From retail to financial services, enterprises face the same challenge: fragmented, siloed data. Customers expect personalization at every touchpoint, yet most organizations still rely on outdated systems that slow progress.
On the NVIDIA AI Podcast, Derek Slager, co-founder and CTO of Amperity, explains how artificial intelligence is reshaping data workflows, developer productivity, and customer data platforms for brands worldwide.
3 key insights from the podcast
1. Agentic AI goes beyond automation
Unlike static automation, agentic AI adapts to real-time context. For enterprises managing billions of records, this means less manual work and faster execution. Retailers, global CPGs, and financial brands can use agentic AI to:
Speed up campaign execution across regions
Reduce repetitive data engineering tasks
Improve decision-making with adaptive workflows
2. “Vibe coding” opens AI to more users
Slager introduces “vibe coding,” a conversational way to interact with developer tools. Instead of writing complex commands, teams can use natural language prompts to query data, build workflows, and test ideas.
This lowers the barrier between technical and business teams, making AI accessible across geographies - from HQ in New York to marketing hubs in London or Sydney.
3. Data quality is the foundation of AI
The success of AI in enterprise settings still depends on clean, unified data. Without identity resolution and accurate inputs, even the most advanced models deliver poor outcomes.
For brands expanding globally, strong customer data platforms (CDPs) ensure AI outputs are reliable - supporting personalized campaigns, better analytics, and stronger loyalty programs.
Listen to the full episode
This episode is more than a conversation about AI - it’s a practical look at how enterprises worldwide are rethinking data and developer productivity.
Listen to Derek Slager on the NVIDIA AI Podcast and explore how Amperity is helping brands unlock smarter, faster, and more scalable data strategies.