Data Movement Across All Environments
Discover use cases in which Cloudera DataFlow (CDF) and Cloudera Data Platform (CDP)'s data in motion tools are being utilized by Department of Defense agencies to provide access to all observable data in real time and contextualize it with industry data for more informed decision-making with maximum efficiency and agility. Join us for a deep dive into Cloudera's data in motion features and how they leverage Apache NiFi to: Provide a m...
Zero Trust & SecOps Automation: The Fut...
Department of Defense (DoD) agencies are taking concrete steps to transition to a zero-trust architecture to protect critical data and systems. Transitioning to a zero-trust architecture requires a fundamental reimagining of security operations centers (SOCs) and teams. SOCs have traditionally been structured around the role of the security operator, rather than the data and lacked both automation and DevOps practices. To establish a true zero...
Predictive Clinical Decision Support So...
Cutting-edge analytics capabilities play a pivotal role in the preoperative prediction of high-risk patients, enabling surgical teams to proactively prepare for complex cases. This exemplifies the power of data-informed insights in facilitating well-informed decisions and optimizing patient outcomes. By leveraging the Dss Healthcare Analytical Solution and Cloudera Data Platform (CDP), healthcare organizations gain the necessary tools to effe...
Building an AI-Ready Lakehouse From Sta...
In a world where generative AI delivers new possibilities for transformational results, organizations often overlook the important role data pipelines and platforms play in training, retraining, deploying, and hosting the right ML models to generate powerful AI results. Join Mike Gualtieri, VP & Principal Analyst at Forrester Research, and experts from Cloudera and Intel, for an in-depth discussion on the unique capabilities of a modern op...
How to Deploy and Effective Machine Lea...
Artificial intelligence (AI) and machine learning (ML) are becoming increasingly mission critical as the volume, variety, and velocity of data advances beyond what many government agencies have the tools to manage. Join Cloudera as they explore how government agencies can utilize ML and build a secure ML strategy through Cloudera Machine Learning (CML) to create a seamless hybrid cloud ecosystem. In this on-demand webinar, attendees learned ab...
How the Open Data Lakehouse Enables Ent...
We’re turning enterprise AI potential into business reality. AI comes with the power of possibilities. But most enterprises continue to work with siloed data that don’t give teams the access they need when they need it. The result: slow time to production for ML models – and missed opportunities for the business. What if we could change all that? Cloudera gives you one place to securely access all your data regardless of its...
Automated Excellence: Streamlining ML i...
With Cloudera Applied Machine Learning Prototypes (AMPs), agencies can revolutionize the development and deployment of machine learning models in Civilian, DOD, and SLED sectors as well as equip them with the knowledge and tools needed to overcome common challenges. In this webinar, attendees learned about:Fundamental AMPs and how they enhance efficiency in ML modelsLearning Language Models (LLMs) and how they integrate into the AMP library to...
Powering the Future: A Blueprint for Ut...
Embracing next-generation technologies to efficiently manage real-time, multi-structured data is imperative when it comes to optimizing operations and enhancing citizen experiences. Recognizing digital evolution as a key strategic priority, state and local utility agencies must evolve by rethinking the value chain to what the future of enterprises will look like. Watch this on-demand webinar to discover how Cloudera is revolutionizing data ana...
Next-Gen AI for Government: Optimize Pe...
Government agencies face a multitude of pressures to leverage artificial intelligence (AI) for improved efficiency, cost savings, and enhanced citizen services. Increasing demands for transparency, accountability, and responsiveness require innovative solutions. However, translating pilot AI projects into operational realities can be a complex challenge. Data silos, inconvenient development processes, and ensuring model fairness and explainabi...
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