Systems | Development | Analytics | API | Testing

From econometrics to anthropology to leading roles at Salesforce, AWS, and Nextdoor, Tatyana shares how her background shaped a fundamentally different approach to leadership. Drawing on her unconventional journey, she explains why agentic AI is forcing leaders to rethink how they manage technology, shifting from systems to a focus on teams, culture, and governance. Together, Tatyana and Paul share their perspectives on.

Modern enterprises are currently overwhelmed by massive, fast-moving data in various formats that traditional legacy warehouses simply cannot manage. Cloudera addresses these complexities with its open data lakehouse powered by Apache Iceberg, providing a single, seamless, and optimized view of all your information.

When users cannot find, understand, or trust the data they need, adoption stalls. To enable true self-service analytics, you need a data catalog that works for your team, not against them..

Cloud computing promised efficiency, scalability, and reliability. But as AI workloads grow more complex, many enterprises are learning the hard way that these promises don’t come automatically. In this episode of The AI Forecast, Paul Muller sits down with Linthicum Research founder David Linthicum to talk through the real state of hybrid cloud strategy and enterprise architecture in the age of cloud computing and AI.

Discover how Cloudera Data in Motion captures, processes, and delivers streaming data the moment it is created. Using DataFlow and over 450 connectors, you can enrich data in flight to gain instant insights securely and at scale. Learn how a global financial institution successfully cut costs and improved fraud detection by replacing traditional batch workflows with real-time streams. Ensure your business never stands still by keeping your data always in motion.

Stop hunting for data and start using it. Most businesses struggle to see their complete data picture, but Cloudera’s unified data fabric changes the game. Our solution provides a comprehensive view across your entire data estate—whether it's in the cloud, on-premises, legacy systems, or third-party sources. By automating discovery, lineage, and governance, Cloudera ensures you know exactly what data exists, its origin, how it’s being utilized, and if it's being used correctly.

Discover why "Hybrid-Multi-Cloud" has moved from a theory to a regulatory necessity and how a unified data fabric overcomes the "Data Gravity" challenge. Learn the four success factors for moving beyond "Pilot Purgatory," including the role of acquisitions like Octopai and Taikun in building a frictionless consumption model. Moorhead shares insights from his global meetings with CEOs on closing the AI skills gap and achieving tangible outcomes in 2025.

Discover why the transition from Generative AI to Agentic AI is the key to unlocking $40M+ in business value, even for non-technical users via Cloudera Agent Studio. Learn how the AWS and Cloudera partnership solves the "Data Readiness" challenge by bringing AI to the data, whether on-prem or in the cloud. This session covers critical strategies for AI governance, hybrid architecture, and the shift from task-based tools to autonomous digital workforces.