AI in industry

From clean dashboards to messy intelligence systems....

AI is splitting in two directions. One path is controlled, restricted, and security-first. The other is open, autonomous, and scaling fast. The real question isn’t which is better, it’s what this means for trust....

We call it machine learning. But do machines actually learn? Today's AI systems train, optimize, and scale, but real learning is something else entirely. The distinction matters more than the industry wants to admit....

While we've seen remarkable progress in AI for coding and mathematics, creating agents that can navigate the messy, open-ended nature of real research (where things break for no obvious reason) has proven far more challenging....

After ChatGPT’s breakthrough, the race to define the next frontier of generative AI accelerated. One of the most talked-about innovations was OpenAI’s Sora, a text-to-video AI model that promised to transform digital content creation....

Here’s how consulting leader Valentin Marenich and his team built a hybrid AI system that combines machine learning, generative AI, and human oversight to deliver real-world results in a highly regulated environment....

If the last wave of AI felt like hiring a very smart intern, this one feels more like managing an entire organization that never sleeps (and occasionally argues with itself)....

Artificial intelligence is transforming industries at breakneck speed, and New York is at the heart of this revolution....

How can life sciences organizations overcome rising costs, regulatory complexity, and data silos to bring therapies to market faster, without compromising patient safety, and could AI be the key to doing so responsibly?...

At NVIDIA’s GTC 2026, CEO Jensen Huang laid out a sweeping vision for AI’s next era....

The race to build more capable AI systems has created an unexpected problem: As we push toward more sophisticated models, we need equally sophisticated ways to evaluate and align them....

Meta’s acquisition of Moltbook highlights a growing focus on agent-to-agent systems and the infrastructure required to support them. It’s a small deal that signals bigger shifts in how AI ecosystems may evolve....

What if the secret to better AI isn’t bigger models, but better tools?  Researchers at Google DeepMind have shown that smaller language models can outperform larger ones when they’re given the ability to write their own code....

As Meta rebuilds its technical foundations to support multi-year model lifecycles, modular architectures, and reliability-first design, it is quietly reshaping how Silicon Valley thinks about production-grade AI....

Apple is (no so quietly) anchoring a vibrant ecosystem of talent, startups, and human-centered innovation. Here’s how its expansion is shaping the next chapter of AI in Austin, Texas....