Given the nature of data typically available from sales activities, the revenue side of many organizations is a great place to start when you’re assessing the feasibility of machine learning use cases. Sales managers and sales operations leaders who want to use data intelligently to drive top line growth and reduce their costs of sales have endless opportunities to use…

The healthcare sector is one of the most pivotal elements of the United States economy, and the COVID-19 crisis has only increased its prominence in our daily lives. Considering healthcare’s consequential status, it is alarming to take a look at U.S. economic and budgetary statistics. Empiric Health’s CEO Rick Adam and CTO Justin Schaper recently joined the DataRobot More Intelligent…

In the United States, Thanksgiving is around the corner, marking the start of the holiday shopping season. If you’re one of the 174 million Americans who go shopping on Black Friday, this day might bring back memories of looking through mailers at the discounts and sales and making plans for shopping. In the past year, the heavy discounts and early…

Artificial intelligence, machine learning, and deep learning  are powerful technologies that have created endless  possibilities. They contribute to AI chatbots, have put us on the cusp of fully self-driving cars, and help translate documents into human-like speech in dozens of languages. For many narrow applications, we have become accustomed to superhuman performance, such as in the case of AlphaGO beating…

DataRobot at the Snowflake Data Cloud Summit DataRobot is a proud sponsor of Snowflake’s Data Cloud Summit 2020, which takes place on November 17, 2020. The Snowflake Summit serves as a great opportunity to learn about key Snowflake partners, including DataRobot. As the leader in enterprise AI, our partnership with Snowflake, the leading cloud data platform, simplifies the movement of…

Businesses of all sizes are working to apply AI to their biggest challenges and most exciting opportunities. But they’re running into a severe headwind: lack of AI talent. In a Gartner survey of 3,000 enterprise CIOs from around the world, 54 percent identified skills shortages as their biggest AI challenge. To help enterprises move ahead with AI, DataRobot’s automated machine…

Kevin Doyle, October 2020 In 2012, Thomas H. Davenport and D.J. Patil published an article in the Harvard Business Review entitled Data Scientist: The Sexiest Job of the 21st Century. This was it. My time had come. I was seven years into my data science career, scoping, building, and deploying models across retail, health insurance,  banking, and other industries. I…

Data comes in all shapes and sizes. Just like our daily decision-making processes, the more points of view we have, the better the potential outcome. For example, when considering a hospital readmission dataset, we can use traditional features, such as patients’ gender, readmission date, and the number of previous lab procedures. In order to strengthen the artificial intelligence (AI) models…

Insurance pricing is a never-ending battle. With the advent of comparative raters in the P&C insurance market, prospects can compare prices on many companies instantly, and, not surprisingly, they usually choose the lowest offer. Inaccurate pricing is costly for insurance companies: it improves competitors’ customer base, reduces customer retention, and attracts risky customers. This is why actuaries spend hours on…