In this episode of the podcast, Daniel Faggella and Mark Surman delve into the changing landscape of privacy, security, and data governance in our world shaped by generative AI. They explore how the focus has shifted from simple data protection to more complex issues like data source credibility, building customer trust, and ensuring ethical AI practices. Surman stresses the importance for businesses to not only meet compliance standards but also to adapt to new customer demands for transparency and respect. One essential takeaway is the idea that companies should develop in-house expertise in privacy and governance, staying vigilant about evolving regulations and innovative technologies. This proactive strategy is vital for achieving long-term success in an AI-driven future.
