New platform combines hand-curated AI tools with Jordan, an AI Solutions Dir. that builds custom AI strategies in a ...

AI bias propagation spreads across data, models, and APIs. Learn how enterprises use fairness-aware machine learning and observability to control systemic bias.

How LinkedIn replaced five feed retrieval systems with one LLM model — and what engineers building recommendation pipelines can learn from the redesign.

Reliable and scalable water level prediction is crucial in hydrology for effective water resources management, especially ...

Success with agents starts with embedding them in workflows, not letting them run amok. Context, skills, models, and tools are key. There’s more.

Google Research has proposed a training method that teaches large language models to approximate Bayesian reasoning by learning from the predictions of an optimal Bayesian system. The approach focuses ...

The global energy transition is losing momentum just as the world needs it most. Geopolitical friction, sluggish clean-technology deployment in key sectors, and persistent fossil-fuel subsidies have ...

The Anthropic-Pentagon pissing match continues. Anthropic got some backing from Google employees, Microsoft and others, but it’s still likely losing business to OpenAI and yes, Google. Massive AI ...

Built for agents, ThoughtSpot Spotter Semantics adds next-gen search tokens and aggregate awareness to deliver consistent, contextual and actionable analytics at enterprise scaleMOUNTAIN VIEW, Calif., ...

The Azure Kubernetes Service (AKS) team at Microsoft has shared guidance for running Anyscale's managed Ray service at scale. They focus on three key issues: GPU capacity limits, scattered ML storage, ...

New quality, context, and ecosystem capabilities provide enterprises with the tools to confidently deploy AI at scale.

Barclays 28th Annual Global Healthcare Conference March 11, 2026 11:00 AM EDTCompany ParticipantsBrandon Sim - President ...