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AI adoption: Lessons from the inside

About this event

AI tools have been deployed across organizations at unprecedented speed, creating opportunities for companies to work smarter and faster. But now what? While many organizations have moved quickly from AI experimentation to pilots, a challenge remains: turning promising AI initiatives into lasting transformation in the way people work. Too often, AI remains confined to isolated use cases rather than becoming a meaningful part of day-to-day business.

Successful transformation depends on more than the technology alone; many leaders are discovering the real impact comes not just from deploying AI – but from helping teams adopt it with confidence, purpose, and momentum.

Join Conny Ploth, Vice President of AI Transformation at Santander, and Martin Redigolo, Client Partnerships Director at Manyone, for a conversation about turning AI ambition into reality. 

Together, they’ll unpack the realities of enterprise AI adoption and explore what it takes to build alignment, foster curiosity, and create the conditions for AI to deliver meaningful outcomes across leadership, culture, and governance.

Takeaways:

  • How to inspire widespread AI adoption and build momentum across teams
  • Practical approaches for creating a culture of experimentation and learning
  • Ways to measure progress, harness emerging AI behaviors, and turn investment into lasting business value

Hosted by

  • External speaker
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    Conny Ploth Vice President of AI Transformation @ Santander

    With 20 years of global leadership experience, Conny specializes in transforming ambitious visions into tangible results at the intersection of business, technology and data. At Santander, Conny leads AI adoption at scale, enabling new ways of working and unlocking real value across the organization.

  • Team member
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    Martin Redigolo Client Partnerships Director @ Manyone

    Martin is Client Partnerships Director at Manyone. With 20+ years across advertising, consulting, and design, he's learned that how you implement AI matters more than what you implement. He builds the team capabilities and cultural conditions that make adoption actually stick.

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