AI: It’s Not Just For the Big FAANG Dogs Anymore

It’s been said that AI has a 1% problem, that only the biggest tech firms—the Facebooks, Amazons, Apples, Netflixes, and Googles, or FAANGs, of the world--have the resources required to pull it off. But thanks to t Read more…

Most Data Science Projects Fail, But Yours Doesn’t Have To

In an effort to remain competitive in today’s increasingly challenging economic times, companies are moving forward with digital transformations — powered by data science and machine learning — at an unprecedented Read more…

MLOps Vendor dotData Boosts Automation with Containers

As data science platforms expand across enterprise applications like predictive analytics, automated machine learning vendors are steadily integrating AI models with emerging infrastructure to ease deployment and orchest Read more…

What is Feature Engineering and Why Does It Need To Be Automated?

Artificial intelligence is becoming more ubiquitous and necessary these days. From preventing fraud, real-time anomaly detection to predicting customer churn, enterprise customers are finding new applications of machine Read more…

NEC’s AutoML Spinoff Takes Off

A data science spinoff from NEC Corp. has raised additional early stage funding to accelerate development of its automated machine learning platform. DotData, San Mateo, Calif, was spun off from its Japanese parent co Read more…

On the Origin of Business Insight in a Data-Rich World

Where does business insight come from? In what circumstances does it arise? Does it erupt spontaneously when a critical mass of data has been reached? Or does it only present itself after a methodical analysis has been c Read more…

Making ML Explainable Again

Machine learning may seem like a mysterious creation to the average consumer, but the truth is we're surrounded by it every day. ML algorithms power search results, monitor medical data, and impact our admission to schoo Read more…