Speaker 1: No matter the location, from the global South to northern Europe,
Speaker 1: from the far East to the American West Coast, life
Speaker 1: in the modern day city is both exhilarating and exhausting.
Speaker 1: Consider all the different cities you've visited throughout the world,
Speaker 1: then try and take a mental picture of what you've seen.
Speaker 1: Of course, you could focus on the luster of city life,
Speaker 1: but don't forget about the traffic, the commotion, and the confusion.
Speaker 1: I recently traveled to Italy with my family, and I
Speaker 1: was crazy enough to drive through the narrow streets of Rome,
Speaker 1: where local drivers take stop signs as suggestions. But in
Speaker 1: the future, the chaos of busy city streets might become
Speaker 1: distant memories of what city life used to be. The
Speaker 1: rise of AI technology is making cities smarter. Urban planners
Speaker 1: and city engineers are teaming up with some of the
Speaker 1: eating minds in AI. Together they are streamlining how cities
Speaker 1: can be more energy efficient, safer, and enjoyable than ever before.
Speaker 1: Join us as we reimagine urban life and how we
Speaker 1: interact with our surroundings in the smartest cities yet. Welcome
Speaker 1: to Technically Speaking, an Intel podcast produced by iHeartMedia's Ruby
Speaker 1: Studio in partnership with Intel. In every episode, we explore
Speaker 1: how AI innovations are changing the world and revolutionizing the
Speaker 1: way we live. Hey, then I'm grand class. Today we
Speaker 1: take our episode to the city streets, where AI technology
Speaker 1: is already making a tremendous impact across the globe. In
Speaker 1: this episode, we will focus on how Intel's AI technology
Speaker 1: is impacting local infrastructures and changing the urban landscape. Plus
Speaker 1: we'll learn about real world examples where AI has changed
Speaker 1: the way residents of one bustling city live, work, and
Speaker 1: commute every day. But before we go any further, let's
Speaker 1: welcome our guests. Joining us today is Ashshiyadov, the head
Speaker 1: of Strategic Partnership, Alliances and Technical Product Marketing at cap Gemini,
Speaker 1: a global leader in partnering with companies to transform and
Speaker 1: manage their business by harnessing the power of technology. Cap
Speaker 1: Gemini has partnered with Intel to develop the five G
Speaker 1: Roadside Unit, which will improve five G communications between traffic
Speaker 1: monitoring cameras, sensors, vehicles, and pedestrians, making cities run smoother
Speaker 1: and safer for everyone. Welcome to the show, Ashiesh.
Speaker 2: Thank you Graham, It's so nice to be here. This morning.
Speaker 1: We're also joined by a JVS. Ramakrishna, a technology expert
Speaker 1: who lives in Hyderabad, India, where local authorities have leaned
Speaker 1: on Intel zeon servers as part of the solution to
Speaker 1: address challenges around effective traffic management and ensure public safety
Speaker 1: as the city has expanded beyond its limits. The strategy
Speaker 1: has improved traffic flow significantly by identifying congestion hotspots and
Speaker 1: dynamically adjusting signal timings, helping optimize travel times citywide. Today.
Speaker 1: JVS is also the global business unit head for Sustainable
Speaker 1: Smart World at L and T Technology Services, also known
Speaker 1: as LTTS. Welcome to the show, JVS.
Speaker 3: Thank your Graham, pleasure to be here in the show.
Speaker 1: I think before we start discussing solutions on making our
Speaker 1: cities smarter, I'd like to get both of your thoughts
Speaker 1: about some of the common challenges cities face. When some
Speaker 1: people think of busy city life, they think of congestion,
Speaker 1: think of traffic, they think of safety concerns. I'm sure
Speaker 1: some of our audience right now is listening to us
Speaker 1: while in a traffic jam. When it comes to infrastructure,
Speaker 1: how can we plan our cities? What sticks out is
Speaker 1: the common problem most cities face. I'll start with you, Iseshesh.
Speaker 4: So traffic is definitely one of the most challenging part
Speaker 4: of city life and there are many ways to solve it.
Speaker 4: But for me also personally, I have a lot of
Speaker 4: thoughts around how we can do it. Let's continue to
Speaker 4: talk and we can tell more into it.
Speaker 1: Absolutely jvs.
Speaker 3: While technology plays a very important role, you know, I
Speaker 3: come from part in India where traffic is like all pervesu.
Speaker 3: I mean it's like everywhere and you would see millions
Speaker 3: of people on the roads. But I think it started
Speaker 3: with master about planning. Urban planning is the key in
Speaker 3: terms of the city growth and how do the road
Speaker 3: infrastructure is planned. Then follows the technology infrastructure.
Speaker 4: The cities are already planned, you cannot erase the lines
Speaker 4: and create new roads. But I still feel technology can
Speaker 4: do a lot of good even with all those I
Speaker 4: would say misplanned roads, right, That's where the power of
Speaker 4: technology comes in.
Speaker 1: Yeah. And it's interesting beside that because generally cities have
Speaker 1: been planned from a historical perspective. If for example, in Perth,
Speaker 1: it was an agricultural type city long time ago, so
Speaker 1: the roads are designed for getting access to farmlands, and
Speaker 1: now it's you know, obviously the metropolitan area has grown,
Speaker 1: and perhaps that leads us into what is a smart city?
Speaker 1: Maybe we could start a shish with what's your definition
Speaker 1: of what a quite smart city is?
Speaker 4: So I would say a smart city's city that is
Speaker 4: keeping the efficiency and quality of life of its citizens
Speaker 4: at the foremost. Where I would say you are using
Speaker 4: and integrating technology and communication efficiently so that everyday life
Speaker 4: becomes easier and the challenges become less and less as
Speaker 4: the city becomes smarter and smarters.
Speaker 3: I've been trying to figure out this definition for last
Speaker 3: more eight nine years now, just to set the context.
Speaker 3: In cities like San Francisco, Birth and all, they have
Speaker 3: been planned historically. But most of the developing world where
Speaker 3: there as a lot of infrastructure activity is happening, I think
Speaker 3: that's where they have an opportunity to replan. But the
Speaker 3: problem statements are different to different cities. What is a
Speaker 3: smart city? In one small town of India where they
Speaker 3: had a problem of unpredictable water supply, So people who
Speaker 3: are like probably queuing up late night, you know, waking
Speaker 3: for a water supply. If they get an SMS, they
Speaker 3: know exactly when it's going to come. The water is
Speaker 3: going to come right, so that's smart for them, Whereas
Speaker 3: in big cities like Mumbai and Aderabat, it's all about traffic, safety,
Speaker 3: utilities and a waste measurement so on. So I think
Speaker 3: the definition varies, but ultimate it's all about production of
Speaker 3: the wastage efficiencies, quality of life.
Speaker 4: I come from a small village in India and near
Speaker 4: our village there is hardly any water, and today that
Speaker 4: area is thriving. We may talk about a first world
Speaker 4: country where smartness is more to do with sensing so
Speaker 4: that I don't have to wait even one minute on
Speaker 4: a traffic light, to somebody in a third world country
Speaker 4: or a West country where even getting that water is smart.
Speaker 2: I agree with you, and.
Speaker 1: That actually leads us to thinking more about these sorts
Speaker 1: of smart solutions. As she she've worked with five G
Speaker 1: commercializations for a number of years. Now. Before we get
Speaker 1: into the role five G plays in smart cities, we're
Speaker 1: going to be hearing in this podcast episode the term
Speaker 1: RSU or roadside unit a lot. Can you just help
Speaker 1: us dissect what this actually means? What does five G
Speaker 1: RSU mean?
Speaker 4: So five G is not just a fast data on
Speaker 4: your phone or that five giken on your right top
Speaker 4: corner of your phone. It enables much more because of
Speaker 4: the low latency and high speed of the data. For example,
Speaker 4: these roadside units could be just single server, harmless, small
Speaker 4: service sitting somewhere and that could monitor and sense if
Speaker 4: there is traffic. They can even sense if there is
Speaker 4: a distin on the way the automous vehicle can take
Speaker 4: a break, so they could enable that kind of interaction
Speaker 4: between the pedestrian and the car. They could ensure that
Speaker 4: the lights the signals are to the point where there
Speaker 4: is less and less congestion, So it could be making
Speaker 4: your traffic smarter. Because of the low latency, you could
Speaker 4: have all those signals going out to the vehicles, to
Speaker 4: the phones, if not the smart cars, and then making
Speaker 4: it consistent also the signals on the lights based on
Speaker 4: the sensors, on where the pedestrians are, where you could
Speaker 4: prioritize the pedestrians, you could prioritize the bikers, you could
Speaker 4: prioritize the congestion. All those things can be done with
Speaker 4: the RSUs.
Speaker 1: I'm just thinking of another scenario, particularly around school zones
Speaker 1: where I live. It would be nice to be able
Speaker 1: to prioritize school students crossing the road or notifying cars
Speaker 1: to slide down and watch out during those pick up
Speaker 1: and drop off times at school.
Speaker 4: So, Graham, the thing is, once you have connectivity, once
Speaker 4: you have cameras, the use cases expand. They can tailor
Speaker 4: to your needs. You could even sense based on the height,
Speaker 4: based on the uniforms, based on timing. You could do
Speaker 4: all those wonderful things. It's just a matter of your
Speaker 4: imagination and how far you can take it.
Speaker 1: And you've talked a little bit about the technological benefit
Speaker 1: of the five G protocol. Why is five G a
Speaker 1: game changer?
Speaker 2: All right, thank you.
Speaker 4: This is my favorite topic because I really believe five
Speaker 4: G is going to make the change that's needed in
Speaker 4: the society. When LT came, you could see a lot
Speaker 4: of applications, You could see a lot of enablement of
Speaker 4: the app stores, but still latency was a big concern.
Speaker 4: With five G, the latency reduced, the throughput increased, so
Speaker 4: now you can be in more reliable situations. LT was
Speaker 4: a good step because it moved from just the voice
Speaker 4: calls to more an application world. But with five G
Speaker 4: you can take it to a real life level. You're
Speaker 4: just not playing games. You're moving beyond. You're impacting and
Speaker 4: touching real lives now, on traffic signals, on waste management systems,
Speaker 4: on power grades, and these are all real examples that
Speaker 4: are happening in cities. You see it in Singapore, you
Speaker 4: see it in Barcelona, you see it in Dubai. So
Speaker 4: so many of these countries are already deploying these use cases.
Speaker 1: Let's pause here for a second to analyze what Asheesh
Speaker 1: just said. You heard her mention both LT and five
Speaker 1: G and the differences between the two. LT stands for
Speaker 1: long term evolution. And when it was introduced, it served
Speaker 1: as a significant upgrade from existing three G technology, but
Speaker 1: it only offers a speed of one hundred megabits per second.
Speaker 1: Five G, on the other hand, delivers up to twenty
Speaker 1: gigabits per second. That's the speed improvement of two hundred
Speaker 1: times now. Five GEN. Near edge is the intersection of
Speaker 1: two technologies, five G network technology and edge computing. It
Speaker 1: brings the power of local computing in your home, in
Speaker 1: your car, or at the traffic lights, together with high
Speaker 1: speed mobile networks. All this means is that these edge
Speaker 1: computers can make super fast decisions at the locations where
Speaker 1: it's critically needed. With that in mind, I asked Ashish
Speaker 1: how cap Geminis roadside units work and how five G
Speaker 1: technology can help vehicles communicate with one another to ensure
Speaker 1: safety on the road.
Speaker 4: So roadside units and autonomous A vehicles will go hand
Speaker 4: in hand. This will become more relevant than the autonomous
Speaker 4: vehicles come into play. So imagine a traffic signal not needed.
Speaker 4: That could be the future. Why is it needed today,
Speaker 4: Because when somebody takes a break, other person needs to
Speaker 4: come in. What if you can coordinate the two vehicles.
Speaker 4: The edge can tell the vehicle at this moment, this
Speaker 4: vehicle is going to intersect, so you don't need to stop.
Speaker 4: You can slow down, and then the same signal from
Speaker 4: vehicle to vehicle can go to other vehicles which can
Speaker 4: tell them to slow down. So the traffic might slow
Speaker 4: down a bit, but you don't need to stop in
Speaker 4: a traffic signal. That's the extent that it can go
Speaker 4: to because there's a communication between vehicle to vehicle. There's
Speaker 4: a communication between signal to vehicle. So for now it
Speaker 4: can be more efficiency, but going forward it can be autonomous.
Speaker 3: That's the future of it and JVS.
Speaker 1: Where have you seen other areas or other cities that
Speaker 1: I've used this sort of roadside technology And it's a
Speaker 1: two part kind of question. Is that plus using some
Speaker 1: of the new kind of AI type technology that's coming
Speaker 1: about and being able to improve the overall infrastructure of
Speaker 1: these cities.
Speaker 3: Yeah, So this technology has been extensively adopted in India.
Speaker 3: More than hundred cities have implemented po or less similar
Speaker 3: technologies where roads that units play significant route. The biggest
Speaker 3: challenge is traffic enforcement in this part of the world,
Speaker 3: and to do the traffic enforcement, we need to consistently
Speaker 3: read the license plate numbers in terms of the violations,
Speaker 3: whether they're crossing the red light, or somebody's coming in
Speaker 3: the opposite direction and so on and so forth. It's
Speaker 3: extremely important from latency point of view because the MOMENTI process,
Speaker 3: it has to coordinate with the red light and decide
Speaker 3: whether it's a violation or not, and then it has
Speaker 3: to immediately notify the violation along with the evidences.
Speaker 4: I can really see this RSU getting more useful for
Speaker 4: violations because in India it's a very common practice for
Speaker 4: people to not honor the traffic light. So one of
Speaker 4: the things that's happening these days which is leading to
Speaker 4: very good traffic management India is those sensors on the
Speaker 4: traffic lights and with the IRISU coind off the situation,
Speaker 4: you can read the number plate and you can get
Speaker 4: to the violators automatically. And I hear that these days
Speaker 4: a lot of tickets that are coming to homes with that.
Speaker 3: At this moment, we run twenty five smart City Command centers.
Speaker 3: Almost every city has got this feature. And trust me,
Speaker 3: in some intersections the moment the tickets come next the morning,
Speaker 3: you would find everybody behind the line. So it's quite
Speaker 3: effective in this part of the world.
Speaker 1: Yeah, that might also lead me to I guess another challenge. Particularly,
Speaker 1: I'd like to get your thoughts about India's overall approach
Speaker 1: to this, because in Europe and American and in some
Speaker 1: regards Canada and Australia, we are very much concerned about
Speaker 1: some of the privacy aspects of this, of the sensors
Speaker 1: and cameras and being able to automatically detect violations and
Speaker 1: things like that. How some of the safeguards being put
Speaker 1: in place so that it can protect people's informations about
Speaker 1: themselves and their movements.
Speaker 3: First of all, all this data that is being captured
Speaker 3: at the near edge is anonymous meus, you have license plates,
Speaker 3: you wondn't have any information about that person because there
Speaker 3: is nothing called people databas here. Number two most important
Speaker 3: thing is that once you get the data, once the
Speaker 3: tickets are generated, it goes into the data centers where
Speaker 3: the data privacy is given the most highest priority in
Speaker 3: terms of data availability point of view.
Speaker 4: Let me chime in and the technology part that takes
Speaker 4: care of this. The moment edge comes into play, security
Speaker 4: does become a concern because you are out of the
Speaker 4: data center hole security now, especially when you are on
Speaker 4: a standalone edge. But the best part about edge is
Speaker 4: also that the data is with the enterprise. If it's
Speaker 4: the police to department or the traffic management department that's
Speaker 4: handling the edge, then the data is only with that department.
Speaker 1: Okay, great, And we talked a lot about the edge
Speaker 1: and near edge and kind of related to the privacy issue.
Speaker 1: Are you working with that data in terms of generating
Speaker 1: new AI models or some sort of machine learning side
Speaker 1: of things to continually improve the system as a whole.
Speaker 4: That is correct, that data, even when it's anonymous, can
Speaker 4: be used for analytics and can be fed into the
Speaker 4: machine learning engine so that it can create more insights
Speaker 4: as well as more behavior modification for the use cases
Speaker 4: going forward, enabling more efficiency for the users.
Speaker 3: Absolutely, yes, Okay, we do very extensively the data from
Speaker 3: an anonymous point of view, but we are also very
Speaker 3: of the fact that depending on where we put these
Speaker 3: censors we can collect the data. There are a lot
Speaker 3: of biases also getting introduced into the system, so there
Speaker 3: is always some sort of judgment that comes from the
Speaker 3: officers there. Whether the model is really reasonably unbiassed is
Speaker 3: always a challenge which we've been tackling on a regular basis.
Speaker 3: For example, we know how to product the traffic. We
Speaker 3: even know where most of the vehicles are stolen and
Speaker 3: where to get tratory them and and what atom and everything.
Speaker 1: Is one coming up next on Technically Speaking and Intel Podcast.
Speaker 3: There's a huge appetite in public infrastructure to adopt technology.
Speaker 3: I think we need to focus more and more on
Speaker 3: affordable use cases.
Speaker 1: We'll be right back after a brief message from our
Speaker 1: partners at Intel, Welcome back to Technically Speaking, an Intel Podcast.
Speaker 1: I'm here now with Ashishiadav and Javis Rama Krishna. I'll
Speaker 1: switch now a little bit to perhaps a real world
Speaker 1: case study. JVS. You live in Hyderabad, incredibly busy city
Speaker 1: in India. I'd like you to introduce the city to
Speaker 1: the audience and how many people live there, How do
Speaker 1: you describe the city, and maybe a bit of a
Speaker 1: day in a life of a typical resident and some
Speaker 1: of the challenges that they face.
Speaker 3: Absolutely, absolutely, that's been my favorite subject for some time.
Speaker 3: Hyderabad is one of the upcoming, fastest growing city in
Speaker 3: Asia and it is in the southern part of the
Speaker 3: India give and take maybe more than a ten million population.
Speaker 3: But it has got two distinct qualities. One part of
Speaker 3: the city is foreign years old legacy city. The other
Speaker 3: part of the city is akin to probably a San
Speaker 3: Francisco or Perth. So what we're able to do is
Speaker 3: we planned almost I think ten thousand cameras and one
Speaker 3: hundred thousand community cameras to be brought into one network.
Speaker 3: There's a huge, massive command center that didn't put in
Speaker 3: from the security point of which is very normal in
Speaker 3: any city. But what is more important areas the city
Speaker 3: has taken a view of to do more and more
Speaker 3: use AA from the safety point of view, to identify
Speaker 3: the hotspots and coordinate with the first responders at patrolling
Speaker 3: vehicles to go on time and all. So what I
Speaker 3: should tell you is that in the whole process using
Speaker 3: AA and the core technology, they were able to improve
Speaker 3: on first responders time to average to around eight minutes
Speaker 3: from us by fifteen to twenty minutes. Very important. The
Speaker 3: safety parameters so are so well monitored by the government.
Speaker 3: I think that's a plus point for the city. The
Speaker 3: crime rates have come down. Second part is on the
Speaker 3: traffic side. A lot of work has gone into master planning,
Speaker 3: especially in the new part of the city and almost
Speaker 3: around two hundred and twenty five intersections we're having traffic
Speaker 3: enforcement technologies could be a red light violation, speed and
Speaker 3: all camera based, vision based analytics and also to really
Speaker 3: identify the the patterns of their traffic and help their
Speaker 3: transportation planning. We are even putting close to one hundred
Speaker 3: and seventifare intersections the ATYCC cameras which do the traffic
Speaker 3: classification and content. This actually helped us to give a
Speaker 3: real time congestion index in every arm of the intersection. Okay,
Speaker 3: so the number of possibilities are very using technologists. But
Speaker 3: all of these things use vision, they use edge compute,
Speaker 3: they use air.
Speaker 1: AI technology didn't just help city officials in Hyderabad deal
Speaker 1: with issues of traffic and congestion. It also allowed the
Speaker 1: city to share infrastructure information across various agencies so that
Speaker 1: they could improve the safety, security, and quality of the
Speaker 1: utility companies. City officials can also plan better for big
Speaker 1: events like how many cars and how many people will
Speaker 1: stream into their city on any given day, and they
Speaker 1: can prepare accordingly to ensure greater public safety for everyone involved.
Speaker 1: And all of those insights, it's a dependent on AI.
Speaker 1: Going back to the technology in the solution, JVS, you're
Speaker 1: part of the L and T Technology Services which actually
Speaker 1: created the LTTS Fusion platform. Can you tell us a
Speaker 1: little bit about that platform and what role Intel played
Speaker 1: in its AI functionality.
Speaker 3: Sure. What we've found is that there are many applications
Speaker 3: IT applications which are coming in trying to solve a
Speaker 3: traffic problem or trying to solve this safety problem and
Speaker 3: so on. But at a city level, when we started
Speaker 3: analyzing so many cities, we found that you need to
Speaker 3: have a platform which can actually try to get the
Speaker 3: insights out of geospecial data, video data, structured data all
Speaker 3: together and generate some insights or recommendations to the operator there.
Speaker 3: So we have got into this act created what we
Speaker 3: call Fusion its LTTUS platform. So this platform has got
Speaker 3: feature of developing applications on the top of it, could
Speaker 3: be traffic, to be safety or could be multi agency operations.
Speaker 3: Video ingestion has been the core technology for US, which
Speaker 3: is where we have been working with Intel. Most of
Speaker 3: our infrastructure runs on Intel architecture here and it's quite
Speaker 3: useful from that perspective. But what we're also trying to
Speaker 3: do now in North America is we started working with
Speaker 3: Intel primarily to use some of the confondents like Getty
Speaker 3: and Sceinscape to actually do a lot of edge side analytics,
Speaker 3: especially from the highwast point of view, and we get
Speaker 3: the insights and on the top of it, we are
Speaker 3: now able to put in a Fusion platform from the
Speaker 3: command center point of view, which will through analytics, which
Speaker 3: will do sort of business rules or can throw recommendations
Speaker 3: on the top of it.
Speaker 1: And when you're implementing it, what's the top challenge you've faced?
Speaker 3: There is a big need in this part of the
Speaker 3: world in this type of traffic to have a green
Speaker 3: channel for any ambulance going in. We have tried a
Speaker 3: lot of technologies to really communicate using radios wherein the
Speaker 3: ambulance goes and then the signal turns green, and so
Speaker 3: on and so forth. But the challenge is considering the latencies,
Speaker 3: considering the infrastructure of word we are. It didn't really
Speaker 3: scale the way we want. Probably technologies like Fiji will
Speaker 3: ease out to some extent, but there is still the
Speaker 3: challenge in terms of clearing the people from the intersection
Speaker 3: in this part of the world, after it turns green,
Speaker 3: is still going to be on the grown. There's a
Speaker 3: huge appetite in public infrastructure to adopt technology. I think
Speaker 3: we need to focus more and more on affordable use cases.
Speaker 1: And this is actually now question for both of you,
Speaker 1: how do you see ten years in the future given
Speaker 1: the growth and speed of technology development as well as
Speaker 1: societal changes and being more adoptive of these sorts of technologies.
Speaker 1: It's just where do you think we're going to be
Speaker 1: in ten years time?
Speaker 4: So cram in ten years not just technology challenges. We're
Speaker 4: going to have these natural resource challenges that are going
Speaker 4: to intensify, so using them efficiently is going to be
Speaker 4: one of the key challenges. Let's talk with very basic
Speaker 4: things water energy. The usage is something that you see
Speaker 4: cities saying if you water your gardens, you will be penalized.
Speaker 2: Still, you go for a.
Speaker 4: Walk on the sidewalk, you see overflowing gardens with water
Speaker 4: and lush green grass. So you can definitely have observation
Speaker 4: units that can send data to cities. Especially in a
Speaker 4: country like United States, you cannot have people resources patrolling
Speaker 4: from the city, so you certainly can have sensors that
Speaker 4: can send the data to city. You can certainly have
Speaker 4: energy efficiently being used in terms of renewable energy. If
Speaker 4: some areas are producing excess energy, it can be diverted
Speaker 4: to other areas which need more, and you can have
Speaker 4: tabs on which areas use and why, and you can
Speaker 4: even go to the extent of making those appliances more
Speaker 4: energy efficient based on the analytics. So, in my opinion,
Speaker 4: energy is going to be a key factor in terms
Speaker 4: of how we will see the world change in next
Speaker 4: ten years. Technology will continue to grow, we have to
Speaker 4: channelize it towards how do we make it more efficient
Speaker 4: so that we use minimal without impacting the quality of life.
Speaker 1: For people JIVS. Whe do you see ourselves in ten years.
Speaker 3: The biggest challenge is going to be because of the
Speaker 3: limited resources on the planet. I think sustainability is the
Speaker 3: way I think all of us actually we have to
Speaker 3: spend a lot of time and energy and money in
Speaker 3: the technology supporting sustainability, either in terms of environment, water, power,
Speaker 3: renewable sources, and so on and so forth. While we are
Speaker 3: talking about all these things, I think what also comes
Speaker 3: to my mind is the cybersecurity is going to be
Speaker 3: an extremely important aspect. The more connected we are in
Speaker 3: the more the cybersecurity is going to disup the way
Speaker 3: we do and our habits down the line. I think
Speaker 3: these are the two things which are going to change
Speaker 3: the way we live.
Speaker 4: And living in the United States. In case you are
Speaker 4: hit with some natural disaster. The quick recovery in terms
Speaker 4: of using the technology to ensure that the areas can
Speaker 4: be brought up quickly. That's another thing that technology will
Speaker 4: play a big role in.
Speaker 1: Yeah, and I like the fact that you know, we
Speaker 1: have talked about the big cities, but also talked about
Speaker 1: some of the technology going to the smaller cities. And
Speaker 1: I think that's what it's all about, is the technology
Speaker 1: being able to be diffuse to all corners of the planet.
Speaker 1: And just with that, I think we'll leave it this.
Speaker 1: I thank you so much for your time.
Speaker 2: And JBS listening to you.
Speaker 4: I would like to visit Hyderabayt the next time I'm
Speaker 4: in India.
Speaker 3: You are welcome, Ashish, I think you should visit. The
Speaker 3: way they are doing seeing is believing.
Speaker 1: All right. Thank your Shish, Thank you, JVS.
Speaker 2: Thank you what pleasure talking to both of you.
Speaker 3: Thank you Graham for the time and ashes. Thank you
Speaker 3: pleasure meeting you all.
Speaker 1: Thank you to A SHOESH and JVS for the insights
Speaker 1: to today's episode of Technically Speaking. Many of you listening
Speaker 1: to this podcast will have experienced the frustrations of city
Speaker 1: traffic stuck on freeways, roundabouts, and intersections. My takeaway from
Speaker 1: this discussion is that using the new advances in low cost,
Speaker 1: low power, highly efficient edge devices will reduce the time
Speaker 1: spent commuting in your car. Think about it this way.
Speaker 1: If the adoption of smart city technologies saves you just
Speaker 1: ten minutes a day or five minutes each way in commuting,
Speaker 1: the time saving will compound and mean an extra full
Speaker 1: week to spend with your family and friends per year.
Speaker 1: According to the World Bank, currently fifty six percent of
Speaker 1: the world's population live in cities. This is projected to
Speaker 1: increase to seventy percent by twenty forty five. I believe
Speaker 1: that city is with a high livability score will attract
Speaker 1: the best talent and the best investment if they can
Speaker 1: utilize their new trends in AI, edge devices and computing
Speaker 1: techniques to improve the life of residence. As with all technology,
Speaker 1: privacy protections of the individual must be topmost in mind,
Speaker 1: as we may fall into an unwonted scenario of feeling
Speaker 1: like we're always being watched. However, I am confident that
Speaker 1: if we continue to examine and discuss the potential of
Speaker 1: smart city technology and use AI ethically, we will see
Speaker 1: metropolises from all corners of the globe continue to grow
Speaker 1: and prosper. Join us again on Tuesday, June fourth, we'll
Speaker 1: be exploring the technologies impacting the future of retail. Technically
Speaker 1: Speaking was produced by a Ruby Studio from iHeartRadio in
Speaker 1: partnership with Intel and hosted by me Graham Class. Our
Speaker 1: executive producer is Molly Socio Our EP of post production
Speaker 1: is James Foster, and our supervising producer is Nikir Swinton.
Speaker 1: This episode was edited by Sierra Spreen and written by
Speaker 1: Nick Firshaw.