Motoo Nishihara4:18
Thank you for the introduction, and a great talk about initiating a new strategy for inbound open innovation. First of all, I have one question for you: how many of you have never heard of NEC until today? Honestly? I already saw one hand, so you know NEC very well. Okay, that's a very happy surprise for me.
I'm sorry, there seem to be some technical issues. Before starting the content of the discussion, I would like to introduce some of our initiatives with an initial profile—that is, a short video.
NEC is a company that creates social solutions, as shown in this video. NEC pays particular attention to providing safer cities and value chain innovation. We will endeavor to create a diverse social body by promoting businesses in these two sectors, with topics aligned with the UN's SDGs activities. By the year 2050, urban populations will grow by 1.6 times, which means increased movement of people and goods, but also increased crime, danger, and terrorism. For safe and secure urban cities, we need public safety systems, smart response systems, and digital governance systems. NEC is creating those systems using AI, ICT, and IoT technologies. For example, in Argentina, we achieved an 80% reduction in vehicle theft after implementing our surveillance solution, enabled by our image recognition technology combined with other AI technologies. Another example addresses the serious labor shortage in retail in advanced countries like Japan. We provide automated store solutions that enhance both customer experience—through biometric walkthrough payment and personalized product recommendations via digital signage—and operational excellence, through AI-powered purchase prediction and IoT facility management systems, allowing staff to focus more on customer relations. We have many such activities all over the world addressing social problems across all regions.
This is the background of what NEC is doing in the business sector. Now I'd like to talk about the R&D sector and introduce NEC's laboratories. We have seven research laboratories all over the world including the United States, Germany, Israel, India, Singapore, China, and Japan, with about 1,500 researchers working worldwide. Our search areas focus on AI and platform technologies. Since our direction is social value creation—which means digitizing the real world, analyzing it, and providing some kind of prescription—these functions of visualization, analysis, and prescription are highly compatible with AI. Data science is the most important technology, supported by computing, network security, high-reliability computing, broadband networking, and secure systems. Our technology research focuses on these areas. This slide shows our AI technologies covering visualization, analysis, and prescription, most of which have been achieved in NEC laboratories. We call this technology brand 'InzaiWise.' In terms of academic conference presentations in artificial intelligence, we ranked number five overall since 2000, and if you look at the last three years, we ranked eighth and eighth respectively—which is quite good given the size of our company and the domain of our business. We also have very strong achievements in security and networking areas.
I'd also like to introduce some of our researchers. Several are very famous—for example, a leading face recognition researcher, with whom NEC achieved the most consecutive NIST benchmark wins. We have a leader in image recognition who is also a professor at UC San Diego. We have the inventor of Torch, which is a very famous open-source deep learning framework. I should also point out that former lab employees include people associated with very notable achievements—for instance, someone who won the ACM Turing Award last year, who worked at the initial level of [our labs]. And the inventor of support vector machines was also a former NEC employee. Mr. Nakamura is one of the pioneers in compound computing inventions. My point is that we have an excellent research track record and talented people here. My job is to figure out how to make business based on their output.
Now that you know about NEC's research capabilities, I'd like to dive into the status of inbound and outbound open innovation. Inbound open innovation is very important for large companies. Typically, large companies invest in startups and incorporate their technology inside to make solutions. This expands the value of solutions. As CTO, I have a venture capital fund to invest in venture businesses to create new collaboration opportunities with business teams. This awareness is very important, and I'm looking for further collaboration with startups, especially in Silicon Valley. But every company is doing this.
So I'd like to talk about the outbound path of innovation, which is what makes NEC's approach special and unique. I don't see any other large company doing this type of outward innovation. There are many spin-outs in Silicon Valley, but what I'm presenting is slightly different from the Silicon Valley style. Let me share my understanding of the problems in large companies. First problem: where are the talented people? Startup companies have talented people who make innovations and good businesses—I agree with that. But there are also many good people in large corporations, especially in Japan, because Japan doesn't have a large venture capital startup market, so talented people tend to work in large companies. The problem is that people in startups have many opportunities to talk with diverse people in the market, but talented people in large companies are hidden inside—they don't have much opportunity to interact with diverse people outside. The second problem is speed. Large companies have very rigid, structural processes to commercialize technology into products. This process is very efficient and important for mission-critical systems and large infrastructure, and it's good for current and legacy businesses. However, in new business areas like AI, it takes too long to commercialize. One of our top researchers told me that his technology was number one in the world, but in two years a competitor would catch up—meaning unless we can commercialize in two years, even the best research output is meaningless. So accelerating the commercialization process is especially important for large companies. These are constraints.
NEC has started a new ecosystem concept. NEC has good talented researchers and cutting-edge technology in areas like security, and we have good business opportunities in current businesses. We'll continue close discussions to maintain and grow current businesses. However, in new technology domains, this isn't enough. So we decided to expose our technology to outside people. Some people outside have great knowledge about customer needs, some about businesses, and academia has great talent. We can also incorporate external funds. Normally, research in a large corporation works inside the company and collaborates only with internal business people—it can work, but in new cases, we need other knowledge and capability from outside. Some researchers may spin out through this process, and that's okay. NEC can still get good output through capital gains, and we can accelerate commercialization more than doing it inside NEC. In this case, we expose core technology and business outward. Unlike typical Silicon Valley spin-outs where people leave because their technology doesn't fit the company, here the core technology IS our business. The fundamental direction is defined through this outward process, which is completely different from normal spin-out cases.