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Enterprise AI's real risk isn't autonomous agents. It's the complexity between them.
Presented by Gravitee
Rory Blundell, Gravitee
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When agents act on their own, governance has to live in the data layer
Presented by EDB
Partner Content
Orchestration is the new challenge for CX in the age of AI agents
Presented by Tata Communications
VentureBeat names Rob Strechay as its first Lead Analyst, expanding its enterprise AI research push
Rob Strechay, until recently managing director and principal analyst at theCUBE Research, has joined VentureBeat as our first Lead Analyst and a founding analyst of VentureBeat Research. His arrival is the next step in a deliberate move at VentureBeat toward deeper specialization: analysis built for the technical decision-makers — the directors, VPs, CIOs, and CTOs — who are evaluating, buying, and deploying enterprise AI.
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My first VentureBeat story was the 'Woodstock of AI.' My last is Nvidia buying Hugging Face for $12.9 billion.
Today is my last day as Editorial Director at VentureBeat.
GitHub’s HydraFusion cuts AI coding costs in every benchmark. It only matches quality in one.
The vendor's benchmark table doesn't fully back its own quality claims — and it's not the only AI company selling that story.
Sean Michael Kerner
Nvidia acquires Hugging Face after Stripe nabs OpenRouter: here's what open source AI builders should do
The infrastructure surrounding open AI may ultimately be more commercially valuable than many of the individual models flowing through it.
Carl Franzen
'Welcome to the AGI era': OpenAI launches GPT-6 Astra
Astra is designed to navigate software much as a person does — working across browsers, spreadsheets, websites and desktop applications, producing finished documents and presentations, and carrying out multistep workflows.
Carl Franzen
Meta says Muse Spark 1.3 has frontier performance — but its best results come from a model developers can’t broadly use yet
Meta’s strongest Muse Spark 1.3 benchmark results come from its max reasoning configuration. Meta says that version is still completing additional safety testing and will arrive later.
Carl Franzen
Microsoft AI’s MAI-Transcribe-2 undercuts OpenAI, Google and ElevenLabs on price and speed
That figure deserves a pause. When Microsoft AI shipped the first model in this line just five months ago, it charged $0.36 an hour. Thursday's early-bird price cuts that by roughly 72%. For an enterprise processing 100,000 hours of call-center audio a year — a modest volume for a large bank or telecom — the bill drops from $36,000 to $10,000. At that level, transcription stops being a line item anyone argues about.
Partner Content
The AI visibility gap: Why great brands disappear from AI answers
Presented by Contentful
Meta prices Muse Voice Transcribe at $0.18 an hour, with real-time diarization for 20+ speakers: a steal for enterprises?
Muse's launch creates an unusually sharp price-performance proposition. Its 20-plus-speaker diarization does not establish a world record, but the record may be the less important metric.
Carl Franzen
Partner Content
Forward-deployed engineering is how enterprise AI learns
FDE embeds engineers with customers, turning field learnings into reusable AI capabilities, transforming enterprise deployment strategies.
Neej Gore, Zeta
Frontier models can recover up to 65% of facts they can't directly recall — just by thinking longer
Google Research shows LLMs encode 95-98% of facts, with recall as the main bottleneck, aiding reliable app development without larger models.
Ben Dickson
Anthropic's Claude Fable 5.1 and Mythos 5.1 arrive with a 75% cost reduction for Fable cache reads
Anthropic has cut a Fable 5.1 cache hit to just $0.25 on input, down from $1.00 for Fable 5. That's also just 2.5% of Fable's normal input-token price of $10, rather than the 10% multiplier used by most other Claude models.
Carl Franzen
Your files stay put: Perplexity’s hybrid AI keeps confidential data off the cloud
The company says it is the first time an AI agent can begin a task in the cloud and dynamically hand off the confidential portions of that same task to a model running on the user's own hardware, without restarting the job or losing context. The feature becomes available today through Perplexity's desktop app for enterprise customers that opt in, as well as Pro and Max subscribers, on any Apple silicon Mac running macOS 15 or later.