Simplifying AI and Machine Learning with Watson Studio

Simplifying AI and Machine Learning with Watson Studio

Tuesday, June 19
2:50 PM - 3:30 PM
Meeting Room 230A

Are you seeing benefits from big data, AI and machine learning? Some companies are challenged by the complexity of the tools, access to quality data and the ability to operationalize these technologies. IBM’s Watson Studio addresses the needs of developers, data scientists and business analysts – who need to create, train and deploy machine and deep learning models, analyze and visualize data – all in an easy-to-use platform. Watson Studio supports Apple’s Core ML with Watson Visual Recognition service. It provides a suite of tools for data scientists, application developers and subject matter experts to collaboratively and easily work with data and use that data to build, train and deploy models at scale. When coupled with IBM Watson Knowledge Catalog, it enables companies to create a secure catalog of AI assets including datasets, documents and models. In this session, you will learn how to use these new offerings to solve real world business problems and infuse AI into your business to drive innovation.

Presentation Video


Sumit Goyal
Software Engineer
Sumit is a software engineer in the IBM Watson Studio development team. He works on the integration of tools with compute engines for large-scale analytics. His work focuses on machine learning, simplifying AI, and making data science workflows more efficient. As an engineer with data science skills, he helps clients solve their technical and business challenges and realize their data analytics goals. He holds a degree in Automation and Industrial IT. Sumit shares his knowledge through talks at various meetups.