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The AI Opportunity in Federal - Key Highlights from GTC DC 2018

Every industry will be empowered by AI from autonomous vehicles and robotics to healthcare and agriculture. The computational power that AI can provide will streamline workflows, maximize efficiencies, and open doors to new discoveries.

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The AI Opportunity in Federal - Key Highlights from GTC DC 2018

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  1. Key Highlights from GTC DC 2018 The AI Opportunity in Federal

  2. “It’s Clear NVIDIA is Leading the A.I. Revolution” -TheStreet source: https://www.thestreet.com/investing/nvidia-is-leading-the-a-i-revolution-14754500

  3. Deep Learning Institute 18 Workshops Professional Talks 238 Speakers + 140 Sessions Show Floor 41 Exhibitors GTC Washington D.C. had a record showing with 2,000+ attendees, bringing together agency leaders, congressional staff, entrepreneurs, developers, and startups from various industries to discuss the opportunity of better serving the public good by partnering with AI and leveraging its capabilities.

  4. “Artificial intelligence has the potential to improve citizen services, kickstart the economy and create a more efficient government…” -Nextgov Every industry will be empowered by AI from autonomous vehicles and robotics to healthcare and agriculture. The computational power that AI can provide will streamline workflows, maximize efficiencies, and open doors to new discoveries. source: https://www.nextgov.com/analytics-data/2018/10/federal-cio-artificial-intelligence-initiatives-will-flop-without-quality-data/152280/

  5. “AI is a priority of this entire administration, our lawmakers and our federal leaders.” -FCW AI adoption is growing quickly on a global scale. Suzette Kent, CIO of the U.S. Government, addressed that AI policy and AI enablement across all industries is a top priority issue. She stressed the importance of implementing the technology ethically and partnering with experts from every industry to understand how to best integrate the technology to augment our workforce. source: https://fcw.com/articles/2018/10/24/kent-cio-ai-gunter.aspx

  6. “[Agencies] are using drones that map disaster-stricken areas and facial recognition to speed up air travel.” -Federal News Network In 2017, the U.S. spent $306B to support natural disaster relief efforts. The opportunity to bring AI to help first responders will increase response times and save lives not just at a national level, but on a global scale. source: https://federalnewsnetwork.com/artificial-intelligence/2018/10/dod-sees-ais-potential-in-addressing-humanitarian-disaster-relief-challenges/

  7. “Scripps Research Translational Institute and NVIDIA will collaborate to create deep learning tools aimed at deriving actionable insights from genomic and medical sensor data.” -Health Data Management Bringing AI into medicine can revolutionize the industry by providing faster diagnosis and time to treatment. Scripps and NVIDIA will look to combat this by building datasets, training tools and models to accelerate the AI transformation in early disease prediction and prevention. source: https://www.healthdatamanagement.com/news/scripps-nvidia-to-partner-on-deep-learning-research

  8. “Red Hat, NVIDIA regulate on open source offerings to accelerate emerging workloads like artificial intelligence.” -Computer Technology Review As AI begins to integrate with enterprise data science teams, they require something that will not impact their performance or workflows. NVIDIA’s partnership with Red Hat will allow data scientists to tap into the computing performance of DGX-1 with the operational familiarity of Red Hat. source: http://wwpi.com/2018/10/23/red-hat-nvidia-regulate-on-open-source-offerings-to-accelerate-emerging-workloads-like-artificial-intelligence/

  9. “We are now at that point where we’re saying ‘help us think through the right metrics,”’ to prove that a car driven by artificial intelligence is at least as safe as a human driver.” -Bloomberg NVIDIA’s own autonomous vehicle, BB8, traveled 50 miles around the bay area completely autonomous. NVIDIA became the fifth company to submit a self-driving safety inspection report. source: https://www.bloomberg.com/news/articles/2018-10-23/self-driving-car-industry-needs-better-metrics-dot-s-kan-says

  10. “RAPIDS is NVIDIA’s new open-source software that serves as a GPU-acceleration platform to give companies ability to analyze massive amounts of data and make accurate business predictions at unprecedented speed.” -Avionics NVIDIA’s new open-source software, Rapids, brings GPU acceleration to data science. RAPIDS achieves speedup factors of 50x or more on typical end-to-end data science workflows. source: https://www.aviationtoday.com/2018/10/23/nvidias rapids brings gpu power predictive data analytics/

  11. To learn more about NVIDIA in government, visit: https://www.nvidia.com/public-good

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