-
Originally published in Forbes Even as large language models have been making a splash with ChatGPT and its competitors, another incoming AI wave has been quietly emerging: large database models. LDMs complement LLMs by capitalizing on the world’s other main data source: enterprise databases. Rather than tapping the great wealth of human writing such as books, […]
-
Originally published in Forbes Deep down, we all know that we should embrace difficulties rather than dodge them. As John Adams put it, “Every problem is an opportunity in disguise.” It follows that the greatest opportunities come from the greatest challenges, so let’s salivate over the most consequential business predicament of them all: optimizing our biggest endeavors, the […]
-
Originally published in Forbes Why in the world would the decades-old industry of machine learning need a completely new paradigm? Imagine you’re developing a rocket. If you don’t stress test it—in its intended usage (via simulations, wind tunnels, etc.)—then its launch will be a shot in the dark, if not entirely scrubbed by sensible decision makers. […]
-
Originally published in Forbes The story about DeepSeek has disrupted the prevailing AI narrative, impacted the markets and spurred a media storm: A large language model from China competes with the leading LLMs from the U.S. – and it does so without requiring nearly the costly computational investment. Maybe the U.S. doesn’t have the technological lead we […]
-
Originally published in Forbes Note: Ravi Jain, Chief Technology Officer of Tapestry, the project at X (Alphabet’s innovation lab) discussed in this article, will deliver a keynote about this project at Machine Learning Week, June 2-5, 2025 in Phoenix, AZ. Humanity’s largest machine is demanding an overhaul. We built this behemoth haphazardly and yet we rely on […]
-
Originally published in Forbes Note: Ravi Jain, Chief Technology Officer of Tapestry, the project at X (Alphabet’s innovation lab) discussed in this article, will deliver a keynote about this project at Machine Learning Week, June 2-5, 2025 in Phoenix, AZ. We aren’t ready. Even as the energy sector hurtles toward an inevitable — and much-needed — […]
-
Originally published in Forbes I’ll break it to you gently: Magic crystal balls don’t exist. But there’s good news. We have the next best thing: probability. A probability isn’t a very technical thing at all. It’s a reading on how likely something is to happen. It’s a number between 0 and 100 where 100 means it’s […]
-
Originally published in Forbes Even as large language models have been making a splash with ChatGPT and its competitors, another incoming AI wave has been quietly emerging: large database models. LDMs complement LLMs by capitalizing on the world’s other main data source: enterprise databases. Rather than tapping the great wealth of human writing such as books, […]
-
Originally published in Forbes Deep down, we all know that we should embrace difficulties rather than dodge them. As John Adams put it, “Every problem is an opportunity in disguise.” It follows that the greatest opportunities come from the greatest challenges, so let’s salivate over the most consequential business predicament of them all: optimizing our biggest endeavors, the […]
