September 26-27, 2016
New York, NY

Schedule: Impact on business and society sessions

11:00am–11:40am Monday, 09/26/2016
Location: 3D08 Level: Non-technical
Tom Davenport (Babson College, MIT)
Average rating: ***..
(3.83, 6 ratings)
The automation of decisions and actions now threatens even knowledge-worker jobs. Tom Davenport describes both the threat of automation and the promise of augmentation—combining smart machines with smart people—and explores five roles that individuals can adopt to add value to AI, as well as what these roles mean for businesses. Read more.
2:20pm–3:00pm Monday, 09/26/2016
Location: 3D10 Level: Beginner
Eduardo Arino de la Rubia (Domino Data Lab)
Average rating: ****.
(4.00, 5 ratings)
Manufacturing in the United States is facing extreme pressures from globalization. Eduardo Arino de la Rubia synthesizes what he learned working side by side with the workers he was replacing with AI and ML, discussing their struggles, how they saw the technology the would take their jobs, the limitations of the technology, and what his real impact was in the face of globalization. Read more.
3:45pm–4:25pm Monday, 09/26/2016
Location: 3D09 Level: Non-technical
Robbie Allen (InfiniaML)
Average rating: *****
(5.00, 1 rating)
Natural language generation, the branch of AI that turns raw data into human-sounding narratives, is coming into its own in 2016. Robbie Allen explores the real-world advances in NLG over the past decade and then looks ahead to the next. Computers are already writing finance, sports, ecommerce, and business intelligence stories. Find out what—and how—they’ll be writing by 2026. Read more.
4:35pm–5:15pm Monday, 09/26/2016
Location: 3D09 Level: Non-technical
Babak Hodjat (Sentient Technologies)
Average rating: ****.
(4.00, 2 ratings)
Babak Hodjat discusses the progress in AI, diving into how AI can offer unique solutions in verticals such as investment, medical diagnosis, and ecommerce. Babak details how using massively scaled distributed evolutionary computation, mimicking biological evolution, allows an AI to learn, adapt, and react faster to provide customers with the answers and decisions they need. Read more.