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...
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...
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...
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...
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...
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...
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...
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...
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...
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...
