Michelle Hawley

The Inference

The Inference is VKTR's podcast for enterprise AI practitioners and leaders who need more than headlines. Each episode delivers practical insight on agentic AI, AI platforms, ethics, risk, and the business decisions shaping the AI era. Produced by Simpler Media Group.

No dejes de visitar la web del podcast y apoyar a su creador: sites.libsyn.com

Autor

Michelle Hawley

Categoría

Technology

Web del podcast

sites.libsyn.com

Último episodio

17 de jun. de 2026

¿Dónde escuchar?

Podcasts en la app Replaio Radio Muy pronto

Los podcasts llegarán muy pronto a la app. Instálala ahora y sé el primero en descubrir una forma totalmente nueva de vivir los podcasts

Descárgala en Google Play Instálala gratis Android casi 10 M de descargas · valoración de 4,8 iOS muy pronto

Episodios

Bad Bots, Big Bills and the AI Scaling Problem 17.06.2026

Shri Nandan, VP of AI Products and Experiences at Comcast, joins host Michelle Hawley to discuss what it actually takes to build and scale AI inside one of the largest enterprises in the country. Nandan shares how her team uses agentic frameworks, customer data platforms and cross-functional alignment to drive AI strategy at Comcast. The conversation covers the real costs of scaling AI beyond the...

The Measurement Trap: Daniel Wu on Scaling AI Past the Pilot 26.05.2026

Daniel Wu spent years building AI infrastructure at JP Morgan Chase — including the firm's largest LLM production system and its first agentic AI solution — before moving to Stanford's AI Professional Program. In this inaugural episode of The Inference, he names the measurement trap killing most enterprise AI strategies, breaks down why 88% of organizations experimenting with AI see almost no meas...

Escucha el podcast The Inference en Replaio

Radio y podcasts en una sola app - gratis y sin registro. Instálala hoy y no te pierdas el estreno

Descárgala en Google Play

Replaio no es editor de podcasts; los nombres de los programas, las portadas y el audio pertenecen a sus autores y se distribuyen a través de canales RSS públicos