Hi! My name is Krishna Rupanagunta. I write about the art and science of decision making: from the huge opportunity that AI presents in the Enterprise world (my day job) to the endlessly fascinating complexities of the human brain and what that means to how we as individuals and societies make choices, big and small.
I deeply enjoy reading on a smorgasbord of topics: Economics, History (American and Indian), Technology and of late, Psychology. Fiction makes its way every once in a while. 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
Of Tail Events
Thales of Miletus was a Greek mathematician and a pre-Socratic philosopher, generally regarded as the first philosopher on the Greek tradition. And here’s an interesting story about him: he predicted the weather and a good olive harvest for a particular year. He went a step further and reserved all the olive presses in advance at… Continue Reading →
Is the new normal ‘non-normal’?
When all of this is over, we will look back and think about why we ended up at a point where these stark, difficult choices had to be made – and what can we do to avoid these extreme situations in future? Needless to say, decision making under these conditions is hard – but then… Continue Reading →
Is the new normal ‘non-normal’?
It is time to rethink some of our fundamental assumptions underlying our decision making models. The normal distribution is a good place to start ..
