Put AI to Work
April 15-18, 2019
New York, NY

Schedule: Sponsored sessions

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11:50am–12:50pm Wednesday, April 17, 2019
AI Business Summit Lunch (sponsored by Deloitte Consulting)
Location: Trianon Ballroom
Join us for a networking lunch with AI Business Summit attendees on Wednesday and Thursday. You’ll have the opportunity to network and discuss the AI technologies that are transforming business and industry with other attendees. Read more.
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1:00pm–1:40pm Wednesday, April 17, 2019
Deploy machine learning for real impact: Bridge the gap between data scientists and IT (sponsored by Cisco)
Location: Petit Trianon
Zongjie Diao (Cisco)
Zongjie Diao outlines the key ML challenges deployment companies face and examines the root causes. More importantly, Zongjie explores solutions in depth to demystify ML development in the enterprise. Read more.
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1:50pm–2:30pm Wednesday, April 17, 2019
Synergize your tech stack to realize AI’s full potential (sponsored by SAS)
Location: Beekman
Katherine Taylor (SAS)
Average rating: *****
(5.00, 1 rating)
The whole of AI is greater than the sum of its parts, but achieving the best analytics edge often requires a mixture of technologies—chaining together AI technologies to build smart end-to-end processes. Katie Taylor explores use cases within key industries to uncover how companies are succeeding with AI through a layered technology stack. Read more.
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4:05pm–4:45pm Wednesday, April 17, 2019
Continuous improvement of chat, social, and survey interactions using AI “idea analysis” (sponsored by Gamalon)
Location: Petit Trianon
Ben Vigoda (Gamalon)
Average rating: ***..
(3.25, 4 ratings)
How does customer experience and digital marketing know what customers are saying in human chat, bot chat, survey, or social interactions? The first step is to deeply analyze customer conversations. Ben Vigoda explains how a new generation of AI technology makes it possible to extract the ideas contained in text to summarize, organize, and display for analysis. Read more.
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4:55pm–5:35pm Wednesday, April 17, 2019
From prediction to prescription: Optimizing AI (sponsored by DataRobot)
Location: Beekman
Suresh Vadakath (DataRobot)
Average rating: **...
(2.33, 3 ratings)
Many companies want to influence the future by adjusting factors that they control. Suresh Vadakath covers practical ways to extend machine learning models via simulations and points out common pitfalls to avoid. Suresh then discusses a few applications in marketing, pricing, and operations to illustrate how this approach works in the real world. Read more.
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4:55pm–5:35pm Wednesday, April 17, 2019
Unlocking AI value at scale: 3 building blocks and 1 massive mistake to avoid (sponsored by MapR)
Location: Petit Trianon
Jack Norris (MapR Technologies)
Average rating: *....
(1.00, 1 rating)
Jack Norris delves into the three building blocks and the one massive mistake to avoid for any organization looking to leverage AI. Read more.
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11:05am–11:45am Thursday, April 18, 2019
Simple, scalable, and sustainable: A methodical approach to AI adoption (sponsored by Accenture)
Location: Petit Trianon
Rajendra Prasad (Accenture)
Average rating: ****.
(4.00, 1 rating)
After crossing the first AI implementation milestone, leaders often ask, "What’s next?" Based on experience implementing AI-led automation for more than 100 clients, Accenture has developed an easy-to-use methodology for scaling and sustaining reliable AI solutions. Rajendra Prasad (RP) explains how leaders and change makers in large enterprises can make AI adoption successful. Read more.