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Speaker 3: The information economy has a rod. The world is teeming
Speaker 3: with innovation as new business models reinvent every industry industry.
Speaker 3: Inside Analysis is your source of information and insight about
Speaker 3: how to make the most of this exciting new era.
Speaker 3: Learn more at Inside Analysis dot cosideanalysis dot com. And
Speaker 3: now here's your host, through Eric.
Speaker 4: Kavanaugh, and keep all right, ladies and gentlemen, Hello and
Speaker 4: welcome back once again to the only nationally syndicated show
Speaker 4: all about the information economy. It's called Inside Analysis. Your
Speaker 4: host Eric Kavanaugh here very excited to kick off twenty
Speaker 4: twenty five with world renowned influencer analysts that all around
Speaker 4: cool guy Jim Harris. Look him up on Jim Haarris
Speaker 4: dot com. Just like it sounds we're at cees all
Speaker 4: week and we're talking to lots of really cool companies
Speaker 4: like Weepower and my Trust and a whole bunch of
Speaker 4: other folks are to get to handle on what's going
Speaker 4: on out there in the world of consumer technology, and Jim,
Speaker 4: there is no shortage of cool stuff to talk about,
Speaker 4: but there are some caveats, of course. This era of
Speaker 4: open data and sharing data, it's great stuff. We can
Speaker 4: learn a lot about each other what's going on, but
Speaker 4: some things maybe we want to keep private. And there's
Speaker 4: a story in the news today about a car company
Speaker 4: that had a breach and all kinds of data got out,
Speaker 4: and lots of people are very unhappy about that. Connected
Speaker 4: cars world, if you can tap into someone's information system,
Speaker 4: you can find a way to get their information, and
Speaker 4: that is a big problem for many companies. So privacy
Speaker 4: is still an issue. Security is always going to be
Speaker 4: an issue. Anytime you're connected to the Internet, you're connected
Speaker 4: to all the good guys and all the bad guys.
Speaker 4: The IoT world, as they call it, Internet of Things.
Speaker 4: Of course, there's also the IIoT, the industrial Internet of Things.
Speaker 4: We'll talk about that at some point, I'm sure. But
Speaker 4: Jim first of all great stuff is happening, but some caveats.
Speaker 4: What are your thoughts going into CEES twenty twenty five.
Speaker 5: Well, it is such an exciting show. There'll probably be
Speaker 5: one hundred and fifty thousand people there, Eric, There're going
Speaker 5: to be thousands of companies exhibiting great keynotes, all sorts
Speaker 5: of panel discussions. I'm shairing a panel on AI and
Speaker 5: predictive AI. So it is just an incredible conference. It's
Speaker 5: every year in January in Las Vegas, and it's the
Speaker 5: most influential tech show in the world. So we're going
Speaker 5: to see a lot of exciting things, a lot of
Speaker 5: really interesting discussions. And last year the number one trending
Speaker 5: topic was AI and it is AI again on Twitter
Speaker 5: in advance now called X. But this year there's a
Speaker 5: slight twist to it. The number one trending topic for
Speaker 5: CEOs in advance of the conference is agentic AI. Sure,
Speaker 5: so we'll talk about that in the show. So a
Speaker 5: little teaser agentic AI.
Speaker 4: Yeah, And just to explain to our audience what Jim
Speaker 4: is talking about. Our AI agents and these are little
Speaker 4: semi autonomous applications that can do all kinds of different things.
Speaker 4: It's not just traditional automation where you will tell a
Speaker 4: computer do this set of processes whenever this happens. That's
Speaker 4: standard automation. It's been around for decades, quite frankly. But
Speaker 4: AI agents are very very interesting little buggers because they
Speaker 4: can reconcile, they can make different decisions based on dynamic
Speaker 4: and fluid situations. Now, what I've heard, I'd be curious
Speaker 4: to know what you've heard, is that by and large,
Speaker 4: AI agents are designed to do one thing very well,
Speaker 4: whether that's grab data, analyze data, delivered data, process data,
Speaker 4: run some algorithm, figure something out. But some people are
Speaker 4: suggesting AI agents could be more versatile. And the most
Speaker 4: compelling story I've heard out of companies like Variant. For example,
Speaker 4: we were talking about a buddy, Tom Augenhaler. He works
Speaker 4: with Variant. Their CEO told me that they like to
Speaker 4: have these agents that are very purpose built and specific.
Speaker 4: But there are other companies now, and one of them
Speaker 4: I think of is Mistral, which is one of the
Speaker 4: new large language models. They have this mixture of experts
Speaker 4: process where they have an orchestrator that kind of sits
Speaker 4: on top of the agents. So just like a manager
Speaker 4: with a bunch of direct reports. That's how these multi
Speaker 4: layered AI agent architectures work, and that is pretty cool stuff.
Speaker 4: So the little orchestrator sits there and goes, okay, Bob,
Speaker 4: you do this, Sue, you now do that, Fred, you
Speaker 4: do this, And that's their job is to orchestrate, which
Speaker 4: is basically what Kubernetes does from Google for a system's
Speaker 4: use case, which is fascinating stuff. I mean, kubernetesays absolutely amazing.
Speaker 4: But I think this orchestration layer is going to be
Speaker 4: really important for AI agents. What do you think?
Speaker 5: Absolutely? And we often think about AI as a single entity,
Speaker 5: but here you're talking about AI as a team, a
Speaker 5: team of skilled agents AI agents. And so let's take
Speaker 5: for instance, accounts, receivable, accounts bayable. Every year in a
Speaker 5: large company, there are thousands upon thousands of conflicts that exists,
Speaker 5: like we invoiced you for this ten thousand dollars and
Speaker 5: you only paid US nine thousand, nine hundred and fifty dollars,
Speaker 5: and there's a difference in this. Well, you know, historically
Speaker 5: a person had to get involved in all this. Well,
Speaker 5: imagine agent to agent, account payable to account receivable, discuss
Speaker 5: it and say, well we actually when we received the shipment,
Speaker 5: there was one broken piece which was worth fifty dollars.
Speaker 5: So these agents go back into their ERPs, their respective systems,
Speaker 5: and say, oh, the shipping manifest at the shipping dock
Speaker 5: shows one broken thing which was worth fifty dollars. That's
Speaker 5: why we're paying you fifty dollars less. And it goes oh, yeah, okay,
Speaker 5: I'll take I'll accept that, and boom that ARAP dispute
Speaker 5: is closed with no human getting involved, and two humans
Speaker 5: on either side of this transaction to get involved will
Speaker 5: probably cost three hundred dollars of person time. So we've
Speaker 5: actually solved a fifty dollars dispute with two agents AI
Speaker 5: agents at basically next to nothing in cost. So how
Speaker 5: can we take eighty percent of the disputes in ARP
Speaker 5: and solve them?
Speaker 4: Yeah? That is an excellent use case for lots of
Speaker 4: different reasons. One, it's a task that these AI agents
Speaker 4: can do very well. It's a fairly simple thing. It's
Speaker 4: fairly easy to understand. There's a discrepancy between this number
Speaker 4: and that number. Where did it come from? And of
Speaker 4: course these agents and the new IT world in general
Speaker 4: operates on what are called declare itative programs, or declarative
Speaker 4: functionality where instead of the old way of doing computing
Speaker 4: with imperative programming, where you tell the computer line by
Speaker 4: line what to do, with declarative you set you declare
Speaker 4: an objective that you want accomplished, and you let the
Speaker 4: system figure it out on its own. It's really fascinating stuff.
Speaker 4: Kubernetes is declarative. A lot of these new models are declarative,
Speaker 4: and so it's a good way to just get what
Speaker 4: you want done without having to micromanage the computer. That's
Speaker 4: really what it falls down to is it's not micromanaging
Speaker 4: the computer. So this is great stuff because the agency
Speaker 4: go back and forth that oh, okay, no, we got it,
Speaker 4: and then they'll they'll give some report on that, and
Speaker 4: then a human will go once a day or once
Speaker 4: an hour and look at all the different things that
Speaker 4: have been resolved and just make sure that they're correct,
Speaker 4: and then throw in some curation, throw in some commentary.
Speaker 4: And of course they're not always going to be right,
Speaker 4: but people aren't always right either. So all we really
Speaker 4: want for these things to do is get to where
Speaker 4: they're good enough or better at the people at doing
Speaker 4: things and much more efficient and Besides, what a dreadful
Speaker 4: job for a human to do. I mean, who wants
Speaker 4: to do that all day? Nobody does.
Speaker 5: I remember that my accountants, for instance, feel they need
Speaker 5: to balance to the penny right, And you know you're
Speaker 5: paying your accountant to three hundred bucks an hour to
Speaker 5: find three pennies that's not balanced, and it drive me crazy.
Speaker 5: So how can we just say, Okay, well we're pretty close.
Speaker 5: I guess the principle is underneath it. Well, maybe there's
Speaker 5: two transactions that are skewed, that are three cents offen
Speaker 5: are really highlighting a problem. But I think what we're
Speaker 5: to your point, we're going to end up automating things
Speaker 5: that are dull, dirty and dangerous. So anything that's a
Speaker 5: really repetitive task will get automated by agentic AI. And
Speaker 5: people worry about job loss, But there are two million
Speaker 5: job openings right now in the US healthcare system, two
Speaker 5: million job openings, and it's estimated there's about three hundred
Speaker 5: billion dollars of waste and inefficiency in the US healthcare system.
Speaker 5: So agentic AI could really help improve the efficiency of
Speaker 5: the healthcare system and address this two million gap of
Speaker 5: people that we can't find to fill us healthcare jobs.
Speaker 4: Yeah, and we're going to go through a very tumultuous
Speaker 4: and disruptive period of time. But for those who have
Speaker 4: their sea legs under them, it should be a bit
Speaker 4: of a fun and challenging time. I think the key
Speaker 4: piece of advice I give to anyone in the working
Speaker 4: world who wants to keep going out there and doing
Speaker 4: cool things. Start using these technologies, use GENAI. Understand it's
Speaker 4: not perfect, but learn the ins and outs of these systems.
Speaker 4: And Jenny, of course, is just one facet of AI,
Speaker 4: and it's very interesting. It does cool stuff. There are
Speaker 4: many other facets of AI. Traditional or as I call it,
Speaker 4: old fashioned AI is still out there doing cool things
Speaker 4: where you build models to do predictions. As a company
Speaker 4: I interviewed not recently called Safebooks AI, which is doing
Speaker 4: really interesting stuff in the accounting space you're talking about,
Speaker 4: and they can help companies avoid major problems like at
Speaker 4: Macy's where this big chunk of money was not reported
Speaker 4: as an expense, causing their accountants lots of trouble and
Speaker 4: causing a lot of trouble across the company. That kind
Speaker 4: of thing will be found by AI, and I think
Speaker 4: we should also spin into the whole world of manufacturing
Speaker 4: and how automation and even AI is coming into play there.
Speaker 4: And you brought up the stat that I saw Alvin
Speaker 4: fuh mentioned the other day, which is that China is
Speaker 4: now dominating the automotive industry, not just the EV space,
Speaker 4: which they are. They're number one electric via goals. They
Speaker 4: are crushing it in terms of being able to export cars.
Speaker 4: They're number one in the world. The US stinks compared
Speaker 4: to them these days. It's almost unbelievable, but you have
Speaker 4: to look at the charts to see right.
Speaker 5: So for forty four years, Japan was the number one
Speaker 5: exporter of cars in the world, and then China began
Speaker 5: focusing on production capacity in evs, and in twenty twenty
Speaker 5: three it became the largest exporter of cars globally, just
Speaker 5: blowing past everyone else Japan, Mexico, Germany, South Korea, and
Speaker 5: the US. And part of it is the focus on
Speaker 5: electric vehicles called evs. Seventy six percent of all EV's
Speaker 5: in the world are produced in China. It has just
Speaker 5: doubled down on this. And so while Europe and the
Speaker 5: US I don't know about ev is, China is all
Speaker 5: in on it and This is in part leading to
Speaker 5: their domination globally. And what we're seeing is a discussion
Speaker 5: of tariffs in response. Tariffs are one of the items
Speaker 5: that Trump has been talking about pretty prevalently, putting one
Speaker 5: hundred percent tariffs on imported Chinese cars. And so wherever
Speaker 5: there's a domestic auto industry, you're seeing governments talk about tariffs.
Speaker 5: But for instance, in Australia, there's no domestic auto industries,
Speaker 5: so what is the benefit for them? They get inexpensive
Speaker 5: cars like cars, right, So there's no protectionism in any
Speaker 5: country that doesn't have its own auto industry. So China
Speaker 5: is going to end up dominating global trade with every
Speaker 5: country that doesn't have a domestic auto industry. Right until finally,
Speaker 5: and then you're seeing news like Onto announcing it's going
Speaker 5: to merge with Nissan and Mitsubishi.
Speaker 1: So I saw that that's.
Speaker 5: Three Japanese car companies who are being crushed by the
Speaker 5: growth of Chinese evs. There have been japan Japanese car
Speaker 5: company is very slow to shift to EV's, so they're
Speaker 5: getting crushed and their solution.
Speaker 4: To merge, right, and these days, speaking of technology and
Speaker 4: data and analytics and ERPs and things, of this nature.
Speaker 4: It is a lot easier thanks to AI and machine
Speaker 4: learning and automation to pull off mergers and acquisitions, and
Speaker 4: that therefore, I predict we will see more of these
Speaker 4: coming down the pike because it's much easier now to
Speaker 4: get an analysis, a real brass tax look at what
Speaker 4: our assets are are, how do they align with the
Speaker 4: assets of this company or that company, and you can
Speaker 4: get a real clear view because hitherto you were just
Speaker 4: kind of guessing. I mean you're guessing on the personnel side,
Speaker 4: on the manufacturing side, and all kinds of things, and
Speaker 4: hoping it's going to work out, and it could take
Speaker 4: years to really make that acquisition or that merger.
Speaker 2: Jeil.
Speaker 4: That's not going to be the case in the future,
Speaker 4: as I see many organizations are going to do what
Speaker 4: you just commented on. They're going to merge to stay alive.
Speaker 4: Like I said, we're going to go through a very
Speaker 4: tumultuous period here, But for the agile I think it's
Speaker 4: going to be a win win. What do you think
Speaker 4: I'd agree?
Speaker 5: I think I made a prediction that we're going to
Speaker 5: see half of the traditional car companies, legacy automakers of
Speaker 5: gas cars disappear over the next ten years, they're going
Speaker 5: to either go bankrupt, they're going to merge. As in
Speaker 5: the case of Honda, Nissan and Mitsubishi. There you have
Speaker 5: three car companies combining into one. You've lost two car companies.
Speaker 5: So we're going to see a shrinking of the legacy
Speaker 5: auto industry. And this next stat is shocking to me, Eric,
Speaker 5: but Tesla right now today is worth more than the
Speaker 5: rest of the auto industry added together.
Speaker 4: I mean, it's amazing.
Speaker 5: That blows me away. If you don't think electrification is
Speaker 5: going to change the ten trillion a year transportation and
Speaker 5: logistics market. That stats for you half the value of
Speaker 5: the industry.
Speaker 4: Yeah, that's amazing. And it goes back to innovation and
Speaker 4: to doing things in new ways.
Speaker 5: You know.
Speaker 4: I attended the Reuters Next conference. I guess it was
Speaker 4: two novembers ago. I spoke last November and two Novembers
Speaker 4: of I tended and a girl from Routers was interviewing
Speaker 4: the Alex P. Morgan I think his name is. He's
Speaker 4: the CEO of JP Morgan or one of these companies.
Speaker 4: I think that was Gorman was his name. Very very
Speaker 4: smart guy, and she's hounding him, basically trying to get
Speaker 4: him to admit that they made a bad bet on
Speaker 4: Twitter because they threw some money in to help him
Speaker 4: buy Twitter, and he just he shook his head for
Speaker 4: a couple of seconds and then he said, we're not stupid.
Speaker 4: I couldn't believe it. I was like, Wow, what an answer.
Speaker 4: He goes, anyone who doubts Elon Musk should go visit
Speaker 4: a Tesla factory and then you'll understand because these folks
Speaker 4: thought through the entire end to end process and they
Speaker 4: re envisioned everything and that's why they're able to achieve
Speaker 4: these amazing numbers. And that's what innovation takes. It takes
Speaker 4: unlearning your biases and then relearning something new, and that
Speaker 4: I think is going to be a hallmark of success
Speaker 4: in twenty twenty five. Final thoughts from you, Well, I love.
Speaker 5: That that Tesla is vertically integrated. In other words, it
Speaker 5: makes the engines, it makes the chassis, it makes the batteries,
Speaker 5: it makes the wheels, it makes the seats, and there
Speaker 5: forward to your point, it can control the production process
Speaker 5: from end to end and drive efficiencies out of it.
Speaker 5: Legacy Auto, No, they have thousands of suppliers and so
Speaker 5: to actually change is very hard since there isn't that
Speaker 5: vertical integration. So I agree with you absolutely. We're going
Speaker 5: to see big changes in the auto industry, in basically
Speaker 5: every industry with AI and automation.
Speaker 4: Yeah, and retail, we'll see a lot of cool retail stuff. Healthcare,
Speaker 4: of course, financial services. The pinch is everywhere. Folks will
Speaker 4: send me Neil if you want to be on this
Speaker 4: show Inside Analysis dot com. That comes right to me.
Speaker 4: We'll be right back. You're listening to Inside Analysis.
Speaker 3: Welcome back to Inside Analysis. Here's your host, Eric Tabanaugh.
Speaker 4: All right, folks, back here on Inside Analysis, and I'm
Speaker 4: so excited today is part of our cees preview to
Speaker 4: get a newbie, a guy who is not new to media,
Speaker 4: he's not new to technology. He's not new to sports
Speaker 4: and fitness or interviews or tech or understanding what's going
Speaker 4: on in the real world out there. None other than
Speaker 4: John Meyer of the podcast bearing his name, and we're
Speaker 4: pretty excited. He's a fellow Pennsylvanian and John here in
Speaker 4: Pittsburgh they call folks yinzers or like Yin's, Hey, Yin's
Speaker 4: the guys, And I was like, yins what on earth
Speaker 4: is yeans. What are they talking about. I have a
Speaker 4: theory on that which I throw at Pennsylvanians and they
Speaker 4: like it because if you're from Pennsylvania, you're a pennsylvani yin, right,
Speaker 4: So multiple Pennsylvanians yins. It's at the end of the word.
Speaker 4: That's my theory. I don't know if it's true or not,
Speaker 4: but hey, you're on the other side of the state.
Speaker 4: I don't hold that against you. Eagles fan. Tough team Stullers.
Speaker 4: You know we're usually a tough team at a bad
Speaker 4: few games lately. But tell me a bit about your
Speaker 4: passion for sports and fitness and where that dovetails with technology,
Speaker 4: like where and all that kind of fun stuff.
Speaker 6: Eric, thank you for inviting me on to the show.
Speaker 6: As you mentioned. John Meyer from Meyer Media also to
Speaker 6: John Meyer Podcast. I've got a theory now that you
Speaker 6: mentioned for your yins. It could be going along with
Speaker 6: yingling beer and brewery, just saying I'm sure you're familiar
Speaker 6: with it.
Speaker 4: Someone else said that too, so yins ying's yin's yangs ye.
Speaker 4: I could see after a few yings agains, you know,
Speaker 4: it starts to slur a little bit.
Speaker 6: That's Okay, after a few yinglings, it will slur just
Speaker 6: a little bit. So, Eric, my huge passion is around
Speaker 6: media content and creating. As you mentioned, I am a
Speaker 6: nube to ces, the first one we've been accepted as
Speaker 6: media joining at totally overwhelming right now. I mean, I've
Speaker 6: been to Vegas so many times, but coming to this event,
Speaker 6: I just realized this is the like the Super Bowl
Speaker 6: event of technology for consumers. You mentioned fitness and everything. Obviously,
Speaker 6: huge Eagles fan, die hard, don't hold it against you.
Speaker 6: On the other side of state, I'm actually hoping for
Speaker 6: maybe a PA would be really cool to watch.
Speaker 4: Wouldn't that be great?
Speaker 6: That would be the first time in history. And yeah,
Speaker 6: obviously I'm rooting for that, you know, and I'll root
Speaker 6: for the Eagles to win, but you know, hey, we'll
Speaker 6: have a good time and they're going down Broad Street.
Speaker 6: We'll definitely see some of the Steelers fans.
Speaker 7: Uh.
Speaker 6: Talking about fitness, been in fitness all my life, started
Speaker 6: out at a very young age, and I just it's
Speaker 6: a natural thing to do. Some of the technology that's
Speaker 6: out there to track it. I saw some of the
Speaker 6: things that are going to be happening. I sees the wearables,
Speaker 6: not only the headsets, but the gear, the recovery stuff,
Speaker 6: the massade, everything around them. Just looking at how to
Speaker 6: improve my game but also recover from injuries or from
Speaker 6: workouts much faster.
Speaker 4: Yeah, that's good stuff. And you know, I talk with
Speaker 4: someone else just today about the wearables. And here's what
Speaker 4: excites me about that stuff is the data that you
Speaker 4: can capture for individual health, for population health, to understand
Speaker 4: how is the workout affecting you, what is good for you,
Speaker 4: to eat, what's not good for you. I mean, I
Speaker 4: think hitherto most healthcare has been boiled down to very
Speaker 4: generic basics. I mean they take your vitals, your heart rate,
Speaker 4: your temperature, stuff like that. Okay, that's useful. But when
Speaker 4: you can start absorbing massive amounts of data about how
Speaker 4: your body acts, when you sleep, when you run, when
Speaker 4: you walk, when you're sitting, all these different things, I
Speaker 4: think we're at the beginning of a fascinating age in
Speaker 4: which we can get a much better understanding of ourselves,
Speaker 4: how we sleep, and how to improve our lives every day,
Speaker 4: how to improve our health. What do they say, if
Speaker 4: you don't have your health, you don't have anything, right,
Speaker 4: So I think that in sports, of course you have
Speaker 4: to be very fit, and so in that world, it's
Speaker 4: a whole other level of intensity and practice and work,
Speaker 4: and you want to know what's working with it's not working.
Speaker 4: I think we're at the beginning of a golden age
Speaker 4: because of that.
Speaker 6: What do you think, Eric, you actually just touched on
Speaker 6: a bunch of things, because that actually crosses over into
Speaker 6: healthcare if you think about it. You talked about, you know,
Speaker 6: going into a doctor and they just take care of
Speaker 6: simple vitals your heart rate to your blood pressure. But
Speaker 6: how would you love to walk in there with all
Speaker 6: the data and say, hey, listen, here's what I got
Speaker 6: from my fitness here's what I got from allmine, and they're.
Speaker 4: Like, wow, I wish we had this.
Speaker 6: Now you can present him problems are easily solved. You
Speaker 6: can avoid injury, you can avoid long term illness. There's
Speaker 6: so many things that you can understand as a person
Speaker 6: to do much better. So you actually avoid the doctor.
Speaker 4: Right, that's right. An apple a day keeps the doctor away. Baby.
Speaker 4: I'm all for that. And you know I remember, I'm
Speaker 4: origually from Chicago. Saw I was a huge Michael Jordan
Speaker 4: fan and the guy who's just a machine I mean,
Speaker 4: honest to goodness, he's just easily taught players of all time.
Speaker 4: And he would stretch before every game. I think it
Speaker 4: was like an hour or so. He would take the
Speaker 4: time to stretch. And because of that and maybe because
Speaker 4: of his physique, he was rarely injured. You didn't see
Speaker 4: that guy get injured very often at all because he
Speaker 4: took care of himself. And see, I think again, with wearables,
Speaker 4: you're going to have you need software too to analyze
Speaker 4: the data understand what it all means. Because telemetry data,
Speaker 4: when you look at it, the raw data, it's like
Speaker 4: ones and zeros and very incomprehensible stuff. But in a
Speaker 4: certain application you can kind of start to understand how
Speaker 4: that's interesting and compare yourself to other people, the people
Speaker 4: your size, your weight, your height, whatever. The more we
Speaker 4: can understand how our body is responding to the world
Speaker 4: and to what we eat, the foods we eat, how
Speaker 4: much we drink, what we drink, I think it's going
Speaker 4: to really change and give a lot more awareness and
Speaker 4: power to individual people to live better lives.
Speaker 6: What do you think, Eric, the wearables? I saw one
Speaker 6: on Therefore, you're wearing a pair of pants, right, and
Speaker 6: it had all the RFID and all the telemetry, all
Speaker 6: the data being pulled from. It's almost like the stuff,
Speaker 6: like the copper stuff you wear, but here you put
Speaker 6: it on and you can actually start to read your
Speaker 6: body and the metrics as are happening on your body,
Speaker 6: your muscles, where they're tightening, where they're not working, where
Speaker 6: you're performing, where you're not. You're at the gym and
Speaker 6: you do something, you're actually doing an exercise, and if
Speaker 6: you do it incorrectly, you're going to get hurt at
Speaker 6: some point, not all the time, right away. This can
Speaker 6: tell you how well you're doing immediately while you're doing it.
Speaker 6: You can read all this data efficiently right on your
Speaker 6: phone while you're at the gym, be like, oh man,
Speaker 6: I need to stop running now. Normally you like run
Speaker 6: and you do thirty minutes of cardio while this is
Speaker 6: already reading immediately what's happening to you, and be like, hey, listen,
Speaker 6: you need to you know, shut it down and go
Speaker 6: into a soft mode so that you don't injure yourself.
Speaker 4: Right, No, that's right. Feedback I mean everyone loves a
Speaker 4: feedback loop, whether that's from your colleagues or friends or
Speaker 4: your boss. Say Hey, good job, or Okay, maybe better
Speaker 4: next time. Whatever it is, it helps to have feedback.
Speaker 4: And now we have digital feedback about what's really happening
Speaker 4: in our lives. You know, I came up with this
Speaker 4: concept a few years ago about big data, and I
Speaker 4: talk about something I call real world data at scale,
Speaker 4: and that's where we are these days. You can capture
Speaker 4: the data, you can analyze the data, process the data.
Speaker 4: I think population helps. You know, in San Antonio they
Speaker 4: have one of the highest heart attack rates, Well, why
Speaker 4: is that? It's probably because of all the food and
Speaker 4: tied fide fat for example. You don't really know that,
Speaker 4: but I think, like I say, until now, we've kind
Speaker 4: of been guessing for a lot of stuff, and now
Speaker 4: we're going to be able to test and validate and
Speaker 4: understand from the data itself how this affects us, How
Speaker 4: this makes me feel better? What doesn't look when I'm
Speaker 4: feeling down? Why is that We're going to have a
Speaker 4: lot more information? And to me, that's just supercharging this life.
Speaker 5: Eric.
Speaker 6: When you talk about feedback, think about the feedback that
Speaker 6: you receive from colleagues, right, constructive criticism. It's very tough
Speaker 6: for a lot of people to take and to receive.
Speaker 6: But if you have a device telling you one hundred
Speaker 6: percent honest, this is what's going on, and this is
Speaker 6: what's happening, you're more at to believe it and just
Speaker 6: to it rather than somebody telling you you might take
Speaker 6: a while to you adjust or until you experience the injury.
Speaker 6: I'm like, I should have listened to them. Here you
Speaker 6: listen immediately.
Speaker 4: That's funny. Well, another one of my fun lines is
Speaker 4: machines don't lie, right. I mean, machines are just saying
Speaker 4: what's on the information that they're giving. They're just giving
Speaker 4: it back to you. And even simple things like your
Speaker 4: steps or your screen time or whatever it is. It's like,
Speaker 4: if you take a minute to look at that, you'll
Speaker 4: realize how how your behavior is day to day, and
Speaker 4: then you can start to improve things. And people want
Speaker 4: to improve. Like let's say you want to lose some weight.
Speaker 4: While you can weigh yourself every day and that helps,
Speaker 4: but it's just once a day, right, or maybe twice
Speaker 4: a day or something. But to have this constant feed
Speaker 4: giving you information and give you insights and giving you
Speaker 4: a nudge perhaps, I mean you're starting to see some
Speaker 4: of that in the tech world too, Like, Hey, starting
Speaker 4: to get laid, maybe you should go to BED. I mean, personally,
Speaker 4: I don't like the school marm apps on my phone,
Speaker 4: but I do understand it's good to get feedback and
Speaker 4: to understand what's happening.
Speaker 6: Right Yep, I'm definitely looking forward to not only the sports,
Speaker 6: the fitness, the wearables, just the information the things that
Speaker 6: I can do to not improve my personal fitness in life.
Speaker 6: But see what's out there.
Speaker 4: M m well in ces, I mean it's I've only
Speaker 4: been to one last year, and it's just massive. I
Speaker 4: mean it's so big that they don't just fill up
Speaker 4: the exhibit halls, they fill up the Venetian Lots of
Speaker 4: companies will rent hotel rooms, four demos and things of
Speaker 4: that nature. So it's just like five convention centers strung together.
Speaker 4: You're talking like one hundred and fifty thousand people gathering.
Speaker 4: And there's a lot to learn. I mean, I try
Speaker 4: to keep an open mind every day and learn about
Speaker 4: new technologies. And we are in an era where because
Speaker 4: of AI, to a certain extent, we're able to do
Speaker 4: things that we were not able to do before. We're
Speaker 4: able to optimize things right. We can crunch the numbers
Speaker 4: and understand you know, again, like with media, what what
Speaker 4: if people want to watch? What do they not want
Speaker 4: to watch? Now, I will say I have some pet
Speaker 4: peeves with software as a service and some of the
Speaker 4: data we get from these engines. In fact, we're gonna
Speaker 4: do a show next year called Lies, Damn Lies and
Speaker 4: SaaS statistics as it's all about, like, all right, is
Speaker 4: this real? What are you talking about? You throw some
Speaker 4: money at YouTube or LinkedIn or Google, like, oh well,
Speaker 4: look at all these impressions you got, And I like,
Speaker 4: who are these people? Are you sure you have new subscribers?
Speaker 8: Do I really?
Speaker 5: Yeah?
Speaker 6: Yeah? Are they real? Let's just put it that way,
Speaker 6: or they're a new one. But then they just they're
Speaker 6: not there anymore. It's a dummy account.
Speaker 4: You have to wonder. I mean, I'll just give you
Speaker 4: a stat The other day I saw because I threw
Speaker 4: some money at some of these YouTube videos and there
Speaker 4: were two hundred and sixty one views, and they look
Speaker 4: at the demographics and every last one of them was
Speaker 4: a male over the age of sixty five. Now, when
Speaker 4: you have like eleven strata of years, like you know,
Speaker 4: eleven to fifteen, I can't remember what they were, and
Speaker 4: then the last one is sixty five plus and I
Speaker 4: got two hundred and sixty one viewers. You're gonna tell
Speaker 4: me every last one of these viewers when I go
Speaker 4: viral and old folks home somewhere, what the hell's go
Speaker 4: on here? I don't think that's real. So I do
Speaker 4: think there is a you know, a bit of a
Speaker 4: hedge on the excitement around the data because we need transparency.
Speaker 4: That's that's one of my mantras is, you know, the
Speaker 4: more transparency we get, the better, because if we can
Speaker 4: all see what's really happening, then we can all improve it.
Speaker 4: What do you think about that?
Speaker 6: I agree, And you got two hundred and sixty one views,
Speaker 6: but you probably got two hundred and eleven likes, and
Speaker 6: they're like, okay, is that really possible that these people
Speaker 6: all likes my video? Because I'll tell you what, when
Speaker 6: I go and watch a video, I try to do that,
Speaker 6: but I don't do that all the time.
Speaker 4: So right, Yeah, When I saw one the other day
Speaker 4: where it's it gave a keynote and at first it
Speaker 4: was like twenty thirty four and then over like two
Speaker 4: weeks it was ten thousand, ten thousand views and zero
Speaker 4: likes and no comment. Obviously it wasn't zero. There was
Speaker 4: zero comments and just like twelve likes or something. I'm like, hmm,
Speaker 4: to ten thousand people really watch this and no one
Speaker 4: commented it was pretty forward looking stuff. I basically said
Speaker 4: that before too long, AI is going to take over
Speaker 4: the judicial system, at least for civil cases. I think
Speaker 4: you're going to be able to just upload your case
Speaker 4: into a folder, the defense uploads their case into the folder,
Speaker 4: You do an interview on camera to an AI engine
Speaker 4: a chatbot, and then it goes all right, thing guilty,
Speaker 4: paying five thousand dollars next, and like no one commented
Speaker 4: on that, like.
Speaker 8: Wow, wow.
Speaker 6: I can see a lot of comments on that. It
Speaker 6: will definitely clear a backlog, but I think it will
Speaker 6: also create some friction.
Speaker 4: My theory is that people will have a harder time
Speaker 4: lying to a cold computer camera than to a person.
Speaker 4: That's my theory. I think it's going to be hard.
Speaker 4: I don't know why I think that, but something tells
Speaker 4: me it's like oh, because the other side of AI
Speaker 4: is that these models are getting so good they can
Speaker 4: tell like your behavior, like is the acting shifty? I mean,
Speaker 4: there are little tells you can learn just from experience.
Speaker 4: Like you know, when you ask our question, someone looks
Speaker 4: down and blinks as they talk, Well, you know, they
Speaker 4: probably did something wrong or they're probably not being straight
Speaker 4: with you, and these algorithms are going to pick that
Speaker 4: stuff up. I mean, that's I guess the last question
Speaker 4: I'll throw at you is you as we face this world,
Speaker 4: this AI overthrow, as I call it, because it's going
Speaker 4: to be everywhere. It's already everywhere. It's going to be
Speaker 4: in every major cloud based application that you use. There's
Speaker 4: going to be some aspect, whether under the covers or
Speaker 4: right there on the surface. What are your thoughts about
Speaker 4: this changing dynamic and how we as humans can remain
Speaker 4: in charge.
Speaker 6: I think one of the things about remaining in charge
Speaker 6: for AI is validating it and always having a governance
Speaker 6: around it. Not AI governing AI, because that's like the
Speaker 6: government governing the government. It just doesn't work anything. Because
Speaker 6: I think for us with AI, let's test a little
Speaker 6: bit on the audio and video stuff that are happening
Speaker 6: in that CS and AI is a huge part of that. Now,
Speaker 6: a lot of the videos that are created today, some
Speaker 6: of the stuff is spoofed from video from AI. Generating
Speaker 6: on it. How do you tell the difference. I think
Speaker 6: there needs to be a governance around it in order
Speaker 6: a tag or something within the video, even if it's remade, recaptured,
Speaker 6: you know, whatever screenshot. There needs to be a way
Speaker 6: to tag that that is AI generated in order for
Speaker 6: us to understand what deep fake is and what is
Speaker 6: happening out there. But I also believe there's so many
Speaker 6: positives for AI and around video and audio because it
Speaker 6: has helped us in our business nowadays be more efficient
Speaker 6: not only creating the video, but fine tuning, editing and
Speaker 6: cleaning up some of the stuff. So, circling back to
Speaker 6: your question, I just think there needs to be a
Speaker 6: way that we got to put something in place to
Speaker 6: monitor what we're creating from AI and to validate it,
Speaker 6: whether it is using a third party AI, to validate
Speaker 6: that that is happening because not a human. It's suffer
Speaker 6: a human to understand that that's AI generated in some cases, right.
Speaker 4: I think you're right, and I'm sure some smart people
Speaker 4: are working on this right now. My theory is that
Speaker 4: you can do a number of different things. One, you
Speaker 4: can use the metadata that is baked into cameras, for example,
Speaker 4: when you take a picture with all these new iPhones
Speaker 4: and Samsungs, there's metadata layer that captures where you were
Speaker 4: at the time, what time you took this thing. All
Speaker 4: this information is captured in the video, so to be
Speaker 4: able to capture that and say, ah, this is a
Speaker 4: clean video. This has not been edited, this has not
Speaker 4: been doctored. I think that's the key in probably QR
Speaker 4: codes too, like a watermark of some kind of QR code.
Speaker 4: But I think you're right, we do need to have
Speaker 4: some governance around this because otherwise evidence, even in courts,
Speaker 4: is going to be out the window. But folks, look
Speaker 4: this gentleman up online, John Meyer. That's m ye er
Speaker 4: the John Meyer Podcast. Look forward to seeing you at CES.
Speaker 4: We'll be right back. You're listening to Inside Analysis.
Speaker 3: Respect now, welcome back to Inside Analysis. Here's your host,
Speaker 3: Eric Tavanavo.
Speaker 4: All right, folks, welcome back to Inside Analysis. In our
Speaker 4: CEES preview for twenty twenty five, I've had, folks. I'm
Speaker 4: super excited to have a fellow Yinzer, a fellow Pennsylvanian
Speaker 4: on the call here today, Doctor Frank Vigiano. What's new, doc,
Speaker 4: that's his brand, that's what he talks about He has
Speaker 4: been a judge at CEES for a very long time now.
Speaker 4: It has been focused on the healthcare industry for years
Speaker 4: and years, and as a regular TV and radio personality.
Speaker 4: So I got to ask you, Frank, what's new? Doc?
Speaker 8: So much? You know with CS I mean I've been
Speaker 8: going for it'll be my believe it or not, my
Speaker 8: fifty seventh year attending cs So they started in New
Speaker 8: York City. I'll send you a clip. What's interesting is
Speaker 8: that CBS in Las Vegas did a special when I
Speaker 8: arrived there seven years ago. I had my badge said
Speaker 8: fifty years and had a special ribbon, and I saw
Speaker 8: this is great. So we started, you know, networking with
Speaker 8: a bunch of different people talking about badges, and I
Speaker 8: learned that I was only one of two people that
Speaker 8: have attended every cs SIN since the origination in New
Speaker 8: York City. Yeah, yeah, pretty crazy.
Speaker 4: Well, and as you know here in Pennsylvania, the number
Speaker 4: fifty seven has a certain meaning, right, heinds fifty seven.
Speaker 4: So it's all coming full circle. Now, what do you
Speaker 4: see what excites you about CEES twenty twenty five.
Speaker 8: Well, there's so many new technologies. I think it's branched
Speaker 8: out into We talked a little earlier about healthcare, and
Speaker 8: that's a real big important category. People are finding, they're
Speaker 8: wearing rings, they're wearing watches, they're wearing they're wearables to
Speaker 8: give them insight into their body and what's happening. And
Speaker 8: there's more and more apps being created. So that's a
Speaker 8: big growth area for CES. And you still the standards,
Speaker 8: you know, you know, television appliances, I mean, it's all
Speaker 8: still there, but these other new categories. For example, in
Speaker 8: the automotive section, a lot of these manufacturers are exhibiting
Speaker 8: now at CES where they, you know, had never done
Speaker 8: so before, and the reason being is that they had Detroit.
Speaker 8: So when the pandemic came, everything stopped and nobody went
Speaker 8: to the Detroit show because they canceled it. They had to,
Speaker 8: they had no choice. So because of that and kind
Speaker 8: of the combination of CEES growing and inviting more automobile
Speaker 8: manufacturers to exhibit there, they had a whole area in
Speaker 8: the North Hole where the majority of it was all automobiles,
Speaker 8: different things to light, radar, sensors, all different technology, and
Speaker 8: the vehicles themselves.
Speaker 4: You know, you know what really excites me because I'm
Speaker 4: a data guy. I focus on data, artificial intelligence, big data, leveraging,
Speaker 4: data telemetry. We have all this data these days, and
Speaker 4: we now have the compute capacity and the algorithms to
Speaker 4: analyze data at scale and really understand what's going on.
Speaker 4: So when I think about population health ory, even individual healthcare, yeah,
Speaker 4: a few years ago we had a few things. They
Speaker 4: take your vitals, they can do blood draws, they can
Speaker 4: look at you through different lenses. But still for those
Speaker 4: who have paid attention, it's a relatively opaque window. I
Speaker 4: mean it's hard. I mean it's translucent a little bit,
Speaker 4: but you really have to know what you're doing to
Speaker 4: figure out what these scores mean on blood tests and
Speaker 4: things of this nature. But now, if you have one
Speaker 4: of these wearables and it's keeping track of your pulse,
Speaker 4: of your blood pressure, of your steps, of just everything
Speaker 4: about you, what you're doing, I have to believe that
Speaker 4: in the near future, if not already, we're going to
Speaker 4: have tremendously improved capabilities to understand what is my health,
Speaker 4: what are my problems, what are the Because once you
Speaker 4: understand leading indicators, you can start watching for things like diabetes,
Speaker 4: for example, or respiratory problems or whatever. And I think
Speaker 4: we're going to enter in age and as long as
Speaker 4: we can hack through hippo regulations and security and compliance
Speaker 4: and all the concerns about those things, I think we're
Speaker 4: going to enter an appbsolutely golden era of personal health
Speaker 4: care and population health.
Speaker 8: What do you think, Well, I agree with you totally, absolutely,
Speaker 8: and it's meaning welcome to I think initially, for example,
Speaker 8: when light arc came out and some of the technologies
Speaker 8: for automobiles, the biggest concern from consumers was, oh, it's
Speaker 8: recording me while I'm driving. This is recorded, and many
Speaker 8: things do not record. The only thing they do is
Speaker 8: they process the data. For example, if I'm driving and
Speaker 8: I'm sleepy and i start to drowse a little bit,
Speaker 8: senses that I'm not awake from, and I'm not driving
Speaker 8: the vehicle or at least be paying attention to the
Speaker 8: vehicle as it's moving. So therefore that's going to create
Speaker 8: all kinds of issues. It's going to slow the car down.
Speaker 8: They could even bring it to a stop until I,
Speaker 8: you know, wake up and say, oh, no, I'm here,
Speaker 8: I've got the steering in my hand. That type of thing.
Speaker 8: So I think, what's important is that the fear that
Speaker 8: people have of their private see and honestly, Eric, there
Speaker 8: is no more privacy.
Speaker 4: Yeah. Well, I hosted a stage at the Data Universe
Speaker 4: conference in New York back in April, and they have
Speaker 4: me host the privacy stage, and the first thing I
Speaker 4: said is privacy is dead, Like forget about it. I
Speaker 4: mean not that we shouldn't aspire towards respecting privacy. I
Speaker 4: think that's still a very worthwhile goal. Yes, big companies
Speaker 4: want to protect your sensitive data. But to think that
Speaker 4: your data is not everywhere is just a naive perspective,
Speaker 4: it seems to me, right.
Speaker 8: Oh, Relliant, I mean, if you have a cell phone, really,
Speaker 8: are you kidding me? They know where you are every
Speaker 8: minute of every second in regards to where you go.
Speaker 4: Right, that's right, And sharing data is valuable. I mean,
Speaker 4: especially in the healthcare space again with all these devices.
Speaker 4: Now you have to normalize the data. You have to
Speaker 4: attend to lapses in data. That's one of the issues
Speaker 4: with IoT, right, is that you do have lapses of
Speaker 4: telemetry to watch out for that and model for that.
Speaker 4: But nonetheless, I mean, I think at some significant scale,
Speaker 4: and I'm sure universities are working on this, and major
Speaker 4: manufacturers are looking into this. There is just an absolute
Speaker 4: treasure trove of information that we can now finally access
Speaker 4: and analyze to figure out absolutely what are the behavioral
Speaker 4: patterns that lead to better health? Right.
Speaker 8: Well, a good example too would be a device, let's
Speaker 8: say that would send a message to a physician and
Speaker 8: they're monitoring in a certain let's say, a certain part
Speaker 8: of the body for a certain reason, and here's an
Speaker 8: alert that comes over and so I'm my goodness, this
Speaker 8: is like, we got to take care of this immediately.
Speaker 8: When it saves someone's life and that information is shared
Speaker 8: with others, that's huge. So people don't worry any more
Speaker 8: about privacy because guess what, it's superseded what's needed to
Speaker 8: save a life. I mean, how could you be upset
Speaker 8: with that?
Speaker 4: Well, and you know, I'll make an analogy here to
Speaker 4: maintenance of machines like trains on automobiles and things of
Speaker 4: this nature. We've had predictive analytics in the industries where
Speaker 4: they could afford it thirty years ago, even prossibly forty
Speaker 4: years ago, like in aeronautics for example, with airplanes, and
Speaker 4: what they've learned is that if you capture all the data,
Speaker 4: the censor data, you could tell hey, if this part breaks,
Speaker 4: that part's going to break shortly thereafter. So you sense
Speaker 4: and wait for this part to reach a certain threshold.
Speaker 4: And I was fascinated to learn that sound is a
Speaker 4: big part of that whole game, because when they start squeaking,
Speaker 4: they make little sounds like a timing delt making a
Speaker 4: sound like, hm, we got a problem here, you have
Speaker 4: to address it. Well, if you think about how that
Speaker 4: changes the attitude of the person monitoring this information. Beforehand,
Speaker 4: the guy on the train would just have to go
Speaker 4: check every door, look at every wheel, and you're never
Speaker 4: ever going to find it, not never, but almost never
Speaker 4: going to find anything. But if you're acting on data
Speaker 4: from the system that's telling you a problem is coming,
Speaker 4: then you're attentive and you're focused and you know where
Speaker 4: to focus your attention. So to me, that is a
Speaker 4: massive sea change in operational efficiency and engagement with the user,
Speaker 4: with the human right. And as the old saying goes,
Speaker 4: what gets measured gets managed. So I think it really
Speaker 4: changes the game for how people can pay it, and
Speaker 4: they don't want to pay too much attention, don't want
Speaker 4: to get all worked up about it, but still to
Speaker 4: know that you have this problem and have some way
Speaker 4: of measuring it. That's going to be huge for improving
Speaker 4: healthcare overall. Right, no question, absolutely, Yeah, that's good stuff. Well,
Speaker 4: so what are you excited to see at the cees A.
Speaker 8: You're going to be a couple of things that are interesting. Now,
Speaker 8: LG has come up with some great technology. I mean
Speaker 8: they have for years, but they just launched about a
Speaker 8: week ago. They teased it at CEES twenty twenty four,
Speaker 8: but now they've launched it and it's the first see
Speaker 8: through old LED television. Oh wow, you see through it now?
Speaker 8: People say why or what is So the idea is
Speaker 8: that many I think you know that from interior design perspective.
Speaker 8: Many people say, I don't want that TV in my bedroom.
Speaker 8: I don't want it in the living room. I don't
Speaker 8: want to see it sitting now, I don't want it
Speaker 8: hanging on the wall whatever. And we understand, we get that.
Speaker 8: So what LG has done is they've taken an OLA
Speaker 8: television and you can see right through it. So you
Speaker 8: put it in the picture window of your home, let's say,
Speaker 8: in front of you of an ocean view, a mountain view,
Speaker 8: it's incredible. And then what happens. There is a black
Speaker 8: screen that rolls up when you want to see TV,
Speaker 8: and when you do that, it blocks a lighte from
Speaker 8: going through and therefore the image is just like it
Speaker 8: would be if you were watching a regular television. It's amazing.
Speaker 4: Probably, yeah, it's it's fun to watch all these innovations.
Speaker 4: In my goodness, you've seen many of them. You're fifty
Speaker 4: seventh CEES.
Speaker 9: Going to.
Speaker 8: When I was on, you know, seven years ago. Of
Speaker 8: course this was big because everybody's like CES fifty years.
Speaker 8: So they said, doctor Frank, what was the d the
Speaker 8: first CES? What was it all about? And I said
Speaker 8: color television. It was in New York City. Wow, And
Speaker 8: they showed color TV. That was such a breakthrough. I mean,
Speaker 8: you know, and I mean I remember all this was
Speaker 8: like my father, he's the one that really got me
Speaker 8: into electronics and technology. He was a physician, but he
Speaker 8: loved tech, loved it. He bought a Hoffman solar radio
Speaker 8: from Hoffman Electronics in California. I still have it. It
Speaker 8: was AM batteries in the back and I took it.
Speaker 8: I said, da, can I take it to the pool?
Speaker 8: He said, well, this is not cheap. And you know,
Speaker 8: if you take you better be careful. I said, okay,
Speaker 8: so mister magician. You know, I get it to the pool.
Speaker 8: All my friends are standing around, We're listening to the radio,
Speaker 8: and I pulled the battery out. Everybody's like, what you know,
Speaker 8: it's still playing and it's not plugged in. That was solar. Yeah,
Speaker 8: I was nineteen. Let me think what that would be
Speaker 8: about nineteen fifty seven.
Speaker 4: Nineteen fifty seven, Oh my goodness, and solar power you
Speaker 4: look at I mean, I just I wrote it on
Speaker 4: LinkedIn today about and we'll look for solutions at CES
Speaker 4: what just happened in Puerto Rico. Eighty percent of the
Speaker 4: power is down now in Puerto Rico. And you know,
Speaker 4: we've seen the horrible things happening over in Ukraine where
Speaker 4: the Russians target the energy infrastructure, and it just tells
Speaker 4: me we got to get off the grid, man. I mean,
Speaker 4: the grid is there, it's very powerful, it is serves
Speaker 4: society very very well. But nonetheless, I mean, I love
Speaker 4: the push for solar, I love the push for alternative
Speaker 4: energy forms, and you know, let's let's try to focus
Speaker 4: on that and really incentivize people to get off the
Speaker 4: grid and just be more more sustainable. I mean, that's
Speaker 4: what sustainability is all about, right, I mean, we totally
Speaker 4: numbers have to come together and make sense. But nonetheless
Speaker 4: CES is the place to find that stuff too, right well.
Speaker 8: Of course, And you know the problem is, you know
Speaker 8: what I never understood the iPhone, great phone, love the technologies,
Speaker 8: love the software, the people. I see them at airports everywhere,
Speaker 8: tethered to a wall to plug it into charge. And
Speaker 8: it's like, hey, this makes no sense. I mean, why
Speaker 8: can't we just replace a battery? And Kia Sarah, by
Speaker 8: the way, is the only company that I'm aware of
Speaker 8: currently they have a they are crowded, some models seventy
Speaker 8: two hundred, but it is the only phone that I
Speaker 8: know that you can replace the battery, so you take
Speaker 8: the pack off.
Speaker 4: I remember I remember being very annoyed about that with
Speaker 4: the with the iPhone, and you know, you have to
Speaker 4: ask yourself yes. And I just had a guy from
Speaker 4: Apple on the show moments ago who we were talking about,
Speaker 4: Steve Jobs and his commitment to design being a philosophy,
Speaker 4: because there's a great quote I read from him where
Speaker 4: he said, you know a lot of people view design
Speaker 4: as a sort of veneer that you put on at
Speaker 4: the end of the of the process of building something.
Speaker 4: With us, it's central, it's the beginning, it's everything. Design
Speaker 4: is form and function combined. And so I do respect
Speaker 4: that and I understand it. But nonetheless, the batteries man
Speaker 4: like to be able to get a new battery because
Speaker 4: these bones, when they get older, the battery life gets
Speaker 4: shorter and shorter and shorter and just gets more annoying,
Speaker 4: you know. And so let's let's move in that direction, right.
Speaker 10: Yeah.
Speaker 8: Well, the key is Sarah, which I like about it.
Speaker 8: You can, like I say, you can swap the battery.
Speaker 8: Here's the best part. Three hundred and fifty dollars. That's
Speaker 8: it only only available for Verazon, but when you have
Speaker 8: a few young people saw my phone and said wow
Speaker 8: because I dropped it, and I said, well, you can
Speaker 8: drop this in six feet of water, nothing happens. And
Speaker 8: the glass on the front, it's got gorilla glass, so
Speaker 8: you can't crack it, you can't scratch it. It's unbelievable.
Speaker 8: I mean, it's really yeah, and so and they said
Speaker 8: three hundred and fifty dollars. I just paid thirteen fifty
Speaker 8: for an iPhone. I said, well, but the market will bear.
Speaker 4: Yeah, that's that's a lot of money. And you know,
Speaker 4: the cool thing about cees is that it is a showcase.
Speaker 4: And one of the things I learned last year when
Speaker 4: I went to my first one. So I don't have
Speaker 4: nearly as many in my history.
Speaker 8: As you do.
Speaker 4: But one of the cool things I like. I think
Speaker 4: it was LG in fact, who were showing me around
Speaker 4: and all their cool little things. And what they do
Speaker 4: is they have prototypes that they bring to the conference,
Speaker 4: and then they'll have cameras watching who goes by which
Speaker 4: object and how long they stay there. So they're using
Speaker 4: data about how sticky these technologies are to determine which
Speaker 4: ones to push into production, because obviously it's a big
Speaker 4: risk pushing some prototype into production. You got to spend
Speaker 4: a whole bunch of money, a whole bunch of parts,
Speaker 4: hire people, all this stuff. So you want to know
Speaker 4: what the winners are and what the losers are or
Speaker 4: the ones that probably will win. I thought that was
Speaker 4: a brilliant strategy and it just shows a real comprehensive
Speaker 4: view of the problem space and the opportunities. Right.
Speaker 8: Well, that's exactly what they did. Last year with they
Speaker 8: called ol ed T for transparency, so they headed out.
Speaker 8: People were like just blown away. Oh my goodness, this
Speaker 8: is incredible technology. So they got feedback and here we
Speaker 8: are a year later and now you can buy it.
Speaker 2: Wow.
Speaker 4: I love that. Well, look this gentleman up online, folks,
Speaker 4: Doctor Frank Vigiano sounds like a good Italian name who
Speaker 4: is from down the road.
Speaker 5: Here.
Speaker 4: I'm up in Gibsonia, Pennsylvania. He's down the road in Indiana, Pennsylvania.
Speaker 4: But what's new, doc? That's his whole tagline. He's been
Speaker 4: doing this stuff for a long time. We look forward
Speaker 4: to seeing you at Cees in Las Vegas. Don't touch
Speaker 4: that del folks, will be right back. You're listening to
Speaker 4: Inside Analysis.
Speaker 9: You've eating lots of great food and lots of great
Speaker 9: food at restaurants. Cowboy Burgers in Fontana and now on
Speaker 9: Arlington at Riverside will fast become one of your favorites
Speaker 9: with their delicious, mouth watering burgers and breakfast burritos. Cowboy
Speaker 9: Burgers and Barbecue also serves fantastic smoke barbecue, baby back ribs,
Speaker 9: dry tip chicken, pulled pork sandwiches, as well as lunch
Speaker 9: and dinner plates. Everything is made from scratch, including their
Speaker 9: delicious side dishes like coal slap potato salad, barbecue beans,
Speaker 9: and much much more. Check out their rich decad it
Speaker 9: chocolate brownies.
Speaker 2: Hi.
Speaker 11: I'm food critic g Allenborgan, and you can dine in,
Speaker 11: take food out, or have them cater your next special event.
Speaker 11: I highly recommend Cowboy Burgers and Barbecue at their new
Speaker 11: location at five five seven three Arlington Avenue in the Riverside.
Speaker 8: Just look them up on the Internet.
Speaker 11: That's Cowboy Burgers and Barbecue, happy eating.
Speaker 9: And perfect for the holidays. Cowboy Burgers and Barbecue is
Speaker 9: also available for catering. That's Cowboys and Barbecue in Fontana
Speaker 9: and now in Riverside on Arlington.
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Speaker 1: To HEBLT Club's original pure powdy Rco super TA helps
Speaker 1: build red corpuscles in the blood, which carry oxygen too
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Speaker 1: for healthy people because it helps build the immune system,
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Speaker 13: Do you want to learn and get answers to questions
Speaker 13: not addressed in the mass media, then you want to
Speaker 13: hear my show business Game Changers with me, Sarah Westall.
Speaker 13: I have conversations with thought leaders who have the courage
Speaker 13: to address off limit topics, so you and your family
Speaker 13: have the tools to make the right decisions. Join me
Speaker 13: Wednesdays at four pm on ten fifty AM and one
Speaker 13: six point five FM right here at CACAA, that station
Speaker 13: that leaves no listener behind.
Speaker 14: Can antibiotic medicines, long hailed as miracle drugs, be too
Speaker 14: much of a good thing? Yes, Two factors are at
Speaker 14: work here. First, bacteria, one of the earliest forms of
Speaker 14: life on Earth, are miracles in their own right, with
Speaker 14: a stunning ability to outsmart the antibiotic drugs through rapid evolution.
Speaker 14: Second is the rather dull inclination of us, supposedly superior humans,
Speaker 14: to overuse and misuse antibiotic medicines. Every time we take
Speaker 14: an antibiotic to kill some bad bacteria that is infecting
Speaker 14: our bodies, a few of the infectious germs are naturally
Speaker 14: resistant to the drug, so they survive multiply and become
Speaker 14: a colony of superbugs that antibiotics can't touch. Multiply this
Speaker 14: colony by the jillions of doses prescribed for everything from
Speaker 14: deadly staff infections to the common cold, and we get
Speaker 14: the quote antibiotic paradox. The more we use them, the
Speaker 14: less effective they become, for they're creating a spreading epidemic
Speaker 14: of immune superbugs. A big cause of this is the
Speaker 14: push by drug companies to get patients and doctors to
Speaker 14: reach for antibiotics as a cure all For example, millions
Speaker 14: of doses a year are prescribed for children and adults
Speaker 14: who have common colds, flu, sore throats, et cetera. Nearly
Speaker 14: all of these infections are caused by viruses which cannot
Speaker 14: repeat cannot be cured with antibiotics. Taking an antibiotic for
Speaker 14: a cold is as useless as taking a heart drug
Speaker 14: for heartburn. The antibiotics will do nothing for your cold,
Speaker 14: but it will help establish drug resistance super buds. Bugs
Speaker 14: in your body. That's not a smart trade off. This
Speaker 14: is Jim Haitar saying, in fact, it's incomprehensibly stupid. Antibiotics
Speaker 14: are invaluable medicines we need for serious life threatening illnesses,
Speaker 14: but squandering them on sore throats has already brought us
Speaker 14: to the brink of superbugs that are resistant to everything.
Speaker 14: That's the nightmare of all nightmares.
Speaker 15: What is your plan for your beneficiaries to manage your
Speaker 15: final expenses when you pass away life insurance, annuities, bank accounts,
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Speaker 15: out in twenty four for forty eight hours out A
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Speaker 16: Six Dix Auto Wreckers in Kingman reminds all drivers when
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Speaker 10: What does it take to take on Alzheimer's? Awareness that
Speaker 10: nearly two thirds of those diagnosed their women, including black women,
Speaker 10: dedication to luring your risk by eating healthy and monitoring
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Speaker 10: about screening and early detection. You have what it takes
Speaker 10: to take on Alzheimer's. Learn about signs and screening at
Speaker 10: take on alz dot com. Brought to you by the
Speaker 10: California Department of Public Health.
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Speaker 7: NBC News Radio. I'm Lisa Carton. President Biden is receiving
Speaker 7: a briefing on the deadly California wildfires this afternoon. According
Speaker 7: to MSNBC, he may speak about the federal response from
Speaker 7: the White House soon. Biden and Vice President Harris have
Speaker 7: been monitoring developments Santa Ana. Wins are expected to intensify
Speaker 7: today as crews battle the deadly wildfires. At least sixteen
Speaker 7: people are dead and more than one hundred thousand residents
Speaker 7: are under evacuation orders in the Greater Los Angeles area.
Speaker 7: Fire officials are reporting some progress against the two biggest fires,
Speaker 7: which have blackened more than forty thousand acres and destroyed
Speaker 7: over twelve thousand structures. Governor Gavin Newsom is taking steps
Speaker 7: to help speed up the rebuilding process for both homes
Speaker 7: and businesses destroyed by the fires. He issued an executive
Speaker 7: order today suspending some provisions of the California Quality Act.
Speaker 4: When someone rebuilds that they have their old property tax
Speaker 4: assessments and that they're not increased.
Speaker 7: Lisa Carton NBC News Radio.
Speaker 2: NBC News on CACAA Lomolada, sponsored by Teamsters Local nineteen
Speaker 2: thirty two, protecting the future of working Families, Teamsters nineteen
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Speaker 10: Mm hmmmm, Welcome to the Fabulous Lifestyle radio Show.
Speaker 14: Tune in for a vibrant mix of fashion, fine