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

Schedule: Retail and e-commerce sessions

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11:05am–11:45am Wednesday, April 17, 2019
Executive Briefing: New business models in the age of artificial intelligence
AI Business Summit, Executive Briefing/Best Practices
 Location: Mercury Ballroom
Deepashri Varadharajan (CB Insights)
Average rating: ***..
(3.80, 5 ratings)
CB Insights tracks over 3,000 AI startups across 25+ verticals. While every vertical has benefited from deep learning and better hardware processing, the bottlenecks and opportunities are unique to each sector. Deepashri Varadharajan explores what's driving AI applications in different verticals like healthcare, retail, and security and analyzes emerging business models. Read more.
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1:00pm–1:40pm Wednesday, April 17, 2019
Building an AI engine for time series data analytics
Implementing AI
 Location: Trianon Ballroom
JIAN CHANG (Alibaba Group), Sanjian Chen (Alibaba Group)
Average rating: ****.
(4.75, 8 ratings)
Jian Chang and Sanjian Chen outline the design of the AI engine built on Alibaba’s TSDB service, which enables fast and complex analytics of large-scale time series data in many business domains. Join in to see how TSDB empowers companies across various industries to better understand data trends, discover anomalies, manage risks, and boost efficiency. Read more.
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4:05pm–4:45pm Thursday, April 18, 2019
Deep learning for recommender systems, Or How to compare pears with apples
Machine Learning, Models and Methods
 Location: Grand Ballroom West
Marcel Kurovski (inovex)
Average rating: *****
(5.00, 2 ratings)
Recommender systems support decision making with personalized suggestions and have proven useful in ecommerce, entertainment, and social networks. Sparse data and linear models are a burden, but the application of deep learning sets new boundaries and offers remarkable results. Join Marcel Kurovski to explore a use case for vehicle recommendations at Germany's biggest online vehicle market. Read more.