Presentation of Professor Alex Sandy Pentland, Director of MIT Connection Science, Co-founder of the Social Contract 2020, at the AI World Society Conference Sept 23, 2019 at Harvard University Faculty Club.
Professor Hiroshi ESAKI, Graduate School of Information Science and Technology,The University of Tokyo
talks about Internet of Design
SPEAKERS AND DISCUSSANTS
Dr. Vint Cerf, one of “the Father of the Internet” and World Leader in AI World Society Award, will be honored in Nha Trang, Vietnam in 2020.
VietNet Information Highway, the first Internet of Vietnam applied by TCP/IP protocol , was born in Nha Trang city in December 1995, and officially provided internet service in January 1996, two years before Vietnam government officially allowed on Internet connectivity. Internet has supported to a remarkable change in Vietnam. It has connected Vietnam together with developed countries (United States and Western countries), as an important factor to make open and strong Vietnam.
To respect and honor the Father of Internet, Nha Trang city will create Vint Cerf Archive room and statue. When Dr. Vint Cerf visit Nha Trang in 2020, the city will organize a special ceremony to welcome and honor Dr. Vint Cerf, as well as officially launch the Vint Cerf Archive Room and Statue. Besides, Dr. Vint Cerf will give a special speech at the ceremony.
Dr. Vint Cerf also joins to the team to build the Social Contract 2020.
The leading growth strategy for manufacturers in 2019 is improving shop floor productivity by investing in machine learning platforms that deliver the insights needed to improve product quality and production yields.
Artificial Intelligence (AI) has the potential to create $1.4T to $2.6T of value in marketing and sales across the world’s businesses, and $1.2T to $2 in supply-chain management and manufacturing. 50% of companies that embrace AI over the next five to seven years have the potential to double their cash flow with manufacturing leading all industries due to its heavy reliance on data according to McKinsey.
Using machine learning to streamline every phase of production, starting with inbound supplier quality through manufacturing scheduling to fulfillment is now a priority in manufacturing. According to a recent survey by Deloitte, machine learning is reducing unplanned machinery downtime between 15 – 30%, increasing production throughput by 20%, reducing maintenance costs 30% and delivering up to a 35% increase in quality.
According to Michael Dukakis Institute for Leadership and Innovation (MDI), AI can be an important tool for government and society, especially in manufacturing industry, to relieve people of resource constraints and arbitrary/inflexible rules and processes, as well as solve important issues, such as SDGs.