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Workshop: AI at the Edge for IoT Applications

Duration: 9:00am - 12:00pm

Day of week: Thursday

Level: Beginner

Prerequisites

Details to follow.

Companies that want to be both AI forward and move into the IoT space must wrestle with running models on low power edge devices. Moreover, as AI models become ubiquitous, companies are facing increased pressure to prioritize privacy and maintain integrity with respect to the handling of user data. These pressures naturally lead to AI applications that run directly on edge devices or limit centralized data processing. 

In this workshop, you'll learn essential methods and strategies for building privacy conserving AI applications that can run on edge devices. The presenter, Daniel Whitenack, will help you understand the devices and challenges unique to "the edge," and then he will walk you through key technologies including Intel's OpenVINO toolkit. In the end, you will be able to help your company develop a strategy for AI at the Edge and implement that strategy with Python and OpenVINO.

Speaker: Daniel Whitenack

Data Scientist @SILintl

Daniel Whitenack is a Ph.D. trained data scientist working with SIL International on NLP and speech technology for local languages in emerging markets. He has more than ten years of experience developing and deploying machine learning models at scale. Daniel co-hosts the Practical AI podcast, has spoken at conferences around the world (Applied Machine Learning Days, O’Reilly AI, QCon AI, GopherCon, KubeCon, and more), and occasionally teaches data science/analytics at Purdue University.

Find Daniel Whitenack at

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