WEBVTT 1 00:00:00.120 --> 00:00:04.240 Welcome curious minds to another deep dive. Today, we're embarking 2 00:00:04.240 --> 00:00:08.640 on a journey into a topic that's rapidly reshaping our world, 3 00:00:08.919 --> 00:00:11.560 often without us even realizing it. That's right, we're talking 4 00:00:11.560 --> 00:00:15.000 about the incredible integration of cloud computing and the Internet 5 00:00:15.080 --> 00:00:18.480 of Things, creating what we call intelligence systems. 6 00:00:18.640 --> 00:00:21.399 It really is a fascinating convergence. We've pulled together some 7 00:00:21.480 --> 00:00:25.199 great sources for this one, including cutting edge research and 8 00:00:25.600 --> 00:00:29.079 some really insightful case studies from a book called Integration 9 00:00:29.160 --> 00:00:33.439 of Cloud Computing and IoT Trends, Case Studies and Applications. 10 00:00:33.759 --> 00:00:36.399 Yeah, some good stuff in there. Our mission for you 11 00:00:36.399 --> 00:00:39.640 today is to really unpack how these two powerful technologies 12 00:00:40.000 --> 00:00:41.600 are not just go existing but. 13 00:00:42.000 --> 00:00:47.399 Blending, exactly blending to deliver surprising insights automate complex processes. 14 00:00:47.880 --> 00:00:50.880 It impacts everything. Think about how your groceries are stocked, 15 00:00:50.960 --> 00:00:53.200 or even how doctors might monitor your health. 16 00:00:53.240 --> 00:00:55.320 So you're going to get a shortcut to understanding this 17 00:00:55.399 --> 00:01:00.840 transformative landscape, complete with some frankly eye opening examples. Okay, 18 00:01:00.960 --> 00:01:04.239 let's untack this. Let's do it first. Let's maybe set 19 00:01:04.280 --> 00:01:06.920 the stage with cloud computing. It might sound like a 20 00:01:06.920 --> 00:01:10.159 modern marvel, but Well, the idea of computing as a 21 00:01:10.239 --> 00:01:12.040 utility actually dates back quite a bit. 22 00:01:12.079 --> 00:01:14.159 It does, surprisingly far back yeah, to. 23 00:01:14.079 --> 00:01:16.280 A speech at MIT in nineteen sixty one by John 24 00:01:16.319 --> 00:01:19.000 McCarthy where he proposed computing should be offered as a 25 00:01:19.079 --> 00:01:21.519 utility comparable to consuming electricity. 26 00:01:22.200 --> 00:01:24.959 People were pretty cautious back. 27 00:01:24.760 --> 00:01:28.760 Then, apparently understandably so, but the idea it eventually became 28 00:01:28.760 --> 00:01:31.560 a reality. We saw it launch commercially with Salesforce dot 29 00:01:31.560 --> 00:01:34.920 Com in nineteen ninety nine, releasing a corporate program online. 30 00:01:34.959 --> 00:01:36.200 That was a big step. 31 00:01:36.120 --> 00:01:38.599 Right, software as a service basically exactly. 32 00:01:38.840 --> 00:01:42.200 Then came Amazon Web Services AWS in two thousand and two, 33 00:01:42.480 --> 00:01:46.120 offering processing and storage over the Internet. Their Elastic Computing 34 00:01:46.159 --> 00:01:49.439 Cloud or EC two became public in two thousand. 35 00:01:49.120 --> 00:01:51.799 And six, and that really kicked things off, didn't it 36 00:01:51.799 --> 00:01:52.159 It did. 37 00:01:52.359 --> 00:01:54.560 Google Play followed in two thousand and nine, and soon 38 00:01:54.599 --> 00:01:57.239 after you had all the major players jumping in, Microsoft 39 00:01:57.239 --> 00:02:01.959 with Azure, Alibaba, Oracle, IBMHP all offering their own cloud services. 40 00:02:02.040 --> 00:02:04.959 So what exactly is it at its core? Well, at 41 00:02:04.959 --> 00:02:08.360 its heart, cloud computing is really about accessing and using 42 00:02:08.400 --> 00:02:13.759 computing resources and services, servers, storage software over the Internet, 43 00:02:13.840 --> 00:02:15.879 rather than relying purely on your own. 44 00:02:15.719 --> 00:02:19.000 Local hardware, so it's like on demand services accessible from 45 00:02:19.039 --> 00:02:19.960 pretty much anywhere. 46 00:02:20.039 --> 00:02:22.840 That's right, and a couple of crucial components made this 47 00:02:22.919 --> 00:02:26.759 possible on a large scale virtualization for one ah yes, 48 00:02:26.879 --> 00:02:31.120 virtualization it emerged maybe forty years ago. It basically creates 49 00:02:31.120 --> 00:02:34.280 a layer on hardware that lets you run multiple instances 50 00:02:34.319 --> 00:02:39.680 like multiple virtual computers simultaneously. It's foundational for services like VMware, 51 00:02:39.800 --> 00:02:42.080 vCloud and Amazon EC two. 52 00:02:42.199 --> 00:02:44.840 Okay, makes sense, efficient use of hardware exactly. 53 00:02:45.199 --> 00:02:47.840 And then there's Web two point zero. This allowed for 54 00:02:47.919 --> 00:02:51.759 interactive and dynamic web pages, moving beyond static content. 55 00:02:51.639 --> 00:02:55.719 Right, powering things like Google Maps, Facebook, Twitter, Yeah, enabling 56 00:02:55.840 --> 00:02:58.159 real communication over the Internet precisely. 57 00:02:58.360 --> 00:03:01.000 Both were essential building blocks the cloud as we know it. 58 00:03:01.120 --> 00:03:05.800 What about the different types of clouds you hear about public, private, hybrid? 59 00:03:06.240 --> 00:03:07.000 How do they differ? 60 00:03:07.159 --> 00:03:09.840 Good question. We can sort of categorize them based on 61 00:03:09.840 --> 00:03:13.719 who uses and manages them. Okay, So public cloud anyone 62 00:03:13.759 --> 00:03:16.599 can store data and access services online, usually with the 63 00:03:16.639 --> 00:03:20.919 paper use model, think Amazon's EC two or Google app Engine. 64 00:03:21.240 --> 00:03:23.479 A third party organization manages. 65 00:03:23.199 --> 00:03:26.159 At all, got it, open access shared infrastructure. 66 00:03:26.240 --> 00:03:29.680 Then private cloud this is exclusively used by one business. 67 00:03:29.759 --> 00:03:33.319 It offers high privacy and protection through firewalls and often 68 00:03:33.360 --> 00:03:36.280 internal hosting. It can be managed internally or by a 69 00:03:36.319 --> 00:03:38.080 third party, but it's dedicated or. 70 00:03:37.960 --> 00:03:40.439 Control more security conscience perhaps definitely. 71 00:03:40.919 --> 00:03:44.280 Then you have hybrid cloud. This combines both private and 72 00:03:44.439 --> 00:03:48.759 public cloud services. So businesses might store crucial data privately 73 00:03:48.879 --> 00:03:52.240 but handle less critical tasks or burst capacity publicly for 74 00:03:52.319 --> 00:03:53.840 cost efficiency. 75 00:03:53.520 --> 00:03:54.479 The best of both worlds. 76 00:03:54.479 --> 00:03:58.080 Potentially, that's the idea. And finally, community cloud. This is 77 00:03:58.120 --> 00:04:02.080 a shared architecture, but for multiple organizations with common concerns, 78 00:04:02.120 --> 00:04:05.599 maybe like compliance or a specific mission. Think about say 79 00:04:05.759 --> 00:04:10.000 an Indian government agency sharing computational resources with others. They 80 00:04:10.080 --> 00:04:13.159 use the same systems, but don't exchange their specific data. 81 00:04:13.199 --> 00:04:17.720 Interest and as a service models as padus saws they 82 00:04:17.720 --> 00:04:19.360 seem to pop up everywhere they do. 83 00:04:19.439 --> 00:04:22.360 They basically define how much control you have versus how 84 00:04:22.439 --> 00:04:23.560 much is managed for you. 85 00:04:23.720 --> 00:04:25.480 Okay, break those down for US sure. 86 00:04:25.879 --> 00:04:30.160 Infrastructure as a service AAS is often called hardware as 87 00:04:30.160 --> 00:04:33.920 a service. It provides the basic building blocks virtualized computing 88 00:04:33.959 --> 00:04:39.240 resources like servers, networking storage. Customers lease these and manage 89 00:04:39.240 --> 00:04:43.879 the operating systems, applications, everything on top AWSC two is 90 00:04:43.920 --> 00:04:44.839 a prime example here. 91 00:04:44.920 --> 00:04:47.639 So you manage more but have more flexibility. 92 00:04:47.040 --> 00:04:51.160 Exactly then platform as a service pays. This offers a 93 00:04:51.240 --> 00:04:55.639 runtime environment developers can create, test, and deploy web applications 94 00:04:55.680 --> 00:04:59.360 without worrying about managing the underlying infrastructure, the servers, the 95 00:04:59.399 --> 00:05:03.000 operatings systems, the patching. Microsoft AZ your app service is 96 00:05:03.040 --> 00:05:06.879 a good example. Bake development faster, I imagine significantly. And finally, 97 00:05:06.959 --> 00:05:09.839 software as a service says this is the most common 98 00:05:09.879 --> 00:05:13.040 for end users. You get fully functional software programs over 99 00:05:13.079 --> 00:05:16.839 the Internet, usually on a subscription, no local downloads needed. 100 00:05:16.800 --> 00:05:19.759 Like Gmail or Microsoft Office three sixty five. 101 00:05:19.600 --> 00:05:22.040 Or Salesforce CRM. Yeah, you just log in and use it. 102 00:05:22.079 --> 00:05:24.279 The provider handles everything behind the scenes. 103 00:05:24.560 --> 00:05:28.079 So this all sounds incredibly powerful. But what about the 104 00:05:28.120 --> 00:05:29.800 downsides the drawbacks. 105 00:05:30.000 --> 00:05:33.680 Yeah, despite the huge advantages, there are critical disadvantages to 106 00:05:33.720 --> 00:05:37.839 consider such as well. First, Internet accessibility. It's all online, right, 107 00:05:38.120 --> 00:05:41.199 so if your Internet connection is unreliable, you lose access 108 00:05:41.199 --> 00:05:43.120 to your data and services, simple as. 109 00:05:43.040 --> 00:05:44.560 That a major to tendency. 110 00:05:44.639 --> 00:05:48.879 Absolutely. Then there's vendor lock in. Moving your applications or 111 00:05:49.000 --> 00:05:52.480 data from one cloud provider to another can be really challenging. 112 00:05:52.720 --> 00:05:55.959 The platforms are different, the APIs are different. It can 113 00:05:56.000 --> 00:05:56.959 be a major hurdle. 114 00:05:57.120 --> 00:05:58.759 Yeah, I've heard that can be tricky. 115 00:05:58.600 --> 00:06:03.000 And restricted authority. The provider owns and manages the infrastructure, 116 00:06:03.360 --> 00:06:06.199 so as a user you have less direct control over 117 00:06:06.240 --> 00:06:09.279 how services operate or maybe how deep you can customize 118 00:06:09.279 --> 00:06:09.879 certain things. 119 00:06:10.079 --> 00:06:12.240 You trade some control for convenience you do. 120 00:06:12.759 --> 00:06:16.959 And finally, security. While providers use strong measures, you are 121 00:06:17.040 --> 00:06:21.240 still granting a third party access to potentially critical company data. 122 00:06:21.720 --> 00:06:24.920 There's always a risk, however, small of data theft or breaches, 123 00:06:25.199 --> 00:06:26.600 specially during transmission. 124 00:06:26.879 --> 00:06:29.519 Right, trust is a huge factor. Okay, that gives us 125 00:06:29.519 --> 00:06:31.839 a solid picture of the cloud. Now let's turn to 126 00:06:31.879 --> 00:06:35.160 the other side of this equation, the things in IoT. 127 00:06:35.800 --> 00:06:38.720 The history goes back further than you might think, doesn't 128 00:06:38.759 --> 00:06:39.759 it beyond arpinet? 129 00:06:39.920 --> 00:06:43.839 Oh? Absolutely. The idea of connecting physical objects actually had 130 00:06:43.920 --> 00:06:46.759 a well a rather unusual start back in nineteen eighty two. 131 00:06:47.439 --> 00:06:51.199 David Nichols at Carnegie Mellon University. He just wanted to 132 00:06:51.199 --> 00:06:53.160 know if the coke vending machine down the hall was 133 00:06:53.199 --> 00:06:54.680 cold before walking over there. 134 00:06:54.879 --> 00:06:56.839 Uh, a classic problem, right. 135 00:06:57.160 --> 00:07:00.800 So, along with students Mike kazar Ivor Durhah and engineer 136 00:07:00.879 --> 00:07:04.079 John Zarna. They actually coded a way for anyone on 137 00:07:04.079 --> 00:07:07.920 the university's arpinnet to check the coke machine's status remotely, 138 00:07:07.959 --> 00:07:10.800 how many bottles were left and crucially were they cold. 139 00:07:10.959 --> 00:07:14.279 That's brilliant. Necessity or maybe just convenience is the mother 140 00:07:14.319 --> 00:07:17.480 of invention. And then came the first true thing in IoT. 141 00:07:18.000 --> 00:07:20.879 Yes, you could argue that. In nineteen ninety John Romke 142 00:07:21.040 --> 00:07:24.000 developed the first Internet operated toaster. It was connected to 143 00:07:24.040 --> 00:07:26.240 a PC with the cable. This was pre WiFi, remember, 144 00:07:26.240 --> 00:07:28.079 and you can prun it on and off remotely a toaster. 145 00:07:28.319 --> 00:07:31.759 Amazing in academics, they really seemed to love their caffeine 146 00:07:31.800 --> 00:07:34.879 because in nineteen ninety three the Trojan Room coffee pot 147 00:07:34.920 --> 00:07:37.839 at the University of Cambridge was created. It relayed the 148 00:07:37.839 --> 00:07:41.160 state of the coffee pot full empty, brewing three times 149 00:07:41.160 --> 00:07:44.240 a minute to a server viewable online, so. 150 00:07:44.240 --> 00:07:46.879 People wouldn't waste a trip for an empty pot. Again, 151 00:07:47.160 --> 00:07:51.120 solving real problems. So fast forward to today, what exactly 152 00:07:51.240 --> 00:07:52.240 is IoT now? 153 00:07:52.480 --> 00:07:56.199 Well, the Internet of Things fundamentally is a paradigm. It's 154 00:07:56.199 --> 00:08:01.480 about linking physical devices and items everyday object sensors, machines 155 00:08:01.560 --> 00:08:04.480 to the Internet. This allows them to gather and exchange 156 00:08:04.560 --> 00:08:07.160 data and interact with each other and their environment. 157 00:08:06.959 --> 00:08:09.680 Enabling automation, monitoring, control. 158 00:08:09.399 --> 00:08:11.800 Exactly all sorts of processes become possible. 159 00:08:11.959 --> 00:08:14.199 So what are the daily benefits for you the listener? 160 00:08:14.279 --> 00:08:15.560 How does this make life better? 161 00:08:16.040 --> 00:08:19.879 Well, it significantly enhances the standard of living. Think about communication, 162 00:08:20.240 --> 00:08:24.480 time saving, productivity, smart devices reminding you of appointments. Sure, 163 00:08:24.519 --> 00:08:27.360 but also think about easily downloading medical reports or smart 164 00:08:27.360 --> 00:08:29.560 homes learning your preferences. 165 00:08:29.000 --> 00:08:30.319 And automated processes too. 166 00:08:30.399 --> 00:08:35.639 Right, Absolutely countless tasks, turning on lights, automatically changing thermostats, 167 00:08:35.799 --> 00:08:40.240 tracking calories during exercise. It becomes seamless and beyond daily life. 168 00:08:40.320 --> 00:08:44.159 Look at business. The IoT based asset tracking and monitoring 169 00:08:44.159 --> 00:08:47.679 market is projected to grow significantly, from like three point 170 00:08:47.759 --> 00:08:50.639 nine billion dollars in twenty twenty two to six point 171 00:08:50.679 --> 00:08:54.000 six billion by twenty twenty seven. That let's businesses monitor 172 00:08:54.039 --> 00:08:56.759 resources in real time. Huge implications. 173 00:08:56.879 --> 00:08:59.399 How do these things actually work? Though? What's inside them? 174 00:08:59.679 --> 00:09:00.480 Good question. 175 00:09:00.840 --> 00:09:04.000 At the heart of IoT are sensors. These are what 176 00:09:04.039 --> 00:09:08.039 collect data from the surroundings, temperature, humidity, motion, light, you 177 00:09:08.120 --> 00:09:13.120 name it. They have characteristics like accuracy, range, resolution, sensitivity 178 00:09:13.519 --> 00:09:15.159 that determine how well they sense. 179 00:09:14.960 --> 00:09:17.000 So they gather the raw information right and. 180 00:09:16.960 --> 00:09:19.600 Then you often have actuators. These are devices that actually 181 00:09:19.639 --> 00:09:22.600 do something based on the sensor data or command. They 182 00:09:22.639 --> 00:09:25.159 move a control a mechanism, think of a servo motor 183 00:09:25.159 --> 00:09:27.480 that rotates or a valve that opens or closes. 184 00:09:27.720 --> 00:09:31.240 Sensors sense, actuators act makes sense and how do they 185 00:09:31.240 --> 00:09:33.399 talk to each other or get data to the cloud. 186 00:09:33.639 --> 00:09:36.679 That's where the IoT gateway often comes in. It acts 187 00:09:36.720 --> 00:09:40.320 like a bridge or a hub between communication channels. It 188 00:09:40.360 --> 00:09:44.600 creates connections between devices which might use different protocols. 189 00:09:44.000 --> 00:09:46.279 In the cloud, so it translates exactly. 190 00:09:46.320 --> 00:09:50.639 It interprets protocols, gathers data, can even perform some local 191 00:09:50.639 --> 00:09:54.480 analysis in filtering before sending data to the cloud. This 192 00:09:54.600 --> 00:09:58.120 enhances security and allows devices to operate more independently. 193 00:09:58.200 --> 00:10:01.080 Sometimes and how do they actually can what are the methods? 194 00:10:01.559 --> 00:10:05.279 There are a few communication models. Devices can communicate directly 195 00:10:05.399 --> 00:10:08.960 device to device using things like Bluetooth or Zigbie good 196 00:10:08.960 --> 00:10:11.639 for short range like in a smart home, or they 197 00:10:11.639 --> 00:10:15.120 can connect straight to an Internet cloud service device to 198 00:10:15.159 --> 00:10:18.159 cloud using Wi Fi or maybe cellular data like four 199 00:10:18.200 --> 00:10:21.279 G or five G MORETAR direct Yes, and there's also 200 00:10:21.360 --> 00:10:25.120 a device to gateway model here, an on premises gateway 201 00:10:25.120 --> 00:10:28.360 acts as a conduit to a cloud platform. It adds security, 202 00:10:28.399 --> 00:10:31.320 protocol translation, maybe some local processing. 203 00:10:30.879 --> 00:10:32.559 And the technologies they use for that connection. 204 00:10:33.000 --> 00:10:35.960 Lots of options. Wi FI is obviously popular for local 205 00:10:35.960 --> 00:10:41.159 area networks. NFC near field communication enables quick, secure communication, 206 00:10:41.279 --> 00:10:46.360 but only within like four centimeters ideal for smartphones, contactless payments, 207 00:10:46.879 --> 00:10:48.480 cellular is key for wide area. 208 00:10:48.519 --> 00:10:51.519 As I mentioned, it sounds mostly positive, a lot of potential, 209 00:10:51.840 --> 00:10:54.919 But are there any downsides to IoT similar to the cloud? 210 00:10:55.320 --> 00:11:00.320 Oh? Yes, there are definitely significant disadvantages to consider, like 211 00:11:00.360 --> 00:11:04.600 what well, security issues are probably the biggest. With potentially 212 00:11:04.639 --> 00:11:08.440 billions of connected devices, hackers could access the network, steal data, 213 00:11:08.480 --> 00:11:12.000 even take control of devices. The attack surface is just huge. 214 00:11:12.080 --> 00:11:13.120 Yeah, that's a scary thought. 215 00:11:13.240 --> 00:11:16.960 Then there's the potential for increasing indolence. Maybe people become 216 00:11:17.000 --> 00:11:20.159 too accustomed to click based work or having everything done 217 00:11:20.200 --> 00:11:23.240 for them, reducing physical activity or even the need for 218 00:11:23.279 --> 00:11:25.240 some types of research or problem solving. 219 00:11:25.399 --> 00:11:28.200 A societal shift, maybe not entirely positive. 220 00:11:27.879 --> 00:11:31.120 Could be and related to that unemployment As automation gets 221 00:11:31.120 --> 00:11:34.080 smarter and more capable through IoT, there's a serious risk 222 00:11:34.120 --> 00:11:37.440 of job loss, especially for unskilled or semi skilled workers 223 00:11:37.440 --> 00:11:39.279 whose tasks can be easily automated. 224 00:11:39.519 --> 00:11:44.279 Okay, serious considerations there. So we have cloud computing, powerful, 225 00:11:44.320 --> 00:11:47.559 but with challenges. We have IoT connecting everything. But I'll 226 00:11:47.559 --> 00:11:49.879 say the challenge is what happens when you bring these 227 00:11:49.919 --> 00:11:52.240 two giants together? Why integrate them? 228 00:11:52.399 --> 00:11:55.559 Ah, that's where the real power lies. The integration of 229 00:11:55.600 --> 00:11:58.919 cloud and IoT is synergistic. They solve each other's problems 230 00:11:58.960 --> 00:12:02.080 in a way. How So, cloud provides the scalable, secure, 231 00:12:02.159 --> 00:12:06.159 and powerful back end infrastructure that's absolutely necessary to handle 232 00:12:06.159 --> 00:12:09.639 the massive amounts of data generated by all those IoT devices. 233 00:12:09.919 --> 00:12:12.879 IoT devices simply can't process or store that kind of 234 00:12:12.919 --> 00:12:15.840 volume locally, right. The scale is immense, and in turn, 235 00:12:16.000 --> 00:12:19.679 IoT devices provide the real time, granular data from the 236 00:12:19.679 --> 00:12:23.080 physical world that the cloud can then analyze and act upon. 237 00:12:23.440 --> 00:12:25.679 It grounds the cloud's power and reality. 238 00:12:25.840 --> 00:12:27.879 So what's the main takeaway for you the listener? Why 239 00:12:27.960 --> 00:12:29.480 is this convergence so important? 240 00:12:30.240 --> 00:12:34.519 It's about creating truly intelligent systems. It offers enhanced computational 241 00:12:34.519 --> 00:12:38.720 capabilities and data scalability that are essential for the exponential 242 00:12:38.720 --> 00:12:42.440 growth of IoT data handling The data flood exactly. It 243 00:12:42.559 --> 00:12:45.639 enables real time data analysis, which is crucial for immediate 244 00:12:45.639 --> 00:12:48.879 decision making, whether it's adjusting a smart grid or guiding 245 00:12:48.879 --> 00:12:53.159 a self driving carus Cloud computing also allows for centralized 246 00:12:53.200 --> 00:12:57.399 administration of IoT devices. Imagine trying to update thousands of 247 00:12:57.440 --> 00:13:01.559 sensors individually versus managing them from one cloud console. Much 248 00:13:01.559 --> 00:13:03.879 easier for updates, security. 249 00:13:03.360 --> 00:13:05.279 Patches, management at scale, and. 250 00:13:05.279 --> 00:13:09.360 Providers invest heavily in cybersecurity measures, offering a generally more 251 00:13:09.440 --> 00:13:13.240 robust defense for IoT data and devices than most organizations 252 00:13:13.240 --> 00:13:17.000 could build themselves. Plus, with global data centers, it offers 253 00:13:17.080 --> 00:13:20.879 global reach, processing data closer to users, and of course 254 00:13:21.000 --> 00:13:24.360 a cost efficient pay as you go model, reducing upprint 255 00:13:24.360 --> 00:13:26.440 infrastructure costs for IoT projects. 256 00:13:26.519 --> 00:13:28.879 Okay, that paints a clear picture of the why. Here's 257 00:13:28.919 --> 00:13:32.480 where it gets really interesting. I think this integration isn't 258 00:13:32.480 --> 00:13:35.840 just theoretical. It's transforming industries right now, Let's dive into 259 00:13:35.840 --> 00:13:37.679 some specific examples from the sources. 260 00:13:38.039 --> 00:13:41.399 Absolutely, let's start with smart farming solutions. We touched on it, 261 00:13:41.440 --> 00:13:45.120 but IoT sensors gather real time data soil conditions, whether 262 00:13:45.279 --> 00:13:49.159 crop health. This gets sent to cloud platforms for analysis, 263 00:13:49.240 --> 00:13:50.840 often using machine learning. 264 00:13:50.720 --> 00:13:52.519 Enabling that precision agriculture you. 265 00:13:52.519 --> 00:13:57.000 Mat but precisely farmers make inform decisions on irrigation, fertilization, 266 00:13:57.159 --> 00:14:01.679 pest management, optimizing resource use. The John Deere Operations Center 267 00:14:01.799 --> 00:14:05.080 is a great example a cloud platform using data from 268 00:14:05.200 --> 00:14:11.159 IoT enabled machinery to optimize planting, harvesting, boosting yields, reducing. 269 00:14:10.759 --> 00:14:12.519 Waste, and monitoring livestock too. 270 00:14:12.679 --> 00:14:16.399 Yes, monitoring health and behavior, detecting illness early. It's a 271 00:14:16.480 --> 00:14:17.200 huge shift. 272 00:14:17.360 --> 00:14:20.720 Wow. What is something like cloud IoT and railways? 273 00:14:20.840 --> 00:14:23.960 This creates a smart connected rail network. IoT devices on 274 00:14:24.000 --> 00:14:25.960 trains and tracks collect real time data. 275 00:14:26.039 --> 00:14:28.559 The cloud processes it so authorities can do what with 276 00:14:28.639 --> 00:14:29.159 that data? 277 00:14:29.200 --> 00:14:33.480 Optimized timetables conduct predictive maintenance like monitoring railway sleepers for 278 00:14:33.559 --> 00:14:36.879 stress and vibration to anticipate failure before it happens, and 279 00:14:36.960 --> 00:14:40.279 offer better passenger services like real time trip info. It's 280 00:14:40.279 --> 00:14:41.639 about safety and efficiency. 281 00:14:41.960 --> 00:14:44.200 Predictive maintenance seems like a recurring theme here. 282 00:14:44.279 --> 00:14:47.519 It's a massive benefit of this integration. Now think about 283 00:14:47.600 --> 00:14:51.679 embedded IoT and cloud in healthcare. Real time monitoring and 284 00:14:51.759 --> 00:14:55.159 analysis of patient data becomes possible outside. 285 00:14:54.679 --> 00:14:56.360 The hospital, wearables and such. 286 00:14:56.440 --> 00:15:00.639 Exactly, IoT devices and wearables, monitor vital sign help manage 287 00:15:00.679 --> 00:15:05.200 chronic diseases, potentially reducing hospital visits. The sources even mention 288 00:15:05.320 --> 00:15:09.000 a framework for stress prediction and diagnosis using neural networks 289 00:15:09.000 --> 00:15:10.559 and machine learning in the cloud. 290 00:15:10.759 --> 00:15:11.519 How does that work. 291 00:15:11.720 --> 00:15:15.639 It uses IoT based sensors to monitor facial expressions believe 292 00:15:15.639 --> 00:15:19.799 it or not, and notifies health experts if specific potentially 293 00:15:19.879 --> 00:15:24.240 problematic expressions are recorded repeatedly. Plus AI and mL and 294 00:15:24.279 --> 00:15:27.159 the cloud are used for more accurate diagnosis, drug discovery, 295 00:15:27.159 --> 00:15:29.679 and personalized therapy based on individual data. 296 00:15:29.879 --> 00:15:32.639 That's incredible and maybe a little unsettling too. We'll come 297 00:15:32.639 --> 00:15:35.080 back to the ethics. What about smart retail. 298 00:15:34.919 --> 00:15:39.519 IoT and cloud enhance the shopping experience, managing inventories automatically 299 00:15:39.759 --> 00:15:44.200 providing personalized marketing based on behavior, analyzing consumer trends like 300 00:15:44.279 --> 00:15:48.879 Amazon Go perfect example. IoT sensors track what customers pick up, 301 00:15:49.120 --> 00:15:51.399 send data to the cloud for real time analysis, and 302 00:15:51.440 --> 00:15:54.559 automatically charge their accounts no checkout lines. 303 00:15:54.639 --> 00:15:57.840 It's frictionless, definitely changes the experience and smart. 304 00:15:57.600 --> 00:16:01.879 Cities huge potential there. Improving public transport, reducing traffic by 305 00:16:01.960 --> 00:16:05.799 dynamically adjusting traffic lights based on real time flow, Enhancing 306 00:16:05.799 --> 00:16:10.240 public safety. Smart grids using IoT and AI optimize energy distribution, 307 00:16:10.480 --> 00:16:11.480 cutting energy use. 308 00:16:11.600 --> 00:16:13.759 What about the environment itself? Environmental monitoring. 309 00:16:13.919 --> 00:16:17.279 Yes, IoT devices monitor air and water quality with the 310 00:16:17.320 --> 00:16:21.720 cloud providing real time reports. One fascinating case study detailed 311 00:16:21.720 --> 00:16:24.240 an underwater environmental monitoring. 312 00:16:23.759 --> 00:16:25.799 System underwater How did that work? 313 00:16:25.960 --> 00:16:30.320 IoT sensors measured pH temperature, pollutants sent real time data 314 00:16:30.360 --> 00:16:34.519 to a cloud analytics platform. Machine learning algorithms detected patterns 315 00:16:34.720 --> 00:16:39.600 like sudden changes indicating pollution or harmful algal blooms, triggering. 316 00:16:39.200 --> 00:16:41.919 Alerts, allowing for prompt action from marine reserves. 317 00:16:42.000 --> 00:16:45.840 Exactly. This even extended to a tsunami early warning system 318 00:16:45.960 --> 00:16:49.000 using seabed sensors and real time cloud data processing for 319 00:16:49.080 --> 00:16:51.720 rapid alerts and coordinating emergency responses. 320 00:16:52.000 --> 00:16:54.600 Wow, and even wildlife preservation definitely. 321 00:16:54.799 --> 00:16:58.639 Cloud platforms securely store and analyzed data from GPS callers, 322 00:16:58.960 --> 00:17:03.639 sensor networks, camera traps, and wildlife habitats, crucial for monitoring 323 00:17:03.679 --> 00:17:08.440 animal behavior, habitat changes, and anti poaching efforts. Specific examples 324 00:17:08.519 --> 00:17:12.599 things like GPS callers on primates monitoring wolves in Yellowstone, 325 00:17:13.000 --> 00:17:17.759 elephant conservation in Africa using GPS tracking data, cheetah conservation 326 00:17:17.799 --> 00:17:22.359 in Namibia using satellite imagery and IoT sensors, even acoustic 327 00:17:22.440 --> 00:17:26.279 monitoring with IoT audio sensors to identify species or detect 328 00:17:26.319 --> 00:17:30.319 distress calls. Citizens Science apps also leverage this, letting people 329 00:17:30.359 --> 00:17:31.240 report sightings. 330 00:17:31.319 --> 00:17:34.839 It's amazing the breadth of applications. This all sounds incredible, 331 00:17:34.839 --> 00:17:38.200 but integrating such powerful technologies as we touched on, must 332 00:17:38.240 --> 00:17:39.799 come with its own set of hurdles. 333 00:17:39.839 --> 00:17:43.559 Right significant one absolutely the sources highlights several critical challenges. 334 00:17:43.599 --> 00:17:47.960 Capitalist privacy and security issues always a major concern. IoT 335 00:17:48.039 --> 00:17:51.640 devices collect vast amounts of sensitive data. Sending it to 336 00:17:51.680 --> 00:17:57.680 the cloud inherently exposes it to risks, data breaches, unauthorized access, malware. 337 00:17:58.319 --> 00:18:01.880 Compliance with regulations like g DPR and HYPA is complex. 338 00:18:02.359 --> 00:18:04.440 You have to ensure data protection. 339 00:18:04.200 --> 00:18:05.920 And to end the huge responsibility. 340 00:18:06.000 --> 00:18:11.000 Then scalability and latency IoT ecosystems grow exponentially. The cloud 341 00:18:11.079 --> 00:18:14.440 needs to handle massive data volumes efficiently and for time 342 00:18:14.519 --> 00:18:20.359 sensitive applications autonomous vehicles, industrial controls, delays latency can be unacceptable, 343 00:18:20.759 --> 00:18:25.319 even dangerous meloseconds matter they really do, and ensuring interoperability 344 00:18:25.319 --> 00:18:28.880 between diverse devices from different manufacturers is a constant battle. 345 00:18:29.240 --> 00:18:30.839 Getting them all to speak the same language. 346 00:18:30.880 --> 00:18:34.720 Essentially, standardization is key but hard to achieve very Cost 347 00:18:34.759 --> 00:18:36.039 management is another factor. 348 00:18:36.359 --> 00:18:39.960 Cloud can be cost effective, but scaling huge IoT deployments 349 00:18:39.960 --> 00:18:43.720 can still get expensive. You need careful strategies for monitoring usage, 350 00:18:43.839 --> 00:18:46.599 maybe using serverless architectures, optimizing data. 351 00:18:46.359 --> 00:18:48.559 Flow, keeping costs under control, and. 352 00:18:48.480 --> 00:18:54.519 Finally, regulatory compliance. Especially in regulated industries like healthcare or finance, 353 00:18:55.039 --> 00:18:59.279 these intelligent systems must comply with stringent, often complex, industry 354 00:18:59.319 --> 00:19:02.759 specific rules tools. Navigating that is a challenge, and. 355 00:19:02.680 --> 00:19:06.279 Beyond the technical hurdles, there are significant ethical questions raised 356 00:19:06.279 --> 00:19:07.480 by this convergence, aren't there? 357 00:19:07.839 --> 00:19:11.079 Absolutely? This raises really important questions about how we ensure 358 00:19:11.160 --> 00:19:15.880 ethical use. For example, in healthcare, patient consent and data ownership. 359 00:19:16.519 --> 00:19:20.119 How is patient data appropriately used? Was their truly informed 360 00:19:20.160 --> 00:19:23.519 consent for data collection via that wearable and who actually 361 00:19:23.519 --> 00:19:27.240 owns that data? The patient, the provider, the device maker? 362 00:19:27.400 --> 00:19:28.799 Murky waters very. 363 00:19:28.920 --> 00:19:32.960 Then algorithmic bias, especially with AI applications. If the training 364 00:19:33.039 --> 00:19:36.359 data is skewed, the AI's judgments can be biased. Think 365 00:19:36.400 --> 00:19:40.720 about loan applications or even diagnostic tools. We need transparent 366 00:19:40.799 --> 00:19:43.319 and explainable AI models to ensure fairness. 367 00:19:43.480 --> 00:19:46.680 Fairness and transparency are crucial, and what about the privacy 368 00:19:46.680 --> 00:19:51.359 of wildlife tracking technologies like GPS callers collect detailed data 369 00:19:51.400 --> 00:19:52.799 on individual. 370 00:19:52.240 --> 00:19:56.319 Animals, It raises concerns about infringing on their privacy In 371 00:19:56.359 --> 00:20:00.920 a sense, data needs secure handling, anony misusation where. 372 00:20:00.720 --> 00:20:02.720 Possible, interesting ethical dimension. 373 00:20:02.759 --> 00:20:07.519 There also community engagement and cultural sensitivity. Implementing tech in 374 00:20:07.559 --> 00:20:11.519 conservation or smart city projects impacts local communities. They need 375 00:20:11.519 --> 00:20:14.880 to be adequately involved and local knowledge and cultural values 376 00:20:14.960 --> 00:20:17.920 must be respected. It can't just be imposed from the outside. 377 00:20:18.000 --> 00:20:20.160 Partnership not just implementation right. 378 00:20:20.240 --> 00:20:24.799 And finally, equitable access to technology. Unequal access can create 379 00:20:24.920 --> 00:20:28.839 or worsen disparities. Efforts are needed to ensure affordability and 380 00:20:28.880 --> 00:20:31.920 digital literacy to bridge these technological gaps. 381 00:20:32.079 --> 00:20:33.960 So a lot to think about beyond just making the 382 00:20:34.000 --> 00:20:37.279 tech work. Looking ahead that what's next? What exciting trends 383 00:20:37.279 --> 00:20:42.039 are emerging for the convergence of cloud, IoT, and increasingly AI. 384 00:20:42.119 --> 00:20:45.559 The future looks incredibly dynamic. A major trend is edge 385 00:20:45.599 --> 00:20:47.519 computing and EDGEAI. 386 00:20:47.319 --> 00:20:50.039 Processing data closer to the source right exactly. 387 00:20:50.160 --> 00:20:52.440 Instead of sending everything to the central cloud, you process 388 00:20:52.519 --> 00:20:55.440 data closer to the IoT devices themselves at the edge 389 00:20:55.480 --> 00:20:59.880 of the network. This drastically reduces latency and bandwidth. Use 390 00:21:00.400 --> 00:21:04.319 for real time applications like autonomous vehicles or factory. 391 00:21:03.880 --> 00:21:07.400 Automation makes sense and EDGAI that means. 392 00:21:07.319 --> 00:21:10.680 Running AI models directly on edge devices or gateways. You 393 00:21:10.720 --> 00:21:14.960 can even train models collaboratively on decentralized data using federated learning, 394 00:21:15.200 --> 00:21:19.519 which keeps raw data local, enhancing privacy very interesting. Else 395 00:21:19.720 --> 00:21:24.519 five G connectivity, the rollout promises ultra fast, low latency, 396 00:21:24.720 --> 00:21:29.160 highly reliable connections. This will be crucial for seamless real 397 00:21:29.200 --> 00:21:33.160 time data exchange between billions of IoT devices in the cloud, 398 00:21:33.480 --> 00:21:37.119 boosting applications in smart cities, connected cars, remote surgery the 399 00:21:37.400 --> 00:21:41.759 enabler definitely. We'll also see more sophisticated digital twins, virtual 400 00:21:41.799 --> 00:21:45.559 replicas of physical objects or systems fed by real time 401 00:21:45.640 --> 00:21:49.079