Blog Posts: Technology
Every large company wants and needs scalable analytics. That’s always been the case. It’s also always been the case that it is a mighty struggle to achieve the scale required. As new technologies and performance enhancements become available, the volume…
How the Department of Energy Uses Data And Analytics to Help Organizations Recognize New Opportunities and Reduce Spend This post is the third piece in a series examining some of the U.S. Federal Agencies and the interesting data and analytics…
There have always been multiple ways of making sense of data and solving business problems with analytics. Perhaps one of the earliest classifications was the descriptive/predictive/prescriptive one, which I can’t remember whether I invented or borrowed (I feel like I…
First you might be thinking, why the heck is the International Institute for Analytics writing about Design Week? It doesn’t sound like it’s related to analytics, AI, machine learning, or data at all... BUT it is! It so is! This…
The move to the cloud is continuing to accelerate and most organizations I deal with are at minimum incorporating cloud platforms and processing into their architectures … if not pressing to move largely to the cloud. While there are many…
When I talk with analytical professionals about artificial intelligence, many are reluctant to claim expertise in the area or bill themselves as AI practitioners. “I don’t want to appear to be just jumping on the bandwagon,” one told me recently.…
Analytics, we have often assumed, is all about modeling, statistics, and algorithms. The more generous explainers of the field would admit that it is also about data—the integration, cleaning, and massaging of it. Few, however, think first of “deployment” when…
Nearly 200 of International Institute for Analytics’ clients, analytics experts, and members of the analytics community gathered in Portland, Oregon this week for the spring Analytics Symposium. International Institute for Analytics (IIA) also hosted its first Women in Analytics…
As data science and analytics teams continue to feel pressure to deliver more value from analytics, many organizations still struggle with the processes and technology required to deploy models into production and more rapidly make data-driven decisions. When evaluating how…