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Cloudera Account 360 is designed to resolve this by providing a single pane of glass from which customers can manage their users and accounts. It offers robust, flexible, and secure account as well as user management capabilities, helping you avoid delays by eliminating the need to raise support cases with Cloudera for simple administrative tasks. Foundational Features Available Now Cloudera Account 360 includes two core feature sets.

As AI and BI projects race to deliver quick wins, many organizations overlook what truly determines long-term success: the people behind the data. In this episode of The AI Forecast, Jen Stirrup, author, speaker, and founder of Data Relish, joins host Paul Muller to dissect the difference between data literacy (reading the numbers) and data fluency (speaking the language of business). Jen challenges the industry’s obsession with AI FOMO, warning that rushing to deploy models on shaky cultural foundations is the fastest way to derail ROI.

Data complexity is the enemy of innovation. Adam Skotnicky, VP of Engineering at Cloudera and founder of Taikun (acquired by Cloudera), joins host Paul Muller to explain how engineering teams can reclaim simplicity without sacrificing flexibility or control. Together they unpack why most teams are overwhelmed by tooling and operational overhead, how platform engineering can abstract complexity away from users, and what it really means to deliver “cloud-like” agility across hybrid environments.

AI is reshaping how sales teams find prospects, build relationships, and close deals. Frank O’Dowd, Cloudera’s Chief Revenue Officer, joins to discuss Cloudera’s approach to AI in the sales function. Frank details his philosophy, which is that rather than replacing the human touch, AI is helping sales professionals work smarter, offering insights, personalization, and efficiency at scale. It’s a complementary tool that can help sales teams make themselves relevant to their target audience. As Frank says in the episode, “The person with the most information always wins.”

Hussein Ragy, CEO of BBI, discusses their strong, four-year partnership with Cloudera. He highlights how Cloudera's leading data, AI, and platform capabilities, including for sovereign data and agentic AI, help BBI provide the best solutions for customers' cloud and hybrid architecture needs, emphasizing a unified approach to service delivery.

The AI Forecast welcomes back John Santaferraro, host of The Digital Analyst Podcast and CEO of Ferraro Consulting, for a candid look at what’s really coming next for AI in 2026.

Leon Taiman, Global Practice Lead at Dell Technologies, discusses the strategic partnership between Dell, Cloudera, and NVIDIA to accelerate the adoption of Private AI on-premises for customers.

Discover the future of the Data Lakehouse with this deep dive into Apache Iceberg V3 and V4 from the Bengaluru community meetup. Learn how PyIceberg and DuckDB are revolutionizing Python-native data processing by eliminating the need for Spark clusters for 99% of common query sizes. Explore high-performance ingestion benchmarks from Oleg and the Google Dataproc Lightning Engine, achieving over 500k rows/sec through Apache Arrow and C++ vectorization. This session is a masterclass for data engineers on metadata compaction, Rest Catalogs, and building vendor-agnostic data platforms.

In this episode of The AI Forecast, Anu Jain, founder and CEO of Nexus Cognitive, joins host Paul Muller to introduce a transformative idea: AI doesn’t have a last mile problem. It has a first mile problem. While AI models and algorithms can scale instantly through the cloud, their success still depends on the quality, provenance, and readiness of the data that feeds them.

In this discussion, Dipankar - Cloudera’s Director of Developer Relations sits with Navita - Director of Product Marketing to unpack why Apache Iceberg has emerged as the foundation of the open lakehouse - and why it’s increasingly essential for modern Data & AI workloads. Dipankar & Navita walks through how Iceberg became the de facto standard among open table formats, what it's design enables (interoperability, engine-agnostic access, reliable metadata), and why openness matters as organizations move toward multi-engine, hybrid data architectures.