Accelerating AI Adoption

Sources of international human trafficking data contain a wealth of textual information that is laborious to assess using manual methods. Tom Sabo demonstrates text-based machine learning, rule-based text extraction to generate training data for modeling efforts, and interactive visualization to improve international trafficking response.

Nick Curcuru, VP, Data Analytics and Cyber Security, will discuss Mastercards commitment to AI and its recent investments and developments.

What's it like to be a mobile phone or to attach a wind sensor to a neural network? Jeff Thompson outlines several recent creative projects that push the tools of AI in new directions. Part technical discussion and part case study for embedding artists in technical institutions, this talk explores the ways that artists and scientists can collaborate to expand the ways that AI can be used.

Automated ML is at the forefront of Microsofts push to make Azure ML an end-to-end solution for anyone who wants to build and train models that make predictions from data and then deploy them anywhere. Join Danielle Dean for a surprising conversation about a data scientists dilemma, a researchers ingenuity, and how cloud, data, and AI came together to help build automated ML.

Ruchir Puri discusses the next revolution in automating AI, which strives to deploy AI to automate the task of building, deploying, and managing AI tasks, accelerating enterprises' journey to AI.

The role of collaborative technologies in training AI systems: How to adopt a blockchain approach to contribute to Visual Recognition Framework increasing accuracy in detection of plant diseases. The …