Democratizing AI for All with Plainsight and Intel

When you think about AI, you don't typically think about agriculture. But imagine how much easier farmers' lives would be if they could use computer vision to track livestock or detect pests in their fields. Just one problem: How can an enterprise leverage AI if they don't already have a team of data scientists? This is a pressing question not only in agriculture but also in a wide range of industrial businesses, such as manufacturing and logistics. After all, data scientists are in short supply! In this podcast, we explore how companies can deploy computer vision with their existing staff--no expensive hiring or extensive training required. We explain how to democratize AI so non-experts can use it, the possibilities that come from making AI more accessible, and unexpected ways AI transforms a range of industries. Our guests this episode are Elizabeth Spears, Co-Founder and Chief Product Officer for Plainsight, a machine learning lifecycle management provider for AIoT platforms, and Bridget Martin, Director of Industrial AI & Analytics of the Internet of Things Group at Intel . In her current role, Elizabeth works on innovating Plainsight's end-to-end, no-code computer vision platform. She spends most of her time focusing on products offered by Plainsight, particularly thinking of what new products to build, what order to build them in, and why they are needed. Bridget focuses on building up the knowledge and understanding that occur during the process of adopting AI, especially in an industrial space.