‘Game’ theory: Perfecting in-app purchasing through analytics

August 23, 2017

When you think about buying and selling, it’s usually about a tangible product or service. But what if the job is to sell new forms of reality and value itself? If you’re an online gaming company, that’s exactly your goal: to create and sell virtual worlds of escape and adventure, with the “value” increasingly coming… Read More »

Lessons from the Sentient Enterprise: Business data meets business culture

August 17, 2017

“Lessons from the Sentient Enterprise” is a series of posts timed around the publication of The Sentient Enterprise, a new book on big data analytics by Oliver Ratzesberger and Mohan Sawhney. Each post in the series highlights a major theme covered in book and at executive workshops being held in conjunction with its upcoming release… Read More »

How Curiosity Saves Your Company … And Turns Your People Into Citizen Data Scientists

July 21, 2017

I’ve written before on the importance of people sharing data as broadly as possible in an organization. A company may have hundreds, or even thousands, of people with “analyst” in their job titles, but if you keep access to data centralized, you’re also keeping the capacity for innovation centralized — and limited. At the same… Read More »

Why “Unsupervised,” Autonomous Cars are Right Around the Corner

May 31, 2017

Autonomous drive – cars and trucks that pilot themselves – is perhaps the most rapidly maturing areas of technology today. I know a senior IT executive at a major car company who, in the late 2000’s, served on a team dedicated to safety electronics like braking assist and lane monitoring for drowsiness detection. After moving… Read More »

AI is Red Hot. But Where Is All This Innovation Pointing Us?

April 26, 2017

It’s hard to overstate just how quickly Artificial Intelligence (AI) is evolving. Driven by a combination of cheaper and more powerful cloud infrastructure, richer data sets, and new analytic techniques, each new year seems to be a banner one for AI innovation. Advances in tasks like image and sound recognition, improvisational thinking and deep learning,… Read More »

Disruption and Leadership on Gartner’s DMSA Magic Quadrant

March 7, 2017

It’s no secret that the analytics marketplace is going through major disruption as organizations look for solutions with the power and flexibility to tackle wide ranging uses cases involving new analytics on more diverse types, formats and sources of data. In fact, demand for next generation architectures is such that Gartner has changed both the… Read More »

Teradata Strengthens Hybrid Cloud Commitment with Teradata Database on Azure

January 11, 2017

Choice and flexibility are everything to companies sifting through all the available analytic platforms on the market today. This is evident in the strong shift toward the adoption of hybrid clouds — a solution that more than 90 percent of Teradata customers surveyed in 2016 plan to employ by 2020. Using an analytics solution that… Read More »

Expect the Unexpected: Real Stories of Challenges that Slow Digital Transformation

December 7, 2016

Whether it’s the famous Moore’s law, or our own Sentient Enterprise capability maturity model for analytics at scale – there are lots of frameworks for understanding how innovations and breakthroughs build exponentially on one another to fuel rapid digital growth. One thing that’s becoming increasingly clear is that analytic solutions must harness and scale innovation… Read More »

Disrupt Thyself: A 3-Point Plan For Innovation At Large Enterprises

November 29, 2016

Clayton Christensen’s foundational writings on disruption – how innovation drives new markets in place of old ones – is required reading for anyone in business.  So embedded is the concept, in fact, that the question is no longer how and why disruption happens, but who the winners and losers are. That’s given rise to a… Read More »