Presented By O’Reilly and Intel AI
Put AI to Work
April 29-30, 2018: Training
April 30-May 2, 2018: Tutorials & Conference
New York, NY

Schedule: Impact of AI on Business and Society sessions

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9:00am–12:30pm Monday, April 30, 2018
Location: Beekman
Chris Butler (IPSoft)
Average rating: ****.
(4.58, 12 ratings)
Purpose, a well-defined problem, and trustworthiness are important factors to any system, especially those that employ AI. Chris Butler leads you through exercises that borrow from the principles of design thinking to help you create more impactful solutions and better team alignment. Read more.
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11:05am–11:45am Tuesday, May 1, 2018
Location: Morgan
Ben Vigoda (Gamalon)
Average rating: *****
(5.00, 1 rating)
Ben Vigoda offers an overview of idea learning, a new approach to deep learning that has been funded since 2013 as one of DARPA's largest investments in next-generation machine learning. Ben details the process of teaching machines with ideas instead of labeled data and demonstrates use cases with state-of-the-art performance on applications in unstructured enterprise data. Read more.
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11:55am–12:35pm Tuesday, May 1, 2018
Location: Nassau East/West
brian pearce (Wells Fargo)
Average rating: ***..
(3.40, 5 ratings)
Chatbots are having a moment, and banks across the world are utilizing them for everything from basic customer service to assisting internal IT support. But chatbots only skim the AI landscape. Brian Pearce explains how AI helps Wells Fargo use data in a smarter way, from developing custom experiences to uncovering new insights—with customers and employees at the center of it all. Read more.
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1:45pm–2:25pm Tuesday, May 1, 2018
Location: Sutton South
David Barrett (Expensify )
Average rating: ***..
(3.00, 5 ratings)
Expensify is using AI to streamline and improve customer service, reducing customer wait time from 15 hours to 3 minutes. David Barrett leads a deep dive into the process of building Concierge, a hybrid machine learning-driven chatbot, covering the challenges faced, results to date, and what he sees for the future of AI and customer service. Read more.
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1:45pm–2:25pm Tuesday, May 1, 2018
Location: Regent Parlor
Susan Etlinger (Altimeter Group)
Average rating: ****.
(4.00, 2 ratings)
Susan Etlinger shares use cases, emerging best practices, and design and CX principles from organizations building consumer-facing chatbots, covering the risks and opportunities of conversational interfaces, the strategic implications for customer experience, business models, brand strategy, and recent innovations. Read more.
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2:35pm–3:15pm Tuesday, May 1, 2018
Location: Grand Ballroom West
Enhao Gong (Stanford University | Subtle Medical), Greg Zaharchuk (Stanford University)
What is the impact of AI and deep learning on clinical workflows? Enhao Gong and Greg Zaharchuk offer an overview of AI and deep learning technologies invented at Stanford and applied in the clinical neuroimaging workflow at Stanford Hospital, where they have provided faster, safer, cheaper, and smarter medical imaging and treatment decision making. Read more.
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2:35pm–3:15pm Tuesday, May 1, 2018
Location: Regent Parlor
Average rating: ****.
(4.00, 1 rating)
Tolga Kurtoglu walks you through the advanced technology needed to implement cyberphysical systems, covering the right hardware to sense the right data, explainable AI, and designing security for trustworthy operations. Along the way, Tolga shares case studies and examples of advanced tech deployments. Read more.
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2:35pm–3:15pm Tuesday, May 1, 2018
Location: Morgan
Tags: wl
Richard Tibbetts (Tableau)
Average rating: ***..
(3.00, 2 ratings)
New technologies make Bayesian inference and generative modeling more accessible to business analysts, but this also creates new communications challenges. Richard Tibbetts shares techniques for capturing domain knowledge and making findings actionable for decision makers utilizing the explanatory powers of transparent AI. Read more.
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4:00pm–4:40pm Tuesday, May 1, 2018
Location: Regent Parlor
James Guszcza (Deloitte Consulting)
Average rating: ****.
(4.80, 5 ratings)
AI is about more than automating tasks; it's about augmenting and extending human capabilities. James Guszcza discusses principles of human-computer collaboration, organizes them into a framework, and offers several real-life examples in which human-centered design has been crucial to the economic success of an AI project. Read more.
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4:00pm–4:40pm Tuesday, May 1, 2018
Location: Morgan
Tags: wl
Sumeet Vij (Booz Allen Hamilton)
Drawing on his experience bringing AI to the public sector, Sumeet Vij offers perspectives on public sector AI trends, dispelling myths around barriers to entry and sharing approaches and opportunities as he highlights examples of successful AI adoptions. Read more.
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4:50pm–5:30pm Tuesday, May 1, 2018
Location: Sutton South
Ophir Tanz (GumGum)
Advancements in computer vision are creating new opportunities across business verticals, from programs that help the visually impaired to extracting business insights from socially shared pictures, but the benefits of applied AI in computer vision are only beginning to emerge. Ophir Tanz explores the tools and image technology utilizing AI that you can apply to your business today. Read more.
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4:50pm–5:30pm Tuesday, May 1, 2018
Location: Concourse A
Jake Porway (DataKind)
Average rating: *****
(5.00, 3 ratings)
Jake Porway explores AI’s true potential to impact the world in a positive way. Drawing on his experience as the head of DataKind, an organization applying AI for social good, Jake shares best practices, discusses the importance of using human-centered design principles, and addresses ethical concerns and challenges you may face in using AI to tackle complex humanitarian issues. Read more.
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9:05am–9:20am Wednesday, May 2, 2018
Location: Grand Ballroom
Olga Russakovsky (Princeton University)
Average rating: **...
(2.67, 3 ratings)
Keynote with Olga Russakovsky Read more.
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11:05am–11:45am Wednesday, May 2, 2018
Location: Regent Parlor
John Sumser (TwoColorHat)
Average rating: *****
(5.00, 3 ratings)
AI and its related subtechnologies are being introduced into operational decision making throughout the enterprise. The most promising and risky experiments involve the way people are selected and utilized, but the use of AI in HR raises the specter of software product liability. John Sumser offers an overview of the available use case solutions and the accompanying ethical issues. Read more.
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1:45pm–2:25pm Wednesday, May 2, 2018
Location: Regent Parlor
Rachel Silver (MapR Technologies)
Average rating: ***..
(3.67, 3 ratings)
With all the buzz around machine learning, it can be difficult to distinguish what is disruptive from what is merely a marginal improvement. Rachel Silver shares a new taxonomy of machine learning approaches that categorizes both models and learning algorithms with respect to technical complexity and explains how to use it to identify approaches that provide compelling competitive advantage. Read more.
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4:50pm–5:30pm Wednesday, May 2, 2018
Location: Sutton South
Paul Nemitz (European Commission)
Average rating: ****.
(4.67, 3 ratings)
The rise of AI has shown the importance of implementing the basic rules of democracy, human rights, and the rule of law into the innovation process and the programs of artificial intelligence by design and default. Paul Nemitz outlines justice-oriented AI development processes and shares a model for globally sustainable development and deployment of artificial intelligence in the future. Read more.
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4:50pm–5:30pm Wednesday, May 2, 2018
Location: Beekman Parlor
Neeyanth Kopparapu (Girls Computing League)
With the improvement of medical devices in the technological era, doctors have access to an enormous amount of unharnessed medical data. Artificial Intelligence is a tool that can be used to process this data to solve problems that are considered hard or impossible as a doctor. These AI tools is what Neeyanth used to help the field of diagnostics enter the digital age. Read more.