IBM is well-known for its powerful legacy of design throughout the 1980s. But the company’s focus on design dimmed until Phil Gilbert stepped up to the plate in 2010 and instilled design thinking throughout the company, empowering a legion of designers. The focus on hiring talent, investing in
The business that gets there first won’t necessarily win digital and AI game. It will be the one that ingrains digital and AI in its business as much as possible. Starting from applying intelligent data science where it matters most and progressively using it in every aspect of the business.
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.
Prescriptive analytics offers healthcare decision makers the opportunity to influence optimal future outcomes. Based on decision optimization technology, these capabilities allow users to not just recommend the best course of action for patients or providers, they also enable comparison of multiple
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
Today's manufacturing organizations operate in a dynamic environment characterized by increased complexity and uncertainty. The financial performance of manufacturers hinges on their ability to rapidly adapt to constantly-changing conditions, from demand fluctuations to delivery challenges while
IBM Hybrid Cloud Marketing VP Scott Hebner speaks with Big Data and Analytics Hub about the bets he’s placing on the offering to evolve into the company’s first AI platform and emulate WebSphere’s success.