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 explainability can hinder the speed at which agencies harness the full potential of AI.

In this webinar, attendees got to explore proven strategies for transitioning generative AI projects from pilot to production, including:

• Optimized inference for robust performance across diverse workloads with Cloudera's powerful data platform
• Seamless data integration facilitated by Cloudera DataFlow, streamlining LLM development processes
• Leveraging NVIDIA GPUs for efficient model training, ensuring high performance and scalability
• Utilizing NVIDIA RAPIDS for accelerated data processing, enhancing the efficiency of model development
• How to build and deploy Retrieval-Augmented Generation (RAG) applications for practical use cases, such as code completion, chatbot development, and document summarization

Discover how this integrated solution empowers agencies to unlock the value of their enterprise data and drive transformative AI workflows.

• Read this blog by Nasheb Ismaily, our featured speaker for this webinar, to learn about Cloudera and NVIDIA's work together with the IRS.
• Learn more about the impact that machine learning can make on the government and hot to implement it into you agency with this white paper.