How Elastic Path Uses Paved and Unpaved Roads To Grow AI Adoption with Bryan House
カートのアイテムが多すぎます
カートに追加できませんでした。
ウィッシュリストに追加できませんでした。
ほしい物リストの削除に失敗しました。
ポッドキャストのフォローに失敗しました
ポッドキャストのフォロー解除に失敗しました
-
ナレーター:
-
著者:
このコンテンツについて
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