Manufacturers are Seizing the AI Opportunity
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Manufacturers are Seizing the AI Opportunity

September 1, 2019


(upbeat music) – It’s interesting as
you walk the floor here. there are robots, there’s drones. What you don’t see is the data that is informing all of the robotics and the artificial intelligence. Tell me about the project
that you’ve overseen, the Swarm project at Toyota. How that started and how it’s evolved? – Our customers, and this is no news, are living in exponential times. They’re having explosive change coming to their whole supply chain, and that’s where we from
Toyota Material Handling have the focus onto. We’re seeing that there
are more SKUs coming on. There is e-commerce that is
bringing 24/7 needs into it. Customers are getting very impatient, they wanna have the product next day. So the one side there
is an explosive demand, or change in demand. On the opposite side, there
are less and less people who are willing to work
in this environment, and work as forklift truck drivers or work in an order picking
zone or transport material. So, customers are sitting there and, for them, it’s getting
more and more of a boondoggle. They don’t know how to get out of it. (upbeat music) So what we have been
building is a concept that should help them and it
starts with a very simple scan of the warehouse of
an existing situation. So we come to see our
customers in the future and say “Show me your warehouse.” We’re scanning your
warehouse, we’re building a full digital twin, starting
with two-dimensional but then use Bonsai
technology to build in the three-dimensional scan. Take the software of the truck, put it into this environment,
let it learn there. Let it learn where to
drive, where not to drive, how to respect pedestrians,
how to pick up material, how to deliver material, all these things, and practice in a safe environment. (upbeat music) – We spoke a little earlier about phone calls that you
might get from customers. You were talking about
predictive maintenance and how AI helps with that. Tell me the story you told
me about those phone calls. – Yeah, you know, we have
a number of cases with customers that, when
you have my type of job, you’re used to getting phone calls from a very angry customer where the
machine has just broken down, they have fifty-thousand liters of milk that have a very short shelf life, and the machine is broken
and they can’t do anything. So with predictive
maintenance, through AI and so, it’s a lot easier because we call them four weeks before and tell them that you know, there is something
that might break soon. So we will come in two weeks and fix it. So we will not have that
very unpleasant phone conversation four seconds after
a big failure has happened. (upbeat soothing music) – Throughout the book, there
are conversations about conserving energy, saving water. I wonder if you could say a
little bit about AI for good. – Um, absolutely. With Osram, we’re showing how light and artificial intelligence
can enable greenhouses in terms of optimization
of using less chemicals and fertilizers, less
water, but still be able to have very nutritious and very healthy, whether it’s lettuce or
whatever it is that you’re growing, be in control of that environment where that engine watches
the entire operation and optimizes it for you. (upbeat music) – Microsoft is, of course,
thought of as a software company but it is also a
manufacturing company, as well. Where is Microsoft in its AI journey within manufacturing? Maybe talk a little bit about
Microsoft as a manufacturer. – We as a manufacturer,
one, we’re a relatively sizeable manufacturer.
Over 40,000 SKUs shipped to over one hundred countries. So it’s a sizeable operation. We are what we call at a predictive phase. So we get a lot of predictions not only from our assets
in terms of calibration, tuning, et cetera, but also from our supply chain where we can follow up. Any SKU, where it sits in a container, what is the container, who’s carrying it, a ship, a railroad, a truck,
route, driver, insurer, it’s extremely connected and visible. And then we can predict a
weather system coming in and its impact on it or a
strike happening somewhere and its impact on it. We can re-route, re-insure, it’s just a fascinating AI-enabled environment. Now we’re moving to a cognitive phase where we think artificial intelligence will be able to make 30 to 40 percent of decisions for us so we
unleash leadership capacity. They manage by exceptions,
perhaps, but do not do much fire-fighting and they
focus on the strategic issues to move the
company to the next level. (upbeat music)

7 Comments

  • Reply Hsp pb07 June 20, 2019 at 4:02 pm

    Cool

  • Reply Elbee June 20, 2019 at 4:03 pm

    Sony sucks go bill gates

  • Reply Aqua World June 20, 2019 at 4:03 pm

    Cortana is better than Google and SIRI .

  • Reply Yuki Gersaniba June 20, 2019 at 5:27 pm

    OO I WANNA SEE BILL GATES

  • Reply Plants vs Zombies 3 Plants vs Zombies 3 June 21, 2019 at 10:30 am

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  • Reply TheLivelifeloud34 June 21, 2019 at 3:38 pm

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  • Reply SHREK RİCARDO June 23, 2019 at 9:36 pm

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