{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"AI-First Podcast","title":"How WongDoody keeps humans in the lead with AI | Box AI-First Podcast EP 20","html":"<iframe width=\"100%\" height=\"180\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https://share.transistor.fm/e/f46572da\"></iframe>","width":"100%","height":180,"duration":1427,"description":"How do you balance the endless potential of AI with the need for strict control?In this episode of the AI First Podcast, Jon Herstein, Chief Customer Officer at Box, sits down with Jeff Chambers, VP of IT Technology at WongDoody an Infosys Company, a global creative technology company. Jeff digs into how WongDoody is using AI to drive innovation, from automating workflows to enhancing digital marketing strategies for global brands.Learn how they’re balancing the power of AI with strong governance, ensuring security and privacy while embracing new technology. Jeff also discusses the challenges of scaling AI responsibly, the importance of a human-in-the-lead approach, and the impact of AI on their internal culture and processes. Key moments:(00:00) Introduction(01:04) Jeff Chambers introduces himself and WongDoody(01:15) What breaks first when scaling AI across an organization?(01:36) Security and privacy as the primary failure points in enterprise AI adoption(02:25) The tension between enabling AI experimentation and enforcing governance(02:47) How WongDoody follows Infosys's ISO 42001 framework to vet AI models(03:50) Zero trust as the foundation for AI governance and scaling(04:20) What's allowed, what's restricted, and how it's enforced across geographies(04:31) Using Box Enterprise Advanced to deploy AI on data in a deliberate, controlled way(05:49) Managing AI credits, usage tracking, and preventing uncontrolled spend(05:57) Treating AI credits as an R&D expense and benchmarking models against each other(08:07) What most organizations are underestimating about AI right now(08:12) The missing strategy: experimentation lifecycle, change management, and sustained iteration(09:07) The challenge of model deprecation and the need to continuously maintain AI solutions(09:35) Why WongDoody recommends against prematurely customizing or fine-tuning models(10:27) The first controls CIOs need before moving AI from experimentation to production(10:49) Strategy, change...","thumbnail_url":"https://img.transistorcdn.com/j4SH_SJXIFpvjH4B8yyPpvmdnt9L4RNNWKUrP1zhnaI/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS8xMDdi/MDE2MzZjY2Q0ZjNk/YWZkYmI2MDkyZjg3/YmUzOS5qcGc.webp","thumbnail_width":300,"thumbnail_height":300}