̽»¨ÊÓÆµ, in conjunction with its vendor partners, sponsors hundreds of events each year, ranging from webcasts and tradeshows to executive roundtables and technology forums.
In the race to leverage artificial intelligence, federal agencies face a sobering reality: AI is only as good as the data that fuels it. This webinar, hosted by data.world and Cyberhill Partners, explored why the foundation of clean, well-structured data is critical to unlocking AI's potential.
Our esteemed speakers dove into the unique challenges federal organizations face—unmanageable data volumes, entrenched silos, and growing AI governance demands—and demonstrated how our partnership approach accelerates readiness without escalating costs. Through real-world examples and actionable insights, attendees gained a clear path to achieving data-driven success with explainable, flexible, and future-proof AI.
Perfect for federal leaders and technical professionals ready to move past the hype and achieve measurable outcomes with AI, this session will help you chart a course from where you are today to where you need to be—fast.
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Did you miss our recent event where we explored a unique modular storage platform for the next decade of machine intelligence? Were you unable to attend the session aimed at accelerating your data-first modernization from edge to cloud, eliminating complex management, infrastructure silos, inefficient scaling, and low productivity? HPE GreenLake for File Storage was presented as the solution, offering enterprise performance at scale to accelerate the most data-intensive applications. The resilient architecture is designed to scale to exabyte capacities. The platform provides a simpler, intuitive cloud operational experience with radically simple file data management and rich data services. It enhances the productivity of data scientists and line-of-business application owners, ensuring faster time to insights and more value from all your data with a simple setup and a global namespace for collaboration for a competitive advantage.
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