DataRobot Blog

As we all know, 2020 has truly been a monumental year. Over the holiday season, take a step away from endless Zoom calls and questions about home offices and sit down with a great read about AI. Here are a few last-minute gift ideas so that you or family and friends can catch up on some of the hottest topics…

More people than ever are working from home these days, and many companies want to ensure that employees are remaining productive. AI ethics writer, researcher, and thought leader Fiona McEvoy recently joined the DataRobot More Intelligent Tomorrow podcast, hosted by Ben Taylor, Chief AI Evangelist at DataRobot, to shed light on the means and metrics employers are currently implementing to…

Many companies have been waiting for years to finally reap the benefits of their multi-year AI investments, and the necessity to respond to the COVID-19 pandemic has provided the impetus. It has triggered many industries to improve their data management, operationalize and update their model production process, and reassure customers that their AI can be trusted. They are using MLOps,…

The response from COVID-19's gradual recovery will be top of mind for nearly every firm and industry in 2021. Some businesses may become stagnant or never recover. Others will view the shakeup as an unprecedented opportunity to understand and improve their data and analytical assets, operationalize and update their model production process, and reassure customers that their AI can be trusted. Everyone is looking…

Dr. Hannah Fry is a mathematician, author, lecturer, BBC presenter, podcaster, and public speaker. Her TED Talk, The Mathematics of Love, has garnered over 5 million views. But before she became one of the most popular faces on BBC Four, Dr. Fry experienced a  setback, which triggered a prescient insight into one of today’s most poignant tech topics—AI Ethics.  In…

Most organizations invested in machine learning are experiencing what we at DataRobot call the AI production gap, which refers to the transition of models from the data science teams who develop them to the IT and DevOps teams who are responsible for deploying and monitoring them in production. Production AI Challenges Enterprises increasingly rely on AI and machine learning to…

Bias and Fairness Failures in AI The AI explosion has reached a fever pitch across dozens of industries. AI is being used more and more ubiquitously in the real world, with widespread impact on customers, consumers, and the general public. We’re also beginning to see more stories of unacceptable AI bias surfacing: hiring models that discriminate against women with the…

For many industries, 2020 has been a highly disruptive year, but few have experienced such drastic changes as the healthcare sector. The impact of the COVID pandemic manifests differently for healthcare providers (i.e., hospitals, pharmacies, and skilled care facilities) and healthcare-payers (i.e., insurance providers). Let’s dive into each of these areas to understand what the impacts of 2020 have been…

When I joined DataRobot in January, I was convinced that DataRobot was poised to lead the coming AI revolution. At the same time, I didn’t know what 2020 would have in store. During the start of the pandemic, there was uncertainty about the future and the coming quarters -- something I know all businesses experienced.  I could not be prouder…