Yeshwant Satam
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...
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 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...
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....
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...
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...
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...
Generative AI in Plant Maintenance
Today almost all manufacturing verticals are highly competitive making it necessary to avoid any breakdown of the equipment in manufacturing process. This has made the past practice of Reactive Maintenance unacceptable. Aiming to eliminate breakdowns has other benefits like improved...