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We're witnessing the rise of the multi-sapien workplace with humans working alongside AI agents. Tune into The AI Forecast to hear by agentic AI needs to be managed like human teams. This conversation goes beyond technology; Tatyana also reflects on leadership and representation in tech, challenging assumptions about opportunity, and exhibiting why diverse ways of thinking are critical in an AI-driven world.

For our enterprise customers, data isn’t just a resource, it’s the engine for future growth. In this overview, Manuel Calvé (Head of Partnerships at Conduktor) explains why the Cloudera + Conduktor alliance is the "Gold Standard" for the modern data enterprise. By combining Cloudera’s hybrid open data lakehouse with Conduktor’s precision Kafka management, we are enabling industries like Finance and Manufacturing to turn streaming data into a high-trust, revenue-generating asset.

*Does your enterprise have governance over teams of AI agents?* This week, Tatyana Mamut, PhD, joins The AI Forecast to talk about why agentic AI needs to be managed like human teams. This conversation goes beyond technology; Tatyana also reflects on leadership and representation in tech, challenging assumptions about opportunity, and exhibiting why diverse ways of thinking are critical in an AI-driven world.

Are your AI initiatives stuck in pilot mode? Siloed data, disconnected tools, and compliance a constant headache? Sending sensitive data to the cloud for model training is a non-starter, especially for regulated industries. Cloudera AI changes the game. Cloudera is the only data and AI platform that delivers the secure cloud experience anywhere—public clouds, data centers, and the edge. We provide the foundation you need for real AI, real scale, and real business impact—without ever giving up control.

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.

Experience a true anywhere cloud with the only data and AI platform that delivers a complete cloud experience regardless of your location. By providing unified security and governance, you can securely access 100% of your data across both on-premises and cloud environments.

Learn how the oldest bank in Brazil manages over 800 AI solutions and 5,500 GenAI use cases while maintaining a "Responsible AI" framework. Discover the bank's three-block ROI strategy focusing on operational efficiency, customer satisfaction, and new business models. This session is a must-watch for enterprise leaders navigating the intersection of legacy infrastructure, culture shifts, and Agentic AI.

Cloudera AI changes the game. Cloudera is the only data and AI platform that delivers the secure cloud experience anywhere—public clouds, data centers, and the edge. We provide the foundation you need for real AI, real scale, and real business impact—without ever giving up control.

AI adoption is accelerating across small and medium-sized enterprises (SMEs), but many businesses lack the in-house expertise to build and manage AI infrastructure effectively. In this episode of The AI Forecast, Paul Muller speaks with Hyve’s Marketing and Operations Director, Charlotte Webb, about how managed service providers (MSPs) are reshaping AI adoption for SMEs. They explore the build vs. buy debate in AI solutions and why cloud computing alone doesn’t guarantee lower costs, better performance, or compliance.

Discover how AbbVie leverages Knowledge Graphs and RAG (Retrieval-Augmented Generation) to automate clinical study reports, reducing draft times by up to 80%. Learn about their "three-class formalism" for human-in-the-loop governance and how they achieved a 250,000-hour FTE return on investment in 2024. This session provides a strategic roadmap for scaling AI in highly regulated industries while maintaining strict data security and clinical integrity.

Learn why 95% of AI implementations fail and how "winners" succeed by solving narrow, high-value back-office problems with a trusted data lakehouse foundation. Discover the latest innovations in private cloud inferencing, data lineage via Octopai, and the new "AI in a Box" solution developed with Dell and NVIDIA. From managing 3-exabyte data lakes to reducing TCO on AWS, see how Cloudera is modernizing the open data lakehouse for the next era of enterprise intelligence..

Learn how to eliminate the gap between public and private clouds with a unified data fabric that offers one-hour time-to-value.. Discover how the acquisition of Octopai and Taikun enables automated data lineage and seamless Kubernetes deployment across any environment. From private AI inferencing to Spark 4 upgrades, see the future of enterprise data management and hybrid cloud portability.

Open lakehouse architecture is becoming the foundation for production AI and enterprise AI at scale. In this episode of The AI Forecast, Dipankar Mazumdar, Director of Developer Relations at Cloudera and co-author of the book “Engineering Lakehouse with Open Table Formats,” joins Paul Muller to explain why open lakehouse architecture is critical for moving from AI pilot to production AI.

Today’s enterprises face immense pressure: scaling fast, staying compliant, and unlocking AI-driven insights—all while fighting siloed data and growing cloud complexity. There is a better way forward, and it starts with Cloudera Anywhere Cloud. Cloudera is the only data and AI platform that delivers the cloud experience anywhere—public clouds, data centers, and the edge—bringing unified security, governance, and control to data wherever it resides. Access 100% of your data for AI-driven insights and future-proof—not just modernize–your enterprise data strategy.

Cloudera Chief Strategy Officer Abhas Ricky breaks down the "Era of Intelligence," detailing how enterprise data is the only remaining moat in a commoditized AI market. Discover the 2025 AI Maturity Curve, from simple chat copilots to the high-fidelity autonomous agents now running in production at global banks. Learn how Cloudera's partnership with Dell and Nvidia reduces AI deployment time from months to weeks while delivering a 3-5x improvement in TCO.