Are Your Insights Real-Time or Right-Time?

We’ve spoken to a number of customers recently and have noticed that many are focused on either “real-time insights” or “right-time insights.” As data volumes and velocity grow, we should spend some time looking at the intersection of both: identifying the right-time opportunities in real-time. Unfortunately, many organizations experience barriers when it comes to gaining […] Read More

Machine Learning: Your Toolbox

“Give a small boy a hammer, and he will find that everything he encounters needs pounding.” [1] I’ve seen this before in my life as a DoD contractor. The directive came down from on high, “thou shalt useth the cloud.” Given that the director was military and the agency was run as a military operation […] Read More

The Era of Personalization

Who actually likes going to the doctor? I guess there are always a few exceptions to the rule, but for most people, doctors’ visits are a necessary evil. The human element of medicine is a required one—right now, nuance is still a critical part of diagnosing most conditions; however, changing innovations in the data analytics, […] Read More

Eliminating Self-Service BI Limitations With Machine Learning

According to a recent ZDNet article by Doug Henschen, Machine Learning and Artificial Intelligence will dramatically change business intelligence and analytics in 2018 and into the foreseeable future. Previous trends in BI have revolved around self-service. New ML and AI features will help propel us past the limitations of the self-service Era. Henschen’s premise is […] Read More

FPGAs, the Next Big Machine Learning Chips

An article I read in EnterpriseTech last month—in conjunction with dozens of conversations at SC17 in November—has had me thinking a lot about fast, efficient machine learning capabilities. Many enterprises began to realize the power of machine learning in 2017, especially with hardware vendors like Nvidia capitalizing on the trend by building accelerators that are […] Read More