By 2020, not only will there be ~3.5 networked devices and connections for every person on the planet, a whopping 47% of these devices and connections will be machine-to-machine.*
That’s a mere two years away, and it underscores massive development opportunities in artificial intelligence—the next big technology wave.
But what does it really mean? And how can developers and technologists take advantage of this sea change?
Join Intel’s Wei Li for a 1-hour breakdown to help answer the questions, including:
Register now.
* Cisco Visual Networking Index: Forecast and Methodology, 2016-2021; September 2017, https://www.cisco.com/c/en/us/solutions/service-provider/vni-network-traffic-forecast/infographic.html
Wei Li is vice president in the Software and Services Group and general manager of Machine Learning and Translation at Intel Corporation, responsible for several areas of software systems, including machine learning, binary translation, and emulation. His team works with industry and academia to enable the software ecosystem, and collaborates with Intel hardware teams for designing future processor products. Since joining Intel in 1998, Li has led teams that contributed to Intel data center, client/mobile, Internet of Things, and artificial intelligence businesses. Li obtained a Ph.D. in computer science from Cornell University on compiling for supercomputers, and completed the Executive Accelerator Program at the Stanford Graduate School of Business. He served as an associate editor for ACM Transactions on Programming Languages and Systems.