How Elastic Path Uses Paved and Unpaved Roads To Grow AI Adoption with Bryan House
Impossible d'ajouter des articles
Échec de l’élimination de la liste d'envies.
Impossible de suivre le podcast
Impossible de ne plus suivre le podcast
How Elastic Path Uses Paved and Unpaved Roads To Grow AI Adoption with Bryan House
-
Lu par :
-
De :
À propos de ce contenu audio
In this episode, host Rick Watson talks with:
Bryan House, CEO of Elastic Path, discusses AI's transformative impact on commerce. OpenAI's instant checkout exemplifies AI's shift toward directly monetizing transactions, leveraging its vast user base and memory capabilities for personalized shopping.
House discusses how ElasticPath embraces AI through Model Context Protocol (MCP) to streamline storefront development and enhance merchandiser workflows via natural language prompts. How AI accelerates product development and prototyping, improving communication between product managers and engineers.
He discusses potential AI challenges, including managing probabilistic AI outputs, ensuring agent authentication to prevent fraud, and balancing speed with accuracy in user experiences. The company fosters AI adoption by providing 'paved roads'—standardized tools—while allowing innovation through 'unpaved roads.' Tools like Replit and Lovable help users at different skill levels with AI integration.
This podcast uses the following third-party services for analysis:
Podtrac - https://analytics.podtrac.com/privacy-policy-gdrp
Vous êtes membre Amazon Prime ?
Bénéficiez automatiquement de 2 livres audio offerts.Bonne écoute !