VIDEO: Interviews (Part 1)
I interviewed the first presenter, Dr. Emura of NEC, about overview and his expectations regarding AI in Japanese. Next in English, he shared his impression of the session, in particular diversity of participants, somewhat different from technology-driven and engineer-heavy NEC. He shared his expectations from the session.
After the session
I interviewed two participants, both the first timers, the first Fuse san in Japanese as to how he found about this series and how he found the session itself. Next we switched to English and he shared his impression of the session, in particular the venue at NEC which was specialized in technologies including the topic of AI. He mentioned that he was surprised to see how active the Japanese participants were involved in the breakout session.
Next I interviewed the participant from NEC, Eddie, from Indonesia. He liked the fact that the participants were from different and diverse industries and he felt his perspectives broadened. We discussed ideas generated in his breakout group.
VIDEO: Opening (Part 2)
I opened the session by welcoming the participants and thanking the people of NEC to offer the venue with lovely view. I then explained my summer activities (as it was the first session after the summer holidays) related to this series. Specifically, I talked about my auction offer of spending a few days in British Columbia and of reunion in New York in the first 4 minutes or so.
Then I explained the background of the topic of session #40, specifically, Artificial Intelligence.
I asked the participants a question “Do you think it is good to have face recognition technology at many places—this is one of the topics we tried to cover.”
After a few minutes of thinking on own, they shared their view-whether good or bad. I then led the general discussion with views from both sides. (up till 12 minutes into the video)
Then Dr. Emura, CTO, made the first presentation, focusing on the importance of human factors around Artificial Intelligence for 8 minutes or so. He gave an overview of Artificial Intelligence and how NEC sees the topic. He explained two categories of AI-strong AI (general purpose) and weak AI. (In fact, we will discuss strong AI on Nov. 3 with Dr. Yamakawa at extended Davos session.) He explained the value of visualization as well as the journey involving AI into human-centric society, focus at NEC. He referred to the value of efficiency in particular as Japan is faced with declining population.
Next, Dr. Mochizuki made quite detailed presentation on NEC’s initiative in the area of AI for some 25 minutes. He started, giving the overview of how NEC has been involved with the AI technologies development. Then he talked specifically about two-face recognition and object fingerprint.
He explained how face recognition works and how it has been applied now from criminal investigation, security purposes to entry system into the theme park, and emerging applications potential for the future. For example, he focused on how quick their face recognition works, referring to the VIP guests at the hotel etc.
Status of NEC with metrics to measure face recognition technology is shared.
Then he talked about object fingerprint, which is still in early stage of development by using the video explaining the application for component parts, for example, for airplanes, its advantage over bar-code etc. Traceability and product authentication is made possible with this technology.
He concluded his presentation by comparing the progress with Moore’s Law and emphasized the need for value-based business model innovation to make AI into real world application.
After the two presentations, I explained the topic for breakout sessions-to develop crazy and innovative ideas to market face recognition and to market object fingerprint authentication. Four groups each worked on the topic.
VIDEO: Presentation and Closing (Part 3)
After breakout session for 45 minutes or so, two groups shared their ideas. The Ideas for face recognition application developed include:
- the use of face recognition for match making as the means to increase birth rate
- use at hospitals
- use to improve pronunciation of foreign languages such as English and improve skills for sports
- to reduce the tension and potential conflict by reading the mood/mental condition of people
- to identify the stress level in sports situation
- if advanced further, may replace contact lens
- to prevent “bullying” at school
- to identify the status of patients/people
- to identify stage of tear/wear of the machines for preventive maintenance
Idea for object fingerprint include:
- to detect allergy in food, detect air quality, to trace your location etc.
- to trace ingredients of wine etc.
- For car
notify need for maintenance
rental/shared car using finger prints
identify family members for the car etc.
- Identify brand/where to buy the clothes other people wear & even buy online
- Identify the place watched on TV/photo for travel later
I made some comments from my own experiences after each group and at the end asked NEC presenters to give us some feedback and reactions. They include “no constraints in generating ideas” and “start from issues” in the ideas participants developed.
At the end of the session, I explained the topics of the next two sessions and ended the session with the procedure of Yoko’s bar to increase repeat participants.
＃Session 40 “Davos Experience in Tokyo” series
September 9, 2016
“How to market new emerging technology such as Artificial Intelligence to the world?”
Artificial Intelligence (AI) has been a hot topic for debate these days. AI, means many things to many people and include a variety of technologies under that category. NEC has been encouraging AI as an efficient means to resolve many issues we face today, which are becoming more complex and more difficult, by supporting our thinking and judgment.
NEC has promoted the development of AI-related technology for nearly half a century in the domains of visualization, analysis, and control and guidance.
Specifically, they have following technologies.
1) Face recognition
NEC has the most precise face recognition technology in the world which can be used for managing entry/exit of important facilities, and for monitoring and preventing crimes by image analytics.
2) Object Fingerprint Authentication
This technology enables efficient management of each item on production line without IC tag or bar code, by recognizing the granular surface of items of industrial products.
As you are aware, AI has provoked heated discussions. Some take a very positive and optimistic view of AI by focusing on what AI enables us to do, while others are skeptical in pointing out the potential negative prospect of AI. Both groups are aware of the need to address issues such as privacy, and how and who manages/owns the information.
At #40 of Davos Experience in Tokyo series, we want each one of us to think of AI and think of the ways to market the above mentioned pieces of technologies as marketing manager of NEC. We want creative and unconventional ideas to promote these technologies so that many of us can benefit. Join us to develop specific marketing plan.