Novo Nordisk GBS aspires to the employer of choice and recognises that employee engagement, people development, and cross-functional collaboration are crucial to creating a best-in-class, high-performance workplace culture. 92% of the GBS’s employees are happy with the leadership, with trust in the leadership’s vision.

John Dawber, Corporate Vice President & Managing Director – Global Business Services, Novo Nordisk, shares more on how he was able to drive a positive employee experience, stakeholder trust, and global process ownership through various initiatives.

• Developing different initiatives to encourage ownership and accountability and foster innovation and creativity

• Bringing attrition down to 6.5% in two years

• Sharing of best practices on how they successfully attracted and retained top talent

• Creating a diverse, inclusive culture where Everybody Matters

John Dawber

Corporate Vice President & Managing Director, Global Business Services
Novo Nordisk

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When implementing AI many organizations use a piecemeal approach, where AI is adopted step by step to different sub-processes as and when needed (or budget allows). Unfortunately, this can create a messy outcome, with disparate systems and multiple solutions that don’t talk to one another. True AI transformation requires looking at the whole operating model and imagining how it can be completely optimized with the help of AI. In this session, we take the opportunity to envisage what true finance transformation looks like in the Age of AI and a roadmap to get there.

·      Examining the impact and potential of AI on the finance operating model

·      How work and people must change

·      Building a transformation roadmap to get there

·      Making your transformation human-centric

Arindam Dutta

Director GBS
Ecolab

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Stefan Markov

Head of Financial Shared Services
Experian

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Imran Gohar

Product Marketing Director
AppZen

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Shared Services organizations are expected to deliver maximum value at minimal cost—but manual processes and static reporting make that mission harder every day. Traditional tools lack the speed and insight needed to identify and resolve risk at scale.  

In this session, we’ll challenge the assumptions behind “good enough” reporting and show how AI-powered analytics can transform operational efficiency. You’ll learn how real-time risk detection and automated workflows are streamlining spend processes and enabling smarter, more proactive spend control while improving compliance across large, complex organizations. In this session we’ll discuss: 

• Why static audits fall short in risk prevention  
• How AI automates routine tasks to free up shared services teams for strategic work  
• How to catch fraud and errors at the right time 
• Why scalable, proactive risk detection is now a Shared Services imperative 

Sponsored by: Oversight Systems

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Most senior finance leaders are blind to a hard truth: their communications are failing. But how do we improve? We need to get back to the basics by speaking to those on the ground and the frontlines of our organisations and engaging with them authentically. 

In this session, we’ll expose the common pitfalls that render your messages ineffective and demonstrate how to turn the tide. We’ll also give insight into what to do in the case of M&A activity, as change management can become even more difficult. We’ll focus on: 

• The top 5 errors made in change communication.
• How to communicate change during M&A and transformation
• Authentically communicating with a global team; exploring how local language and cultural nuances count
• Making the Memo count – assessing finance leaders go from spamming to making memos less frequent and far more impactful

Adam Holmes

SVP Head of Strategic Operations and Global Communications
Publicis Re:Sources

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SSON research shows that less than 20% of finance leaders feel themselves “knowledgeable and ready” for AI adoption in finance. The same research shows us that, organizations are under pressure to deliver ROI for any solution implementation within the first 18 months, meaning that slowly experimenting with AI isn’t really an option. Finance leaders need to know exactly where AI yields the best ROI, the best way to implement it and how to measure the results. In this session all will be revealed, and we’ll delve into:

·      Real-life AI use cases within finance and which yield the quickest results.

·      Hard and soft benefits of using AI in finance to help you build the business case

·      Mistakes that slow you down