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H2O.ai Inaugurates GenAI World for Public Sector to Spur Growth and Innovation of Generative AI for Government Departments and Agencies
[February 27, 2024]

H2O.ai Inaugurates GenAI World for Public Sector to Spur Growth and Innovation of Generative AI for Government Departments and Agencies


H2O.ai, the open source leader in Generative AI and machine learning, continues its world tour of bringing GenAI World conferences to new sectors to further democratize AI. On February 29, 2024, H2O.ai launches its first public sector conference at The Pavilion at Ronald Reagan Building and International Trade Center in Washington, DC and has attracted 100+ executives and AI practitioners. Limited seats can be reserved at https://h2o.ai/events/generative-ai-summit/dc.

Event highlights and speakers include:

  • Unveiling of H2O Gov GenAI App Store at https://gov.h2o.ai/appstore. The launch will showcase dozens of public sector related use cases utilizing LLMs to summarize, find patterns, and analyze data in regulatory frameworks, congressional hearings, speeches/debates, RFI proposals and more.
  • Keynote by Harald Schneider, Chief Data & Analytics Officer, Equifax.
  • AI Risk panel with Reva Schwartz, Research Scientist/Principal Investigator for AI Bias, National Institute of Standards and Technology (NIST), and Keith E. Sonderling, Commissioner, United States Equal Employment Opportunity Commission (EEOC). Moderated by Dr. Agus Sudjianto, EVP, Head of Corporate Model Risk, Wells Fargo.
  • Financial regulation panel with Minesh Parekh, Head of Model Governance, Wells Fargo, and David Palmer, Senior Supervisory Financial Analyst, Federal Reserve Board.
  • An Overview of the NIST AI Risk Mangement Framework by Patrick Hall, Professor for AI Risk, The George Washington University. Participants will learn about the NIST AI Risk Management Framework v1.0, which provides a comprehensive approach to managing risk in AI/ML systems across the US private and public sectors, focusing on trustworthiness characteristics and risk management functions, with practical insights for contemporary system applications.
  • Fireside chat on Guidelines for AI Robustness and Security with Heather Frase, Senior Research Fellow of Standards and Testing, Center for Security and Emerging Technology (CSET), Marc Abrams, Chief Technology Officer, Harmonia, and H2O.ai Makers
  • Panel discussions with Ekin Solutions and H2O Kaggle Grandmasters
  • Generative AI Masterclass. Join H2O.ai Makers to learn about AI Safety in Generative AI for Government. These training sessions will cover GenAI use cases using public sector data, LLM benchmarking and evaluation best practices, GenAI interpretability, governance frameworks and model validation.



Please visit H2O.ai YouTube or Slideshare for on-demand content from past events and talks.

In the last year, sold-out H2O World events have been held in San Francisco, New York, London, Singapore and Sydney and attended by thousands representing over 30 countries and every industry.


For more information about H2O GenAI World DC, please visit https://h2o.ai/events/generative-ai-summit/dc/.

About H2O.ai

Founded in 2012, H2O.ai is at the forefront of the AI movement to democratize Generative AI. H2O.ai's open source Generative AI and Enterprise h2oGPTe, combined with Document AI and the award-winning autoML Driverless AI, have transformed more than 20,000 global organizations and over half of the Fortune 500 and household brands, including AT&T, Commonwealth Bank of Australia, PayPal, Chipotle, ADP, Workday, Progressive Insurance and AES. H2O.ai's AI for Good program supports nonprofit groups, foundations and communities in their efforts to advance education, healthcare, and environmental conservation, including identifying areas vulnerable to natural disasters and protecting endangered species.

H2O.ai has a vibrant community of 2 million data scientists worldwide, and aims to bring together the world's top data scientists with customers to co-create GenAI applications that are usable and valuable by everyone. Business users can now leverage the power of LLMs to enhance productivity with enterprise applications.


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