Thought Leadership

The emergence of artificial intelligence (AI) represents the forthcoming wave of technology integration that the federal workforce must comprehend.

This post by Principal Data Scientist Steve Kuo highlights the immediate need for Chief Artificial Intelligence Officers at the departments and agencies across the federal government.

Simatree had the pleasure of hosting future consultants, data scientists, and software engineers for Take Your Child to Work Day.

AI is an ever increasingly talked about technology, with many people and companies exploring how to leverage its capabilities. However, not many people truly understand how AI works, what the risks associated with it are, and how bad actors can misuse it.

During our All Hands meeting last week, the Simatree team held a friendly competition using ChatGPT and DALL-E. The results were as fun and hilarious as you might expect. And, like all good competitions – there was a crowned winner!

Patrick McCreesh, the Managing Partner at Simatree, sits down with the PerceptivX team to discuss how organizations can do more with their most critical assets- their people and their data.

For the next two months, we will be highlighting a few of the amazing women of Simatree. Learn more about our sixth featured team member, Katie Lucas.

Inc. Magazine revealed today that Simatree ranks No. 1807 on its 2023 Inc. 5000, an annual list recognizing the fastest-growing private companies in the U.S. based on revenue growth rate.

For the next two months, we will be highlighting a few of the amazing women of Simatree. Learn more about our fifth featured team member, Justine Hu.

For the next two months, we will be highlighting a few of the amazing women of Simatree. Learn more about our third featured team member, Mellissa Perez.

For the next two months, we will be highlighting a few of the amazing women of Simatree. Learn more about our second featured team member, Catherine Quinn.

Data-driven businesses are hard to build. In fact, any sort of data program is hard to launch in an organization. The first step is often understanding the “business-side” of the data and deciding on one or two use cases that make good pilots or proofs-of-concept.