A recent study found that generative AI can boost worker productivity by 40%—but these gains come with security, data privacy, and compliance concerns. Watch this webinar to learn how to build effective AI solutions that are secure by design.
Balancing AI innovation and data governance: Tines and AWS share strategies for secure AI adoption
Originally hosted on
Speakers
Stephen O’Brien
Head of Product, Tines
Ashok Mahajan
Senior Solutions Architect, Amazon Web Services (AWS)
Generative AI can boost a highly skilled worker’s productivity by as much as 40%—and organizations are understandably eager to take advantage of these gains. But as software vendors rush to deliver new AI features, the meteoric rise of AI is raising security, data privacy and compliance concerns.
Organizations must develop effective strategies to mitigate these risks while also providing models with enough contextual information to allow them to solve problems accurately and effectively. In this webinar, experts from Tines and AWS will share how they adopted a secure-by-design approach to building AI features and share proven strategies to implement AI within a robust security posture. After viewing the webinar, you’ll understand:
- What AI deployment means for data privacy, security and compliance
- How to design AI features for real-world impact and better ROI
- How to safeguard data privacy when training AI models
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