Agenda

Bringing AI to Your Data in Any Cloud or Data Center

Moving sensitive data to public AI models is a costly, risky compromise. The true enterprise differentiator lies in scaling trusted, autonomous agents for complex workflows—without sacrificing privacy or succumbing to public cloud "token traps." Discover how Cloudera achieves sovereign AI by bringing high-performance AI directly to your data, whether in hybrid clouds, private infrastructure, or air-gapped data centers.

What You Will Learn:

• Private, Cost-Predictable Model Serving: Securely host models behind your firewall with Cloudera AI Inference service, lowering TCO compared to public APIs.

• Fast-Tracked Agentic Innovation: Rapidly scale autonomous workflows with low-code Cloudera Agent Studio, ensuring safe interaction with production systems.

• Centralized AI Governance: Manage, monitor, and route AI usage via a unified control plane that eliminates "shadow AI" and ensures strict compliance.

Join us to see how a data-to-AI strategy minimizes risk, lowers TCO, maximizes operational sovereignty, and accelerates production-grade enterprise intelligence.

From accelerating emergency aid delivery to revolutionizing regional healthcare, this session highlights how organizations use Cloudera AI to solve critical global challenges. Join us to see how AI is empowering teams to make faster, smarter, and life-saving decisions at scale.

Find out how non-profit Prosper Global (formerly Mercy Corps) is using Cloudera and agentic AI to revolutionize humanitarian response. Learn how Mercy Corps leverages Cloudera AI Studios to automate crisis research, cut reporting times by up to 90%, and turn complex data into localized, life-saving insights.

Hear how the Madrid healthcare system has been transformed into a connected, data and AI-driven health system for ~8 million citizens. Learn how Cloudera underpins the foundational Madrid Health Data Space, enabling AI use cases across healthcare, from improving clinical decision-making to streamlining population health analyses.

Enterprise AI demands more than powerful models and GPUs. It requires a data foundation that can continuously support analytics, retrieval, inference, and agentic AI without the complexity of fragmented storage and data movement.

In this session, learn how Cloudera and VAST Data combine enterprise data services with an AI-native data platform to create a unified foundation for AI.

We'll explore how organizations can maximize GPU utilization, reduce operational complexity, eliminate unnecessary data movement, improve AI infrastructure efficiency, reduce TCO and accelerate the journey from analytics to production AI.

Hear how YPF is embedding advanced analytics and AI deep into its internal processes to cement its position as a digital energy leader. By leveraging Cloudera to transform workflows across Upstream, Downstream, Retail, and Logistics, YPF is successfully optimizing core business metrics. Discover how these operational efficiencies are streamlining daily logistics to drive smarter, immediate decision-making across the enterprise.

Put your Data into Action with Trusted Context

You're running five copies of the same data across five platforms so five different tools can each pretend the others don't exist. That's the real reason your AI budget doubled this year while ROI stayed flat. The model was never the hard part; it's a commodity now, improving faster than you can even evaluate it. The hard part is the data layer built on proprietary formats, shadow pipelines, brittle ETL, and duplication that compounds with every new workload. This session makes the case for the alternative: interoperability at scale, open standards, zero-ETL access, federated context, and automation built into the data layer itself, so agents get governed access to enterprise truth without another copy sitting somewhere waiting to go stale. If your AI strategy depends on which model you picked rather than what your data platform can actually deliver, you can never scale your AI. Join industry analyst Sanjeev Mohan to see what a foundation built to power your AI should really look like.

Discover how Marriott International leverages the Marriott Data Exchange to power over 2,000 operational data flows across reservations, Marriott Bonvoy loyalty, finance, and hotel operations. Hear how Marriott orchestrates third-party marketing integrations and automated privacy compliance to deliver trusted, real-time insights across the enterprise.

Discover how Antel is transforming its telco infrastructure into a revenue-generating powerhouse by using Cloudera to build new products and services for B2B and public sector clients. Hear how they architected a multi-tenant, hybrid platform on Cloudera —combining the data sovereignty of an on-premises foundation with the agility of public clouds—to create new business products and realize massive value.

Global AI investment is skyrocketing, yet enterprises worldwide are hitting a critical roadblock: the challenge of translating massive spend into measurable business value. To bridge this gap and win stakeholder trust, leadership must move past theoretical use cases and prove exactly how AI transformations will deliver holistic impact within their own unique business environments, constraints, and data ecosystems.

The strategic barriers to this realization are clear. Recent data shows that 47% of enterprises name poor data quality as their number one obstacle to AI value, while only 43% possess the necessary security, governance, and guardrails to manage it. This session explores how the strategic partnership between AWS and Cloudera addresses these foundational challenges head-on. We will discuss the executive blueprints required to overcome these barriers, mitigate governance risks, and build a trusted data foundation that turns AI investments into a predictable driver of enterprise growth and competitive advantage.

Enterprise AI success starts with the right foundation—not just the right model. As organizations scale from AI pilots to production agents, they need to transform enterprise data into trusted intelligence while running AI wherever their data resides.

Join Cloudera and NVIDIA to learn how hybrid data platforms, accelerated data processing, open models, and NVIDIA AI software come together to power secure, scalable agentic AI. Learn how an optimized AI stack - from data and models to CPUs, GPUs, networking, and secure computing - enables enterprise to build and scale intelligent agents across on-premises and cloud environments.

Gain inspiration and insights into how leading organizations are building the foundation for the next generation of enterprise AI.

Data governance, security, and infrastructure constraints remain primary roadblocks preventing enterprises from moving Al from isolated experimentation into broad production. Research shows that 73% of IT leaders report infrastructure constraints hinder their operational initiatives as enterprise Al outgrows the public-cloud-only model. 

In this panel, leaders from Cloudera, IBM, Protegrity, and PhoenixAl explore how organizations can deploy AI applications and govern trusted, AI-ready data required to scale them without disruptive data migrations. Powered by the new Cloudera Anywhere Cloud™ platform, joint solutions bring push-button simplicity, cloud-native agility, and a modular architecture directly to enterprise data wherever it resides-across multi-cloud, sovereign infrastructure, and private data centers. By combining IBM’s enterprise data governance and real-time data streaming capabilities, Protegrity’s data-centric protection, and PhoenixAI’s sub-second database engine available through the Cloudera Anywhere Marketplace, enterprises can establish the trusted, governed data foundation they need to build, deploy, and scale reliable AI applications and agentic workflows, satisfy data sovereignty mandates, and optimize compute costs safely across any environment.

In this session, we will unpack the anatomy of a Cloudera + Mistral Forge engagement, from identifying the proprietary knowledge that creates differentiation to preparing data, selecting the right training approach, evaluating results, and iteratively improving model performance.

Attendees will get a practical look at the people, data, infrastructure, training techniques, and evaluation frameworks required to turn enterprise knowledge into differentiated model capability, and how Cloudera and Mistral can bring that deep-training motion to enterprise data wherever it lives.

What does it take to turn an AI idea into something your team can actually build? In this 30-minute session, explore Cloudera's new AI Blueprints catalog—a public library of reusable AI solutions that brings together use-case guidance, reference architectures, working demos, and code to help teams move faster from concept to implementation. The catalog includes both horizontal capabilities that apply across industries and purpose-built solutions for challenges in financial services, telecommunications, healthcare, and more. See how Cloudera AI Blueprints can help translate a business problem into a practical, proven starting point for your next AI project.

Deep Dive into Cloudera Technologies and its Open Source Foundations

Industrial plant data is often trapped behind costly legacy historians, expensive cloud streaming fees, and unmapped sensor tags. In this 15-minute talk, we will showcase how Cloudera can bridge the gap between plant-floor OT and enterprise AI. We will cover how MQTT Sparkplug B and Cloudera Data in Motion instantly add context to sensor telemetry, strip out noise, and route data to an open lakehouse. You'll see how real-time edge streaming combined with AI agents enables sub-second anomaly detection and human in the loop maintenance actions—all without compromising SCADA safety or relying on cloud connectivity.

This session explores how to achieve ultimate architectural freedom with Cloudera’s breakthrough hybrid cloud innovations. Learn how to power seamless workload mobility via Compute Bursting, secure data mobility with Replication Manager, and fine-grained security through Ranger Remote Authorization Service (RAZ) and the Iceberg REST Catalog.  Experience secure, flexible deployments across any environment.

Deriving real value from your data estate -- from acquiring and preparing data to actively extracting insights -- remains a painstaking hurdle. Because basic chat tools fall short of handling this complexity, we must close the loop between a user’s intent and actual work that leads to the desired outcome. This talk unveils our new agentic copilot experience, an intelligent layer embedded directly into your workflow that brings together specialized agents, business context, and fit-for-purpose compute engines. Whether you are a pipeline builder, business analyst, or operator, learn how to be more productive and get to results faster.

This session shows how financial data moves from raw ingestion to governed, AI-ready consumption on an Iceberg-based lakehouse. Using a real-world finance scenario, we will transform data into trusted tables, enrich it, validate quality, and make it usable for analytics, AI assistants, and responsible decisioning workflows via MCPs.

Hear how a leading manufacturer relied on Cloudera to achieve its goal of delivering a unified cloud experience across public clouds, on-premises, and even at the edge with a fast implementation that covered simplified migration, deployment, LTS, authentication, authorization, and cloud deployment

As enterprises move beyond AI experimentation, the challenge shifts to deploying and operating models reliably at scale — while keeping data private and costs predictable. In this session, we'll explore how Cloudera AI Inference Service enables organizations to run LLMs on their own infrastructure, bringing the power of open-source models into fully private, on-premises or cloud environments without ever sending sensitive data to a third party. You'll see how Cloudera handles the operational complexity — from model serving and autoscaling to observability — so your teams can focus on building Agents, not managing infrastructure.

Explore how to design and implement an agentic workflow from end to end. We will walk through a real use case, show how the agent creates its own to-do list and plans the work, keeps execution within guardrails, and leaves a complete audit trail along the way. Expect a hands-on, practical look at how governed AI agents actually come together.

When routine data pipelines and heavy batch processing run on premium cloud compute, your AI and analytics budget can drain rapidly. In this 15-minute tech talk, explore how strategically placing workloads across the right platforms can reduce infrastructure costs while preserving resources for innovation. Discover how Cloudera enables efficient execution of routine data processing alongside elastic analytics and AI workloads, ensuring seamless interoperability, avoiding data duplication, and maintaining flexibility without vendor lock-in.