WEBINAR
ON DEMAND
ON DEMAND
ON DEMAND

Safeguarding Sensitive Data in the Age of Generative AI

In this fireside chat, we discuss:
In this webinar, we discuss:
In this tech-talk, we discuss:
  • What Generative AI could mean for your business
  • Secure and scalable ways to protect sensitive data in AI and LLMs
  • How a privacy-by-engineering approach supports the ethical use of AI
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Description
Description
It’s no secret that generative AI and LLMs are the next big thing to revolutionize the tech world. But while these technologies offer transformative opportunities for businesses, they also raise significant concerns about the privacy and security of sensitive data because as LLMs learn, they remember everything — and you can’t make them “unlearn”. This raises a pressing concern: What are the implications of sharing sensitive data with generative AI models?
Join us for an insightful tech talk with Skyflow Head of Developer Relations, Sean Falconer, as we explore:
  • Privacy challenges raised by new AI technologies
  • Secure ways to leverage LLMs and generative AI without sacrificing customer privacy
  • Practical strategies for implementing privacy-by-engineering in AI systems
Q&A Host
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Speaker
Speakers

Sean Falconer

Head of Marketing, Skyflow

Sean Falconer has over 15 years experience working in research, engineering, product, developer relations, and marketing. Prior to Skyflow, Sean worked with the World Health Organization to help modernize development of the International Classification of Disease, founded Proven.com, and led developer relations and experience for Google's Business Communication products.

Speaker
Speakers

Sean Falconer

Head of Marketing, Skyflow

Sean Falconer has over 15 years experience working in research, engineering, product, developer relations, and marketing. Prior to Skyflow, Sean worked with the World Health Organization to help modernize development of the International Classification of Disease, founded Proven.com, and led developer relations and experience for Google's Business Communication products.