Originally published in Forbes Generative AI too unreliable to launch? Predictive AI will realize genAI’s bold, often overzealous promise of autonomy – or at least a great deal of it. While the generative AI industry rides high on an audacious buildup, its promised returns are still mostly speculative. GenAI’s reliability has become the perennial elephant in the […]

  Originally published in Forbes AI is in trouble. Both of its main two flavors, generative AI and predictive AI, face crippling limitations that compromise their ability to realize value. The solution? GenAI helps predictive AI and vice versa. GenAI’s problem is reliability. For example, while almost three-quarters of lawyers plan to use genAI for their […]

 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 — […]