At TOTAL, we understand that running an oil well profitably and efficiently is mechanically and technically complex. That’s why we are always looking for new ways to innovate and become more efficient.
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
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
In the coming weeks, you have three great opportunities — two in the U.S., one in Europe — to network with your industry peers as you meet and learn from IBMers who are reinventing analytics for organizations large and small.
Rob Thomas, general manager of IBM Analytics, discusses the principles that guide the IBM Analytics business and have led to its latest major offering: IBM Cloud Private for Data, a platform for high-performance analytics that powers cloud-based applications so companies can be ready for AI.
Data science and machine learning provide the basis for business growth, cost and risk reduction and even new business model creation -- but implementing predictive analytics does present some challenges. IT Central Station members have shared tips that help organizations overcome the challenges in
“Content management” — at least as traditionally defined — is no longer the straw that stirs the process drink. It’s a key element, yes. It’s an important set of tools in the enterprise toolkit, yes. But it is not the only game in process town.
So what happens now when we go beyond the frontiers of the data warehouse and into the world of the data lake? – the world of Hadoop, of NoSQL, the world of schema on read, of discovering the data as is? For many organizations, the holy grail is to reap the benefits of the data lake while retaining