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How Communities of Practice accelerate data & AI capability


Committed champions and Communities of Practice are an undervalued part of building org-wide change.

This session is for CDOs and other data leaders who want to create and sustain Communities of Practice in the long term.

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Why you should join

This webinar tackles the key questions of how leaders turn one-off training into lasting capability, and what it really takes to embed data & AI literacy so it sticks across the enterprise.

Join this session and receive:

1. A practical roadmap for building Communities of Practice that sustain themselves

2. A proven roadmap for moving from initial training to organisation-wide adoption

3. Clarity on how to overcome the change-resistance that stalls most literacy programmes

4. Real-world lessons from a Head of Data who has done it inside a global enterprise

Sign up for this webinar

Jonlee Lockwood

Jonlee Lockwood is the Head of Data at Engie UK. He has a proven track record in addressing and tackling complex problems, and successfully transforming projects in the data domain.

He joins this session to explain how an engaged network of champions are impacting Engie.

Dani Arnold

Dani Arnold leads Data & AI Literacy Academy's customer team as Director of Customer Experience & Operations.

She has profound understanding and experience of how change management is essential to driving
sustainable data cultures in enterprise.

Jessica Moricca

As Community and Events Manager, Jessica Moricca engages with customers to support their efforts to drive impact at scale.

She leads workshops and events, and brings leaders and employees together to capture where in the business the most value regarding data & AI can be propelled forward.

About Data & AI Literacy Academy


Data & AI Literacy Academy empowers enterprise teams to become data & AI literate by delivering live, online and on demand education led by industry experts.

We take a change management approach to shape best-in-class data cultures. By bridging the gap between business and data teams, every department can unlock the value of their data & AI.

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