See the latest Cloudera Innovations.

Carolyn Duby, Field CTO

Cyber defenders are overwhelmed and burned out as they combat increasingly sophisticated and evolving cyberattacks. Network and log data are essential for threat detection and investigations, but obtaining rapid and accurate results is a significant challenge. Defenders are forced to navigate a maze of disparate security tools with incompatible interfaces and APIs.  Critical network data is missing because many solutions are either too slow or too expensive to handle the terabytes of data generated daily. Security teams aspire to harness advanced analytics and AI, but their fragmented security solutions don't work together.

Enter Cloudera Open Data Lakehouse, a game changer that unifies network and log data in an open, scalable, and cost-efficient single source of cybersecurity data. This revolutionary approach enables investigators and threat hunters to conduct thorough investigations more efficiently and develop advanced capabilities leveraging AI and ML. Discover how leveraging Apache Iceberg tables to scale your data lakehouse can transform your enterprise's cyber defenses, empowering your team to stay ahead of threats and reduce burnout.

David Dichmann, Sr. Director, Product Marketing

Last year, we introduced Cloudera Observability, a powerful tool that enhances performance and delivers cost-efficiency through advanced monitoring and analytics. It features system and service health monitoring, workload optimization, financial governance, and self-service analytics so you know exactly how and where you can tweak, tune, or automate remediations. Since then, we have added new governance, auditing, and monitoring capabilities including:

• Real-time monitoring for Data Hub clusters, jobs, and queries

• Financial governance with new cost factors and capacity forecasting

• Expanded workload views, alerts, and automated actions

• Data observability with hot- and cold-table analysis

We will explain how all these new features work and how you can enable them, with demonstrations of key capabilities and enhancements.

Suri Nuthalapati, Data & AI Practice Lead, Cloudera Professional Services, AMER

If you want to build a real-world AI application, you need more than just an AI model. Cloudera provides a complete platform that includes the data in motion, data engineering, and open data lakehouse capabilities that customers use to build production-grade generative AI apps.

Cloudera Professional Services (PS) help our customers implement GenAI use cases that leverage and adapt Large Language Models. In this session, which expands on our AI product announcements over the last quarter, you will learn how to:

• Build an AI Assistant that is customized for your own use cases, following a repeatable reference architecture on Cloudera

• Scale your AI apps beyond just prototypes

• Accelerate your AI journey with Cloudera PS

Jerry Green, World Wide Open Source Sales and Strategy Leader, IBM

In the context of Generative AI, the demand for trusted, governed, and scalable data has become an imperative for business, serving as the catalyst for driving innovation. In this session, learn how to generate business value with responsible AI - using watsonx, an AI and data platform for generative AI and machine learning. With watsonx, you can train, validate, tune, and deploy foundation models with your own trusted data and apply governance and guardrails – empowering you to use AI responsibility across business processes and streamlining key workflows. Learn from examples of how IBM watsonx and Cloudera work together to empower enterprises to multiply the impact of responsible AI and seize new opportunities for growth.