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Big Data LDN Refresh: AI Lab

Over the next few weeks Big Data LDN will be revisiting some of the highlights from our 2019 Conference in November as part of our Refresh series. More than 130 sessions at Big Data LDN 2019 were recorded split across 8 distinct content streams; DataOps, Data-Driven, Self-Service Analytics, Customer Experience, Governance and Master Data Management, AI, Fast Data and BluePrint (Data Architecture). We will be releasing a video daily, delivered by a leading member of the user, vendor or consultancy community on a range of topics.

There are many considerations before deploying deep learning models into the real world, especially in safety-critical environments like automated driving, smart medical devices, aerospace, and biomedical applications. A deep learning researcher can achieve 99% accuracy on a deep learning model, but what about the edge cases? What if those edge cases represent someone’s life? Is AI ready to move from research to reality?

In this session Heather Gorr of Mathworks tackles the importance of explainable models, system design and testing before an AI system is production-ready.

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