How a Start in Reality Television Showed Me Success in Data Science

How a Start in Reali...

Fun trivia fact: I have a background in reality television. No, I wasn’t on camera, but I was one of the guys behind the scenes making sure all the magic happened. Somehow, now I am immersed in the data science and technology space. I’ve had people ask me, “How on earth did that happen? Do […]

IBM Paves Way for Closing Skills Gap in New AI Tool Release

IBM Paves Way for Cl...

“Deep Learning-as-a-Service” (DLaaS) can now be added to the “as-a-service” trend thanks to IBM’s recent announcement that it launched a tool within Watson Studio that “allows data scientists to visually design their neural networks and scale out their training runs while auto-allocation means paying only for the resources utilized.” According to the Wall Street Journal, […]

Open Data Science’s March Madness 2018 Bracket Update

Open Data Science...

After 48 games and millions of busted brackets, the 2018 NCAA Men’s Tourney has been whittled down to the Sweet 16. And as expected, plenty of exciting matches occurred over the weekend. The most exciting being the most significant result of #16 seed UMBC’s triumph over #1 seed Virginia, the first time that’s happened in […]

Drumroll Please: The ODSC March Madness 2018 Bracket Predictions

Drumroll Please: The...

It’s that time of year, the snow has melted, flowers are starting to blossom, and the country is consumed by the fever of March Madness. Today, March 15th, marks the true kick-off of the 63-match tournament, famous for its thrilling competitive play and heart-stopping upsets. The tourney has a been focus of the data science […]

A Look at Gary Marcus’s Deep Learning: A Critical Appraisal

A Look at Gary Marcu...

There are many mixed opinions regarding the future of deep learning, and how far it can really go. Gary Marcus’s paper, “Deep Learning: A Critical Appraisal” overviews the social and more technical concerns with deep learning, and examines the possibility of it simply hitting a wall. Having only reached mainstream technology at acceptable production standards […]

Why You Should Hire a Chief AI Now

Why You Should Hire ...

Artificial Intelligence is like Lego; to build something nice, you need to combine the right pieces in the right way. Most of us have played with Lego when we were small. I did at least and I absolutely loved it. I can remember the days when my friends and I were playing with Lego for […]

McKinsey’s Succinct AI Guide Helps Executives Quickly Understand

McKinsey’s Suc...

Day in and day out, news headlines, blog articles, Youtube channels and more feature the different ways in which technology regularly impacts various aspects of business. A keyword through all of the talk and noise is “AI.” The term, “artificial intelligence” might just be the buzzword of 2018. As the AI race continues and grows […]

Staying Grounded in the Hyped World of Deep Learning

Staying Grounded in ...

Deep Learning. It is a phrase that more and more executives and developers alike are hearing in stand-up meetings and the board room. Companies from Google to IBM to Microsoft, are investing millions of dollars and man-hours into the development of deep learning platforms and products and spending largely on advertising and marketing to show […]

Abysmal Project Failure Rates – DataOps to the Rescue for AI?

Abysmal Project Fail...

Reports like the Standish Group’s CHAOS paper point to the continually abysmal failure rate of software projects. Abysmal rates vary by report, of course, but all paint the same bleak picture. Most software projects fail by some critical measure, time, budget, quality or requirements. In the context of data science and AI projects, can we […]