Autonomous AI Systems: Entering A New Era Of Technology With Shirish Nimgaonkar
Finding Genius Podcast
Richard Jacobs
4.4 • 1K Ratings
🗓️ 13 May 2025
⏱️ 20 minutes
🧾️ Download transcript
Summary
What is “self-healing AI?” How do prediction and personalization deliver a superior ROI and enhanced user experience? In this episode, we are joined by Shirish Nimgaonkar to dive into this intriguing and revolutionary topic…
Shirish is an entrepreneur, advisor, and investor who focuses his skills on software and AI. He is currently the Founder and CEO of eBliss, a revolutionary AI-driven autonomous end-user computing platform dedicated to streamlining the digital workplace – boosting operational performance, anticipating and resolving IT issues, and elevating both productivity and user satisfaction.
Hit play to find out:
- How businesses can reduce operational costs using personalized AI.
- The problems that exist within different categories of devices.
- The ways that predictive analytics can improve productivity.
- Industries that benefit from AI solutions.
Shirish is a seasoned tech leader who has led and scaled high-growth software companies. He has held leadership roles at several PE and VC-backed tech firms and previously founded and led the South Asia group at a global investment bank, where he oversaw over 30 client acquisitions. Currently, he serves as an Entrepreneur in Residence at Harvard Business School and advises multiple startups. Shirish holds degrees from IIT Bombay, Stanford, and Harvard Business School.
You can find out more about Shirish and his work here!
Episode also available on Apple Podcasts: https://apple.co/30PvU9C
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Transcript
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| 0:00.0 | Hello, this is Richard Jacob |
| 0:01.4 | My name is in this podcast. |
| 0:03.4 | I guess today is Sheree for a real genius. |
| 0:07.0 | 95% of people in any profession are good meals to be qualified in license. |
| 0:11.3 | AI, they become very good at what they do, but only |
| 0:15.3 | 1% of the media. |
| 0:16.3 | Yeah, tell me a bit of a background and how you got it AI in the first place. I've got to find them. |
| 0:21.5 | Rich, I have been in the United States for over 10 years now. |
| 0:26.4 | I started out as a stuiting of engineering. |
| 0:30.4 | I was always very interested in math and figuring out how things work in the real world. |
| 0:36.6 | So I went to college to study engineering, |
| 0:41.0 | in mechanical engineering, but predominantly focused on math, |
| 0:44.8 | and what used to be called at that time as operations research, |
| 0:49.7 | which in many ways is the precursor to the modern artificial intelligence frameworks within... |
| 0:56.6 | Are those experts for its systems or something? What did you call it? |
| 1:00.4 | Operations research. It was just a fancy word to talk about a whole range of optimization problems. |
| 1:08.0 | It's essentially a combination of statistics and analytics, and then subsequently, we sort of |
| 1:15.2 | induced big data in the picture as well. I worked a lot with thinking about complex systems, |
| 1:23.7 | figuring out ways to quantify them, and then come up with equations that would help us to construct |
| 1:30.5 | complex systems and essentially help us to solve them and also predict what can happen |
| 1:36.9 | with respect to the changes in those systems over a period of time. |
| 1:40.4 | And so that's what I'd studied. |
... |
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