Hi! My name is Krishna Rupanagunta. A big part of this blog is devoted to the art and science of decision making: from how to transform problem solving in Enterprises to the massive opportunity that all things data presents in today’s business environment. I have always been in the problem solving space: from optimization and simulation all the way to the current AI/ML explosion. Here’s my professional journey: http://www.linkedin.com/in/krishna-rupanagunta
My other (real?) passion is to explore the endlessly fascinating complexities of the human experience at the confluence of Technology, Economics, and Psychology: what that means to how we as individuals and societies make choices, big and small. I will share my reading list and whenever I can, write up my review of the book as well. And if you are up for a book discussion, you can always reach out to me.
I would love to hear from you – feel free to leave a review/comments on my posts, and if you do want to go beyond that, my email: rsrikrishna1@gmail.com.
The Cognitive Enterprise
Data and AI is transforming the Enterprise like never before. And I am fortunate to be in the thick of how this is playing out in companies, big and small.
Random Musings
My thoughts on a wide variety of topics, that try and explore the human mind: how we think and how we make decisions
Book List
I read – and by conventional measures, read a lot. The list of books that I am reading/have read with my own little review
Notes from Vacation: Logical Positivism, LLMs, and Agents
Postcard from a vacation: I went to Vienna for the palaces. I came back thinking about LLMs, meaning, and what we’re really building in Enterprise AI. A century-old philosophy debate turned out to have a lot to say about how we ground these systems. A few reflections from the trip.
The Difference That Makes a Difference: The case for Data in Enterprise AI
In 1909, biologist Jakob von Uexkull coined the term umwelt — the perspective-dependent universe of salient information that an organism uses to navigate the world. Every species constructs its own. The electromagnetic spectrum is vast, but humans perceive only a narrow band that we call ‘light’. That is our umwelt: it defines our experience of…
#82: How do we evaluate Agentic AI Systems? Part-2
Continuing from my previous post, this is an attempt to define metrics for measuring the quality of Agentic AI Systems
Celebrating the learning and curious mindset 