Red Hat has released a new episode of its Technically Speaking podcast, exploring the rapid evolution of enterprise AI. The discussion highlights the shift from static models to dynamic, agentic workflows. Tushar Katarki explains how the company is laying the groundwork for scalable AI solutions.
In a recent post on X, Red Hat outlined the fast-paced changes in the enterprise AI landscape. The company emphasized a transition from static models to more advanced, dynamic agentic workflows that promise greater flexibility and efficiency.
Tushar Katarki, a key figure at Red Hat, features in the latest episode of Technically Speaking, where he delves into the foundational elements Red Hat is developing to support scalable AI implementations. This episode, hosted by @kernelcub, provides insights into how these innovations can transform enterprise operations.
The podcast is available on Red Hat's website, offering listeners a deep dive into the technical aspects of building robust AI platforms. As AI continues to integrate into business processes, such discussions underscore the importance of adaptable architectures.
Red Hat's focus on agentic workflows aligns with broader industry trends toward more autonomous and intelligent systems, ensuring enterprises can leverage AI without being constrained by rigid models.