Over the years, I have seen some projects do well, some fail spectacularly and many more fizzle out. Here are a few observations on some of the behaviors exhibited as well as activities that seem to correlate with generally good outcomes for projects. As always, this list is not exhaustive; neither is it prescriptive.... Continue Reading →
Why do AI projects fail?
I have often said that the most valuable thing that I have built from my years in Analytics Consulting is a ‘failure portfolio’. Each failed project has taught a lot, and it comes down to some foundational issues Are you solving the right problem? Call Center Operations are always trying to cut down the call... Continue Reading →
The Economics of Decision Making
I have been thinking about the economics of Decision Making for a while now. And also, currently reading Prediction Machines - very interesting read. This takes extra relevance as the economics of AI come into focus as enterprises continue to invest in AI, in search of the next engines of productivity. Prediction Let's start with Predictions... Continue Reading →
Building the Execution muscle
"It is all about execution, stupid!", said a wise man. And it is nowhere truer than in AI implementations these days. A vast majority of AI inspired projects start with a lot of fanfare: budgets are lined up, a prototype is funded, a few data scientists go to town with the latest and coolest AI... Continue Reading →
Enterprise AI: Hype vs. Reality
During the early days of the IT hype cycle in the late 1980s, the economist Robert Solow famously said, "You can see the computer age everywhere except in the productivity statistics". This came to be called the 'Solow computer paradox' and spun a body of research on the true impact of IT spends on productivity,... Continue Reading →
Celebrating the learning and curious mindset 