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Discovery Agent is Here! - Quick Explainer

Discovery Agent brings automated anomaly detection directly into Qlik Cloud. It monitors the metrics you care about, identifies meaningful changes, and delivers contextual insights right where you work. Today it’s a monitoring capability inside Qlik Cloud. Over time, it becomes one of the agentic services supporting autonomous workflows across the platform.

Ep 65 | The Vibecoding Liability: How Unchecked AI Can Kill Cloud ROI

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.

Real-Time Streaming Data & Insights with Cloudera Data in Motion #Cloudera #AI #Tech #Shorts

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.

Launching Project SnowWork - Bringing Outcome Driven AI to Every Business User

Project SnowWork empowers business teams to automate multi-step workflows end-to-end, and drive real outcomes. Create revenue snapshots, diagnose missed forecasts, and generate summary slides with next steps — all without any coding experience needed.

The End of Busywork: Meet Project SnowWork

Introducing Project SnowWork. An autonomous AI platform that embeds intelligence directly into your business workflows and tools. Project SnowWork brings Snowflake's vision for the agentic enterprise to life, where enterprise data, intelligence, and action are connected in a governed way. Launching in research preview to a limited set of customers, Project SnowWork handles complex, multi-step tasks and delivers real, data-driven outcomes to business users.

Cloudera Agent Studio and NVIDIA Bring Next-Gen Agents to Enterprise AI

Autonomous agents act toward complex goals without requiring human direction at each step. In enterprise environments, deploying these agents introduces a more exacting set of challenges: they must navigate heterogeneous data systems; satisfy compliance, audit, and data sovereignty mandates; and keep all data within the organization's operational boundary.

Legacy VM Footprints are Holding Back Digital Transformation

Enterprises in 2026 are under increasing pressure to modernize applications, adopt hybrid cloud architectures, and streamline operations—but their expanding and aging VMware footprints have become a major obstacle. As VMware licensing models evolve and operational costs climb, reducing or restructuring this footprint has become just as critical as adopting new platforms.

Evolve25: Fueling the AI Future Data, Deployment and Tangible Outcomes

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.

Now is the Time for Higher Education Institutions to Master Data Lineage

In today's state, local, and education (SLED) environments—especially higher education—budgets are under constant scrutiny, and the demand for data excellence is constant. That means doing more with fewer resources. One high-impact change to your data workflows that can transform the quality of your data and AI while lowering costs is automating and documenting data lineage.