Artificial intelligence is transforming every sector of the global economy, from healthcare and manufacturing to financial services and telecommunications. We have passed the initial hype stage — AI exists in many organizations as an established business competency and is now being deployed in detail to solve specific business problems.

So what current issues should companies be focusing on? What challenges are organizations facing as AI moves past the innovation phase of the technology life cycle and into mainstream adoption?

In this Keynote, Professor Dirk Swart of Cornell Engineering is joined by Luke Corbin and Jonathan Huer from AT&T Business to explore these developments. They examine how emerging AI solutions are being deployed across industries and what lessons can be learned from AT&T's experience as an early adopter of AI technologies.

This discussion covers practical aspects, such as building AI capabilities, managing data governance, scaling solutions enterprise-wide, and developing AI-ready talent and culture. You’ll gain insight into how AT&T's current AI initiatives compare with industry standards and consider common challenges faced during implementation as well as future possibilities in AI-driven business transformation.

Professor Swart’s Technical Product Management Certificate - https://ecornell.cornell.edu/certificates/technology/technical-product-management/

AI for Digital Transformation Certificate - https://ecornell.cornell.edu/certificates/technology/ai-for-digital-transformation/

Generative AI for Productivity Certificate - https://ecornell.cornell.edu/certificates/technology/generative-ai-for-productivity/

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