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Managing DoT Data for Optimized Service...
As state and large city Departments of Transportation (DOTs) continue to maximize the value of their institutional data, advances in data management, including machine learning and artificial intelligence, offer new opportunities to leverage this data to improve safety and better serve constituents. A secure, flexible and open data architecture – one that can leverage cloud and on-premise resources, as well as existing investments ...
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NOW '25
ClouderaNOW, our quarterly virtual event, is for all data practitioners including data scientists, data engineers, and analytics professionals who want to learn about Cloudera’s latest and upcoming product innovations. Through comprehensive demos, customer use cases, and interactive Q&A sessions, attendees will gain new skills and knowledge to apply to their data, analytics, and AI initiatives.
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2025 Trends for Data and AI
Trends in data, analytics, and AI are rapidly changing and enterprises are struggling to adapt their data strategy accordingly. Start the new year strong and get a head start on your enterprise’s data strategy by diving into expert predictions for 2025. During this panel, you’ll hear three data and AI leaders discuss these trends and their perspectives on the business impact. Topics will include:Evolution of AI strategies in 2025.R...
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Real-Time Insights From 911 Call Data:...
Cloudera, in collaboration with AWS, explores how public safety agencies can harness the power of real-time, data-centric solutions to improve emergency response and community safety. This webinar demonstrates how technologies like Apache Nifi, Kaika and Apache Iceberg work together to stream, structure and analyze 911 call center data at scale.Attendees explored how geo-powered analytics and scalable cloud infrastructure equip agencies to:Mon...
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Accelerating Federal AI: Dell & Clouder...
Federal agencies face significant AI adoption challenges, including lengthy deployment times, escalating public cloud costs and complex AI scaling on existing hardware. This is further amplified by fragmented legacy platforms that lack integrated data management, unified security and the governance essential for modern AI. These obstacles hinder AI use for critical missions, necessitating a strategic shift aligned with federal data modernizati...
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Building Trust and Compliance in SLED O...
In the dynamic landscape of the State, Local and Education (SLED) organizations, data integrity, auditability and transparency are essential. However, because data is often fragmented across multiple systems, it compromises the ability to ensure consistent and reliable data for reporting and critical decision-making. By transitioning from traditional, manual methods of tracing data, organizations can build a more resilient and trustworthy data...
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