Applied AI
Practical use in operations, evaluating tools and vendor claims, verification and guardrails, and why adoption stalls.
A Wisconsin small business building workforce training for organizations and institutions that depend on technology their people have to use well.
Practical use in operations, evaluating tools and vendor claims, verification and guardrails, and why adoption stalls.
Moving people from reporting to decisions, data quality that holds up, and adoption treated as a planned outcome.
The decision layer: what condition data means for an asset, whether it warrants action, and who acts.
Organizations and institutions where technology, data, and people have to work together.
Pamisva builds and delivers technical workforce training in applied AI, business intelligence, and predictive maintenance. The material is written for working adults, and it draws on published industry and instructional practice rather than any one organization’s internal methods.
Pamisva is the trade name of Virdi Technical Services LLC, a registered Wisconsin small business. It was founded by Abhijit (AJ) Virdi, who has spent more than ten years in enterprise data, analytics, and industrial technology, including eight years at Pentair building reporting and business intelligence and training the people who had to use it, and who has taught in the Digital Manufacturing Leadership program at UW-Milwaukee’s Connected Systems Institute. He still does this work, which is why the material is current rather than remembered.
Before that career there were years on the frontline, and later years on stage in standup and theater in front of live audiences. Technical training is usually written by people who have never had to hold a room that would rather be somewhere else.
Pamisva is independently owned and operated. It is not affiliated with, endorsed by, or acting on behalf of any other organization, and it uses no confidential or proprietary information belonging to any third party.
Tell us who needs to learn what, and in what setting. We will come back with a scope and a timeline.