Jason Lewis

Jason Lewis


Jason Lewis researches data management strategies within the Gartner for Technical Professionals (GTP) group. Mr. Lewis covers big data frameworks and related technologies and provides insights on data ingestion, data integration and data transformation strategies.

Mr. Lewis has over 25 years of technology industry experience and has served as both CIO and CTO across a variety of industries. Before joining Gartner as an analyst, Mr. Lewis worked in private equity as an operating partner, providing advice and leadership to the firm’€™s portfolio companies. Mr. Lewis specializes in software development and data management strategies.

Years of Experience:

  • 3 years in total with Gartner
  • 26 years in IT industry
Monday, August 21, 2017 / 9:30 AM - 10:15 AM

Modern Data and Analytics Architecture for Digital Transformation

Digital business demands a modern data and analytics platform capable of supporting all aspects of data from acquisition, transformation, storage, analysis and delivery. Advanced analytics is the path to competitive advantage. Organizations with a modern data and analytics architecture can derive insights from information to surpass their competition and achieve market dominance.

Tuesday, August 22, 2017 / 2:10 PM - 2:55 PM

Putting the API in AI: Cloud-based AI Services

Bring clarify to the AI-branded services from the major cloud service providers and provide practical insight into how enterprises should approach these services for building AI & ML applications. Attendees will gain insight into core use-cases and functional requirements for using these systems to build enterprise applications.

Wednesday, August 23, 2017 / 9:30 AM - 10:15 AM

It's a Bird. It's a Plane. It's a Chatbot in the Cloud — Using Cloud-Based AI to Build a Chatbot

Define an architecture for building a chatbot using cloud-based AI services. Explore training and evaluation techniques and data management for these services, and understand the possibilities, limitations and requirements of building such a system.

Meet the analysts face to face.