Generative AI: What's Coming Next
For years, artificial intelligence was, for most companies, a background promise: something that sorted emails, recommended products or detected fraud, but rarely surfaced in the boardroom...
Perspectivas en inteligencia artificial, analítica, automatización y seguridad para líderes que ejecutan.
For years, artificial intelligence was, for most companies, a background promise: something that sorted emails, recommended products or detected fraud, but rarely surfaced in the boardroom...
For years, enterprise chatbots promised much and delivered little: rigid decision trees that replied "I didn't understand your request" at the first off-script question. Today the conversation has...
At 3 a.m., the on-call engineer's phone buzzes for the tenth time in an hour. Five of those alerts describe the same incident from different angles; the other five are noise. By the time someone...
In recent months, many boards have discovered the same uncomfortable truth: no matter how sophisticated the AI model an organization wants to deploy, the results never exceed the quality of the data...
For years, speaking to a machine and expecting a sensible answer was the stuff of science fiction. In 2019 it stopped being so. Conversational assistants -chatbots on websites, voicebots in the call...
I have spent months in conversation with business leaders across LATAM who already have dashboards, reports and metrics to spare, and yet they still make most of their decisions by reacting:...
Every time I visit a client in this first half of 2017, the same question comes up, almost always with a hint of skepticism: "Is machine learning something real for my company, or is it just another...
A few months ago, alongside a data team, I reviewed a customer churn prediction model that had been "finished" for nearly a year. It worked beautifully in the data scientist's notebook, with an...
Every December I repeat the same exercise with my team: we close out the year's projects, look at what we promised in January and ask ourselves what we left undone. But the most valuable exercise...
The first time I saw a Hadoop cluster processing a full day of a retailer's transactions, it became clear to me that the problem was no longer storing the data: it was making it pay off. For several...