Ep124: Powering Enterprise AI - How Our AI Journey Evolved featuring Jamf

Sam Johnson introduces himself as Chief Customer Officer from Jamf company

Jamf's 23-year mission: help organizations succeed with Apple device management

Company manages 33+ million devices for 76,000+ customers worldwide from Minneapolis

Jamf has used AI since 2018 for security threat detection

Released first customer-facing generative AI Assistant just last year in 2024

Presentation covers why, how they built it, use cases, and future plans

Jamf serves horizontal market from small business to Fortune 500 companies

Challenge: balance powerful platform capabilities with ease of use and adoption

AI could help get best of both worlds - power and simplicity

AI also increases security posture and scales user capabilities significantly

Customers already using ChatGPT/Claude but wanted AI embedded in product

Built into product to reduce "doorway effect" of switching digital environments

Created small cross-functional team to survey land and build initial trail

Rest of engineering organization came behind to build the production highway

Team needed governance layer with input from security, legal, other departments

Evaluated multiple providers but ultimately chose Amazon Bedrock for three reasons

AWS team support, large community, and integration with existing infrastructure

Uses Lambda, DynamoDB, CloudWatch to support the Bedrock AI implementation

AI development required longer training/validation phase than typical product features

Released "AI Assistant" with three skills: Reference, Explain, and Search capabilities