LLMOps: Optimizing towards enterprise value in the LLM & agentic era

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....

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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....

All AI systems can fail, but now we can trace exactly who’s responsible. Implicit Execution Tracing (IET) embeds invisible signatures in AI outputs, making multi-agent systems accountable, auditable, and tamper-proof....

What if AI could explain itself? As language models scale in size and complexity, that possibility has drawn growing excitement, and hope. But new research from MIT, Technion, and Northeastern University suggests the reality is much messier, and more concerning......

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....

Catch up on every session from Generative AI Summit Austin,with sessions from the likes of Stability AI, Meta, Google and more....

As AI agents begin executing tasks on users’ behalf, traditional engagement metrics are becoming less meaningful. In the age of agentic AI, product teams may need a new north star: measuring whether user intent was successfully fulfilled....

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....

Your company’s data holds answers, but accessing them is often the hard part. Here’s how Rocket Mortgage built a text-to-SQL system with agentic RAG to make data accessible to everyone....

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....