Ai+ Training

Machine learning tools are evolving to make it faster and less costly to develop AI systems. But deploying and maintaining these systems over time is getting exponentially more complex and expensive. The AI model itself is only a small fraction of what it takes to deploy and maintain a model successfully in a business application. 

In this presentation, we’ll show how companies can use DataOps to improve their rate of success by focusing on the underlying ‘data factory.’  We’ll share practical steps for implementing DataOps, as well as real-life examples of companies that used DataOps to quickly innovate, test, and deliver the kind of error-free, on-demand insight that leads to one successful business decision after another.