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What does it actually take to move AI from experimentation to enterprise-wide impact?
In this episode of Technovation, Peter High speaks with Leigh-Ann Russell, Chief Information Officer and Global Head of Engineering at Bank of New York (BNY), about how one of the world’s most systemically important financial institutions is operationalizing AI at scale. Leigh-Ann shares how BNY trained 99% of its 50,000-person workforce on AI, moved beyond pilots into deep enablement, and empowered employees across technical and non-technical roles to build AI agents that drive real productivity gains.
Key topics discussed include:
Training nearly the entire workforce to become AI-literate
Moving from AI pilots to enterprise-wide enablement
Empowering employees to build and deploy AI agents
Reducing cognitive load while improving speed and resilience
Leading AI adoption through hands-on executive behavior
By Metis Strategy4.8
7373 ratings
What does it actually take to move AI from experimentation to enterprise-wide impact?
In this episode of Technovation, Peter High speaks with Leigh-Ann Russell, Chief Information Officer and Global Head of Engineering at Bank of New York (BNY), about how one of the world’s most systemically important financial institutions is operationalizing AI at scale. Leigh-Ann shares how BNY trained 99% of its 50,000-person workforce on AI, moved beyond pilots into deep enablement, and empowered employees across technical and non-technical roles to build AI agents that drive real productivity gains.
Key topics discussed include:
Training nearly the entire workforce to become AI-literate
Moving from AI pilots to enterprise-wide enablement
Empowering employees to build and deploy AI agents
Reducing cognitive load while improving speed and resilience
Leading AI adoption through hands-on executive behavior

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