Leadership principles in the Generative AI age
This article is a guest post by Paramu Kurumathur. [Pramu has over 37 years of industry experience and is an expert in Project / Program Management and Project Health. Paramu is a principal consultant with PM Power Consulting and the...
Author: Guest Post, 23 Jan, 2025
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
Synthetic Data: A Double-Edged Sword?
When LLMs started making inroads into the technology space over the last few years, training relied heavily on publicly accessible internet data. This data, in various forms including audio, video, images, and text, is full of subtleties and nuances, resulting...
Author: Yeshwant Satam, 29 Aug, 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