With THINK 2019 just around the corner, 12 through 15 February, there’s no better time to discover the variety of hybrid data management solutions and strategies, along with how each can help uncover actionable insights.
James Wade, Director of Application Hosting at Guidewell and IBM Analytics Hemanth Manda spoke with Dave Vellante in New York City on the eve of the 13 September taping of the Win with AI digital broadcast about the challenge of getting data ready for AI and how IBM Cloud Private for Data can help.
John Thomas, IBM distinguished engineer and director of analytics, talks with Dave Vellante in NYC ahead of the recent “Change the Game: Winning with AI event in NYC” to talk about how the IBM Data Science Elite team offers data science expertise as a service to a variety of clients to a variety of
Sreesha Rao, senior manager of IT applications at Niagara Bottling and Seth Dobrin, CDO of IBM Analytics, spoke with Dave Vellante in NYC on the eve of the 13 September taping of the Win with AI digital broadcast about the company’s efforts to save on plastic use by optimizing the settings of its
Rob Thomas, general manager of IBM Analytics, sat down with Dave Vellante in New York City on the eve of the 13 September taping of the Win with AI digital broadcast to talk about the evolution of big data and how clients can take the next leap forward into self-service analytics before using AI to
Building on the success of the IBM Chief Data Officer Strategy Summit Fall 2017, the IBM Chief Data Officer Summit Spring 2018 took place 1 - 2 May in San Francisco. We've collected a full social recap in the below Twitter Moment, as well as interviews and keynote videos for you to peruse.
Each insight is useful for only a limited amount of time, so organizations that don’t closely track their insights’ shelf lives may be making poor decisions because of outdated information. Learn how to fix this.
Where is AI headed? How should you be thinking about AI? What should you be doing with AI? To answer these questions, we recently convened a round table of tech influencers to discuss some of the most burning issues arising from AI — starting with why we should think of it as “augmented
Machine learning concerns in Silicon Valley tend to be different from those elsewhere in the U.S. — and outside of the U.S. So, here are five tips for those hearing about machine learning efforts in Silicon Valley, but who work elsewhere. These suggestions consider where machine learning and data