- How NVIDIA Factory Operations Blueprint Coordinates AI Agents to Investigate Production Issues
A Siemens report estimates that unplanned downtime costs an average large plant in the surveyed sectors $253 million per year. Whether investigating a failed... A Siemens report estimates that unplanned downtime costs an average large plant in the surveyed sectors $253 million…
- How well can we measure open model inference share?
Our first open model economy research note for paid subscribers.
- Smart Approvals in Amazon Quick: Human oversight where it matters
Smart Approvals in Amazon Quick reviews eligible agent actions within your existing controls, reducing unnecessary approval prompts while keeping consequential decisions with a person. See how policy sets the boundary, how a classifier reviews actions, and how AWS CloudTrail a…
- Four layers of context engineering for production AI agents: How Deep Insight applies them in working code
In production AI agents, context management is the real bottleneck. This post presents a four-layer context engineering framework (architecture, prompts, file-based tools, and verification agents), implemented in working code from Deep Insight, an open source multi-agent data …
- How Indegene is modernizing and scaling enterprise data quality in life sciences
This post explores how Indegene built a production-grade, LLM-powered Data Quality Agent in its NEXT Unified Data Platform on AWS. The agent generates context-aware data quality rules, validates them, and produces ready-to-run SQL and Python under human-in-the-loop governance,…
- How U Mobile built agentic telco operations with Amazon Bedrock AgentCore
U Mobile, Malaysia's newest 5G network provider, built AiDaH, an agentic AI operations platform on Amazon Bedrock AgentCore that moves beyond AI assistance to autonomous action across telco operations. Nine months after production launch, AiDaH handles over 150 operational sce…
- Use NVIDIA NeMo to Turn Agent Failures into Tests and Harness Fixes
Turn production evidence into prioritized issues and custom evaluations that help you improve prompts, tools, models, memory, skills, and harness code. When you... Turn production evidence into prioritized issues and custom evaluations that help you improve prompts, tools, mod…
- OpenAI to acquire Pierre Computer Company, Inc.
OpenAI will acquire Pierre Computer Company, expanding Codex’s tools for building, understanding, and reviewing code.
- See the agents, set the terms: new visibility and control for personal agents
Personal AI agents have changed how users interact with the web, blurring the lines between automated and human traffic. Learn how Cloudflare gives site owners visibility and control to manage personal agent access.
- ElevenAgents integrates natively with leading contact center platforms to deliver enterprise-ready agents
ElevenAgents now integrates natively with NiCE, Genesys Cloud, Amazon Connect, and Five9, and connects to any other platform over SIP.
- Ai2 and Google collaborate on a new generation of climate models
With funding from Google.org and technical support from Google Research, Ai2 is developing NeuralGCM+, an open-source model designed to combine physics and AI to simulate the atmosphere and ocean together for faster, more reliable long-term climate projections.
- Daybreak Red is now available in AWS GovCloud (US-East)
Daybreak Red brings GPT-5.6 Cyber to approved customers in AWS GovCloud (US-East) through Amazon Bedrock for authorized cybersecurity work.
- Together Compiler: Continuous Compilation for AI inference
Together Compiler uses agents and persistent engines to optimize open models in under 24 hours, delivering up to 3.7x higher throughput as traffic changes.
- Polymorphic Inference: self-tuning inference for open models
Models, traffic and chips are constantly changing. Polymorphic Inference adapts to each, and Together Compiler uses AI agents to keep production inference tuned.
- Claude Platform now supports native OpenTelemetry observability in Databricks MLflow
An agent can return a plausible answer while missing an important finding or reading the same source repeatedly...
- Declare and optimize with UNIQUE constraints on Databricks
Data teams often maintain uniqueness guarantees in their pipelines, but without a...