Challenges As a large, international organization, the customer employed Power BI users across different countries. The customer had a Power BI tenant sharing millions of users, which created dataset size challenges. These…
Challenge A major oilfield service company faced challenges with its edge infrastructure. The infrastructure had become bloated, which created a large data footprint and reduced the speed of workload deployment. …
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…
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…