Datatron announced today the latest version of its enterprise-grade MLOps platform, Datatron 3.0. Updates include increased flexibility, a new interface that simplifies data scientists’ workflow, and ease-of-use enhancements for the operational teams, resulting in an additional productivity gain of up to 68%.

Datatron today announced that The Business Intelligence Group has named the company a winner in its Artificial Intelligence Excellence Awards program. Datatron provides an enterprise-grade, cloud-native Reliable AI™ platform that enables businesses to operationalize AI and ML models easily, accurately, and rapidly.

To kickstart 2022, Datatron is offering five companies the chance to take part in a hyper-accelerated program that guarantees their AI models will be deployed or governed in less than two weeks, the company announced today.

Companies blindsided by the high cost of cloud computing are reexamining its use to attain a higher ROI.

While citizen data scientists may be able to help with some parts of data science projects, the needed expertise lays with real data scientists, who have the required mathematics and statistics training to avoid bad outcomes.

Organizations in almost every sector are actively working to see how they can leverage AI and ML to accelerate their business and achieve greater outcomes. In some circles, citizen data scientists have been widely promoted as being the solution to help organizations accelerate their ML/AI journey.

But as the saying goes, caveat emptor. While there are some benefits to having citizen data scientists, they are no silver bullet – and they certainly aren’t a replacement for true data scientists.