Agents, Copilots and Beyond: Everyday AI's Jordan Wilson on Future of AI in the Enterprise
Description
In this episode of the AI Proving Ground Podcast, we talk with Jordan Wilson, host of the popular Everyday AI Podcast, to unpack the realities of enterprise AI adoption. From tool sprawl and failed pilots to executive sponsorship and agentic models, Jordan shares lessons he's taken away from thousands of conversations with enterprise leaders — and explains why soft skills and unlearning old habits may be the ultimate keys to success.
Support for this episode provided by: Cyera
Jordan Wilson is a seasoned digital strategist, a 'Top AI Voice' on LinkedIn, a top-rated Generative AI Instructor on Coursera and AI keynote speaker. He hosts the Everyday AI podcast, a fast-growing media and consulting company helping professionals grow their companies with Generative AI. Everyday AI fills the AI knowledge gap between the demand for GenAI skills and the lack of business trainings.
Check out Jordan's podcast: Everyday AI
The AI Proving Ground Podcast leverages the deep AI technical and business expertise from within World Wide Technology's one-of-a-kind AI Proving Ground, which provides unrivaled access to the world's leading AI technologies. This unique lab environment accelerates your ability to learn about, test, train and implement AI solutions.
Learn more about WWT's AI Proving Ground.
The AI Proving Ground is a composable lab environment that features the latest high-performance infrastructure and reference architectures from the world's leading AI companies, such as NVIDIA, Cisco, Dell, F5, AMD, Intel and others.
Developed within our Advanced Technology Center (ATC), this one-of-a-kind lab environment empowers IT teams to evaluate and test AI infrastructure, software and solutions for efficacy, scalability and flexibility — all under one roof. The AI Proving Ground provides visibility into data flows across the entire development pipeline, enabling more informed decision-making while safeguarding production environments.