In 1651, Thomas Hobbes wrote, “reason … is nothing but reckoning (that is, Adding and Subtracting) of the Consequences of generall names agreed upon.” It is widely accepted that with this, he laid the foundation for the Computational theory of the mind. And as often happens in science, one thing led to the other and... Continue Reading →
What is learning?
I just finished reading a fascinating short story by Jorge Luis Borges called 'Funes the Memorious'. The story is about this person who has a 'perfect' memory and can recall every minute detail about everything around him. "... he had reconstructed a whole day; he never hesitated, but each reconstruction had required a whole day"... Continue Reading →
What do you do when data is the problem?
I want to take a quick diversion and put down my thoughts about a specific problem that I continue to see in multiple enterprises. We are working with a mid-size bank on the classic problem of improving digital cross-sell sales. Except that, here’s the rub – there is almost no historical data – for the... Continue Reading →
Scaling AI Systems: What can Cognitive Psychology teach us?
I have often discussed the topic of taking AI models (actually, all analytical models) out of the one-off, Proof-of-Concept concept into a scalable, engineering paradigm. Needless to say, this topic is not new – most organizations are struggling with this. Which begs the question: why is it so hard to scale these systems? Could be... Continue Reading →
AI in the Enterprise: The Postscript
Had a very good discussion on this topic at the AI Innovation Summit last week (full slide deck here). Here's the synopsis: Hype or Reality: Take the 10 Questions It is tempting to look for a cut-off score to be able to declare that AI in your enterprise is 'real'. And the right answer is... Continue Reading →