Speaker 1: Nobody better than you who can tell us how do
Speaker 1: you bridge real world with the digital world and what
Speaker 1: you've been doing worldwide and how things are getting transformed.
Speaker 2: Back in India, the first telegraph line was drawn between
Speaker 2: Calcutta and London and that is a story in itself.
Speaker 2: The scale at which India is being growing.
Speaker 3: Is completely unprecedented.
Speaker 2: Thirty seven thousand kilometers of rail network have been electrified
Speaker 2: in the last seven years.
Speaker 3: Let we put that in context.
Speaker 2: That's equivalent to the entire rail network of Germany from
Speaker 2: five hundred and twenty thousand circuit kilometers to over a
Speaker 2: million circuit kilometers. There's nowhere else that anything like this
Speaker 2: is happening at an unprecedented pace.
Speaker 1: When we talk about AI automation in smart factories, how
Speaker 1: you are going to be implementing it in industries? What
Speaker 1: is the end impact that you are also looking at.
Speaker 2: When we went from the bicycle to the motor car,
Speaker 2: jobs changed. When we went from the motor car to
Speaker 2: the aeroplane, jobs change. When we went from the fax
Speaker 2: machine to the telex machine to the internet, productivity change.
Speaker 3: I think it's now.
Speaker 2: Exciting times and you will see a lot happening in
Speaker 2: Siemens in the year's.
Speaker 1: Ed Hello on and welcome. You're watching Business Today television.
Speaker 1: I'm Sakhalibatryan. This is the Business Today podcast. Today we
Speaker 1: bring to you a brand that has one hundred and
Speaker 1: sixty years history. It is often known as an Indian
Speaker 1: company with a German heritage. The legacy brand called Semens India.
Speaker 1: We're going to be talking about it. The company that
Speaker 1: has twenty five factories. It also is silently transforming our
Speaker 1: everyday life. When we look at it every day, when
Speaker 1: you take that travel from a mainrail network, twenty five
Speaker 1: percent of that is powered once technology. In fact, forty
Speaker 1: percent of our metro cities as well run on Semens
Speaker 1: technology as well. And right now we're looking at how
Speaker 1: Semens is rewriting the entire India's mobility story, infrastructure and
Speaker 1: industries as well in the era of automation and AI.
Speaker 1: We're going to be diving deep into what next is
Speaker 1: coming in and how Semens is going to be of
Speaker 1: course taking the part into India's future growth story. Let's
Speaker 1: welcome the person with us from Semens India, none other
Speaker 1: than mister Sneil Marthur, the MD and CEO of Semens
Speaker 1: in there. We welcome to you, sir, and thank you
Speaker 1: so much for coming in onto us studios.
Speaker 3: Thank you for having miss Actually.
Speaker 1: It's a wonderful pleasure to have you with us and
Speaker 1: to talk about this legacy brand. You know, when we
Speaker 1: talk about, nobody better than you who can tell us
Speaker 1: how do you bridge real world with the digital world
Speaker 1: and what you've been doing worldwide and how things are
Speaker 1: getting transformed back in India. Could you give us a
Speaker 1: sense of how are you doing what you are and
Speaker 1: how is it really impacting everyone on ground today?
Speaker 2: Absolutely, Thank you so, Stevens. As you rightly mentioned, we've
Speaker 2: been here for almost one hundred.
Speaker 3: And sixty years.
Speaker 2: In fact, the first telegraph line was drawn between Calcutta
Speaker 2: and London and that is a story in itself, so
Speaker 2: we've had a long history over here. Over the years,
Speaker 2: we've been very much integrated into the growth story of India,
Speaker 2: and in fact that has accelerated, as we all know,
Speaker 2: in the last ten or fifteen years, with a lot happening,
Speaker 2: particularly in the area of energy and infrastructure and now
Speaker 2: opening up into the private world. The scale at which
Speaker 2: India is being growing is completely unprecedented. Thirty seven thousand
Speaker 2: kilometers of rail network have been electrified in the last
Speaker 2: seven years. Let me put that in context. That's equivalent
Speaker 2: to the entire rail network of Germany.
Speaker 3: Wow.
Speaker 2: Right, we plan to double our energy capacities, right, five
Speaker 2: hundred gigawards in the country to over one thousand gigawards
Speaker 2: in the next seven.
Speaker 3: Or eight years.
Speaker 1: Wow.
Speaker 2: We plan to double our transmission capacities in the country
Speaker 2: from five hundred and twenty thousand circuit kilometers to over
Speaker 2: a million circuit kilometers. There's nowhere else said anything like
Speaker 2: this is happening at an unprecedented pace. Ninety airport's built
Speaker 2: in the last seven years, sixty more coming in the next.
Speaker 3: Five years, so it is huge. What's happening now.
Speaker 2: We are known as a country as being entrepreneurs and
Speaker 2: leapfrogging technologies all the time. We leapfrog the technology from
Speaker 2: landline to mobile, We leapfrog the technology from credit card to.
Speaker 3: UPI.
Speaker 2: And this is the opportunity for us to leap frog
Speaker 2: into the AI world. And this is what makes it
Speaker 2: so exciting. Physical infrastructure is inert without a digital nervous system,
Speaker 2: and that is what we help bring to the table. Right,
Speaker 2: we can enable India's high speed growth through digital infrastructure,
Speaker 2: bringing in digitalization, bringing in AI, so that the infrastructure
Speaker 2: becomes alive and is actually able to provide the greatest
Speaker 2: benefits to the users in the country. So I think
Speaker 2: that it's exciting times ahead of us, but energy and
Speaker 2: infrastructure and the AI is going to completely transform the
Speaker 2: way we live our.
Speaker 1: Lives here fantastic. I think everybody is talking about AI
Speaker 1: quite a bit, but there's a lot of fear around
Speaker 1: AI even now, you know, despite it being the biggest
Speaker 1: buzzword of the last couple of years. The big fear
Speaker 1: is that it's going to be disrupting technology in a
Speaker 1: way that you know, a lot of humans might lose
Speaker 1: their jobs. When we talk about AI automation in smart factories,
Speaker 1: how you are going to be implementing it in industries?
Speaker 1: What is the end impact that you are also looking at?
Speaker 2: So I think, you know, I am much more positive
Speaker 2: and much more optimistic on the question of jobs. I
Speaker 2: think jobs will change. They won't go away, but jobs
Speaker 2: will change. The nature of jobs will change. When we
Speaker 2: went from the bicycle to the motor car, jobs changed
Speaker 2: when we went from the motor car to the aeroplane,
Speaker 2: jobs change and productivity changed and growth rates changed. Right,
Speaker 2: so things became much faster, much more efficient. When we
Speaker 2: went from the fax machine to the telex machine to
Speaker 2: the internet, productivity change and we became much more efficient
Speaker 2: and we were able to do much more with less
Speaker 2: in a way.
Speaker 3: And I think that's what's going to happen with the AI.
Speaker 2: It will open up avenues for us that never existed yesterday.
Speaker 2: It will open up opportunities for us, but it will
Speaker 2: also challenge us to continuous learning, so we will need
Speaker 2: to upscale ourselves. And this is not something that is
Speaker 2: going to change overnight.
Speaker 3: I think this is going.
Speaker 2: To be an evolutionary process where AI will creep into
Speaker 2: every bit of our day to day lives. We will
Speaker 2: begin to realize, hey, this makes sense for me. This
Speaker 2: is able to bring more benefits for me, for my factory,
Speaker 2: for my workplace, and we will start adopting it much more.
Speaker 2: And that's what we are actually centralized doing within Siemens
Speaker 2: as well. You know, when you talk about jen AI,
Speaker 2: you're looking more at information language models where if they're
Speaker 2: ninety five percent accurate, it doesn't really matter, right, you
Speaker 2: may get some inconsistencies in your statements. But on the
Speaker 2: industrial side, you can't be ninety five percent. You've got
Speaker 2: to be one hundred percent right, because if you're not
Speaker 2: one hundred percent accurate, you could have a production line
Speaker 2: that stops, you could have an energy grid that trips,
Speaker 2: you could have a train that stops on the way.
Speaker 2: And this is the way AI is going to impact
Speaker 2: our lives. But on the other hand, this is the
Speaker 2: opportunity for AI to start bringing in greater benefits for us.
Speaker 1: Absolutely. You know, there's this picture that all of us
Speaker 1: imagine that you know, maybe just about a few years
Speaker 1: from now, we'll have factories that will be run by robots,
Speaker 1: you know, which will be functioning instead of humans. Do
Speaker 1: you think something of that sort is going to happen
Speaker 1: or is there another way how AI is going to
Speaker 1: be implementing what happens at factories.
Speaker 2: So I don't think we are yet at the stage,
Speaker 2: and I think we are a long way off from
Speaker 2: dark factories as they call them, where they run on
Speaker 2: their own. But again, over there things are happening in
Speaker 2: the AI and in the software world that are bringing
Speaker 2: in greater efficiencies. So, you know, you talk about hardware,
Speaker 2: energy electrification, bringing in hardware machines that run on electrification,
Speaker 2: and then you have automation that controls the processes and
Speaker 2: manufacturing processes from the shop flow, and then you have
Speaker 2: software that actually takes it to the next level, is
Speaker 2: able to create a nervous system that enables these hardware
Speaker 2: to work my much more efficiently. And then you've got
Speaker 2: AI which is way on top of that, which allows
Speaker 2: all of this to work on its own and to interact.
Speaker 2: So you can have a building which is getting energy
Speaker 2: in from the grid, where the energy is adjusted through
Speaker 2: the use of AI depending on the consumptions that you require.
Speaker 3: In the factory.
Speaker 2: Your automation on the factory floor designs the way your
Speaker 2: machines move, but at the same time it adjusts and
Speaker 2: ensures that AI supports you in making those machines much
Speaker 2: more efficient, in ensuring that your inventory controls are better done,
Speaker 2: in ensuring that you're much more flexible in preempting trends
Speaker 2: that are coming in. In integrating and this is the
Speaker 2: beauty of it. If you can integrate electrification, automation and
Speaker 2: digitalization onto one platform, that's when you can crack the code,
Speaker 2: so to speak. And that is what Semens is able
Speaker 2: to do probably the only company in the world that
Speaker 2: has an integrated platform as a one tech company that
Speaker 2: integrates the electrification, automation and digitalization.
Speaker 1: I'm sure a lot of your customers would be looking
Speaker 1: at that as a package deal and looking at that
Speaker 1: how end to end solutions can be brought into them
Speaker 1: just by one company. So when your customers come to you,
Speaker 1: what is it that they ask?
Speaker 2: So the conversation has changed. It's a very good question.
Speaker 2: Conversation has changed. Earlier you used to go to your
Speaker 2: customer and say, here's my product, by my product, correct, right,
Speaker 2: And now we can go to the customer and we
Speaker 2: can say, tell us, your customer, what is your biggest challenge?
Speaker 3: Yeah, and he.
Speaker 2: Turns around and he says, wastage is my challenge or
Speaker 2: energy is my challenge.
Speaker 3: Let me give you some examples.
Speaker 2: Forty percent of the cost of running a hotel fixed
Speaker 2: cost of running a hotel is energy cost. And if
Speaker 2: you can bring down that energy cost, that helps the
Speaker 2: whole tail operator. Sixty percent of running a cement plant
Speaker 2: is energy cost. Now the cost of one bag of
Speaker 2: cement is half the price of one bag of Ruddi newspapers. Right,
Speaker 2: So now imagine if you can save ten percent of
Speaker 2: his energy that goes straight to his bottom line, right,
Speaker 2: And this is where you can actually do that.
Speaker 3: Now.
Speaker 2: If you can short cycle the time from drug research
Speaker 2: to drug commercial manufacturing, right, that saves lives. If you
Speaker 2: can make travel more efficient, that enables people to move
Speaker 2: around the world. And this is the power that AI has.
Speaker 2: This is the power linking in hardware and software, combining
Speaker 2: the virtual and the real has really on.
Speaker 3: Day to day lives of people absolutely, and of industries.
Speaker 1: That's a very interesting point when we talk about how
Speaker 1: India is envisioning where we want to focus our energies.
Speaker 1: Over the last couple of years, we've seen infrastructure and
Speaker 1: manufacturing two growth engines that India's policies are focused on,
Speaker 1: and that's where a lot of money is flowing into
Speaker 1: as well. There is a lot of growth on the
Speaker 1: overall GDP coming in from these two pockets as well.
Speaker 1: Give us an understanding, how are you contributing in these
Speaker 1: two mega spaces that India's focused Absolutely, so.
Speaker 2: I spoke earlier about the major increase in energy and
Speaker 2: India's plan is to do that in a green manner
Speaker 2: and to bring in much more renewables into the mix
Speaker 2: of energy here in the country. We want to be
Speaker 2: fifty percent renewable energy in the country. Now, that means
Speaker 2: the grid becomes unstable, right, and the moment you have that,
Speaker 2: you need to stabilize the grid. Because you don't have
Speaker 2: sun the whole day long, you need to have it
Speaker 2: in at night, the different weather conditions, et cetera.
Speaker 3: And you need tools to stabilize the grids.
Speaker 2: You need the electricity to come into your homes and
Speaker 2: to your offices and into your workplaces, into your factories.
Speaker 2: Now very often, very simply put in the morning, everybody
Speaker 2: moves from their homes to their workplaces, and energy and
Speaker 2: the air conditioning system switch off at home, and you
Speaker 2: need complete different power for your workplaces and your factories.
Speaker 2: So rather than having double the energy consumption energy at home,
Speaker 2: generating an energy in your workplace, wouldn't it be ideal
Speaker 2: to move the energy from one part of the city
Speaker 2: to the others when there is a need over here
Speaker 2: and move it back in the evening, right, And this
Speaker 2: is where smart drids come into account. Grids that can
Speaker 2: sense weather conditions, can can sense usage patterns, that can
Speaker 2: predict the way consumption is actually going to have and
Speaker 2: that is the beauty of where trends in AI and
Speaker 2: software and engineering can be used in the energy You
Speaker 2: look at the manufacturing sphere, India's ambition is to go
Speaker 2: from fifteen percent of GDP manufacturing share to twenty five
Speaker 2: percent of GDP manufacturing. That's one and a half trillion
Speaker 2: dollars of CAPEX coming in in the next five to
Speaker 2: seven years. There's no other country in the world that
Speaker 2: I know of that has got plans as ambitious as that.
Speaker 2: But as you go up the food chain in manufacturing,
Speaker 2: you get more and more complex manufacturing coming in semiconductors.
Speaker 3: Batteries, fuel cells.
Speaker 2: This requires technology at a precision level, which is way
Speaker 2: above what normal manufacturing will be. Right now, the average
Speaker 2: productivity level in India is seventy five percent. We have
Speaker 2: a factory in Germany that has a productivity level of
Speaker 2: ninety nine point nine nine percent. Now, there's no way
Speaker 2: you can bridge twenty five percent productivity benefit just through
Speaker 2: skilling workers. Correct right, technology will be the only enabler,
Speaker 2: and this is where we are able to bring technology
Speaker 2: that starts from the design phase to the engineering phase
Speaker 2: to the manufacturing phase and link it all together. We've
Speaker 2: just launched a major application called the eigen Engineering and
Speaker 2: this is this is a tool that helps engineers design,
Speaker 2: manufacture and a design engineer and operate PLCs. These are
Speaker 2: programmable logic controllers that design the automation systems on the
Speaker 2: shop flop. Normally, this is a very complex process, takes
Speaker 2: a lot of time, et cetera. But you can now
Speaker 2: interlink all of that into one with a single tool
Speaker 2: with one hundred percent accuracy because you need one hundred
Speaker 2: percent productivity. And this is use design. This is done
Speaker 2: using physics based models, It is done using experience out
Speaker 2: of multiple layers. And the foundation models over there are
Speaker 2: completely different and require a lot of.
Speaker 3: Engineering work to create.
Speaker 2: But those are the kind of things that can be done,
Speaker 2: and those are the kind of things that will make
Speaker 2: India really competitive. Sure, because a twenty five percent cost
Speaker 2: gap is it may even be cheaper to manufacture in
Speaker 2: Europe than it is to manufacture in India. The only
Speaker 2: way we can be competitive is if we are able
Speaker 2: to bridge that gap of twenty five percent through technology.
Speaker 1: Absolutely, so, when we talk about industrial AI, I wanted
Speaker 1: you to help all our viewers understand where is it
Speaker 1: that you are helping reduce costs, improve productivity, and enhance efficiency.
Speaker 1: Is it an all three? Is it greater in some
Speaker 1: area or the other way?
Speaker 3: So they're all interlinked. All the issues that you mentioned
Speaker 3: are interlinked.
Speaker 2: And I'll bring in a fourth dimension which we should
Speaker 2: also discuss, and that is sustainability correctly right, which is
Speaker 2: use less resources and use less energy.
Speaker 3: So that adds the complexity to the cube. Right.
Speaker 2: You want to be flexible in a world which is
Speaker 2: very volatile where demands are not really known.
Speaker 3: You want to be flexible.
Speaker 2: You want to be productive, so your productivity levels have
Speaker 2: to be the highest, and you need to be in
Speaker 2: a way that your quality standards are world class while
Speaker 2: being sustained having a sustainable product. The only way to
Speaker 2: do that is through sustainability is through AI and industrial
Speaker 2: AI as we call it. And how does that really happen?
Speaker 2: As I said, you've got a building which is a factory.
Speaker 2: You want to use as optimal amount of energy that
Speaker 2: you actually need for the manufacturing operations, and AI can
Speaker 2: help you optimize the energy consumption there bringing in the
Speaker 2: energy onto the shop floor. Then you need to be
Speaker 2: able to design the product, design the machines, design and
Speaker 2: engineer the manufacturing process. And then you want it to
Speaker 2: loop back and do corrections on its own as the
Speaker 2: productive production process actually works. And that's what industrial AI
Speaker 2: can do. So now you can actually go into a
Speaker 2: digital world, what we call the virtual world. You can
Speaker 2: design a product, you can design and engineer the machines,
Speaker 2: You can design and engineer the entire manufacturing process, including
Speaker 2: what angle people need to bend over in order to manufacture,
Speaker 2: where their tools need to be put. And then you
Speaker 2: can have a walk through through through augmented reality to
Speaker 2: actually see how things are. You can decide you want
Speaker 2: the air conditioning at a different part of the building,
Speaker 2: et cetera, et cetera. And this entire process is not
Speaker 2: done just through CADCM models. This is physics based manufacturing,
Speaker 2: physics based models that you actually create. Once you have
Speaker 2: built it in the virtual world, you then start constructing
Speaker 2: it in the real world right, and that helps you
Speaker 2: because you have simulated it, because you have done all
Speaker 2: your testing on in the virtual world, you get it
Speaker 2: right first time in the real world. Now that brings
Speaker 2: you up to fifty times fifty percent faster to the
Speaker 2: market than you would normally do. And with the highest
Speaker 2: level efficiencies. You get it first time, rightolutely, and then
Speaker 2: you link the virtual models with your real manufacturing together,
Speaker 2: so that every time you want to make a tweak,
Speaker 2: you first test it and do it in the virtual world,
Speaker 2: and then you do it in the real world.
Speaker 3: And you know what the.
Speaker 2: Impact of everything that you do will be because you've
Speaker 2: tested it and simulated it in the virtual world, and
Speaker 2: then you can put it into the real world. And
Speaker 2: when you are able to link these two together, you
Speaker 2: are able to slowly raise the optimization levels of productivity
Speaker 2: because now you can test everything on the virtual world
Speaker 2: and then bring it to life in the real world. Now,
Speaker 2: sometime down the line, you realize, hey, I've got a
Speaker 2: productivity problem. I used to manufacture one hundred pieces. I'm
Speaker 2: down to ninety five. Why did that happen? Yeah, then
Speaker 2: you can go back into the virtual world and see
Speaker 2: where rewind the tape and say, on this date, at
Speaker 2: this time a software upgrade to a robot did not happen.
Speaker 3: As a result of that, the efficiency.
Speaker 2: Went down on that robot, but that had a knock
Speaker 2: on efficiency level all through the all through the manufacturing chain.
Speaker 2: And this is where you can then start getting more efficient.
Speaker 2: When you get the machines to start learning and have
Speaker 2: cognitive capabilities, they start improving themselves as well.
Speaker 3: And this is the future of manufacturing.
Speaker 1: Well, this is the marvel of engineering and automation. Absolutely
Speaker 1: very interesting ideas there. But you talked about something very
Speaker 1: important and that is sustainability, which is now I believe
Speaker 1: no more an option for a lot of industries, companies,
Speaker 1: businesses at large. They have to be sustainable. How are
Speaker 1: you helping your customers, you know, when they are of
Speaker 1: course looking at investing big in these new AI automation
Speaker 1: tools and adopting them at a scale at their businesses,
Speaker 1: how are you helping them ensure that they also do
Speaker 1: this sustainably.
Speaker 3: Well, we do this in three ways. We help our customers.
Speaker 2: First measure what their what their emission levels are, then
Speaker 2: we help them manage them, and then we help them
Speaker 2: monetize them.
Speaker 3: So measure, manage, and monetize. And what does that really.
Speaker 2: Mean when we can help our customers optimize their energy usage?
Speaker 2: I mean, the best, the best energy, green energy is
Speaker 2: the energy that you don't use, right, But if you
Speaker 2: do have to use energy, can we help you monetize?
Speaker 2: Can we help you optimize that energy. And this is
Speaker 2: where it becomes critical in a building, for example, there
Speaker 2: are energy, there's energy being used everywhere for a whole
Speaker 2: lot of stuff.
Speaker 3: Can we help you give you the visibility.
Speaker 2: Of where a pump or a valve or a light
Speaker 2: somewhere is running inefficiently. Right, So we have a command
Speaker 2: and control center here in Mumbai where we are controlling
Speaker 2: the energy consumption out of one room, not a very
Speaker 2: large room, but controlling the energy consumption, monitoring the energy
Speaker 2: consumption in close to one thousand, two hundred seamen's offices
Speaker 2: around the world, in one hundred and ninety countries.
Speaker 3: Now what does that mean.
Speaker 2: It means I can compare that there is energy consumption
Speaker 2: in country A, which has got a bit in our
Speaker 2: office over there, which has got one hundred people in it,
Speaker 2: consuming so much energy, and compare it with country B,
Speaker 2: which has also got one hundred people, but consuming much more.
Speaker 2: And then you go back and you say why is
Speaker 2: it consuming more? And you drill down and you say
Speaker 2: it's consuming more because there's a leakage in the air
Speaker 2: conditioning system there, or there are lights that have been
Speaker 2: on in conference rooms longer than they should have. And
Speaker 2: then you bring in interventions that start saving that. In
Speaker 2: some countries you have daylight saving, so you can actually
Speaker 2: time the consumption of energy based on on the on
Speaker 2: the time of day, you know, and the rates tariff
Speaker 2: rates based on time of time of day over there.
Speaker 2: So there are a lot of measures like that that
Speaker 2: start on the on the energy side. Resource efficiency is
Speaker 2: the other part of sustainability. How can we optimize the
Speaker 2: resources that we have, because the more resources you have.
Speaker 3: The more non sustainable you are.
Speaker 2: So and this is where optimization in the manufacturing floor
Speaker 2: becomes critical. This is where it becomes super important to
Speaker 2: ensure the more efficient are in manufacturing, the more you
Speaker 2: are able to produce more with less, and that comes
Speaker 2: through technology and AI and.
Speaker 1: Everything linked to that absolutely, you know, I also wanted
Speaker 1: to ask you a lot of businesses and companies have
Speaker 1: already understood that this is the time that they have
Speaker 1: to go big on AI and automation, but a lot
Speaker 1: of them are still experimenting, but they haven't been able
Speaker 1: to ensure that they can use the current experiments pilot
Speaker 1: stages and implement it at a scale. Where do you
Speaker 1: come in there and how are you helping companies to
Speaker 1: you know, shift from a pilot stage to implement on scale.
Speaker 3: No.
Speaker 2: And that's a very important point because it is natural
Speaker 2: to be hesitant to introduce something when things are working
Speaker 2: relatively okay already. And the answer is simply, you don't
Speaker 2: have to do everything all at one time, right. You
Speaker 2: can slice elephants, so to speak, into small bits and say,
Speaker 2: let's start with this part of our operations and see
Speaker 2: whether AI and everything linked to it can can bring
Speaker 2: us efficiencies over there. There has to be a business
Speaker 2: case for it, and then you expand it to the
Speaker 2: next and the next and the next. India sixty million
Speaker 2: small and medium enterprises and this is something that they
Speaker 2: need to do because it is critical for them to
Speaker 2: be competitive. It is critical for a small and medium
Speaker 2: enterprise who is linked into a supply chain of a
Speaker 2: larger company to be completely integrated into the efficiencies of
Speaker 2: that of that supply chain. And the only way they
Speaker 2: can do it is through industrial AI. And therefore, I
Speaker 2: think the way to start is take it bit by
Speaker 2: bit by bit, and there are business cases that can
Speaker 2: be done. We have, for example, a platform called EMANS
Speaker 2: Accelerator okay, and this is a platform where it is
Speaker 2: an open platform, so everybody can participate. It is interoperable,
Speaker 2: so it's not linked only to our products, et cetera,
Speaker 2: you know, and it can anybody can come on. You've
Speaker 2: got use cases on it. So I've got a problem.
Speaker 2: Let me see what's happening around the world. How have
Speaker 2: others been able to solve it using technology. I'm an
Speaker 2: automotive player. I've got a problem in what I'm doing.
Speaker 2: Let me see if there's others around the world have
Speaker 2: used technology, how.
Speaker 3: Have they done it?
Speaker 2: And then you can go in, you can see the
Speaker 2: use case and then say, hey, this makes sense for me.
Speaker 2: And then we have partnered with the series of partners,
Speaker 2: and we continue to partner with people who turn around
Speaker 2: and say we've implemented this solution, so we can introduce
Speaker 2: them to them, and then you can decide do you
Speaker 2: want to do it with a partner, do you want
Speaker 2: to do it with our own And then we've got
Speaker 2: the products there which you could use our products, you
Speaker 2: could use anyone else's products. But effectively, this is a
Speaker 2: platform that enables small and medium enterprises to come up,
Speaker 2: see what is possible, and then take it to the
Speaker 2: next level.
Speaker 1: Absolutely, you know, I also wanted to understand what goes
Speaker 1: on next. We're already looking at how India is eyeing
Speaker 1: twenty forty seven as the time when India shifts to
Speaker 1: become a developed economy. So much of history, of course,
Speaker 1: for a company like yours, has seen the transformation of
Speaker 1: the country. You know, you've mentioned a lot of examples
Speaker 1: as well, and how we've seen the growth so far.
Speaker 1: But going from here to that twenty forty seven journey,
Speaker 1: what is it that it's exciting you the most. What
Speaker 1: is it that you're keeping on your top priority? How
Speaker 1: do you think Semens will be taking the part of
Speaker 1: India's future growth story?
Speaker 3: So let me put it this way.
Speaker 2: India has plans to digitalize its manufacturing, to get a
Speaker 2: smart manufacturing so to speak, right and to become a manufacturing.
Speaker 3: Up of the world.
Speaker 2: We have a business called Digital Industries. India has plans
Speaker 2: to modernize its railways and modernize its mobility systems. We
Speaker 2: have a business called Mobility. India needs smart infrastructure and
Speaker 2: is growing its smart infrastructure. We have got a business
Speaker 2: called smart Infrastructure. India wants affordable healthcare and Siemens has
Speaker 2: got Semens Health in yours, which brings in affordable healthcare.
Speaker 2: So I think we are well placed as a company
Speaker 2: to address all the vision that Semens has and India
Speaker 2: is working on this in a very measured manner. You
Speaker 2: can't go to manufacturing unless you have the foundation of
Speaker 2: infrastructure in place, and that foundation has started to be built.
Speaker 2: We've seen proof of it already in the last five
Speaker 2: seven years. The pace at which construction is happening in
Speaker 2: the country. Highways, airports, roads, freight corridors, railways are being
Speaker 2: built has been unprecedented anywhere else in the world. So
Speaker 2: India is focusing on the infrastructure. Once the infrastructure is robust,
Speaker 2: that's when manufacturing kicks in right, and this is where
Speaker 2: we will be able to leap frog into the latest technologies.
Speaker 2: And Indian entrepreneurs have demonstrated they can do it to
Speaker 2: use all these technologies that I've spoken about industrial AI
Speaker 2: in particular, to really make them much more competitive. And
Speaker 2: I think that's the exciting part. We are a country
Speaker 2: that is growing at a pace that has never been
Speaker 2: done before. We are a country that has got an
Speaker 2: ambitions to get to a level that has never been
Speaker 2: achieved before. We are for Semens, India is the fastest
Speaker 2: growing country in the Semen's world. So I think there's
Speaker 2: exciting times ahead of us. Technology is moving at a
Speaker 2: pace that has never been at which we are today,
Speaker 2: and I think put all of that together, we could
Speaker 2: never have been in a better spot as India than
Speaker 2: at this point in time. Look at the geopolitics where
Speaker 2: we are an oasis in the middle of everything else
Speaker 2: that's happening. So the world is really looking at India,
Speaker 2: and I do believe India's time has come.
Speaker 1: India's time has come. I think that's a fantastic note
Speaker 1: to end with, But I still want to ask you
Speaker 1: for your own aspirations at Semens India. What is it
Speaker 1: that you're penciling from here on? How are the next
Speaker 1: you know, half a decade or full decad going to
Speaker 1: pan out.
Speaker 2: We will be a part of India's growth story right
Speaker 2: there are.
Speaker 3: On.
Speaker 2: If I look at the mobility area, for example, the
Speaker 2: amount of high speed trains and Mount of one debars,
Speaker 2: the amount of signaling electrification that needs to be done,
Speaker 2: we will be a part of that. When you look
Speaker 2: at the smart infrastructure, the energy transition story that India
Speaker 2: is in, we will be a.
Speaker 3: Part of that. We will be central to that. When
Speaker 3: you look at.
Speaker 2: The manufacturing aspirations that India has and the fact that
Speaker 2: we want to be a major alternative manufacturing hub, we
Speaker 2: will be central to that. So I think we have
Speaker 2: got the foundations in place. We've got twenty five factories,
Speaker 2: as you mentioned, over forty thousand people in the country.
Speaker 2: We are a listed company in the country as well,
Speaker 2: so we are very well embedded in the ethos of
Speaker 2: the country. Our commitment to the country has been demonstrated
Speaker 2: one hundred and sixty years already, and we're very.
Speaker 3: Excited about the future.
Speaker 2: I've never had as much attention as I have right
Speaker 2: now from the global board of Semens, with all the
Speaker 2: support that we can get.
Speaker 3: So I think it's now.
Speaker 2: Exciting times and you will see a lot happening in
Speaker 2: Semens in the year's AAED already looking forward.
Speaker 1: Thank you so much for this fantastic conversation and all
Speaker 1: those insights. I wish you all the very best for
Speaker 1: the next one hundred and sixty years for an equal
Speaker 1: and more amount of exciting journey that you've had so far,
Speaker 1: and of course India is looking at companies like yours
Speaker 1: to of course lead it from the front.
Speaker 3: Thank you so much for being with us, Thank you
Speaker 3: for having me