Oct 12 Smart Data Webinar: Choosing the Right Data Management Architecture for Cognitive Computing

DATE: October 12, 2017, This webinar has passed. The recording is available On Demand.

TIME: 2 PM Eastern / 11 AM Pacific

PRICE: Free to all attendees

About the Webinar

The right DM architecture will enable continuous improvement.
The wrong one will haunt you forever.

Once developers have a knowledge management model – covered in our August webinar – they still have to deal with real world implementation constraints. Big data is a fact of life for most modern AI/cognitive computing apps, which usually means ingesting, sampling, or analyzing large data sets from disparate sources, ranging from IOT sensors to social media streams to news feeds and weather forecasts. Frequently, historical data in legacy systems will also be required to generate new insights.

This webinar will present a framework to help participants evaluate streaming data management tools, IOT technology stacks, and graph databases as support tools for their modern AI/cognitive computing projects. They will also learn about emerging open source projects and ecosystems that can help kick start their projects today.

About the Speaker

Adrian Bowles

Founder, Storm Insights

Adrian is an industry analyst and recovering academic, providing research and advisory services for buyers, sellers, and investors in emerging technology markets. His coverage areas include cognitive computing, big data / analytics, the Internet of things, and cloud computing. Adrian co-authored Cognitive Computing and Big Data Analytics (Wiley, 2015) and is currently writing a book on the business and societal impact of these emerging technologies. He has held executive positions at several consulting and analyst firms. Adrian also held academic appointments in computer science at Drexel University and SUNY-Binghamton, and adjunct faculty positions in the business schools at NYU and Boston College. He began his career with research and application development roles at IBM and GTE Laboratories. Adrian earned his BA in Psychology and MS in Computer Science from SUNY-Binghamton, and his Ph.D. in Computer Science from Northwestern University.

Data Topics