I’ve been a big fan of MIT mathematics professor Dr. Gilbert Strang for many years. A few years ago I reviewed the latest 5th edition of his venerable text on linear algebra. Then last year I learned how he morphed …
Book Review: Linear Algebra and Learning from Data by Gilbert Strang Read more »
In early 2018, I had a conversation with some of my leadership team about what we could build to address our client’s most pressing needs. We knew data was growing at an exponential rate, and analytics were critical. Our decision …
IBM Cloud Pak for Data: Two years of modernizing your data for AI Read more »
In this special guest feature, Dean Gonsowski, Chief Revenue Officer at Active Navigation, focuses on what steps a company needs to follow to review, understand and clean-up their data to eliminate security risks. Also included is a short list of …
In this contributed article, Ohad Arazi, President and Chief Executive Officer of Zebra Medical Vision, explains that while AI can’t yet fight the coronavirus directly, it can play a central role in creating the efficiency needed for healthcare professionals to …
Prioritize, Don’t Ration: AI Will Lead Healthcare through the Post-COVID Bottleneck Read more »
Modern Data and AI application deployments are expanding through open source containers and hybrid multi-cloud support, but how can you achieve the benefits of infrastructure optimization and unified operationalization without vendor lock-in?
Our friends over at cloud-neutral colocation data center company Interxion have published a whitepaper titled, “Building Powerful Enterprise AI Infrastructure: How to design enduring infrastructure for AI,” which details the requirements of an ideal infrastructure environment when it comes to …
Around the world, companies are pivoting to adjust to an entirely new reality. Business-as-usual means something far different today than it did just a few months ago. For most enterprises, digital transformation isn’t just a distant business objective—now it’s an …
We recently caught up with our friends over at PNY to discuss a variety of topics affecting data scientists conducting work on big data problem domains including how “Big Data” is becoming increasingly accessible with big clusters with disk-based databases, …
For our current edition of “Video Highlights” I’d like to offer this talk that will review a series of recent papers that develop new methods based on machine learning methods to approach problems of causal inference, including estimation of conditional …
Video Highlights: Machine Learning and Causal Inference Read more »
In this special guest feature, Corinne Stroum, Director of Product for Utilization and Cost at KenSci, discusses how healthcare’s migration to electronic medical records in the early 2010s heralded an age of promise: increased efficiency, an opportunity to understand disease …