Cloudera

Cloudera is headed to AWS #reInvent! 🤝

As a proud partner, we’re looking forward to showcasing how Cloudera and AWS help enterprises put trusted data and AI to work. From Anywhere Cloud™ and agentic AI to open lakehouse innovation, we’ll be sharing what’s possible when our technologies come together.

Register today and visit us onsite at booth 1822: attend.cloudera.com/sip-and-scale-…

#BetterTogether

If you missed the news coming out of #EVOLVE26, we've got you covered 👀 From expanding our AI ecosystem and introducing AI Blueprints to the findings from our State of Enterprise AI 2026 report, there was plenty to talk about in New York — and the coverage kept coming.

A few headlines worth catching up on:

📰 SiliconANGLE & theCUBE on Cloudera's expanding AI ecosystem and packaged AI Blueprints: bit.ly/4e8Wak6

📰 TechTarget on how Cloudera Blueprints can help accelerate AI development and on how Cloudera is evolving to stand out in the AI era: bit.ly/4stMh6o

📰 Techstrong.ai on the rising costs shaping enterprise AI strategies: bit.ly/4iphh2G

📰 Express Computer on Cloudera's expanded Enterprise AI Ecosystem and hybrid AI deployments: bit.ly/4eaoMJQ

And that's just a few of the headlines!

From announcing the expansion of our AI ecosystem with Mistral AI, VAST Data, Neo4j, and Cartesia to bringing NVIDIA AI Blueprints to enterprise data anywhere, the conversations throughout #EVOLVE26 reinforced an important theme: enterprises are looking for practical ways to move AI into production.

In a conversation with Rebecca Knight of theCUBE and SiliconANGLE, Cloudera Chief Customer Officer Patricia Bogoevici shared what she’s hearing directly from customers — and the three challenges that continue to stand in the way: data access, data sovereignty, and production readiness.

Watch the full conversation to hear Patricia discuss how Cloudera is helping customers navigate these challenges and turn AI ambitions into measurable outcomes: bit.ly/4yW1TRX

AI investment is booming. But where’s the proof it’s paying off? 📊

At #EVOLVE26, Patrick Moorhead breaks down the economics of AI, from open models and local inference to protecting IP and prioritizing workflows that can deliver real business value.

Watch The AI Forecast: bit.ly/48z5hHp

The cloud-only era is giving way to something more flexible.

AI workloads are spreading across hybrid, public cloud, private cloud, on-prem, and edge environments. The takeaway? AI should run where it performs best, not where it’s easiest to put it: bit.ly/3U4f1pi

Swipe through our AI re-architecture findings. 👉