Terry is a Microsoft Artificial Intelligence MVP, awarded in recognition of his contributions to the Microsoft Data Science & Artificial Intelligence communities. His focus is on all things AI and Data Science. Terry has a passion for applying traditional Software Engineering techniques to Data, to improve the way teams deliver Machine Learning projects. Terry holds an Masters degree in Machine Learning and is continually interested in the application of academic research in industry. Terry is the host of the popular podcast Data Science in Production, where he interviews leading Data Scientists. His spare time is spent with his wife and two boys in their home in Devon.
May 28, 2021 11:05 AM PT
Machine learning in the enterprise is rarely delivered by a single team. In order to enable Machine Learning across an organisation you need to target a variety of different skills, processes, technologies, and maturities. To do this is incredibly hard and requires a composite of different techniques to deliver a single platform which empowers all users to build and deploy machine learning models.
In this session we discuss how Azure & Databricks enables a Data Science as a Service platform. We look at how a DSaaS platform is empowering users of all abilities to build models, deploy models and enabling organisations to realise and return on investment earlier.