At DataRobot, we love problems that involve large sets of data, discrete cause-and-effect events, and difficult predictions; which makes baseball the ideal playground for our data scientists. On our normal days, we work closely with our customers to build prediction models that demystify the future with advanced machine learning techniques. With the current lack of baseball games to watch and…

Baseball very much remains America’s national pastime, but Major League Baseball (MLB) has faced its share of challenges recently. Even a franchise as universally successful and iconic as the Boston Red Sox -- four World Series championships since 2004 paired with massive popularity off the field -- is not immune to these challenges. To address some of these off-field obstacles,…

Data science teams are scrambling to update their models in the wake of extreme and unforeseen worldwide changes brought on by the global COVID-19 pandemic. In the face of these unprecedented events, one of the key concerns among many data scientists is that their current models could be generating inaccurate or misleading predictions. In the webinar, AI in Turbulent Times:…

After a decade of relative economic stability, we are now confronted by the COVID-19 pandemic, with many financial analysts labelling it as a ‘black swan’ event. A ‘black swan’ is a metaphor for something unexpected which has a major impact. These type of events can cause significant disruption to business processes, financial markets, and our lives. Black swans prompt us…

If you’re not already doing AI, machine learning, or some form of advanced analytical project, research from McKinsey indicates that it’s now or never. Their conclusion, in a nutshell, is that laggards might never be able to catch up to the early adopters. If you’ve got AI or ML projects underway, the next question you can turn your attention to…

If you’re a commercial insurer, how do you evaluate your claims personnel? How do those evaluations impact your decisions on how to deploy individual adjusters? Typically, adjusters are assigned by pre-determined categories such as the line of business, size of the account, or region. Within these categories, adjuster performance is measured by various metrics, including closed-claims ratio, average time to…

In a recent webinar, Paxata's Senior Product Marketing Manager Mike White and I demonstrated Paxata's unique ability to eliminate the most common bottleneck in AI and machine learning. 80 percent of time spent on AI and machine learning efforts is wasted exploring, combining, and shaping data. Three critical but easily overcome obstacles create that problem, and Paxata makes quick work…

For the fourth year in a row, we’ve been named one of the world’s most innovative artificial intelligence startups by CB Insights for our pioneering approach to democratizing enterprise AI. CB Insights’ AI 100 list recognizes the most promising and impressive private AI companies worldwide. The AI field is rapidly expanding – Crunchbase currently lists more than 13,000 companies who…

HIMSS20 is around the corner and, like most, I am contemplating the conversations I will have there and am reflecting on the impact of AI on the future of healthcare. While top trends shaping the healthcare industry include consumerism, expanding value-based care programs, increasing volumes of previously unavailable data, and a continued shortage of healthcare professionals, I don’t consider AI…