In a previous blog, I explained how data science capabilities, massive parallel processing (MPP)
and usability improvements in data warehouse appliances can help the bottom line—and why old-fashioned architectures might not cut it. But what does that look like in practice?
Research firm Quark +
In part one of the Capitalogix data science story, I focused on their strategic need for a data platform that supports speed, data variety and custom-built algorithms to find advantages for their business. A key success driver: they worked to make life better for the people on the front lines of
With the automated AI and ML advancements, you may find yourself wondering--what are the overall impacts to business? How will all of this technological progress impact the ways we run our business and perform our jobs?
This week's guest is Jorge Castanon, a senior data scientist for Watson Studio at IBM. Host Al Martin and Jorge discuss some typical data problems currently plaguing the industry -- and how Watson Studio makes dealing with those problems that much easier. Get ready for an in-depth, technical
Together, IBM and Cloudera offer a modern data platform with the governance and security to drive the future of AI and ML. Our solutions are optimized for the cloud, but we give our customers options to put their data where it works best for them.
Back when I was in school, one of the most difficult classes for my business degree was quantitative analysis. It wasn’t just hard, it was laborious to translate and solve business conditions and problems into algebraic equations by hand. In the beginning, it was merely optimizing output based on a
This week, host Al Martin welcomes Greg Bonnette, who is vice president of data & analytics strategy at Ironside. He discusses in-depth his role engaging with clients, striving to find appropriate business solutions to their data problems. Discover typical industry issues and hear how Greg
Learn more about Brittany Bogle in our new series profiling the technical experts helping clients reach their AI and machine learning goals. Her path to data science elite status is what makes her a valuable and unique practitioner for IBM clients.
This week on Making Data Simple, Dinesh Nirmal, vice president, IBM Data and AI Development, joins "Making Data Simple" to discuss current industry trends. Host Al Martin poses questions that are both technical and leadership-oriented. They discuss new, emerging technologies and swap their own