Why Most Enterprise AI Projects Fail and How AI Agents Could Finally Make Them Work
No se pudo agregar al carrito
Add to Cart failed.
Error al Agregar a Lista de Deseos.
Error al eliminar de la lista de deseos.
Error al añadir a tu biblioteca
Error al seguir el podcast
Error al dejar de seguir el podcast
Why Most Enterprise AI Projects Fail and How AI Agents Could Finally Make Them Work
-
Narrado por:
-
De:
Ever wondered why most enterprise AI projects never make it past flashy demos into real-world applications? Manjeet Singh, Senior Director of Product Management at Salesforce, sits down with Alchemist Accelerator CEO Ravi Belani to uncover why so many companies get stuck—and what it truly takes to move AI from proof-of-concept to full-scale production.
In this episode, you'll learn:
Why even promising AI demos rarely reach production
The key barriers companies face: accuracy, trust, and data security
Emerging opportunities for both startups and established enterprises
Practical frameworks and tools (like LangChain and LLaMA Index) you can use right now
Manjeet also shares his perspective on AI "agents," intelligent assistants designed to tackle daily tasks, and why he's excited about the future intersection of AI with health and wellness.
If you're serious about moving your AI beyond the lab, this conversation is for you.
We would love to know what you think about our podcast. Please take a minute to complete our short feedback form: https://bit.ly/3H4XkiJ