An Introduction to Machine Learning Frameworks

Customers we are talking to today have expressed great interest in how to apply Machine Learning to their analytics initiatives. The primary reason behind this interest is that traditional tools aren’t capable of adequately mining and collecting the full value of big data leading to poor decision making and untapped revenue (or cost savings) potential. […] Read More

Looking Beyond the Hype for True Machine Learning Performance & Efficiency

The recent hype surrounding machine learning technology has created an abundance of articles publishing about the basics of how computers learn. While many of these concepts are not new (document clustering is decades old!), it’s useful to understand the historical basics of AI before we dive into deeper algorithms. A few weeks ago, I came […] Read More

What Can Industry Learn From Public Safety?

An article in GovTech a few weeks ago caught my attention as it mirrors several of the sales and internal conversations we’ve had recently. It highlights a collaboration between Carnegie Mellon University and the City of Pittsburgh Bureau of Fire to develop predictive analytics program that helps better inform the fire department’s prioritization for building […] Read More

Uncovering Your Dark, Unstructured Data

Organizations are racing to take advantage of explosive data growth, but are they missing out on a treasure trove of dark, unstructured data? As you can imagine, the amount of raw, unstructured data is growing as fast as—if not faster than—structured data and the insights gleaned from this unexplored data could lead to huge advantages […] Read More

How Mission Critical Is Your Data?

When thinking about mission-critical activities, roles and responsibilities, titles with “finance,” “sales,” and “IT” often come to mind. Why is it that “data” doesn’t immediately come to mind as well? Information Week had an interesting article at the end of January discussing Gartner’s observation that the office of the Chief Data Officer will be seen […] Read More