Author Greg Michaelson

"Confusion may be the right term to describe the state of artificial intelligence (AI) in business today. Nobody really seems to agree on what AI is, let alone how it should be implemented in an enterprise like a bank.” - 5 AI Solutions Every Chief Risk Officer Needs The statement above is why we we’ve developed a white paper tailored specifically…

$1.9 Billion. The amount HSBC, Europe’s largest bank, paid as a fine back in 2012 to avoid prosecution for facilitating money laundering. Banks are required to evaluate their customers and monitor their behavior in order to spot potential money laundering. This process, though, is often very expensive and highly inefficient. Watch this video to see how some banks are utilizing…

When it comes to lending, banks know that some loans will be paid back with ease while others are far riskier. These unpaid loans have a huge impact on profitability for banks. Watch our latest video on Risk Modeling for Lending to see how today’s machine learning in banks can predict risk with Artificial Intelligence (AI) when lending money to applicants,…

Today’s banks are embracing AI technology more than ever. The infographic below shows how banks are leveraging automated machine learning in three distinct ways: Increase Revenue Reduce Expenses Manage Risk Learn more about the specific financial institutions DataRobot currently works with in this blog post summarizing DataRobot’s AI Experience New York City event. Or, check out DataRobot’s Banking page to…

Food & Wine Magazine How we applied automated machine learning to predict the future for Prince Harry and his bride-to-be, Meghan Markle. On May 19, 2018, a wedding will take place at St. George’s Chapel, Windsor Castle in England to celebrate the marriage between Prince Harry of Wales and Meghan Markle. Every aspect of their wedding has been discussed in microscopic detail since their…

The second hardest part of becoming an AI-driven enterprise is deploying models to production. The hardest part is actually developing the models, but fortunately, advanced tools, like DataRobot, are creating ways to automate the process of building machine learning models. That means that moving to production is becoming the primary roadblock to getting value out of AI. There are a…

How AI can improve every interaction with every customer   One of the most irritating things in the life for the American consumer is interacting with big retail companies: cell phone providers, credit card issuers, and perhaps worst of all, cable providers. Despite knowing a great deal about me -- when I pay my bill, what services I consume, how…

There is a mountain of hype around big data, artificial intelligence (AI), and machine learning. It’s a bit like kissing in the schoolyard – everyone is talking about it, but few are really doing it, and nobody is doing it well (shoutout to my friend Steve Totman at Cloudera for that line). There is certainly broad consensus that organizations need…