AI and Philosophy: Who are we ? Can we be immortal?
Preface: This blog is part of a series of blogs based on short essays compiled in the book “The Minds I” by Douglas R Hofstadter and Daniel C Dennett 1981 ( DH and DC) The short essay is called “On...
Author: L Ravichandran, 17 Jan, 2025
AI & Philosophy – Are We One Person Or One Personality?
Preface: This blog is part of a series of blogs based on short essays compiled in the book “The Minds I” by Douglas R Hofstadter and Daniel C Dennett 1981 ( DH and DC) The short essay called “ Borges...
Author: L Ravichandran, 9 Jan, 2025
Global Collaborations: Managing AI Safety Paradox
In last few years AI is transforming industries and also poised to have significant impact on our daily lives. The whole space has got significant impetus after commercial availability of GenAI. It is stated by many and multiple times that...
Author: Yeshwant Satam, 22 Nov, 2024
AI’s Blind Spot: Bias in LLMs
AI's Blind Spot: Bias in LLMs While the need to eliminate bias from AI solutions is well-documented and requires constant vigilance, developers often assume the underlying LLM itself is unbiased. A recent discussion at AiThougts.org, sparked by Diwakar Menon, highlighted...
Author: Yeshwant Satam, 6 Nov, 2024
Beyond the script: The future of digital customer service
In the past companies noticed that their customers are getting frustrated by waiting for customer service agents for simple queries. “All our agents are busy. Your call is important to us. Please wait.” became a dreaded message for customers looking...
Author: Yeshwant Satam, 24 Jul, 2024
AI use cases for the Manufacturing Vertical
AI Use cases in Industrial Vertical Lots of news and talk about AI Usecases in Technology, retail consumer and health care verticals. I feel we need more focus on manufacturing vertical which can get enormous benefits from this exciting new...
Author: L Ravichandran, 6 Jun, 2024
AI Symphony in Airline Enterprises
Good old-fashioned AI (or what is now called Traditional AI) is deterministic in nature, while Generative AI is more probabilistic. Traditional AI relies on explicit rules, logic, and predefined algorithms. Given the same input and conditions, it will always produce...
Author: Yeshwant Satam, 5 May, 2024
GenAI Adoption – Challenges in Manufacturing Enterprise
While discussions have been ongoing regarding the use of fine-tuned Large Language Models (LLMs) for specific enterprise needs, the high cost associated with cloud-based LLMs, including subscription fees and API usage charges, is becoming increasingly evident. This cost barrier has...
Author: Yeshwant Satam, 22 Mar, 2024
Gen AI adoption: Is your budget ready?
As the adoption of Generative AI in the enterprise accelerates, one question that will be on Management’s mind: "What does AI cost?" The answer, like most things in business, is nuanced: it depends on the specific needs of the enterprise....
Author: Yeshwant Satam, 17 Feb, 2024
The ‘Ops’ in the GenAI World
The world of AI and its operational cousins can feel like an alphabet soup: AIOps, MLOps, DataOps, and now, GenAIOps. The key lies in understanding their distinct roles and how they can collaborate to deliver full potential of your Gen...
Author: Yeshwant Satam, 2 Feb, 2024
Generative AI in Product Genealogy Solution in Manufacturing
The demand for guaranteed product quality through comprehensive traceability is rapidly spreading beyond the pharmaceutical industry and into other manufacturing sectors. This rising demand stems from both increased customer awareness and stricter regulations. To address this need, manufacturers are turning...
Author: Yeshwant Satam, 22 Dec, 2023
GenAi & LLM: Impact on Human Jobs
I met an IT Head of a leading Manufacturing company in a social gathering. During our discussion, when he convincingly told me that current AI progress is destructive from the point of jobs done by humans and it’s going to...
Author: Yeshwant Satam, 14 Nov, 2023