Qwoted is a free expert network: we help reporters connect with experts & we help those same experts build relationships with top reporters.
Event Date |
Thu Jul 27 UTC (over 1 year ago)
In your timezone (EST): Wed Jul 26 8:00pm - Wed Jul 26 8:00pm |
Location | Webinar |
Region | All |
While large language models (LLMs) and AI platforms can be highly useful resources, these models often lack the agency-specific information that holds valuable insights that can enhance these tools' capabilities. To bridge this gap, organizations must train LLMs with their proprietary data, but doing so can be difficult for government agencies required to meet certain security and privacy mandates.
For a short presentation and moderated discussion where attendees will discover how to maximize the benefits of generative AI while keeping their private data secure.
Key takeaways include:
• A high-level overview of the fundamentals of generative AI
• Best practices for securely integrating enterprise data with OpenAI
• The risks of LLMs and how to mitigate them
2023 Speakers
Shane Scholes
Senior Public Sector Solutions Architect, Elastic
Kathryn Eeds
Partner Engineer, Google Cloud
MODERATOR:
Sean McSpaden
Executive Level Information Technology Professional, Public Sector
2023 Sponsors
• Elastic
• Google Cloud