CDAO UK 2025
Presentations
In this keynote, Karl O’Hanlon will explore Veolia's strategy for cultural transformation, focusing on four key areas: establishing robust data foundations, implementing comprehensive training and community development initiatives, creating a collaborative AI framework, and securing CEO and executive committee sponsorship, as well as discussing the AI operating model
Karl O'Hanlon
Chief Data & Analytics Officer
VEOLIA
Vladimir Bendikow
Chief Data Officer
FIRSTBANK UK LIMITED
AI hype is softening as leaders expect value and results from AI investments. Don’t get caught holding a bag of empty promises. Learn key strategies for getting value from your AI initiatives today while also preparing for long-term success. Benefit from the lessons learned from our over 40,000 customers, industry advisors, and Qlik itself — all distilled into an easy-to-follow approach to drive AI success today and tomorrow.
Martin Tombs
Vice-President, Global GTM for Analytics and Field CTO EMEA
QLIK
As Channel 4 embarks on its new Fast Forward strategy, we will explore how we’re supporting the business through the development of a new centralised Analytics function. Will it be happy ever after? Or will the business stand us up at the altar?
Things we’ll cover:
- How we changed our operating model to overcome siloed data and insights teams.
- How we plan to overcome functional silos between Analytics, BI and Research to deliver a source of truth to the business.
- How the structure has enabled us to deliver holistic insights about our audiences.
- The early wins we’ve had, and lessons learned as we’ve gone through this transformation.
Adam Sangster
Analytics Lead
CHANNEL 4
Dr. Parves Khan
Lead Business Transition Partner
CHANNEL 4
Data is everywhere but turning it into measurable business outcomes is still a challenge for many organisations. In this session, Brendan Buckingham from IBM will share specific strategies and tools that enterprises are using to overcome these hurdles. Focusing on real-world examples, Brendan will demonstrate how companies are using AI to extract value from their data, tackle organisational barriers, and deliver results that matter.
Expect actionable insights as Brendan unpacks the nuances of monetising data in today’s fast-paced business environment.
- Leadership in Action: Hear how leadership decisions have played a pivotal role in turning data initiatives into revenue-generating opportunities.
- Breaking Barriers: Learn how to address key challenges such as fragmented data sources, scepticism among stakeholders, and operational silos.
- Real Results: Discover how global enterprises across industries are leveraging AI to drive outcomes like increased revenue, operational efficiency, and new customer value.
Brendan Buckingham
Data and AI Business Development SME
IBM
In this session, Danielle Timmins, Chief Data Analytics Officer at Freerange Creatives, will delve into how innovative applications of AI and data collaboration can enhance financial inclusion. Drawing on her experience addressing systemic barriers to financial access, Danielle will present real-world examples of ethical data usage driving transformative change. The talk will focus on actionable strategies to leverage AI for bridging gaps in financial access, empowering underserved populations, and fostering sustainable economic development.
Takeaways:
- Ethical AI in Practice: Discover how AI and data can be used responsibly to combat financial exclusion.
- Collaborative Models: Explore frameworks for partnerships between organizations to address systemic challenges.
- Scalable Solutions: Gain practical strategies to implement AI solutions with measurable impact.
- Case Studies: Learn from financial inclusion initiatives making a difference globally.
Danielle Timmins
Chief Data Analytics Officer
FREERANGE CREATIVES
Great Customer Outcomes are reliant upon great identification of who the customer is across all IT systems. We have all seen the internal shenanigans that go on to keep customer data in sync across different systems inside and outside an enterprise.
One area that crops up consistently is the customer’s address, we move it around in numerous formats, validate it against the PAF, compare it with one another and basically write loads of code just to deal with the address, including how we share it from one organisation to another.
This session provides a 12-step plan to solve that issue.
Robert Lee
Chief Data Architect
HM REVENUE & CUSTOMS
Despite the critical role of data quality in AI and analytics, many organizations remain hesitant to invest in it. This keynote speech will explore the reasons behind the reluctance to address data quality challenges head-on. It will examine various factors contributing to this hesitation, from unclear value propositions to the temptation of launching AI use cases, perhaps prematurely. Many organizations still lack insight into the quality of their data, and even fewer understand how to extract maximum value from imperfect datasets. Few have developed effective strategies for leveraging less-than-perfect data. This talk will explore the real-world impact of data quality on business outcomes and customer experiences.
Gareth Hagger-Johnson
Director of Data Strategy
THE NOTTINGHAM
Data is everywhere but how much of it is communicated effectively? Lots of work goes into the curation of data sets only for it to fall at the last hurdle as the key insights are lost through poor visualisation and storytelling. This session will cover some of the foundations of data storytelling and data visualisation. This session will cover:
- How important design thinking is in data visualisation
- How to make numbers resonate to their audience
- A framework for building best in class charts
- How to tell and sell your data story
Andrew Mason
Head of Data and Analytics
GRAINGER PLC