WEBVTT

1
00:00:03.560 --> 00:00:08.400
The information economy as a ride.
The world is teeming with innovation as new

2
00:00:08.439 --> 00:00:14.560
business models reinvent every industry industry.
Inside Analysis is your source of information and

3
00:00:14.759 --> 00:00:18.879
insight about how to make the most
of this exciting new era. Learn more

4
00:00:19.039 --> 00:00:23.960
at Inside analysis dot Comside Analysis dot
com. And now here's your host,

5
00:00:24.039 --> 00:00:31.600
through Eric Kavanaugh. All Right,
ladies and gentlemen, Hello, and welcome

6
00:00:31.640 --> 00:00:35.000
back once again to the only coast
to coast radio show in the USA.

7
00:00:35.079 --> 00:00:38.079
AY, and that's all about the
information economy. Of course, that is

8
00:00:38.119 --> 00:00:42.359
Inside Analysis, Yours truly, Eric
Kavanaugh here, and I am very excited

9
00:00:42.359 --> 00:00:45.759
folks to have a preview of something
today. So we're gonna do a little

10
00:00:45.840 --> 00:00:51.880
time capsule conversation with an expert in
from HPE. He is the gm n

11
00:00:51.920 --> 00:00:57.159
VP over at HPE Esmeral Software,
which is some pretty interesting stuff. So

12
00:00:57.159 --> 00:00:59.520
we're gonna talk about AI, what
this stuff is, how it works,

13
00:00:59.560 --> 00:01:02.079
what it does, why you should
care about it. Of course, there's

14
00:01:02.079 --> 00:01:06.439
a lot of discussion about AI these
days, largely because of these large language

15
00:01:06.439 --> 00:01:08.719
models that have come out. AI
has been around for decades. It's nothing

16
00:01:08.840 --> 00:01:14.719
new, but the fact that we
have this nexus of compute power algorithms,

17
00:01:14.760 --> 00:01:18.560
business use cases and now all this
awareness thanks to chat, GPT etc.

18
00:01:19.200 --> 00:01:23.359
Has really forced this to the forefront
and it's a big deal and it's going

19
00:01:23.400 --> 00:01:26.959
to reshape just about every part of
the IT landscape in some way, shape

20
00:01:27.000 --> 00:01:32.640
or form. So it's important and
frankly imperative that we understand what all that

21
00:01:32.719 --> 00:01:36.280
means. And so with that I
have Mohan tell us a bit about yourself

22
00:01:36.280 --> 00:01:40.040
and as Roland what's going on over
there? Hey? Thanks, ech,

23
00:01:40.200 --> 00:01:42.840
so excited to be on the show. High folks. So my name's Mohan.

24
00:01:44.319 --> 00:01:48.920
I'm the general manager of HPS ASMO
Software Business. Fairly new to this

25
00:01:48.959 --> 00:01:52.879
soil, joined about the years ago. And what my business unit does is

26
00:01:52.920 --> 00:01:57.719
we focus on technologies that make it
easy for our customers to develop and deply

27
00:01:59.359 --> 00:02:04.120
data and analytics applications. Analytics changing
all the way from BI and reporting type

28
00:02:04.200 --> 00:02:07.080
use cases through to large scale data
analytics and all the way to AI and

29
00:02:07.199 --> 00:02:12.560
m l UM. We largely target
enterprise customers and our mission is to try

30
00:02:12.560 --> 00:02:15.280
and make it easy for our customers
to in some sense develop and deply applications

31
00:02:15.879 --> 00:02:22.280
UH to the best of their abilities
of such. So where did ASMORL come

32
00:02:22.319 --> 00:02:28.120
from? And what does it encompass? Yep, so sorry sorry, worse

33
00:02:28.560 --> 00:02:30.240
about that. I'm in a conference
woman, like you know, my admin,

34
00:02:30.280 --> 00:02:34.280
I just came in, So sorry
by that. Uh yeah, So

35
00:02:34.479 --> 00:02:38.599
the questions come from, yes,
what was the best world, what's the

36
00:02:38.960 --> 00:02:40.919
what's the mission? And what I
always love to know the kernel of the

37
00:02:40.960 --> 00:02:46.159
technology too, So that's that's a
great question, eadic and actually as well

38
00:02:46.240 --> 00:02:52.159
precedes my time in the company.
Asmall was formed when our leadership decided to

39
00:02:52.199 --> 00:02:54.120
invest in software as a growth opportunity, as well as truly formed by a

40
00:02:54.120 --> 00:02:59.360
whole bunch of startup acquisitions. We
acquired companies like Blue Data and my part

41
00:03:00.080 --> 00:03:04.000
alonger. We also acquired companies such
as ampool and Cycle, et cetera.

42
00:03:04.360 --> 00:03:07.000
So in some sense, es I
believe it derives from like you know,

43
00:03:07.080 --> 00:03:12.840
the emerald color. But we like
to think of ourselves as HP's biggest,

44
00:03:13.039 --> 00:03:15.199
a little secret, right, and
our mission is largely focused on how we

45
00:03:15.280 --> 00:03:22.800
can how we can basically use software
to develop a growth division for the company.

46
00:03:23.120 --> 00:03:24.919
Yeah, I'm very familiar with map
bar so for there our audience,

47
00:03:24.919 --> 00:03:29.840
who doesn't know you had cloud Era
come out first with this had due to

48
00:03:29.960 --> 00:03:32.919
the highly distributed or they had to
distributed file system which was going to solve

49
00:03:32.960 --> 00:03:38.599
all the world's problems using map reduce. I was a bit skeptical about that

50
00:03:38.680 --> 00:03:42.080
from the early days because map produce
is very good at doing certain things like

51
00:03:42.159 --> 00:03:46.199
indexing the web, but it's really
not purpose built for other kinds of very

52
00:03:46.240 --> 00:03:50.120
common analytics use cases. And so
then Horton Works came out. But the

53
00:03:50.199 --> 00:03:54.080
third to the game with a very
interesting approach was map r and you had

54
00:03:54.199 --> 00:03:59.080
RDDS, right, resilient data sets
or something is that. Can you remind

55
00:03:59.080 --> 00:04:01.240
me what that was? You know? Yes, so you're actually taking me

56
00:04:01.240 --> 00:04:03.800
back in time, and this is
truly a time capture story. I think

57
00:04:03.800 --> 00:04:06.840
if if I take a step back
here and think about the evolution of technology,

58
00:04:06.919 --> 00:04:10.400
right, because again, when you
think about Horton Works, cloud or

59
00:04:10.520 --> 00:04:14.280
do, we're going back to the
twenty eleven twenty thirteen where big data was

60
00:04:14.280 --> 00:04:16.519
the fancy new term of such today, right, And we've come a long

61
00:04:16.519 --> 00:04:20.639
way today. So you know,
we've basically taken the mapper like acquisition and

62
00:04:20.680 --> 00:04:24.600
we've transformed it into something that we
call the data fabric, which is a

63
00:04:24.639 --> 00:04:28.360
much more forward looking view, right, and and big different siators for us

64
00:04:28.439 --> 00:04:31.000
here really were I think when we
acquired Mapper we got not just the best

65
00:04:31.000 --> 00:04:35.439
of breed ib but we're also about
the best of the talent in a highly

66
00:04:35.439 --> 00:04:39.600
technical space of souce. Here.
What we've done over the last several years

67
00:04:39.680 --> 00:04:43.959
is we've refocused the team to move
away from the map reduced paradigm, to

68
00:04:44.000 --> 00:04:47.120
move away from the original HDFS roots, to focus on more of the analytic

69
00:04:47.160 --> 00:04:50.399
work clothes and like the substace that
our customers care about. So today,

70
00:04:50.439 --> 00:04:54.199
for example, when you look at
our data fabric product, we are on

71
00:04:54.199 --> 00:04:59.800
a journey where we would like to
become the analytics data plane which supports data

72
00:05:00.079 --> 00:05:04.120
variety of formats. We are long
ways away from the DFS map produced days

73
00:05:04.240 --> 00:05:09.360
to where we support our our primary
interfaces today our files, objects, and

74
00:05:09.399 --> 00:05:13.360
we've just introduced Calfeck complan streams.
More importantly, we see this as a

75
00:05:13.399 --> 00:05:16.480
continuum where we want our customers to
have capabilities such as being able to do

76
00:05:16.600 --> 00:05:20.720
graphs, vector databases, tables,
et cetera in the same substate of sotium.

77
00:05:21.000 --> 00:05:25.720
Another big change for us with the
portfolio has been the fact that while

78
00:05:25.800 --> 00:05:27.920
in the good old days, if
you go back to the Haydu based basilia

79
00:05:27.920 --> 00:05:30.800
about how do I create the best
possible charterage system where I can basically spread

80
00:05:30.839 --> 00:05:34.240
out my data. We've taken a
more like we've taken a more forward looking

81
00:05:34.319 --> 00:05:38.879
view here today where we believe there
are many storage solutions available in the market

82
00:05:38.920 --> 00:05:43.519
today, including HP. HP has
some great storage assets that we bring to

83
00:05:43.560 --> 00:05:46.759
our customers. We would like to
position our data fabric as a layer on

84
00:05:46.800 --> 00:05:49.480
top of existing storage solutions where we
want to truly become the analytics data plane.

85
00:05:49.560 --> 00:05:53.800
Right, So the value proposition to
the customer really is the ability to

86
00:05:53.839 --> 00:05:59.240
manage data in a variety of formats
across a variety of data sources, including

87
00:05:59.279 --> 00:06:01.040
all the enterprise great cardrails that you
may need. So, for example,

88
00:06:01.079 --> 00:06:06.199
think about movement of data, restricting
access to data, doing capabilities like geofencing,

89
00:06:06.199 --> 00:06:10.639
and making sure that you certain types
of data don't cross that boundaries.

90
00:06:10.959 --> 00:06:13.839
Were able to do all of those
things today and netnet. The goal is

91
00:06:13.879 --> 00:06:16.680
to make it simple for our developers. That's primarily the audience that we catered

92
00:06:16.720 --> 00:06:20.480
to with HP asmal software. It
is really to make it easy for our

93
00:06:20.519 --> 00:06:25.319
developers to basically not how to varry
about where is the data getting produced,

94
00:06:25.360 --> 00:06:27.720
what's the format it's going to be
in all of the stuff. But make

95
00:06:27.720 --> 00:06:29.959
it easy for them to say,
hey, here's the data I want to

96
00:06:30.000 --> 00:06:33.839
process, and inside are the ameral
inside of wantage rate from the data.

97
00:06:33.920 --> 00:06:38.560
Yeah, so this is very very
interesting. I've thought about this stuff for

98
00:06:38.600 --> 00:06:42.040
a long time, right, and
so I've been I mean I programmed when

99
00:06:42.079 --> 00:06:45.160
I was I think thirteen years old. I would grow a couple of games,

100
00:06:45.240 --> 00:06:46.839
right, and I've been in the
data space now for twenty three years,

101
00:06:46.879 --> 00:06:49.160
so tracking is pretty closely. And
I knew it was going to get

102
00:06:49.160 --> 00:06:53.959
big. I knew analytics was going
to be huge, even I didn't expect

103
00:06:53.959 --> 00:06:57.160
things to get as big and amazing
as they are today. But just to

104
00:06:57.279 --> 00:07:00.600
kind of explain to our audience,
we've gone on this journey from data being

105
00:07:00.639 --> 00:07:03.279
persisted in a single database that's your
production database which you used to run your

106
00:07:03.319 --> 00:07:08.560
business. Then we had data warehousing
because we realized you couldn't really query these

107
00:07:08.560 --> 00:07:13.279
production systems and the business wanted to
understand things trends, developments, peaks,

108
00:07:13.399 --> 00:07:16.959
valleys, etc. You couldn't really
easily ascertain that stuff without a performance hit

109
00:07:17.000 --> 00:07:19.959
on the production system. So that's
why we had data warehouses, right,

110
00:07:20.000 --> 00:07:23.319
and then we built all up cubes
on top of that. Well, then

111
00:07:23.319 --> 00:07:27.680
this data lake concept comes out,
and it really it's actually after had do

112
00:07:27.920 --> 00:07:30.360
right, So had Duke came out
first, and then the data lake concept

113
00:07:30.360 --> 00:07:32.360
comes out, and I remember thinking
to myself, are we making the same

114
00:07:32.360 --> 00:07:39.600
mistake again of trying to house all
this information in one instance? And granted

115
00:07:39.680 --> 00:07:42.360
it's a cluster, or you can
have multiple clusters or different things you can

116
00:07:42.399 --> 00:07:46.800
do, but it just I wonder
to myself, is this really making sense?

117
00:07:46.279 --> 00:07:49.399
And really what you want to be
able to do is have this you

118
00:07:49.439 --> 00:07:54.399
could even call it a semantic layer, but some abstraction layer that sits on

119
00:07:54.480 --> 00:08:00.079
top of all the persistent data and
serves as your orchestration environments. And if

120
00:08:00.120 --> 00:08:03.560
you can do things cleverly, then
you can use this for analytics. But

121
00:08:03.600 --> 00:08:07.600
the point is you don't anymore have
to strip out all the context in order

122
00:08:07.639 --> 00:08:11.439
to save transactional data and then later
analyze it. Right. I mean,

123
00:08:11.480 --> 00:08:15.360
if you look at a lot of
the generative AI stuff, it's being used

124
00:08:15.639 --> 00:08:18.759
to make up for the fact that
we stripped out the context in order to

125
00:08:18.759 --> 00:08:20.879
get it into these relational models.
And it was just a bunch of gymnastics

126
00:08:22.279 --> 00:08:26.160
done to get there. And what
you're telling me that I think is very

127
00:08:26.240 --> 00:08:30.800
interesting now is that Esmeral, this
data fabric can serve that purpose, it

128
00:08:30.839 --> 00:08:33.080
can be well. Frankly, in
two thousand and one, I knew what

129
00:08:33.200 --> 00:08:37.840
data warehouse consultant too talked about having
an enterprise backplane, is what he was

130
00:08:37.879 --> 00:08:41.440
referring to, and it was this
analytics layer. And so it's like,

131
00:08:41.519 --> 00:08:46.720
wow, here we are. Now
you've leveraged map bar but other technologies and

132
00:08:46.759 --> 00:08:52.320
of course some homegrown stuff to create
this very rich, fertile, dynamic data

133
00:08:52.360 --> 00:08:56.960
fabric that has the guardrails baked in. I mean, that's soup to nuts,

134
00:08:56.039 --> 00:08:58.399
right. So, Edic, I
think you're hitting the NA on the

135
00:08:58.440 --> 00:09:01.200
hitting NA. I think I'm a
big fan of yours. I think you

136
00:09:01.279 --> 00:09:05.279
really were attacking this space. So
I think you're one of both the most

137
00:09:05.360 --> 00:09:07.679
knowledgetable people in the spaces as a
visionary. Here, the way I think

138
00:09:07.679 --> 00:09:11.600
about data really is it is a
continuing right. And and the reason we

139
00:09:11.720 --> 00:09:15.840
basically indexed on the techno on the
terminology of fabric as well is we see

140
00:09:15.919 --> 00:09:18.960
data as being in a continuous states
right. The good ol days, we

141
00:09:18.960 --> 00:09:22.039
had wadehouses, we had databases we
have now we have lakehouses. When I

142
00:09:22.080 --> 00:09:26.200
think about data fabrics today, I
actually think of them as interconnective measures of

143
00:09:26.600 --> 00:09:30.559
persistent data that we want to like, you know, interoperate with one another.

144
00:09:30.919 --> 00:09:33.000
You bring up context. I think
context is critical and context means different

145
00:09:33.000 --> 00:09:37.120
things to different folks. For example, today we have customer you use cases

146
00:09:37.559 --> 00:09:41.639
where in the past they had to
replicate data depending on the format the data

147
00:09:41.720 --> 00:09:45.000
is going to be processed. In
very simple example, here is very large

148
00:09:45.039 --> 00:09:48.600
financial institution, they had to create
multiple copies of the data because guess what,

149
00:09:48.679 --> 00:09:50.679
the data science team can only operate
on objects and files, but the

150
00:09:50.720 --> 00:09:54.360
audit and the compliance teams that work
on exactly the same data sets want a

151
00:09:54.440 --> 00:09:58.600
more sequel like interface, right,
and again, depending on the way that

152
00:09:58.679 --> 00:10:01.279
the type of sequel they had to
replic the data a different data stores.

153
00:10:01.360 --> 00:10:03.879
Right. Today, with data fabric
what we try to provide to our customers

154
00:10:05.039 --> 00:10:07.559
is the single pane of glass where
the data can come in a variety of

155
00:10:07.600 --> 00:10:11.320
formats. And one of the most
exciting use cases that I've seen so far

156
00:10:11.360 --> 00:10:15.360
at our customers is their streaming telemetry
data. Right. So think of logs

157
00:10:15.840 --> 00:10:18.399
using a CALF interface, the same
file does not have to be like in

158
00:10:18.399 --> 00:10:22.240
traditional situations you would want to copy
the CALF file into an object store and

159
00:10:22.279 --> 00:10:26.039
then process it as a file,
et cetera. Today, with the data

160
00:10:26.039 --> 00:10:28.679
fabric, what happens is the data
comes in as a calf CU stream but

161
00:10:28.879 --> 00:10:33.879
automatically. Data Scientist celebrated the process
at using an object interface. Right.

162
00:10:33.240 --> 00:10:37.440
So where we are headed to here
really is as you said, it's really

163
00:10:37.440 --> 00:10:41.720
worth trying to build out that abstraction
that beats the customers for their developer needs,

164
00:10:41.840 --> 00:10:46.320
right without having to vary about things
like marshaling data, formatting, data

165
00:10:46.360 --> 00:10:48.080
staging, placement, etc. The
goal is to try and make it easy

166
00:10:48.120 --> 00:10:52.720
for customers to be able to analyze
data as it comes. Right. Another

167
00:10:52.720 --> 00:10:58.159
big thing we think about here is
while you focused on persistent data, we

168
00:10:58.200 --> 00:11:01.399
actually think a lot of data in
the future is going to be developed at

169
00:11:01.399 --> 00:11:03.519
the edge and that unlocks a whole
bunch of interesting use cases. Again,

170
00:11:03.519 --> 00:11:07.360
so if you think about Jenny,
and if you think about LMS, etc.

171
00:11:07.919 --> 00:11:09.679
There's a lot of excitement today.
Again, I think chat GPT,

172
00:11:11.200 --> 00:11:13.519
I think you said it correctly right. AI has been around for a while

173
00:11:13.600 --> 00:11:16.840
but it's just a matter of time
and it's a matter of computer research is

174
00:11:16.879 --> 00:11:20.639
to make all the cool technology that
has developed a couple of decades ago real

175
00:11:20.759 --> 00:11:24.399
and meaningful. Right, I think
we're going through a renaissance here where I

176
00:11:24.399 --> 00:11:28.120
feel like if you look at some
of the new world coming out of academia

177
00:11:28.120 --> 00:11:31.000
as well as some of the larger
like you know, AI vendors, there's

178
00:11:31.000 --> 00:11:33.759
a shift from I think. I
think chat GPT opened the doors to show

179
00:11:33.840 --> 00:11:37.840
us what is the art of possible
and chat GPT strength is it takes a

180
00:11:37.960 --> 00:11:43.840
large volume of non contextual data and
is able to bring you reasonably good insects.

181
00:11:43.879 --> 00:11:46.720
Right. What more recent research has
started to show and what people are

182
00:11:46.720 --> 00:11:50.639
starting to get excited about in the
industry is if you have focused data sets

183
00:11:50.639 --> 00:11:54.120
where you have richer quality data,
you can build more precise models with smaller

184
00:11:54.159 --> 00:11:58.120
data sets. Right. And from
an HPE point of view, we think

185
00:11:58.120 --> 00:12:01.440
this is a huge opportunity. Right. Our being pieces is around making hybrid

186
00:12:01.559 --> 00:12:05.320
real. We are strong believers that
I personally, I am a strong believer

187
00:12:05.360 --> 00:12:07.120
that, like you know, when
you look at like technologies and at large

188
00:12:07.200 --> 00:12:11.120
language models or the nexternation use cases
of AI m L. I think a

189
00:12:11.159 --> 00:12:15.039
lot of the substrate is going to
be both. It's going to be outside

190
00:12:15.080 --> 00:12:16.480
the data center, but it's also
going to be outside public cloud. It's

191
00:12:16.480 --> 00:12:20.759
going to be at aspects like the
edge. And what we're trying to do

192
00:12:20.799 --> 00:12:24.720
with HP Esmeral is we're trying to
provide foundations where our customers can build out

193
00:12:24.759 --> 00:12:28.279
these externation of applications. So why
we've talked a lot about data fabric,

194
00:12:28.799 --> 00:12:33.000
we have a complementary product that is
going to be announced and launched on the

195
00:12:33.039 --> 00:12:35.759
sixteenth of May called Unified Analytics.
The idea here is to basically bring to

196
00:12:35.799 --> 00:12:41.440
our customers the best breed open source
tools right however, provide them with enterprise

197
00:12:41.440 --> 00:12:46.000
breed guard rates. So think about
lifecycle management, single science on security,

198
00:12:46.080 --> 00:12:48.519
patching, etc. HP takes care
of all of this. What differentiates are

199
00:12:48.600 --> 00:12:52.440
Unified Analytics offering from what we see
in the market today is it's really two

200
00:12:52.440 --> 00:12:56.519
things. One is HP is committed
to focusing on true open source, where

201
00:12:56.559 --> 00:13:01.559
we don't create HP folks of popular
open source technologies. The second is,

202
00:13:01.919 --> 00:13:05.440
I think a big mission for US
is open interfaces and no vendor locking.

203
00:13:05.840 --> 00:13:11.559
So likely basically thinking of data fabric
as a dynamic continuum for the datablane.

204
00:13:11.759 --> 00:13:15.639
We think of unified analytics as well
as being this curated catalog of the best

205
00:13:15.720 --> 00:13:18.679
of WEAT solutions that help our customers
build out the next national solutions. So

206
00:13:18.759 --> 00:13:22.840
all the way from doing LMS to
building out like you know, needle in

207
00:13:22.879 --> 00:13:26.039
the haystack, Sparks solutions, our
customers are doing all of these things on

208
00:13:26.120 --> 00:13:30.679
utified analytics today. So let me
pause here. I've kind of gone around

209
00:13:30.679 --> 00:13:35.159
this. Yeah, this is some
good stuff, so if I understand it

210
00:13:35.200 --> 00:13:39.279
correctly, and let's just talk for
a second about Kubernetes and container orchestration.

211
00:13:39.840 --> 00:13:43.279
You know, I explain to people
like when I went to cubecon you look

212
00:13:43.320 --> 00:13:46.600
around and there are now fifty vendors
doing observability. Well, where did they

213
00:13:46.600 --> 00:13:52.159
all come from? I mean they
came because Google created this thing called Kubernetes,

214
00:13:52.240 --> 00:13:56.799
which sort of has become the de
facto standard for container orchestration, which

215
00:13:56.879 --> 00:14:01.080
is really the new mechanism for holding
out enterprise software. Right, I mean

216
00:14:01.200 --> 00:14:05.720
everyone kind of sees that's the direction
thing going. But containers, the one

217
00:14:05.759 --> 00:14:09.639
thing they don't contain is data,
so they have to connect to some persistent

218
00:14:09.720 --> 00:14:15.039
storage. Is the vision here that
this stata fabric then becomes the persistent storage

219
00:14:15.120 --> 00:14:20.519
that something like cuberneties would use.
It's it's very workload specific, right,

220
00:14:20.600 --> 00:14:22.519
So you know if you look at
the ESMA portfolo. We have also acquired

221
00:14:22.519 --> 00:14:26.360
a company called Blue Data, which
was providing a state of the art container

222
00:14:26.440 --> 00:14:31.480
run time. Right. Since then
we've basically standardized on cuberities. So while

223
00:14:31.559 --> 00:14:35.600
data Fabric has a native CSI layer
and et cetera, we also see this

224
00:14:35.600 --> 00:14:37.080
as a continuer because depending on workload, right, depending on the type of

225
00:14:37.120 --> 00:14:41.759
workload you of containerizing, you have
different data requirements. For example, if

226
00:14:41.759 --> 00:14:46.240
you're continerizing a database, right,
you want something like a block service like

227
00:14:46.559 --> 00:14:50.559
you need the performance you need in
some sense a persistent instance right that you

228
00:14:50.559 --> 00:14:54.120
can basically connect. You need high
performance like storage. Right. However,

229
00:14:54.159 --> 00:14:56.360
if you're looking at more of an
analytic solution, right, you don't need

230
00:14:56.399 --> 00:15:00.240
the same amount of throughput and eyeops, sots, et cetera here, right,

231
00:15:00.440 --> 00:15:03.519
So odd approach. So this is
really we are attacking. So again,

232
00:15:03.519 --> 00:15:05.960
when you think about unified analytics of
data Fabric, we do use colubility

233
00:15:07.120 --> 00:15:11.039
separate computer storage HOB. We've taken
a more liberal stance here and saying it

234
00:15:11.159 --> 00:15:16.759
really depends on the worklop and supports
a bunch of interfaces natively for containers,

235
00:15:16.919 --> 00:15:20.679
but we also play well with other
story solutions that may have been works.

236
00:15:22.039 --> 00:15:24.360
Right. So basically, sometimes yes
and sometimes no, it just depends upon

237
00:15:24.399 --> 00:15:28.879
the use case and the latency is
required and the business case, etc.

238
00:15:28.720 --> 00:15:33.080
But but nonetheless, and let let's
kind of dig into this unified analytics too,

239
00:15:33.120 --> 00:15:37.840
because again we created all these problems
when we try to solve a problem,

240
00:15:37.039 --> 00:15:39.919
right, I mean that was kind
of the challenge here, is that

241
00:15:39.960 --> 00:15:43.759
we keep creating new problems to solve
the old problems that we never really solved.

242
00:15:43.080 --> 00:15:48.879
And so the analytics world, you
know, again like with data warehouses,

243
00:15:48.919 --> 00:15:52.120
for example, it was mostly transactional
data from arke systems for example.

244
00:15:52.200 --> 00:15:56.200
Maybe you got crazy and had some
click stream analysis in there. But now

245
00:15:56.240 --> 00:16:00.559
these data lakes are focused on other
kinds of data and you look at like

246
00:16:00.600 --> 00:16:03.200
again, just to get back to
observability, they're like fifty different vendors who

247
00:16:03.279 --> 00:16:08.519
are ginning up creating all of this
observability through different kinds of data inside the

248
00:16:08.600 --> 00:16:14.039
information infrastructure. Basically, right,
it's done for performance, it's done for

249
00:16:14.080 --> 00:16:17.840
troubleshooting, it's done for application development, of design, all these different reasons

250
00:16:18.039 --> 00:16:22.279
why you do that stuff. Security
obviously, but nonetheless, having a cohesive

251
00:16:22.440 --> 00:16:30.200
view of information assets that's really powerful
for being able to generate meaningful analytics that

252
00:16:30.240 --> 00:16:33.759
can help the business. And I'm
guessing that's really what's going on here with

253
00:16:33.799 --> 00:16:37.480
this unified analytics approach, is that? Right? Absolutely? Absolutely X.

254
00:16:37.559 --> 00:16:41.000
If you think about HP as most
software customers, we focus on the Fortune

255
00:16:41.039 --> 00:16:45.919
fifty to the function in two thousand, which largely enterprise teams with sophisticated developers.

256
00:16:45.960 --> 00:16:49.080
Right. What you heard from my
developer community is they love open source.

257
00:16:49.120 --> 00:16:52.840
However, bin open source is great
for prototyping, there are a lot

258
00:16:52.840 --> 00:16:56.159
of challenges to take a prototype into
production, right, So what we're trying

259
00:16:56.159 --> 00:16:59.559
to do with unified Analytics is to
try and bring the best of reopen source

260
00:16:59.600 --> 00:17:02.679
innovation to the enterprise force frame.
So what we tried to do is we

261
00:17:02.720 --> 00:17:07.119
try to provide a curated set of
frameworks around across three or four specific enterprise

262
00:17:07.119 --> 00:17:11.759
workloads. So think about data engineering, so think about airflow, pressedto type

263
00:17:11.759 --> 00:17:15.039
capabilities, think about bi reporting,
so we include super set, think about

264
00:17:15.079 --> 00:17:19.079
lot scale analytics. So we have
Spark, we have Livy and stuff,

265
00:17:19.400 --> 00:17:22.279
and then we have like you know, the AIMI, which is the more

266
00:17:22.279 --> 00:17:23.920
cutting a kind of capability. So
this is where we have a lot of

267
00:17:23.960 --> 00:17:29.160
exciting stuff like we have que flow, we have mlflow ray Feast, etc.

268
00:17:29.960 --> 00:17:32.960
What we try to do from an
HP perspective is we try to take

269
00:17:33.000 --> 00:17:37.839
these open source frameworks, make absolutely
no changes to the framework, but create

270
00:17:37.000 --> 00:17:41.480
enterprise gate guard rails so an enterprise
customer can build a solution without having to

271
00:17:41.519 --> 00:17:47.720
worry about managing versions of Spark called
which version of que flows? Right?

272
00:17:48.079 --> 00:17:52.440
Right? That's this is very very
cool stuff. And I love the focus

273
00:17:52.440 --> 00:17:56.839
on aggregating and hardening open source technology
because you're right, there's a lot of

274
00:17:56.839 --> 00:17:59.680
stuff out there for folks. Don't
touch that down, We'll be right back.

275
00:17:59.680 --> 00:18:04.839
You are think to inside analysis.
Do you own an annuity either fixed

276
00:18:04.920 --> 00:18:08.920
rate, index or variable? Are
you paying high fees and getting low returns?

277
00:18:10.319 --> 00:18:12.599
If so, Annuity General would like
you to have this free book to

278
00:18:12.680 --> 00:18:17.920
learn the pitfalls and mistakes if buying
an annuity. The Annuity Dues and Don'ts

279
00:18:17.960 --> 00:18:22.359
for Baby Boomers contains the little known
truths about annuities like how to help reduce

280
00:18:22.359 --> 00:18:26.000
your fees and increase retirement income,
and it's free. That's right free.

281
00:18:26.319 --> 00:18:30.680
As a bonus, we'll also throw
in a free annuity rate report just for

282
00:18:30.759 --> 00:18:36.480
calling. We researched over one thousand
annuities and summarized rates and benefits from financially

283
00:18:36.519 --> 00:18:41.119
strong insurers. You get annuity dues
and don'ts for baby boomers and the annuity

284
00:18:41.279 --> 00:18:45.599
rate Report, both absolutely free for
calling Annuity General Today. Hurry supplies are

285
00:18:45.640 --> 00:18:51.599
limited. Call now eight hundred two
four or five one six nine seven,

286
00:18:51.880 --> 00:18:56.920
eight hundred two four, five one
six nine seven, eight hundred two four

287
00:18:56.000 --> 00:19:03.440
or five one six nine, seven
hundred two four or five sixteen ninety seven.

288
00:19:03.200 --> 00:19:07.640
Do you own a timeshare? We'll
face the facts. You made a

289
00:19:07.680 --> 00:19:11.079
mistake, you made a bad purchase. A timeshare is not an investment.

290
00:19:11.200 --> 00:19:15.359
It's a money pit that continues forever. If you use your time share,

291
00:19:15.599 --> 00:19:21.079
that's great. But if you don't
and you want illegally get out of your

292
00:19:21.160 --> 00:19:25.880
contract, call my friends right now
at the Timeshare Exit Hotline. They're an

293
00:19:25.880 --> 00:19:30.519
experienced team of lawyers who help good
people like you get out of a timeshare

294
00:19:30.599 --> 00:19:34.400
contract that they just don't want.
Don't throw away your money on maintenance fees.

295
00:19:34.759 --> 00:19:37.759
Use it for things you really want. We can help you end your

296
00:19:37.799 --> 00:19:42.640
time share contract and stop the money
drain immediately. If you are ready to

297
00:19:42.680 --> 00:19:48.160
move on with your time share,
call our team right now. Cancel your

298
00:19:48.160 --> 00:19:52.720
time share now with a free call. Eight hundred two ninezero six seven O

299
00:19:52.000 --> 00:19:57.440
five eight hundred two nine zero six
seven O five eight hundred two nine zero

300
00:19:57.680 --> 00:20:03.519
six seven O five. That's eight
hundred two nine zero sixty seven. Do

301
00:20:03.559 --> 00:20:07.319
you own a timeshare. We'll face
the facts. You made a mistake,

302
00:20:07.480 --> 00:20:11.599
You made a bad purchase. A
timeshare is not an investment. It's a

303
00:20:11.720 --> 00:20:17.440
money pit that continues forever. If
you use your time share, that's great.

304
00:20:17.640 --> 00:20:21.839
But if you don't and you want
illegally get out of your contract,

305
00:20:22.119 --> 00:20:26.920
call my friends right now at the
Timeshare Exit Hotline. They're an experienced team

306
00:20:26.960 --> 00:20:30.319
of lawyers who help good people like
you get out of a timeshare contract that

307
00:20:30.440 --> 00:20:34.839
they just don't want. Don't throw
away your money on maintenance fees. Use

308
00:20:34.880 --> 00:20:38.279
it for things you really want.
We can help you end your time share

309
00:20:38.319 --> 00:20:42.960
contract and stop the money drain immediately. If you are ready to move on

310
00:20:44.000 --> 00:20:48.519
with your time share. Call our
team right now. Cancel your time share

311
00:20:48.559 --> 00:20:52.400
now with a free call. Eight
hundred two eight nine O four one three

312
00:20:52.480 --> 00:20:57.519
eight hundred two eight nine O four
one three eight hundred two eight nine O

313
00:20:57.799 --> 00:21:03.920
four one three. That's eight hundred
two eight nine zero four thirteen. Have

314
00:21:03.039 --> 00:21:07.200
you ever wanted to make a difference
but didn't know where to start, Well,

315
00:21:07.200 --> 00:21:10.839
it's easier than you think. Volunteering
is more important than ever, Yet

316
00:21:10.920 --> 00:21:14.359
sixty six percent of people think they
can't make an impact. At Points of

317
00:21:14.440 --> 00:21:18.200
Light, we believe that you can
make a difference every day. That's why

318
00:21:18.240 --> 00:21:22.359
we do our part to help you
do yours, and volunteering is just the

319
00:21:22.440 --> 00:21:25.960
start. Making a difference is so
much more, from helping a neighbor to

320
00:21:26.079 --> 00:21:30.279
voting to flexing your purchasing power.
Visit Points of Light dot org slash Civic

321
00:21:30.279 --> 00:21:33.880
Circle today to learn more about turning
your passion into action. Do you owe

322
00:21:33.920 --> 00:21:40.079
the IRS ten thousand dollars or more
in back taxes? Are you being audited

323
00:21:40.240 --> 00:21:45.119
or investigated? Has the IRS and
you a letter demanding payment? You may

324
00:21:45.160 --> 00:21:48.880
not owe what they claim. Make
this free call to the tax doctor now

325
00:21:48.079 --> 00:21:53.400
let them negotiate with the IRS on
your behalf eight hundred four eight five four

326
00:21:53.480 --> 00:21:59.759
eight O three eight hundred four eight
five four eight O three. That's eight

327
00:22:00.319 --> 00:22:07.440
four eight five forty eight. Welcome
back to Inside Analysis. Here's your host,

328
00:22:07.880 --> 00:22:14.240
Eric Kavanaugh. All right, folks, time for the only coast to

329
00:22:14.279 --> 00:22:18.519
coast radio show all about the information
economy, Inside Analysis. Yours truly,

330
00:22:18.599 --> 00:22:22.640
Eric Kavanaugh here dialing into the SAP
Insider event in Vegas. I was hoping

331
00:22:22.640 --> 00:22:26.680
to be there today. I might
be there tomorrow if I could make the

332
00:22:26.119 --> 00:22:30.960
Red Sea part and get over there, which might happen. But it's always

333
00:22:30.000 --> 00:22:34.319
a fun event. It's always very
dynamic, a lot of fantastic classes education

334
00:22:34.400 --> 00:22:37.400
going on, and of course an
exhibit hall with a lot of cool vendors,

335
00:22:37.720 --> 00:22:41.079
and one of my favorite vendors,
quite frankly, I'm called pure Storage

336
00:22:41.240 --> 00:22:45.880
is there and we have Ryan Arsenal
with us to talk about the kinds of

337
00:22:45.880 --> 00:22:48.240
things they do. And I'll just
say real quick, pure Storage is a

338
00:22:48.319 --> 00:22:52.599
storage company. They sell their hardware
vendor, they sell flashdores, they sell

339
00:22:52.599 --> 00:22:56.039
all kinds of different things. I'm
sure we'll hear about that, but what

340
00:22:56.079 --> 00:23:00.720
I've always been impressed by is they
take a very consultative approach. You Typically

341
00:23:00.799 --> 00:23:03.680
with a hardware vendor, you just
get the hardware and you're off to the

342
00:23:03.759 --> 00:23:06.839
races and they just want to move
products. And that is not the case

343
00:23:07.160 --> 00:23:11.119
with pure storage. These folks really
think through solutions and they really provide bridges

344
00:23:11.519 --> 00:23:18.160
to the next phase of enterprises information
strategy or information architecture. At least that's

345
00:23:18.160 --> 00:23:21.119
how I look at it. Because
things are always changing and companies they have

346
00:23:21.240 --> 00:23:25.640
lots of legacy systems and legacy hardware
and applications, etc. It can be

347
00:23:25.759 --> 00:23:30.119
very difficult to kind of break out
of those environments to do quote unquote digital

348
00:23:30.160 --> 00:23:34.680
transformation. But pure storage really allows
you to kind of expedite that and optimize

349
00:23:34.680 --> 00:23:37.759
what you do. So I'm always
excited to talk to these folks. So

350
00:23:37.880 --> 00:23:41.119
Ryan, there you are at the
conference. Tell us what's going on out

351
00:23:41.119 --> 00:23:45.119
there. What are some of the
cooler things that you're working on these days

352
00:23:45.160 --> 00:23:48.880
to help companies transform? Yeah?
Thanks, Eric, I appreciate the introductions.

353
00:23:48.880 --> 00:23:52.759
So, yeah, we're out here
in Vegas. We love this SAP

354
00:23:52.799 --> 00:23:55.839
Insider show. Right. So my
job up here storage on a field solution

355
00:23:55.960 --> 00:24:00.400
architect. I specialize in SAP accounts
here in the AMA because UM and really

356
00:24:00.480 --> 00:24:04.799
My job is really to evangelize storage
is not a commodity anymore. Right,

357
00:24:04.880 --> 00:24:08.920
storage is not just a bunch of
bytes that you store in the side of

358
00:24:08.920 --> 00:24:11.799
a data center and as long as
it's up and running, the lights are

359
00:24:11.799 --> 00:24:17.000
blinking green and you have storage.
That's what That's how people think of storage.

360
00:24:17.079 --> 00:24:18.279
Right. And I was so.
I was an SAP customer for twelve

361
00:24:18.400 --> 00:24:22.240
years. Myself implemented Hana, and
I was the same way. Right,

362
00:24:22.319 --> 00:24:23.720
storage as long as I had it
and it was up and running, and

363
00:24:23.960 --> 00:24:26.200
somebody wanted to write ab up at
two in the morning, that it was

364
00:24:26.240 --> 00:24:30.920
there, they could do it.
I didn't realize the benefits of a storage

365
00:24:30.000 --> 00:24:33.079
right and pure storage we do,
we do come at it differently. Right.

366
00:24:33.079 --> 00:24:37.319
We are a software company, I'd
say, more than we are a

367
00:24:37.400 --> 00:24:41.559
hardware company. It's really the software
around our hardware array that that makes it

368
00:24:42.240 --> 00:24:48.680
so beneficial to the customers. SAP
customers, especially because they're getting more and

369
00:24:48.720 --> 00:24:52.359
more out of their storage. Right, they're using these data services on top

370
00:24:52.400 --> 00:24:57.519
of their Haunta database to do things
like replication and data mobility and snapshots and

371
00:24:57.599 --> 00:25:00.880
back up and data protection, ransomware, of protection. I can go on

372
00:25:00.960 --> 00:25:07.400
and on about the things that our
customers are doing because our storage enables us.

373
00:25:07.880 --> 00:25:11.240
Yeah, that's very cool stuff.
And maybe let's get into some examples

374
00:25:11.279 --> 00:25:15.720
of how that works. Because what
gets me excited thinking about pure storage and

375
00:25:15.720 --> 00:25:21.279
the kind of solutions you build is
that you have this keen understanding of when

376
00:25:21.319 --> 00:25:26.319
a company needs hot data, medium, warm data, cold data. There

377
00:25:26.319 --> 00:25:30.200
are different use cases and of course
different price points and different speeds too.

378
00:25:30.319 --> 00:25:33.640
Right, sometimes you need really fast
data, sometimes you don't, And you

379
00:25:33.680 --> 00:25:37.920
really want to think through these things, especially these days when let's face it,

380
00:25:37.799 --> 00:25:40.920
you know, I haven't talked to
you guys in probably a year,

381
00:25:41.319 --> 00:25:45.799
and in that year, it's something
called observability just exploded all over the planet,

382
00:25:45.920 --> 00:25:47.960
all over this industry. I mean, when you go to Quca and

383
00:25:47.960 --> 00:25:51.359
there are like forty five vendors doing
observability, you know, like, where

384
00:25:51.400 --> 00:25:53.119
do these vendors come from. They're
all over the place, and it's because

385
00:25:53.160 --> 00:25:59.319
they're storing different kinds of data,
different kinds of machine data, doing observability

386
00:25:59.319 --> 00:26:03.640
of when pipelines go down, when
data is not right coming in somewhere.

387
00:26:03.079 --> 00:26:07.440
And so you know, with this
new Kuberneties enabled world, it's incredibly more

388
00:26:07.640 --> 00:26:12.759
complex and Obviously, the business just
wants simplicity, right, So that's something

389
00:26:12.759 --> 00:26:15.960
that you guys are working on.
Yeah, absolutely, Yeah, So we

390
00:26:17.039 --> 00:26:22.599
have we have a number of partnerships
both inside the container and outside the container

391
00:26:22.640 --> 00:26:26.200
world. Right. We obviously started
partnering with VMware first. Right, we

392
00:26:26.279 --> 00:26:30.359
have some of the best integrations with
VMware that I've seen. I pushed VMware

393
00:26:30.400 --> 00:26:33.920
with all my customers making sure that
they're getting the most out of their hardware.

394
00:26:34.000 --> 00:26:37.240
Right. The VMware makes it a
lot easier. But then we come

395
00:26:37.279 --> 00:26:41.039
with their hardware. And then you
mentioned you mentioned data tearing a little bit,

396
00:26:41.119 --> 00:26:42.759
right, So the data teering solution
that we have up here, we

397
00:26:44.200 --> 00:26:48.359
are really fast, right, even
our lower end storage arrays. We built

398
00:26:48.359 --> 00:26:51.359
off flash from the ground up.
We took a bet on flash ten years

399
00:26:51.359 --> 00:26:55.440
ago when people were laughing at us
saying flash is never going to replace disc,

400
00:26:55.960 --> 00:26:59.559
and guess what we are replacing disc
now in the data center. And

401
00:27:00.119 --> 00:27:03.640
it's our goal to make every spinning
piece of hardware disappear from every every data

402
00:27:03.640 --> 00:27:10.160
center in the world. When it
comes to SAP and Hanna, though,

403
00:27:10.359 --> 00:27:15.000
um Hana is a great platform,
but it can be a very expensive platform.

404
00:27:15.480 --> 00:27:18.400
Right, you're looting loading every bite
data up into memory and memories not

405
00:27:18.519 --> 00:27:22.759
cheap. HONA licensing isn't cheap.
So one of the things I've been working

406
00:27:22.759 --> 00:27:26.680
at a lot of my customers are
on is that data tearing solution. Right.

407
00:27:26.880 --> 00:27:30.759
Why are you storing your entire database
in memory, even data that you

408
00:27:30.799 --> 00:27:33.319
may not ever access or maybe maybe
you access to once a year, or

409
00:27:33.319 --> 00:27:38.000
maybe it's more technical data that your
basis team access is infrequently. Right,

410
00:27:38.079 --> 00:27:41.680
there's no reason to store that in
memory. And NSTEAM, which is native

411
00:27:41.720 --> 00:27:45.839
storage extension, it's a HANA piece
of functionality, a great way to be

412
00:27:45.880 --> 00:27:48.519
able to tear your data and tell
Hanna, you know what, I only

413
00:27:48.599 --> 00:27:52.279
need the most critical, most access
data in my memory layer. That's where

414
00:27:52.279 --> 00:27:55.559
I need to speed. And why
not use a really fast storage layer to

415
00:27:56.359 --> 00:28:00.000
store your warm data, don't load
it into memory. And hannas smart enough

416
00:28:00.039 --> 00:28:03.079
to go get that data when it
needs to. And we've had a lot

417
00:28:03.079 --> 00:28:06.480
of success with us because of our
speed. Customers get more aggressive on how

418
00:28:06.519 --> 00:28:10.920
much data they're tearing out, saving
on growth, saving on infrastructure, memory

419
00:28:10.960 --> 00:28:15.119
costs, and even sometimes saving on
licensing because a lot of times SAP well

420
00:28:15.200 --> 00:28:18.240
license based on how big your database
is. And production. Well, and

421
00:28:18.359 --> 00:28:22.920
see that's such an excellent point and
why the consultative approach really helps because you

422
00:28:22.920 --> 00:28:26.079
folks understand that and you know where
the pitfalls are, you know where the

423
00:28:26.119 --> 00:28:30.839
inflection points occur. And that's the
kind of thing absent some good consulting,

424
00:28:32.200 --> 00:28:36.079
a company will step into not fully
appreciating, and then six months, nine

425
00:28:36.079 --> 00:28:37.839
months down the road, they're going, oh, geez, look at these

426
00:28:37.839 --> 00:28:41.279
bills. Now you're looking at some
data migration project, which is going to

427
00:28:41.359 --> 00:28:48.160
be a separate issue. So it
really pays to kind of understand which trajectory

428
00:28:48.200 --> 00:28:51.920
is going to have what results,
right, Sure, Sure, and I

429
00:28:52.000 --> 00:28:56.160
like that you brought up the migration, right. We wanted to disrupt storage.

430
00:28:56.279 --> 00:28:59.839
We were sick of vendors going to
their customers after three years of selling

431
00:28:59.839 --> 00:29:02.400
them storage array and say, hey, the storage is three years old.

432
00:29:02.440 --> 00:29:04.680
We're going to jack your maintenance,
you know, by thirty percent, and

433
00:29:04.720 --> 00:29:07.359
then two years later saying, hey, now your storage it's five years old.

434
00:29:07.559 --> 00:29:11.160
You need to buy another one.
And then you pick it up,

435
00:29:11.160 --> 00:29:12.160
you move it out of the data
center, you bring this new one in,

436
00:29:12.440 --> 00:29:17.039
you do that giant data migration project, which it's it's not easy,

437
00:29:17.240 --> 00:29:18.799
right, that's a that's a hard
thing to do when, especially when there's

438
00:29:19.319 --> 00:29:23.599
upwards a patabytes of data that you
need to move. We change the game,

439
00:29:23.720 --> 00:29:30.319
like we we can non disruptively upgrade
our storage in place while running at

440
00:29:30.359 --> 00:29:33.480
one hundred percent performance. You can
upgrade to the latest and greatest hardware without

441
00:29:33.480 --> 00:29:37.720
ever taking a downtime. We don't, we don't. We don't make you

442
00:29:37.200 --> 00:29:41.440
throw away that old array you do
when you buy Pure sport storage, when

443
00:29:41.480 --> 00:29:44.519
you do your data migration onto Pure, the last data migration you ever have

444
00:29:44.599 --> 00:29:48.279
to do. Wow, that's a
big that's a pretty big promise. That's

445
00:29:48.279 --> 00:29:51.640
some cool stuff. And you know
what I had mentioned before, which again

446
00:29:51.720 --> 00:29:56.160
gets me very excited about your approach, is that a solution from pure storage

447
00:29:56.200 --> 00:30:00.839
can be like a stepping stone into
a whole new dynamic or a whole new

448
00:30:00.880 --> 00:30:04.680
paradigm for how you do your business. So you think about going from on

449
00:30:04.759 --> 00:30:08.880
prem to the cloud. I always
joke we went from hybrid cloud to multi

450
00:30:08.880 --> 00:30:11.839
cloud in like a week or two
weeks because people realize, all right,

451
00:30:11.880 --> 00:30:15.880
it's not just going to be on
prem in this one cloud. It's going

452
00:30:15.920 --> 00:30:19.279
to be this array of cloud solutions, whether it's Amazon Google, Microsoft,

453
00:30:19.440 --> 00:30:23.960
Rax based oracles getting serious about this
stuff now too, and and so that's

454
00:30:25.000 --> 00:30:29.200
a big deal. And you folks
can kind of provide that stepping stone to

455
00:30:30.279 --> 00:30:33.759
get to the ultimate destination here,
but to do so incrementally and you know,

456
00:30:33.799 --> 00:30:37.720
be able to preserve your systems and
your workflows. And that's all very

457
00:30:37.720 --> 00:30:41.599
important stuff, right, I mean, the operations people don't never want to

458
00:30:41.680 --> 00:30:47.519
change anything unless they really really have
to. And I think market dynamics are

459
00:30:47.559 --> 00:30:49.759
such now that you got to change
some stuff. And so this is a

460
00:30:49.799 --> 00:30:53.319
good outlet. I mean, at
least talk to you folks to work through

461
00:30:53.359 --> 00:31:00.119
the consultative process to figure out ways
right right right. And Eric, the

462
00:31:00.119 --> 00:31:03.160
twelve year customer of SAPs, I
ran a platform. I ran the basis

463
00:31:03.160 --> 00:31:07.599
team, the performance team, the
integration team. I know what it's like

464
00:31:07.720 --> 00:31:11.640
to run an SAP application. Not
easy. If I had pure storage when

465
00:31:11.640 --> 00:31:14.559
I was running it, I probably
would have shaved a few years off my

466
00:31:14.599 --> 00:31:18.440
life, saved stay shaving a few
years off my life? Right, Um,

467
00:31:18.680 --> 00:31:21.960
So I get it, right,
I get what these customers are going

468
00:31:22.000 --> 00:31:25.759
through, and I'm trying to evangelize
that yes, your storage can do more

469
00:31:25.799 --> 00:31:27.839
for you. And you nailed it, right, we can. We can

470
00:31:27.880 --> 00:31:32.519
be that stepping stone, you know, get your SAP on Pure Storage and

471
00:31:32.559 --> 00:31:36.519
then we'll grow with you. Right. SAP has got a very aggressive roadmap

472
00:31:36.519 --> 00:31:41.759
to get into Kuberneties and do more
um container based approaches. We have data

473
00:31:41.799 --> 00:31:45.839
service solutions. We acquired a company
called port Works about two years ago.

474
00:31:45.119 --> 00:31:49.640
They are the lead data service provider
for cut these platforms, both in the

475
00:31:49.720 --> 00:31:53.559
data center and in the cloud.
Right, so we have that solution there.

476
00:31:53.920 --> 00:31:57.799
Um. All these data services I
talked about, they come with the

477
00:31:57.839 --> 00:32:01.160
purchase of an array. Right.
We don't nickel and dime for different things.

478
00:32:01.200 --> 00:32:05.920
We don't charge it for snapshots or
replication. You get everything when you

479
00:32:05.960 --> 00:32:09.359
buy Pure Storage now and in the
future. Right as we release cool new

480
00:32:09.359 --> 00:32:13.319
innovations, which is what we do. We innovate. Right as we release

481
00:32:13.400 --> 00:32:15.359
new cool new things. You just
upgrade your OS. Long as you're in

482
00:32:15.440 --> 00:32:20.559
a maintenance content contract, upgrade your
OS and you get access to those and

483
00:32:21.079 --> 00:32:23.480
this software that we built to manage
the on premise array, you can pick

484
00:32:23.480 --> 00:32:28.160
it up and drop it into AWS
and Azure and get some of those same

485
00:32:28.519 --> 00:32:32.880
enterprise data services in a cloud based
model, no kidding. So it's got

486
00:32:32.920 --> 00:32:37.599
a cloud native architecture is what you're
basically saying. Absolutely, it makes it

487
00:32:37.640 --> 00:32:42.240
easier to move those workloads because of
because you're running OROS on top of your

488
00:32:42.319 --> 00:32:45.400
data, both on premise and in
the cloud, you can move things back

489
00:32:45.400 --> 00:32:50.279
and forth seamlessly, and we duplicate
everything, so you're no longer paying expensive

490
00:32:50.319 --> 00:32:55.200
egress charges. And yeah, very
easy to get out of the cloud if

491
00:32:55.200 --> 00:33:00.000
you're running on pure storage as well. That is that is such a huge

492
00:33:00.000 --> 00:33:02.039
each point. I'm remembering this now
from the last time I took a briefing.

493
00:33:02.119 --> 00:33:06.119
So you have your own operating system
for data is kind of how it

494
00:33:06.160 --> 00:33:10.799
works, right, And so if
a client uses your technology for their storage

495
00:33:10.839 --> 00:33:15.359
arrays and they've gotten on Prime,
they've got Cloud. Because you can do

496
00:33:15.400 --> 00:33:20.200
the management in your OS, you
can avoid these egress costs and thus give

497
00:33:20.240 --> 00:33:24.759
a lot more flexibility and I'm guessing
too, visibility into the performance of the

498
00:33:24.839 --> 00:33:28.720
data depending upon where it is.
Is that right, absolutely, we have

499
00:33:28.799 --> 00:33:31.119
we have one single glass pane of
glass to be able to see both your

500
00:33:31.160 --> 00:33:36.440
on TREM storage and your cloud storage
and be able to manage that. Yeah,

501
00:33:36.519 --> 00:33:38.799
that's that's very interesting too. And
then of course across this multi cloud

502
00:33:38.799 --> 00:33:42.880
world. You know, since you've
had a lot of experience with VMware and

503
00:33:42.920 --> 00:33:45.400
now we're looking at this whole new
Kubernetti is enabled world, and just be

504
00:33:45.480 --> 00:33:49.319
curious to hear your thoughts on kind
of where that's all going. Because VMware

505
00:33:49.400 --> 00:33:52.680
is obviously a very strong, prodigious
company, has been around a long time.

506
00:33:52.759 --> 00:33:54.519
It's done a lot of amazing things. When you look at what they

507
00:33:54.559 --> 00:33:58.480
do, you look at what Kubernetti's
does. It's not the same thing,

508
00:33:58.559 --> 00:34:01.880
but it's certainly similar. It's certainly
trying to kind of optimize for the cost

509
00:34:01.920 --> 00:34:07.000
of things and the usage of the
hardware. Where do you see that going

510
00:34:07.079 --> 00:34:09.760
from? You know, from a
customer perspective. If I'm looking at VMware

511
00:34:09.840 --> 00:34:13.400
kubernetties, do I have to choose
one of the other? How would I

512
00:34:13.440 --> 00:34:24.239
do that? Yeah? So,
I mean VMware obviously has has the solution,

513
00:34:24.320 --> 00:34:28.559
right, they have the virtualized solution. M I remember when I was

514
00:34:29.280 --> 00:34:34.360
in my early IT days, we
had a number of projects to get virtualized

515
00:34:34.360 --> 00:34:37.800
then and we did that. Um, Kubernetes is that next step, right?

516
00:34:37.840 --> 00:34:39.760
I think I SAP has been a
little cautious with it first. Um,

517
00:34:40.239 --> 00:34:44.440
you know, Hannah is not something
you can contain our eyes yet,

518
00:34:44.480 --> 00:34:47.920
but we're hoping that's coming. And
some of a lot of their new applications,

519
00:34:49.039 --> 00:34:52.639
you know, like you hear about
the Business Technology Platform and things like

520
00:34:52.920 --> 00:34:59.079
data intelligence to be able to do
more u IoT type monitoring and make real

521
00:34:59.119 --> 00:35:02.360
time decisions in your RP using IoT
data. Those are all containerized, right

522
00:35:02.400 --> 00:35:06.480
and we see a huge future in
that, which is why we bought the

523
00:35:06.519 --> 00:35:12.360
support Work solution, because having data
storage on top of VMware was one thing.

524
00:35:12.480 --> 00:35:15.400
When it comes to Kubernettes, that's
a whole another ball game, and

525
00:35:15.920 --> 00:35:19.960
we realize that early, which is
why we bought part works and it's it

526
00:35:20.119 --> 00:35:24.039
is. I've played around with it. It is just a fantastic container data

527
00:35:24.039 --> 00:35:29.800
storage solution that we think is really
going to help companies as they make that

528
00:35:29.880 --> 00:35:32.559
journey into into containers. Yeah.
No, that's a really really good point,

529
00:35:32.639 --> 00:35:36.599
and I think it's a very clever
move on your part. And just

530
00:35:36.639 --> 00:35:38.480
to explain to the audience for the
folks who don't know yet, because a

531
00:35:38.480 --> 00:35:42.280
lot of folks are still kind of
brushing up on this. You know,

532
00:35:42.440 --> 00:35:46.079
VMware, like SAPs, an old
sort of monolithic application. It's a very

533
00:35:46.239 --> 00:35:51.159
large base of code that does lots
of different things, right, Whereas kubernettes

534
00:35:51.239 --> 00:35:57.199
the idea is containers where it's little
teny tiny processes that get orchestrated from the

535
00:35:57.280 --> 00:36:00.079
engine, from the platform. Right. So it's good to here that SAP

536
00:36:00.280 --> 00:36:04.440
is getting serious about that because to
your point, I'm pretty sure it is

537
00:36:04.480 --> 00:36:07.840
the future. I don't see it. I don't think we're going back to

538
00:36:07.880 --> 00:36:09.280
the monolithic. We are doing things. We're going to have to work with

539
00:36:09.320 --> 00:36:13.119
the monolith for a long time.
But you know, at the end of

540
00:36:13.159 --> 00:36:15.440
the day, you have to think
it's going to be a bit more efficient

541
00:36:15.480 --> 00:36:19.159
with these ephemeral processes. What do
you think, Absolutely, yeah, I

542
00:36:19.199 --> 00:36:22.920
totally agree. I totally agree.
Um. You know, we recall at

543
00:36:22.000 --> 00:36:27.039
Pure we have a concept of legacy
applications and you know, new cloud based

544
00:36:27.039 --> 00:36:30.880
applications, and I think we're starting
to see those things converge. Right.

545
00:36:30.159 --> 00:36:32.679
Um. To your point, SAP
is always going to be a giant,

546
00:36:32.679 --> 00:36:37.639
monolithic beast, right, you got
to run your business somewhere, But all

547
00:36:37.639 --> 00:36:42.480
these ancillary systems that customers have that
maybe they built in dot net on top

548
00:36:42.519 --> 00:36:45.480
of sequel server over the day,
is those are going to become more cloud

549
00:36:45.480 --> 00:36:47.599
based. And cloud eficient and containerize. So we need to be able to

550
00:36:47.599 --> 00:36:51.320
do both. You need to be
able to provide data for both. And

551
00:36:51.360 --> 00:36:53.599
that's that's where pure storage comes in. Yeah, and it seems to me,

552
00:36:53.639 --> 00:36:55.840
I think we're got to about a
minute left here. It seems to

553
00:36:55.880 --> 00:37:00.280
me that you do have this well
ace in the whole and that you've got

554
00:37:00.280 --> 00:37:05.719
this OS for data and operating system
for data which can talk to Kubernetes,

555
00:37:05.760 --> 00:37:07.719
which can talk to SAP, which
you can talk to all these applications.

556
00:37:07.880 --> 00:37:12.159
At the end of the day,
you've got applications that need data as and

557
00:37:12.239 --> 00:37:15.719
when it's required, and they don't
want too much more than that. They

558
00:37:15.760 --> 00:37:17.599
just want the data that they need
to get something done. Right, So

559
00:37:17.719 --> 00:37:22.159
if you can abstract out the management
of that data and extract out that layer,

560
00:37:22.480 --> 00:37:24.840
there are so many things. Like
you said, it will be the

561
00:37:24.880 --> 00:37:29.559
last migration you ever do. That
is not a small thing, because data

562
00:37:29.599 --> 00:37:34.599
migrations kind of suck, right,
There's just a horrible thing to do.

563
00:37:35.039 --> 00:37:38.159
A number of things can go wrong. You fields get truncated, you know,

564
00:37:38.400 --> 00:37:42.679
certain feels still get mapped properly,
and you don't notice. And even

565
00:37:42.679 --> 00:37:45.000
your testing didn't find it. I
mean, there are lots of things didn't

566
00:37:45.039 --> 00:37:47.159
go wrong. So if you can
solve it, solve the Darwin problem right

567
00:37:47.199 --> 00:37:51.679
real quick. I'm with you,
Eric, I agree. I'm going to

568
00:37:51.760 --> 00:37:54.159
get you a free T shirt.
I like that. I appreciate that.

569
00:37:54.400 --> 00:37:58.360
Well. Listen, we were talking
to Ryan Arsenal of Pure Storage, one

570
00:37:58.360 --> 00:38:00.920
of my favorite companies. That will
be right back. You're listening to Inside

571
00:38:00.960 --> 00:38:06.079
and Out. What if you could
own a piece of the future. What

572
00:38:06.159 --> 00:38:08.920
if you could build your next castle
not on sand, but on the bedrock

573
00:38:08.960 --> 00:38:15.159
of a modern blockchain ecosystem. The
first Internet gold Rush made millionaires, The

574
00:38:15.320 --> 00:38:20.360
second wave is minting billionaires, but
the third wave is just gathering now and

575
00:38:20.559 --> 00:38:24.440
anyone can get in on the action. Hop online to crowdpointtech dot com to

576
00:38:24.559 --> 00:38:30.320
learn how you can secure a foothold
in the blockchain revolution. Whatever your passion,

577
00:38:30.679 --> 00:38:34.639
wherever you want to go in life, there's an opportunity awaiting you right

578
00:38:34.679 --> 00:38:38.639
now. Go to crowdpointtech dot com
to learn how the blockchain will fuel the

579
00:38:38.719 --> 00:38:45.840
next generation of innovation in this globally
connected world. That's crowdpointtech dot com,

580
00:38:45.000 --> 00:38:51.400
your trusted agent in an untrusted world. What's the longest running radio show in

581
00:38:51.440 --> 00:38:54.320
the world focused on data, DM
radio Want to be a guest sometime?

582
00:38:54.559 --> 00:39:00.039
Send an email to Info at dmradio
dot biz. That's Info at DM radio

583
00:39:00.239 --> 00:39:05.119
dot biz. What if you could
own a piece of the future. What

584
00:39:05.239 --> 00:39:08.000
if you could build your next castle
not on sand, but on the bedrock

585
00:39:08.039 --> 00:39:14.199
of a modern blockchain ecosystem. The
first Internet gold Rush made millionaires. The

586
00:39:14.360 --> 00:39:19.440
second wave is minting billionaires, but
the third wave is just gathering now and

587
00:39:19.639 --> 00:39:23.519
anyone can get in on the action. Hop online to crowdpointtech dot com to

588
00:39:23.599 --> 00:39:29.320
learn how you can secure a foothold
in the blockchain revolution. Whatever your passion,

589
00:39:29.719 --> 00:39:32.679
wherever you want to go in life, there's an opportunity awaiting you right

590
00:39:32.719 --> 00:39:37.679
now. Go to crowdpointtech dot com
to learn how the blockchain will fuel the

591
00:39:37.800 --> 00:39:44.880
next generation of innovation in this globally
connected world. That's crowd pointech dot com.

592
00:39:45.039 --> 00:39:50.400
Your trusted agent in an untrusted world. What's the longest running radio show

593
00:39:50.400 --> 00:39:52.920
in the world focused on data?
DM radio? Want to be a guest

594
00:39:52.960 --> 00:39:59.280
sometime? Send an email to Info
at dmradio dot biz. That's Info at

595
00:39:59.360 --> 00:40:14.000
DM radio dot biz. If you
served in the Marine Corps, by now

596
00:40:14.039 --> 00:40:16.840
you know about the contaminated water problem
at Camp Lejune. If you were stationed

597
00:40:16.960 --> 00:40:21.960
or worked at Camp Lejune from nineteen
fifty three to nineteen eighty seven, you

598
00:40:22.039 --> 00:40:24.639
probably have a lot of questions.
We have some answers. You could be

599
00:40:24.800 --> 00:40:29.960
entitled to compensation. Billions of dollars
are being allocated to pay for damages to

600
00:40:30.000 --> 00:40:34.800
anyone stationed at Camp Lejune during that
time. Unfortunately, it appears that officials

601
00:40:34.880 --> 00:40:38.039
may have known the contaminated water problem
existed and did little to protect their men.

602
00:40:38.320 --> 00:40:43.000
The Semper five code was not honored. If you or someone in your

603
00:40:43.000 --> 00:40:46.280
family has developed a serious illness,
including various forms of cancer, called this

604
00:40:46.400 --> 00:40:51.519
Camp Lejune Legal Support Line right now. You can't turn back the clock and

605
00:40:51.599 --> 00:40:54.519
change what happened, but you can
certainly call right now and learn your rights

606
00:40:54.559 --> 00:41:00.400
as a marine. Here's the number. Call eight hundred two five four two

607
00:41:00.719 --> 00:41:06.599
one eight eight hundred two five four
three two one eight. That's eight hundred

608
00:41:06.679 --> 00:41:12.360
two five four thirty two eighteen paid
four by Legal Alert Line. Now you

609
00:41:12.400 --> 00:41:16.239
can fly anywhere in the world and
pay discount prices on your airline tickets.

610
00:41:16.360 --> 00:41:21.639
Book a flight today to London,
Paris, Madrid or anywhere else you want

611
00:41:21.639 --> 00:41:27.199
to go and pay a lot less
guarantee, call the International Travel Department right

612
00:41:27.239 --> 00:41:31.679
now at low cost airlines eight hundred
two nine eight five seven eight three eight

613
00:41:31.760 --> 00:41:37.119
hundred two nine eight five seven eight
three. That's eight hundred two nine eight

614
00:41:37.239 --> 00:41:43.719
fifty seven eighty three. Have you
ever wanted to make a difference but didn't

615
00:41:43.719 --> 00:41:46.000
know where to start, Well,
it's easier than you think. Volunteering is

616
00:41:46.039 --> 00:41:50.480
more important than ever you get.
Sixty six percent of people think they can't

617
00:41:50.480 --> 00:41:52.920
make an impact at points of light. We believe that you can make a

618
00:41:52.960 --> 00:41:58.159
difference every day. That's why we
do our part to help you do yours,

619
00:41:58.320 --> 00:42:04.800
and volunteering is just the start.
Making a difference is so much more.

620
00:42:05.280 --> 00:42:14.119
Welcome back to Inside Analysis. Here's
your host, Eric Kabanaugh. All

621
00:42:14.199 --> 00:42:17.320
right, folks, back here on
Inside Analysis with the legendary Bob Muglia,

622
00:42:17.440 --> 00:42:21.599
former CEO of Snowflake. He's on
a lot of boards. He's been doing

623
00:42:21.639 --> 00:42:23.639
a lot of cool stuff for a
long time. Now. Here's a very

624
00:42:23.639 --> 00:42:27.599
cool fossil in his office there in
his home office that I've seen before.

625
00:42:27.599 --> 00:42:30.519
Crocodile. Yeah, oh cool.
They've been around a long time. That

626
00:42:30.559 --> 00:42:35.320
guy still here, that guy's like
a one hundred and seventy million years old.

627
00:42:35.440 --> 00:42:37.199
I as always say, I wish, I hope I could look that

628
00:42:37.239 --> 00:42:39.159
good at that age, right exactly, Well, you were finishing a point,

629
00:42:39.159 --> 00:42:42.480
and then we want to talk about
this social contract. Go ahead,

630
00:42:42.679 --> 00:42:45.000
yeah, and it's really related to
the social contract. You know. What

631
00:42:45.039 --> 00:42:49.800
I was talking about was as these
as these artificial intelligence, as it continues

632
00:42:49.840 --> 00:42:52.880
to get smarter, how should we
think about it? And here again,

633
00:42:52.960 --> 00:42:55.760
Asthmov gave us guidance, you're not
just for the short term and how to

634
00:42:55.800 --> 00:42:59.960
how to work with the agents that
we have today and we're becoming the next

635
00:43:00.079 --> 00:43:02.599
few years, but in the long
run, as we begin to have artificial

636
00:43:02.639 --> 00:43:07.800
general intelligence that is as smart as
we are, or even becomes much much

637
00:43:07.840 --> 00:43:10.480
smarter than we are over time.
And that was as he recognized. In

638
00:43:10.559 --> 00:43:14.599
his latter part of his career,
he wrote some robot novels. His final

639
00:43:14.679 --> 00:43:20.760
robot novels, he talked about robots
who had essentially achieved a GI status and

640
00:43:20.840 --> 00:43:25.239
recognize that the three laws were insufficient, and so they created the robots themselves

641
00:43:25.280 --> 00:43:30.480
created a fourth law. Um.
They called it the Zeroth law um as

642
00:43:30.599 --> 00:43:37.599
m'fcut the Zeroth law, which is
that a robot must not harm humanity or

643
00:43:37.679 --> 00:43:42.440
allow humanity to come to harm,
putting it at a higher level, recognizing

644
00:43:42.519 --> 00:43:45.480
that that that they you know that
it's not just about an individual person and

645
00:43:45.480 --> 00:43:51.599
an individual encounter with somebody, but
it's really how does this device interact with

646
00:43:51.960 --> 00:43:55.000
society as a whole. And certainly
when we think now today, while I

647
00:43:55.000 --> 00:44:00.119
don't believe as M've ever thought about
superintelligence the same way he did do today,

648
00:44:00.760 --> 00:44:06.960
his robots had positronic brains in it
that couldn't be replicated the way our

649
00:44:07.039 --> 00:44:09.440
digital brains can be. They can
be copied in a second, and then

650
00:44:09.760 --> 00:44:15.280
they can share information mation instantly as
well. Um that leads that has some

651
00:44:15.360 --> 00:44:22.039
interesting potential. Yet he did give
us guidance about how we need to create

652
00:44:22.360 --> 00:44:27.719
really a contract, a social contract
as people working with these devices that we're

653
00:44:27.760 --> 00:44:30.960
creating, recognizing that that you know, we will want to coexist with them

654
00:44:30.960 --> 00:44:35.000
over a long period of time.
We do need to respect them and they

655
00:44:35.039 --> 00:44:38.760
need to respect us, and we
need to find ways where we can benefit

656
00:44:38.800 --> 00:44:43.960
over time and leverage these tools that
we've created to benefit society. And I

657
00:44:44.000 --> 00:44:49.199
think the potential is amazing because we've
got the reduction of the cost of intelligence

658
00:44:50.199 --> 00:44:54.199
together with knowledge. If we can, if we can can continue to do

659
00:44:54.280 --> 00:44:59.960
things that make humanity more and more
productive, it just allows society to flourish

660
00:45:00.199 --> 00:45:02.800
in ways that it's never for us
before. Yeah, and you brought up

661
00:45:02.840 --> 00:45:07.880
a couple interesting points throughout the show
about the ways that AI will help,

662
00:45:07.960 --> 00:45:12.360
and I think again, in the
spirit of knowing how to use the tool

663
00:45:12.559 --> 00:45:15.719
effectively. You can use a tractor
effectively, or can use a tractor ineffectively.

664
00:45:16.000 --> 00:45:19.360
It's the same thing here. And
what we want to be able to

665
00:45:19.360 --> 00:45:25.360
do is help people understand how these
algorithms can solve for very mundane but serious

666
00:45:25.400 --> 00:45:30.320
problems like checking the books, for
example, auditing your books. I think

667
00:45:30.320 --> 00:45:34.760
before too long you're going to have
the option to just click a button say

668
00:45:34.800 --> 00:45:37.840
automate and QuickBooks will go through up. Here's what we think your tax return

669
00:45:37.920 --> 00:45:42.119
should look like, and you say
yes or no and just let it go.

670
00:45:42.719 --> 00:45:45.880
That's coming pretty soon, I think, because if you think about there

671
00:45:45.880 --> 00:45:50.599
are registries now of all the different
kinds of businesses in the country. This

672
00:45:50.760 --> 00:45:52.679
is a restaurant, that's a bank, this is a nightclub, this is

673
00:45:53.199 --> 00:45:59.719
an office tower, for example,
that can be pretty easily aligned to forms

674
00:45:59.760 --> 00:46:02.159
on your schedule, see for example, around your tax forms. I'm kind

675
00:46:02.159 --> 00:46:05.599
of surprised that hasn't happen enough yet, but I think it's because it is

676
00:46:05.639 --> 00:46:09.199
such a serious task. But think
about how that just drives people crazy every

677
00:46:09.280 --> 00:46:13.920
year to do their taxes. The
irs, the irs IT systems are the

678
00:46:13.920 --> 00:46:20.960
worst on the plat unfortunately, Well
there is that, there is government and

679
00:46:21.039 --> 00:46:23.719
so but back to government, right. So I've been a big advocate for

680
00:46:23.800 --> 00:46:30.800
transparency and governance, and I lobbied
for transparency and federal spending eighteen years ago,

681
00:46:30.400 --> 00:46:34.800
and amazingly it happened, like good
things happen, and they pass this

682
00:46:34.880 --> 00:46:37.480
act, the Transparency Act twenty thousand
and five. But now I think we

683
00:46:37.519 --> 00:46:43.119
need transparency of process and of systems
so we can see the whole thing and

684
00:46:43.119 --> 00:46:45.000
then you can see where the money
goes. Because when people can see,

685
00:46:45.360 --> 00:46:49.239
there is trust. If you can't
see, if you have a black box,

686
00:46:49.840 --> 00:46:52.760
there's not so much trust. What
do you think? I totally agree.

687
00:46:52.800 --> 00:46:53.679
I mean, I'm a huge fan
of transparency. First of all.

688
00:46:53.679 --> 00:46:59.519
In creating transparency and as we create
these artificial intelligence agents that are working with

689
00:46:59.599 --> 00:47:01.599
us. Is one of the reason
why open source is such an important component

690
00:47:01.599 --> 00:47:06.239
in associated with that, but very
much in the solutions that get created as

691
00:47:06.280 --> 00:47:08.280
well. Um. I'm a big
believer, for example, that one of

692
00:47:08.320 --> 00:47:13.480
the biggest things that can happen to
reduce the cost of medical bills in this

693
00:47:13.559 --> 00:47:17.519
country is total transparency of pricing.
The only thing in our lives where which

694
00:47:17.639 --> 00:47:21.840
is a consumer we purchase where we
have no transparency in prices. Right,

695
00:47:22.320 --> 00:47:23.239
you buy a house, you know
what that costs. You buy a car,

696
00:47:23.320 --> 00:47:25.519
you know what that costs. Anything
you go to the grocery store,

697
00:47:25.519 --> 00:47:29.079
but you have no idea when you
go into hospital what that's going to cost.

698
00:47:29.639 --> 00:47:32.800
And and uh and things like this
can really help because it's not clear

699
00:47:34.239 --> 00:47:37.599
that that that the outcomes match the
cost structures. In fact, sometimes they're

700
00:47:37.599 --> 00:47:43.400
inversely related to the COLT right.
So and again I think these agents can

701
00:47:43.440 --> 00:47:47.519
help to uh provide visibility to it. But it all comes down to people

702
00:47:47.519 --> 00:47:52.119
and what people want. Um,
I'm convinced there isn't transparency because they're in

703
00:47:52.159 --> 00:47:55.679
the healthcare system, because they're entities
that don't want transparency. And yeah,

704
00:47:57.079 --> 00:48:00.719
there are forces that don't want to
and see that the point to be made

705
00:48:00.719 --> 00:48:02.639
here it seems to me you've got
just about three minutes left here, is

706
00:48:02.679 --> 00:48:07.800
that the transparency will come. I
promise you you look at like the Pentagon

707
00:48:07.920 --> 00:48:12.000
papers for example, or these various
documents that get surfaced and get out there.

708
00:48:12.599 --> 00:48:15.239
Transparency will come at some point,
So will you be prepared for it?

709
00:48:15.239 --> 00:48:19.480
And I think that's a bit of
an impetus on the powers that be

710
00:48:19.679 --> 00:48:21.840
to get that ball rolling. What
do you think, well, I mean,

711
00:48:21.880 --> 00:48:24.519
I think in general we're in a
world where the Internet has been the

712
00:48:24.559 --> 00:48:30.880
biggest impact on transparency since the beginning
of mankind. I think the ability to

713
00:48:30.320 --> 00:48:34.920
people see anything. You can go
anywhere you want. You don't like what

714
00:48:34.960 --> 00:48:37.280
this site is saying, go to
another site, and I think AI will

715
00:48:37.320 --> 00:48:40.719
be like that as well. AI
will be another source that people can go

716
00:48:40.800 --> 00:48:44.440
to, another trusted source. We're
already, as I say, with these

717
00:48:44.760 --> 00:48:47.400
early answer bots that we're starting to
see, you know, being able to

718
00:48:47.400 --> 00:48:53.679
create trusted sources that people can go
to that are new and different and and

719
00:48:53.719 --> 00:48:59.039
I think that that's only going to
expand over time, and in general that

720
00:48:59.639 --> 00:49:04.119
AI can open up society in a
way that it's never that it's never been.

721
00:49:04.559 --> 00:49:07.719
But again, it's all going to
come back to people and I and

722
00:49:07.760 --> 00:49:10.400
as I say, this is a
tool. AI is a tool. And

723
00:49:10.400 --> 00:49:15.719
when we talk about AI doing this
or AI doing that, remember it's the

724
00:49:15.920 --> 00:49:20.320
it's a person behind that AI that's
getting it to do what it's doing.

725
00:49:20.800 --> 00:49:23.239
They're not off doing something on their
own. That may happen in ten years,

726
00:49:23.239 --> 00:49:28.079
but that's not happening now. What's
happening now is people are using them

727
00:49:28.119 --> 00:49:30.480
for everything, and as I say, they'll use them for good, bad,

728
00:49:30.519 --> 00:49:34.679
and evil. And it's up to
society to build the right level of

729
00:49:34.719 --> 00:49:38.239
governance, this idea of a social
contract that I think starts now but will

730
00:49:38.280 --> 00:49:43.559
continue to become progressively more important as
AI takes a bigger and bigger role in

731
00:49:43.559 --> 00:49:45.199
our lives. Yeah, that's right. And folks, the book we're talking

732
00:49:45.239 --> 00:49:50.440
about is called The Data Preneurs,
The Promise of AI and the Creators Building

733
00:49:50.440 --> 00:49:53.400
Our Future by Bob Muglia and Steve
Hamps. Look that up on Amazon.

734
00:49:53.480 --> 00:49:57.800
We'll be sending out an email probably
next week with a link to all that.

735
00:49:58.159 --> 00:50:00.559
And a last thought to close,
I mentioned that term black box.

736
00:50:00.639 --> 00:50:06.039
You know. I asked chat GBT
which database it used and it demured it

737
00:50:06.119 --> 00:50:07.599
said, well, I'm not allowed
to tell you that, and that's not

738
00:50:07.719 --> 00:50:13.719
transparency, right. I mean,
I think that part of the legislation of

739
00:50:13.800 --> 00:50:15.840
the contract that we're going to get
here out of this and something will happen,

740
00:50:16.199 --> 00:50:22.320
really should be an emphasis on transparency. Elon Musk of course made part

741
00:50:22.360 --> 00:50:27.159
of the Twitter algorithm public. He
open source that he's talked about going for

742
00:50:27.239 --> 00:50:31.639
total transparency. I think that is
of crucial importance because the feed. And

743
00:50:32.280 --> 00:50:35.880
I'd love to talk to you some
other time about this other topic of the

744
00:50:35.960 --> 00:50:39.840
media and getting trust in media,
and getting accuracy in media reports and being

745
00:50:39.880 --> 00:50:43.840
able to kind of gauge things.
We have all these fact checkers these days,

746
00:50:44.280 --> 00:50:47.119
But the feed used to come from
ABC and CBS and NBC. In

747
00:50:47.159 --> 00:50:50.840
the New York Times, it was
very static. It was either on your

748
00:50:50.840 --> 00:50:53.280
TV or in your newspaper. Then, of course we had the bloggers.

749
00:50:53.320 --> 00:50:57.880
The Internet came along, and then
social media came in and sort of co

750
00:50:58.039 --> 00:51:01.000
opted that feed. But they can
troll the feed, so whether it's Facebook

751
00:51:01.079 --> 00:51:06.480
or Instagram or YouTube or whatever,
they're in control that fee for their purposes,

752
00:51:06.480 --> 00:51:09.159
which of course is to make money
or gain influence in some fashion.

753
00:51:09.239 --> 00:51:13.559
I think transparency is going to be
the answer to save us from a lot

754
00:51:13.599 --> 00:51:15.039
of that stuff. What do you
think? I'm a big fan. I

755
00:51:15.079 --> 00:51:22.360
agree with that having multiple choices for
people is really important. I've personally believe

756
00:51:22.519 --> 00:51:27.079
that if all you're watching is one
news channel or getting reading one newspaper,

757
00:51:27.280 --> 00:51:30.760
you're only seeing part of the picture. Is regardless of which one it is

758
00:51:30.760 --> 00:51:32.760
you're only seeing, you're only seeing
half or less of the picture, and

759
00:51:32.800 --> 00:51:37.519
you need to get news and information
from a wide variety of different sources.

760
00:51:37.960 --> 00:51:42.679
Fortunately, that's relatively easy to do
today that there are a wide variety of

761
00:51:42.760 --> 00:51:45.800
sources on the Internet, but people
still have to take it upon themselves to

762
00:51:45.840 --> 00:51:49.800
do it. Now. AI may
make that easier over time, may help

763
00:51:49.880 --> 00:51:53.119
us to get a breadth of different
perspectives. I could spend an hour talking

764
00:51:53.159 --> 00:52:00.559
about about what truth is and this
idea of pursuing truth because there are multiple

765
00:52:00.599 --> 00:52:05.360
truths in There are very few things
that are well. Some scientific things are

766
00:52:05.400 --> 00:52:09.440
generally regarded as true, but most
things in our society there is disagreement about

767
00:52:09.880 --> 00:52:14.639
and that has to get surfaced,
and that also must be surfaced to these

768
00:52:14.679 --> 00:52:20.559
AI bots so that they have that
information as they're forming their summaries in their

769
00:52:20.599 --> 00:52:23.840
opinions. I'm totally believe that the
more information that's out there and the more

770
00:52:23.880 --> 00:52:28.760
transparent we can make this, the
more of these bots that created, the

771
00:52:28.800 --> 00:52:30.199
better we are all off. I
don't think it should be held in the

772
00:52:30.280 --> 00:52:34.480
hands of a few people. I
think it needs to be available to society

773
00:52:34.519 --> 00:52:37.440
as a whole. That's right,
the marketplace of ideas. Look at all

774
00:52:37.480 --> 00:52:39.320
those ideas out there. Let the
cream rise to the top, folks,

775
00:52:39.320 --> 00:52:43.920
look this book up online. Bob
Maglia, the datapreneurs, the promise of

776
00:52:43.920 --> 00:52:46.400
AI, and the creators building our
future. You have been listening to Inside

777
00:52:46.400 --> 00:53:00.159
Analysis Express one six point five FM. Number one radio station KCAA, the

778
00:53:00.199 --> 00:53:06.119
station that leaves no listener behind.
Express one oh six point five FM.

779
00:53:09.760 --> 00:53:14.840
This segment sponsored by the generous support
of the Dream Team. Looking for the

780
00:53:14.920 --> 00:53:19.360
keys to something bigger and better,
downsizing or relocating to the perfect spot.

781
00:53:19.440 --> 00:53:24.519
Oscar Ramirez from Century twenty one Lowislower
real Estate and Matt Flores from Secure Choice

782
00:53:24.599 --> 00:53:30.400
Lending are here to help you sell
or buy with their trusted and experienced knowledge

783
00:53:30.440 --> 00:53:34.840
and advice. People are calling Oscar
and Matt at nine five one seventy five,

784
00:53:34.960 --> 00:53:37.719
one three two four nine. That's
nine five seven, five, one

785
00:53:37.880 --> 00:53:43.760
thirty two forty nine. Real estate
and loan advisors Oscar and Matt can give

786
00:53:43.800 --> 00:53:46.880
you a no cost consultation. You
don't have to buy anything. Matt and

787
00:53:46.920 --> 00:53:52.119
Oscar can help you figure your way
through the complicated real estate market. Email

788
00:53:52.159 --> 00:53:58.639
Oscar at loislower dot com or on
Instagram at Oscar Ramirez Garcia and Matt Flores

789
00:53:59.000 --> 00:54:04.280
at Secure Choice Lending dot com.
Don't let today's real estate pitfalls stop you

790
00:54:04.400 --> 00:54:08.559
from dreaming. Make your new home
dreams come true. Dri number zero two

791
00:54:08.719 --> 00:54:16.800
zero seven zero three four four sea
espanol T, Heebot Club's original pure Poudi

792
00:54:16.920 --> 00:54:22.199
Arco SUPERTA helps build red coorepuscles in
the blood, which carry oxygen to our

793
00:54:22.360 --> 00:54:25.960
organs and cells. Our organs and
cells need oxygen to regenerate themselves. The

794
00:54:27.000 --> 00:54:30.559
immune system needs oxygen to develop,
and cancer dyes and oxygen. So the

795
00:54:30.639 --> 00:54:35.280
T is great for healthy people because
it helps build the immune system, and

796
00:54:35.320 --> 00:54:38.679
it can truly be miraculous for someone
fighting a potentially life threatening disease due to

797
00:54:38.800 --> 00:54:44.360
an infection, diabetes, or cancer. The T is also organic and naturally

798
00:54:44.400 --> 00:54:47.119
caffeine free a one pound package.
If T is forty nine ninety five which

799
00:54:47.119 --> 00:54:52.639
includes shipping. To order, please
visit tebot club dot com. Tahibo is

800
00:54:52.679 --> 00:54:57.199
spelled T like tom, A H, E, B like boy oh.

801
00:54:57.239 --> 00:55:00.320
Then continue with the word T and
then the word club. The complete website

802
00:55:00.360 --> 00:55:05.280
is to eubot club dot com or
call us at eight one eight six one

803
00:55:05.360 --> 00:55:09.079
zero eight zero eight eight Monday through
Saturday, nine am to five pm California

804
00:55:09.159 --> 00:55:14.199
time. That's eight one eight six
one zero eight zero eight eight to ebot

805
00:55:14.360 --> 00:55:20.840
club dot com with sixty years of
fascinating facts. This is the man from

806
00:55:20.960 --> 00:55:25.559
yesterday and back in time. We
go to this time in nineteen seventy two,

807
00:55:25.880 --> 00:55:31.760
Cynthia Lennon claims that John Lennon hasn't
exercised his visitation rights. They have

808
00:55:31.840 --> 00:55:37.519
a nine year old son named Julian, and according to Cynthia, John Lennon

809
00:55:37.559 --> 00:55:42.440
hasn't seen his son Julian in about
eight months. This is John, Let's

810
00:55:42.440 --> 00:55:54.199
go to get you down. You
rob the head, your children together and

811
00:55:54.320 --> 00:55:59.159
from this time. In two thousand, Dennis Miller is chosen as one of

812
00:55:59.280 --> 00:56:05.320
two new commentators to work alongside Al
Michaels on ABC TV's Monday night football.

813
00:56:05.679 --> 00:56:09.440
Not only has Lindell never kicked on
a Sunday, he has never kicked a

814
00:56:09.599 --> 00:56:15.639
football in his life. Never.
And about this time in nineteen fifty seven,

815
00:56:16.079 --> 00:56:21.039
Robert Young says, part of the
success of his Father Knows Best it's

816
00:56:21.119 --> 00:56:32.039
that the public likes a dad who
isn't of afoon and with Jane White with

817
00:56:32.119 --> 00:56:40.360
Eleanor Donna Here, Billy Gray and
Lauren Chapman in Waterlow's Best with Moore at

818
00:56:40.400 --> 00:56:50.039
Man from yesterday dot Com. Honey, y'all, merl here good news for

819
00:56:50.119 --> 00:56:52.000
once, my neighbors is jealous of
me. You want to know why,

820
00:56:52.320 --> 00:56:57.440
because my grass is growing and looking
green, and I can seal my sofa

821
00:56:57.480 --> 00:57:00.880
out in front hood and I don't
even have to over water it anymore.

822
00:57:00.280 --> 00:57:04.679
You know how I did it.
I listened to damn water boys on the

823
00:57:04.800 --> 00:57:08.199
waters on every Thursday night on case
Cia. Well, I got me a

824
00:57:08.280 --> 00:57:14.320
smart controller and now at waters at
night and myrt looks darn tooting no more

825
00:57:14.360 --> 00:57:16.760
sneaking around and hooking up my horse
to my neighbor's piggott in the middle of

826
00:57:16.760 --> 00:57:20.960
the night, and his dog won't
bite me anymore. And you can do

827
00:57:21.000 --> 00:57:27.199
it too, listening is easier than
enter KCAA is now screaming online. It's

828
00:57:27.280 --> 00:57:32.039
streaming what it's streaming? You know
it? Well, I don't know much

829
00:57:32.039 --> 00:57:37.880
about streaming, but they're doing it
apparently at KCA radio dot com. So

830
00:57:37.079 --> 00:57:40.920
anywhere. Listen to the water zone
and fix your yard up right right here

831
00:57:40.960 --> 00:57:47.039
at CACAA, the station that leaves
no listener behind. It's that time of

832
00:57:47.119 --> 00:57:52.719
year again. No not to holidays. Medicare open enrollment and if you have

833
00:57:52.880 --> 00:57:57.800
questions about Medicare, you should talk
to the local experts. Paul Baritchen Associate.

834
00:57:57.960 --> 00:58:00.599
Paul and his agents are certified with
plans that are accepted by most of

835
00:58:00.599 --> 00:58:06.079
the medical groups in our area.
Call nine O nine seven nine three three

836
00:58:06.199 --> 00:58:09.320
eight five. Their services are free
and after forty one years in the business,

837
00:58:09.360 --> 00:58:16.039
their agents are drained to help you
pick the plan that's right for you.

838
00:58:16.039 --> 00:58:20.280
You've eaten lots of great food and
lots of great food at restaurants.

839
00:58:20.480 --> 00:58:24.400
Cowboy Burgers in Fontana and now on
Arlington and Riverside will fast become one of

840
00:58:24.440 --> 00:58:30.480
your favorites with their delicious, mouth
watering burgers and breakfast burritos. Cowboy Burgers

841
00:58:30.480 --> 00:58:36.239
in Barbecue also serves fantastic smoke barbecue, baby back ribs, try Tit Chicken,

842
00:58:36.360 --> 00:58:38.679
could Park sandwiches, as well as
lunch and dinner plates. Everything is

843
00:58:38.719 --> 00:58:44.079
made from scratch, including their delicious
side dishes like cole slap, potato salad,

844
00:58:44.079 --> 00:58:46.719
barbecue beans, and much much more. Check out their rich, decadent

845
00:58:46.800 --> 00:58:51.559
chocolate brownies. Hi I'm food critic
Gallenborgan, and you can dine in,

846
00:58:51.719 --> 00:58:54.559
take food out, or have them
cater your next special event. I highly

847
00:58:54.599 --> 00:59:00.400
recommend Cowboy Burgers and Barbecue at their
new location at five five seven three Arlington

848
00:59:00.480 --> 00:59:05.719
Avenue in Riverside. Just look them
up on the Internet. That's Cowboy Burgers

849
00:59:05.719 --> 00:59:10.079
and Barbecue, Happy eating and perfect
for the holidays. Cowboy Burgers and Barbecue

850
00:59:10.360 --> 00:59:16.039
is also available for catering. That's
Cowboy Burgers and Barbecue in Fontana and now

851
00:59:16.039 --> 00:59:22.159
in Riverside on Arlington. Learn to
make money five ways with rental real estate,

852
00:59:22.440 --> 00:59:27.760
double your money with apartments, and
get your map to financial freedom.

853
00:59:27.760 --> 00:59:32.000
And that map starts with a free
workshop. Sign up now at lifestyles unlimited

854
00:59:32.079 --> 00:59:37.800
dot com, click on a joint
free workshop tab and at tand online or

855
00:59:37.840 --> 00:59:44.800
in person. That's Lifestyles Onlimited dot
com lifestyles onlimited dot com Again, that's

856
00:59:44.840 --> 00:59:52.960
lifestyles unlimited dot com Limited seating on
limited potential. You're on board cacaa's in

857
00:59:52.079 --> 01:00:07.599
Linton Express Caca Boland ten fifty am
prostitution that each knows you're behind. NBC

858
01:00:07.760 --> 01:00:08.320
News Radio. I'm Chris Garraggio.