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Put AI to work
September 17-18, 2017: Training
September 18-20, 2017: Tutorials & Conference
San Francisco, CA

Schedule: Impact on business and society sessions

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11:05am–11:45am Tuesday, September 19, 2017
Location: Imperial A Level: Intermediate
Secondary topics:  Case studies, Deep learning
Xiaofang Chen (Pinterest), Derek Cheng (Pinterest)
Average rating: ****.
(4.62, 8 ratings)
Pinterest’s power is grounded in its personalization systems. Over the years, these recommender systems have evolved through different types of models. Xiaofang Chen and Derek Cheng explore Pinterest's recent transition from a GBDT system to one based in neural networks powered by TensorFlow, covering the challenges and solutions to providing recommendations to over 160M monthly active users. Read more.
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2:35pm–3:15pm Tuesday, September 19, 2017
Location: Franciscan AB Level: Non-technical
Secondary topics:  Healthcare, Law, ethics and governance (including AI safety)
Astrid Chow (IBM Watson Health), Amy Chenault (Insulet), Joel Wu (Children's Minnesota)
With great cognitive computing comes great responsibility. As AI becomes ubiquitous in our society, it's critical to discuss the ethical concerns of AI and ask the tough questions. This multidisciplinary roundtable opens a dialogue on how bioethical principles might be applied to everyday design practice within healthcare. Read more.
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4:50pm–5:30pm Tuesday, September 19, 2017
Location: Franciscan AB Level: Intermediate
Secondary topics:  Law, ethics and governance (including AI safety), Organizational best practices
Daniel Guillory (Autodesk), Matthew Scherer (Littler Mendelson, PC )
Average rating: *****
(5.00, 2 ratings)
Diversity has many dimensions relevant to AI development. If designers don't consider and integrate diversity from the very beginning, they risk creating systems that are irrelevant to excluded groups and worse, make excluded groups irrelevant. Daniel Guillory and Matthew Scherer discuss the importance of ensuring diversity and inclusion when developing AI and share tips on how to do so. Read more.
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11:05am–11:45am Wednesday, September 20, 2017
Location: Yosemite A Level: Intermediate
Secondary topics:  Security, Technical best practices
Aaron Goldstein (Cylance)
Average rating: *****
(5.00, 3 ratings)
The current threat landscape is in a state of evolution that poses a significant risk to organizations' assets, reputations, and identities. Aaron Goldstein explores new and existing threats (and why traditional defenses fail to address them) and explains how leveraging AI techniques can improve the speed and efficiency of incident response tactics, even when combating the toughest threat actors. Read more.
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11:05am–11:45am Wednesday, September 20, 2017
Location: Franciscan AB Level: Non-technical
Secondary topics:  Case studies, Enterprise adoption
Jana Eggers (Nara Logics)
Average rating: ****.
(4.50, 2 ratings)
Having spent the last three years working with Global 200 customers to get AI systems into production, Jana Eggers can tell you that the technology is (finally) ready—but the organization is not. Jana discusses the top five reasons orgs struggle—data silos, the tech-business gap, driving innovation, resistance to change, and the hype-reality gap—and shares ideas on how to overcome them. Read more.
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11:55am–12:35pm Wednesday, September 20, 2017
Location: Franciscan AB Level: Non-technical
Secondary topics:  Data science and AI, Deep learning
Tim Estes (Digital Reasoning)
As AI moves from concept to reality, debates about ethics are evolving into excitement and the desire to learn more about AI and its promise of a better world. Tim Estes discusses two customer use cases at Digital Reasoning: Nasdaq, which found a way to use AI to help safeguard financial markets, and Thorn, which found a way to use AI to combat human trafficking and rescue children. Read more.
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1:45pm–2:25pm Wednesday, September 20, 2017
Location: Franciscan AB Level: Beginner
Secondary topics:  Bots, Deep learning
Paul Tepper (Nuance Communications)
Average rating: ****.
(4.67, 3 ratings)
Many industries are now exploring chatbots powered by artificial intelligence as a source for improved insights and better understanding of customer preferences. Paul Tepper explores the unique challenges chatbots present, shares available solutions, and outlines a number of critical factors in building successful chatbots and virtual assistants. Read more.
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4:50pm–5:30pm Wednesday, September 20, 2017
Location: Grand Ballroom Level: Intermediate
Secondary topics:  Data science and AI, Deep learning
Nikita Lytkin (Facebook)
Average rating: ****.
(4.50, 2 ratings)
Nikita Lytkin explains how Facebook uses machine learning technologies developed by its ads ranking, applied machine learning, and AI research teams to enable personalized ecommerce that recommends a vast diversity of products to nearly two billion people. Read more.