Like the in ternet, AI will create drastic change across industries so it’s no su rprise everyone is looking to integrate AI into their internal solutions an d external products. However, individuals and teams struggle to find a plac e to start. In some cases, simply using a new modeling approach like machin e learning could yield a quick win, and in others, you may have to process data differently or create novel data streams prior to realizing the potent ial of AI. Novel datastreams like sensors and video cameras, when com bined with AI, can deliver entirely new experiences.
\n \nIn this session, Vinay will explain how to start with an understanding of your business cases and data, work with existing data pipelines and crea te new ones, and create a data platform and environment for exploring ideas that machine learning is best suited to address. In addition, Vinay will d iscuss how you might organize your thinking about finding and prioritizing opportunities for AI inside your organization and when you do find them, ho w you could execute on these opportunities.
\n \nAtten dees will learn:
\n\nHow, where, and why to integrate AI into specific areas of you r organization
\n \nHow to prioritize business value vs. data value by reducing ri sk early in the development process
\n \nApplied AI patterns and illustrative use cases from different industries such as healthcare and retail for each pattern
\n \nA specialized process that keeps team members aligned by utili zing strengths of different people on your data team to provide business va lue in a quick and consistent way
\n \nThe different steps of the “Lean AI” process for s oftware development: Understand, Engineer, Model, User Feedback, Deploy, Va lidate
\n \nHow to create a data platform that your unique data and machin e learning is best suited to address
\n \n\n DTSTART:20190321T083000 SUMMARY:Accelerating Your AI Roadmap DTEND:20190321T092959 LOCATION: See Description END:VEVENT END:VCALENDAR