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Presented by Nutanix As enterprises move from AI experimentation into production deployment, the primary cost driver has shifted away from foundation model training and toward the infrastructure required to run thousands of concurrent inference workloads at scale, with agentic AI as the accelerant. Where early enterprise AI projects involved a handful of large, scheduled training …

Cheaper tokens, bigger bills: The new math of AI infrastructure Read More »

Netomi, the San Francisco-based startup building AI systems for enterprise customer service, said Thursday that it has raised $110 million in new funding in a round led by Accenture Ventures, with participation from Adobe Ventures, WndrCo, Silver Lake Waterman, NAVER Ventures, Metis Strategy and Fin Capital. Jeffrey Katzenberg, managing partner of WndrCo and co-founder of …

Netomi raises $110 million as Accenture and Adobe bet on AI for customer service Read More »

Amazon Web Services on Tuesday launched one of the most consequential enterprise AI plays in the company’s 20-year history, simultaneously bringing OpenAI’s most powerful models to its Bedrock platform, unveiling a new agentic developer framework, releasing a desktop AI productivity tool called Amazon Quick, and expanding its Amazon Connect service from a single contact-center product …

Amazon’s OpenAI gambit signals a new phase in the cloud wars — one where exclusivity no longer applies Read More »

Something shifted in enterprise RAG in Q1 2026. VB Pulse data spanning January through March tells a consistent story: the market stopped adding retrieval layers and started fixing the ones it already has. Call it the retrieval rebuild. The survey covered three consecutive monthly waves from organizations with 100 or more employees, with between 45 …

The retrieval rebuild: Why hybrid retrieval intent tripled as enterprise RAG programs hit the scale wall Read More »

Enterprise AI teams running centralized orchestration stacks now have a new variable to account for: AWS Quick, which expanded this week to a desktop-native agent that builds a persistent personal knowledge graph and executes actions across local files and SaaS tools — outside the visibility of most control planes. Unlike chat-based copilots that reset with …

AWS Quick’s personal knowledge graph is making orchestration decisions most control planes can’t see Read More »

Bringing AI agents into the enterprise software development lifecycle is fast becoming the norm. As developers experiment with new platforms, organizations are exposed to potential security and orchestration failures. Systems that work in pilots may fail once the agents start working with real-time data. Legacy tech giant IBM is one of several companies trying to …

IBM launches Bob with multi-model routing and human checkpoints to turn AI coding into a secure production system Read More »

Enterprises can’t fix their GPU waste problem because the fix makes the problem worse. Releasing idle capacity would improve utilization, but the same shortage driving GPU prices up is exactly why no team will give capacity back. So the fleet sits at roughly 5%, billed by the hour, and the cycle tightens. That pressure — …

FOMO is why enterprises pay for GPUs they don’t use — and why prices keep climbing Read More »

For most data engineering teams, managing pipeline reliability often means waiting for an alert, manually tracing failures across distributed jobs and clusters, and fixing problems after they’ve already hit the business. Agentic AI needs the data to be there, clean and on time. A pipeline that fails silently or delivers stale data doesn’t just break …

Definity embeds agents inside Spark pipelines to catch failures before they reach agentic AI systems Read More »

Training AI reasoning models demands resources that most enterprise teams do not have. Engineering teams are often forced to choose between distilling knowledge from large, expensive models or relying on reinforcement learning techniques that provide sparse feedback. Researchers at JD.com and several academic institutions recently introduced a new training paradigm that sidesteps this dilemma. The …

How to build custom reasoning agents with a fraction of the compute Read More »

The AI race lately has felt a bit like a game of tennis: first, Anthropic releases a new, pricey state-of-the-art proprietary model for general users (Claude Opus 4.7), then, a week or so later, its rival OpenAI volleys back with one of its own (GPT-5.5). And all the while, Chinese companies like DeepSeek and even …

American AI startup Poolside launches free, high-performing open model Laguna XS.2 for local agentic coding Read More »