85% of enterprises view Artificial Intelligence as a strategic opportunity, recognizing its ability to turn data into real business value. Yet many don’t have a data foundation capable of rapidly analyzing data in a simple, efficient manner. With the recent explosion of data there needs to be a paradigm shift in how that data is managed and accessed to achieve competitive advantages. Databases must be both powered by AI for greater optimization and built to support AI application development.
Join 451 Researcher’s Matt Aslett, Research Vice President and IBM Fellow, Sam Lightstone as they explore the concept of an AI database and how it can be used to better unlock the value of your data. Topics covered during the webinar will include:
- How AI allows businesses to spend more time on innovation instead of administration
- How machine learning optimization helps you find and act on valuable insights faster
- How to build stronger AI applications, and get them in the hands of users more quickly
- How IBM can help modernize your information architecture with the Db2 family
AI isn’t the future; it’s how savvy organizations are carving out real business advantages in the present.
Register today and learn how an AI infused data foundation can deliver comprehensive data strategies and transform your business.
Speakers:
Matt Aslett
Research Vice President, 451 Research’s Data, AI and Analytics Channel
His primary area of focus currently includes distributed data management, data catalogs, business intelligence and analytics, data science management, and enterprise knowledge graphs. Matt has been named by AnalyticsWeek as being among the top 200 Thought Leaders in the field of Big Data and Analytics. He holds a BA in multimedia journalism from Bournemouth University in the UK.
Sam Lightstone
CTO for Data & IBM Fellow, IBM Data and AI
I am the CTO for data products in Analytics Platform. This includes our database products for noSQL, SQL, Big Data, data warehousing, data virtualization. This work encompases multiple platforms including public cloud, private cloud, IoT, appliance, and traditional software.
Comments