Machine Learning Everywhere: Build Your Ladder to AI – #IBM
Are you ready for machine learning? 2018 is shaping up to be the year machine learning gains widespread implementation as enterprises prepare for the future of artificial intelligence. Learn how to accelerate your journey with a fast, scalable approach to machine learning that will give your company the competitive edge it needs.
What you’ll hear:
Learn from the leaders
Media giant AMC Networks reveals how machine learning and a data-centric approach helps them build intelligent applications faster and leading financial services company, USAA discusses how machine learning is a strategic initiative for their enterprise.
Gain knowledge from the experts
Silicon Valley innovation expert Jeremiah Owyang shares experiences working with brand-name companies to navigate business disruption.
Get a glimpse of the future from special guest Garry Kasparov
Chess champion and author Garry Kasparov shares his thoughts on the future of intelligent machines.
Join the conversation with industry influencers and machine learning experts Manjeet Rege, Daniel Yarmoluk, and Ronald van Loon as they offer post-event commentary immediately after the show.
Jump to a specific section of the show:
00:02:13 Machine Learning Challenges and Aspirations.
00:15:43 Demo: How IBM has Infused Machine Learning into Customer Interactions.
00:21:43 How to Get Started: Machine Learning in Hybrid Data Management, Unified Governance and Integration, Data Science and Analytics.
00:25:35 Demo: Database Performance Gets a Boost from Machine Learning.
00:30:43 Industry Panel: AMC Networks and USAA
00:39:57 Demo: Drive Faster Insights as Machine Learning Accelerates Data Classification and Quality.
00:46:39 Demo: Simplify Your Machine Learning Journey with Tools to Train a Model Behind Your Firewall and One-Click Deploy to the Cloud.
00:51:11 Guest Speaker: Garry Kasparov, Chess Champion and Author
01:09:54 Discussion: Interaction Between Humans and Intelligent Machines. Garry Kasparov, Jeremiah Owyang
01:25:18 Post-show Panel Discussion with Machine Learning Experts