Operationalizing and scaling machine learning to drive business value can be challenging. While many businesses have started diving into it, only 13% of data science projects actually make it to production. Moving from the experiment phase of ML (machine learning) to real-world deployment is difficult, as the journey requires finetuning ML models to fit…
Deep Reinforcement Learning-based AI agents, developed, trained, and deployed using Microsoft Project Bonsai tool chain, open new possibilities of process manufacturing improvements. Coupled with the appropriate simulator to drive their training…
This blog is the second part of a two-part series. To read the first blog of the series, click here. In the first blog of this two-part series, we discussed…
Conservation is one of the most powerful tools we can use to meet our future energy needs. Every British thermal unit (Btu) of energy that we forego through conservation represents…
With Industry 4.0 comes the promise of leapfrog in productivity, quality, and the overall return on your manufacturing investment. A key driver of those improvements is the large amount of…
Today, organizations are moving to the cloud quicker than ever to support innovation, cost reduction, scale, agility, and increased governance to thrive in their digital transformation journey. Especially when regulatory…