2019 re:Invent re:Cap

Amazon Web Services’ re:Invent conference was quite the experience and included hundreds of sessions covering a wide range of topics. But the clear frontrunners were analytics and machine learning (ML). Andy Jessy, CEO of AWS, emphasized AWS’ ability to provide AI/ML tooling, process and infrastructure. A good portion of his announcements through the first two […]

Dreamforce 2019: Analytics First Impressions

Dreamforce 2019 was a whirlwind of activity and announcements and the analytics space was no exception. While more details will be shared in the coming weeks and months on new features and functions, I thought it would be helpful to share some first impressions. The Einstein team is making a major investment in industry-specific solutions. […]

Four Ways AI Can Be Used in Medtech

Four Ways AI Can Be Used in Medtech

The healthcare industry is rapidly evolving and advancing to better improve patient experiences and outcomes through the use of medical technology. Sales of medical devices are expected to reach $800 billion by 2030, but there is an increasing trend that many healthcare organizations don’t know what to do with—the rise of artificial intelligence (AI) and machine […]

Battling Customer Churn with AI and Machine Learning: Q&A with Colin Gelfer

One of the most common uses cases for utilizing AI in the enterprise space is predicting “customer churn”. But many companies are still grappling with where to start. We sat down with Colin Gelfer, who leads Atrium’s focus on customer solutions, to talk about ways he is helping organizations understand how to utilize AI and […]