Your brain is too small to manage your business

Abstract: Your soggy, on-board 3 pound glucose-driven computer is no match for the increasingly powerful deep learning systems that can consume and rationalize with blinding speed the ridiculous amounts of data we are creating. 90% of the information that exists in the world today has been created in the last two years. As the ongoing evolution of sensors and actuators drives the ever-expanding Internet of Things, a tremendous range of devices will be contributing information captured from your clothing, your car and your appliances – just to name a few sources. No human can possibly parse or rationalize this deluge. But we can consider ourselves very lucky because AI and machine learning tools can help us make sense of the information tsunami. Smart companies will certainly exploit the power of the new generation of AI and machine learning tools to generate attributable revenue. But advanced deep learning AI instances will also give humans the power to address what have historically been intractable social and cultural problems. Chris Bishop will speak about how we can do both by smartly partnering with algorithms, bots and machines.

Bio: Christopher Bishop is passionate about the power of emerging technologies to deliver
positive transformation at the intersection of business and culture. He is especially excited about the potential of artificial intelligence and machine learning to provide solutions to problems once considered the realm of science fiction.
Chris first became fascinated by AI after being hired by IBM in 1998 just as their seminal supercomputer Deep Blue beat the world chess champion Garry Kasparov. Chris went on to work at Big Blue for fifteen years in a variety of strategy and communications roles, leading social media and virtual worlds adoption. At the end of his tenure, IBM’s AI-driven supercomputer Watson beat the two reigning Jeopardy champions and Chris was part of a team at the IBM Foundation investigating how Watson’s AI could be applied in social and civic settings.

Chris has spoken on the topic of AI and business at various events and conferences. He delivered the Closing Keynote at the AI World Forum in Toronto in November 2017 with a talk titled “AI+humans: perfect timing.”
He wrote about the challenges and opportunities that AI represents in his summary of the AI Now | 2017 Symposium – Brave new world: implications for AI. He is currently writing a white paper based on a
recent MIT Media Lab event titled “Blockchain+AI+Humans.”

For more background on Chris and his perspective on AI, please visit his site - ai guys.

Open Data Science Conference