Government agencies and organizations are looking to Artificial Intelligence and data analytics as a means to better protect and serve their citizens. But deploying the infrastructure needed to support AI at scale remains a challenge for many, given the complexity of achieving high performance and accuracy, all while managing costs and utilization. The use of AI in government must take into account privacy and security, compatibility with legacy systems, and evolving workloads.
Watch the on-demand webcast for a better understanding of how to move, store and process the data – from edge to cloud -- that fuels insights and action.
In this webinar experts talked about strategies for deploying applications into production both quickly and cost-effectively, including:
- AI Hardware: multi-purpose, purpose-built, customizable and application-specific solutions – finding the best hardware for each job with software optimizations to extract maximum performance
- New memory technologies that provide affordable large capacity and data persistence
- AI-optimized FPGAs for high-bandwidth, low latency AI acceleration
GBC Playbook Presentation
Moderated Panel Discussion
Dr. Erwin Gianchandani
Deputy Assistant Director for Computer and Information Science and Engineering
National Science Foundation
Public Sector Data Science Technical Director
Chief Executive Officer
Government Executive Media Group
Powering Innovation from Edge to Cloud
Intel’s new resource center provides resources to government decision-makers and helps the public sector make the most of modernization efforts. The resource center is your one-stop-shop for information on the remote workforce, securing the edge, data modernization and offering insights that help you achieve mission success. And to keep up with ever-evolving nature of technology, we’ll be updating it regularly with new content, so you’ll always be up-to-date on the latest tools, trends and offerings.
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