What to expect from Cloudera EVOLVE25
The Computer Weekly Developer Network is off to Cloudera Evolve25.
The conference is held on September 25th at Glasshouse 660 in New York and is set to showcase the organisation’s anywhere cloud platform for data and AI.
Cloudera as a company offers a suite of tools for data ingestion, data storage, data processing, data analytics and data visualisation. Its technology is built on open source Apache Hadoop and others.
Calling itself a unified hybrid data platform, Cloudera says its event will examine how AI relies on quality and accessible data (and therefore what we need to do in order to deliver it) by looking at customer and expert-led sessions to explore best practices for unifying and managing data.
The company promises to highlight real-world experiences and future views on the critical impact of AI and explain strategies for optimising hybrid and multi-cloud environments to support AI workloads while maintaining security, compliance and cost efficiency.
Expo zone
An expo zone will feature at this show to allow attendees to explore sponsor pavilions and see industry solutions at work alongside Cloudera product leaders.
Speakers from Cloudera include CEO Charles Sansbury, who will be providing an overview of the company’s mission to bring a cloud experience to wherever enterprise data resides. Leo Brunnick, chief product officer and Sergio Gago, chief technology officer, will then dive in with an update on Cloudera’s product strategy and roadmap.
As well as the Cloudera execs, guest speakers include futurist Mike Walsh, who describes himself as a “global nomad” (Ed: aren’t all nomads kind of global?) from a diverse ethnic background. Walsh advises organisations on reinvention and change in this new era of machine intelligence.
Breakouts at Cloudera Evolve 2025 include sessions devoted to agentic AI (of course), which here means an analysis of how Cloudera’s platform works to streamline the creation and deployment of intelligent agents with AI Studios (including Agent Studio); users will also learn how to deploy and scale AI applications with Cloudera AI Inference, powered by capitalization-focused GPU company Nvidia and its NIM microservices.
This (above content) also includes info on how to use streaming data pipelines and RAG to get insights from unstructured data.
Low-code to high-code
Cloudera Agent Studio is a low-code to high-code platform for building, testing and deploying multi-agent workflows. Its interface allows users to create AI agents, assign tasks, build custom AI tools and combine them into automated workflows with little to no coding required. This lets broader teams, including business users, prototype and experiment. For more advanced use cases, users can switch to high-code mode using Cloudera AI Workbench to
Attendees will learn how to deploy an open data lakehouse powered by Apache Iceberg to unify data across silos, enable self-service insights and deliver AI-ready data. The company says we will hear from experts and peers about how they’re activating metadata, tracking lineage and building a data fabric – all while maintaining control, compliance and cost-efficiency.
Sponsors include AWS, capitalisation-centric GPU organisation Nvidia and IBM.
The company will use the event to host its Cloudera’s Data Impact Awards, which recognise outstanding data-driven projects that have had a significant business impact within organisations, across industries and globally.
Women leaders in tech
Each Cloudera Evolve event will feature a Women Leaders in Technology session (all attendees are welcome) under the theme Accelerate Action, Accelerate Innovation, this session features leading voices from across industries, exploring everything from cutting-edge technical innovation to bold leadership strategies in the age of AI.
Recent news that will no doubt be covered at Cloudera Evolve25 includes the latest release of Cloudera Data Services, technology designed to bring private AI on-premises to enterprises with secure, GPU-accelerated generative AI capabilities behind the company firewall.
Historically, enterprises have been forced to cobble together complex, fragile DIY solutions to run their AI on-premises,” said Sanjeev Mohan, industry analyst. “Today, the urgency to adopt AI is undeniable, but so are the concerns around data security. What enterprises need are solutions that streamline AI adoption, boost productivity and do so without compromising on security.”
The push to private AI
With built-in governance and hybrid portability, organisations can now build and scale their own sovereign data cloud in their own datacentre, eliminating security concerns. Cloudera says it is the only vendor that delivers the full data lifecycle with the same cloud-native services on-prem and in the public cloud.
“Cloudera Data Services On-Premises delivers a true cloud-native experience on-premises, providing agility and efficiency without sacrificing security or control,” said CPO Brunnick. “This release is a significant step forward in data modernisation, moving from monolithic clusters to a suite of agile, containerised applications.”
The company will highlight this summer’s (2025) latest acquisition of Taikun, a platform provider for managing Kubernetes and cloud infrastructure across hybrid and multi-cloud environments. With this move, Cloudera said it has accelerated the deployment and delivery of the complete Cloudera platform, including data Services and AI anywhere – from the public clouds to on-prem data centre to sovereign and air-gapped environments – all through a unified control plane.
Cloudera Tweets on X at @cloudera and the event hashtag is Evolve25.
