About

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


#72: Software 2.0 in the Enterprise

In 2020, Gartner identified Composability as a key factor to be resilient and agile in an uncertain and rapidly changing environment. Fast forward to 2022 and as most companies are bracing down an economic slowdown, it is becoming important for CIOs and IT leaders to accelerate the adoption of technologies that help business functions to:…

#71 Dealing with Uncertainty: Vast and fast data

You would have to be living under a rock to be unaware of the nervous uncertainty that has gripped the world today. And inevitably, this uncertainty has spilled over into the business world. Companies, big and small, are increasingly nervous about making bets into the future and even more so, trying their best not to…

#70: Time as a fundamental feature

Last week, I got into a discussion on Forecasting with a friend. He works with operational data flowing from server farms and in his line of work, he is interested in use-cases that go beyond the standard use-cases like load forecasting, what-if scenario analysis for failures to more nuanced (yet critical from an SLA point…

Let’s get a conversation going!


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