In today's rapidly evolving business landscape, AI strategies are quickly becoming the cornerstone of digital transformation. However, in the current rush to keep up with competitors, hypes and buzzwords, how many of these strategies will really succeed? How many will be written off as a huge waste of resource and money? Before you go any further, maybe it is time to think again.

• Get insights into some early failed strategies and how to avoid the same fate.
• Explore the key pillars of successful AI strategies and some key factors that must proceed any attempts of big strategic overhauls.
• Critically assess your current plans to see if you are really ready for the journey.

Eric Tyree

Executive Director, Data Platforms, Products & AI
Virgin Media O2

See Bio

In today's environment it is not enough to collect data and generate analytics - the most ambitious enterprises are assembling a "data flywheel", where data is turned into operational decisions, followed by action which in turn generates more data, feeding and accelerating the flywheel.

• Discover the concept of data flywheels, first popularized by Jensen Huang, before delving in specifically into customer-orientated flywheels. 
• The session will propose a 'crawl-walk-run' approach to transform from prescriptive analytics through to predictive ML and finally to the AI agentic future.
• Real examples and use cases of how top enterprises are implementing these approaches today. 

Sponsored by: Snowplow

---

Moving the company along the data maturity curve, fast and cost effectively, is a goal that unites CDOs across all industries. While every venture will be faced with its own set of legacy challenges, budget restraints, structural and cultural hurdles, accelerating data maturity is imperative to be able to successfully adopt innovative technologies, including Gen AI. hear how the successes and failures of others can help fast track your journey.

• Get top tips from CDOs on what they found most successful in steering companies towards a more data mature setup.
• Find out how peers find the balance between needing to show impact quickly and make sure change is sustainable.
• Discover innovative methods to ensure C-level and financial buy-in for your innovation next-steps.
• Frameworks to accurately assess your current position on the data maturity curve, with strategies to accelerate your organisation’s data capabilities in order to become AI ready.

Carlos Soares

Senior VP Data & AI
Brenntag

See Bio

Christian Cardone

Head of Market Data
Glencore

See Bio

Asheeka Hyde

Director of Technology - Data & Analytics
SSP Group

See Bio

Niresh Rajah

Chief Data & AI Officer
DLA Piper

See Bio

As organisations modernise and grapple with ever-increasing data volumes and complexity, data silos likely emerge as a result. This can significantly hinder innovation, efficiency and competitive growth. Graph databases are being utilised by organisations across industries to dismantle these barriers, transforming fragmented data into a cohesive and dynamic network of actionable insights.

• Learn how connected data can enhance department decision-making, fostering collaboration and improve visibility into critical processes such as risk management, fraud detection and customer engagement.
• Hear real-world case studies, illustrating how leading financial institutions employ graph technology to integrate their data, discover hidden opportunities and gain a competitive edge.
• Discover how moving beyond silos not only streamlines operations but also lays a foundation for innovation, driving sustainable growth in highly competitive industries.

Michael Down

Head of Financial Services Technology
Neo4J

See Bio

Speed “Data-ing” - Meet new delegates and learn about their current data challenges and successes.

The world of Business Intelligence and Data Analytics is about to be disrupted with Generative AI as the catalyst. A paradigm shift is happening from creating and consuming dashboards to asking your business questions using AI and getting answers from your data directly. But, to achieve this, Gen AI needs to overcome its biggest challenge: trust.

Marcos Monteiro will show you how they have tackled this challenge and enabled thousands of business people in major companies like AXA, Valora and Air Up, to get insights they can trust, powered by AI.

• Why is 'language' the key to unlock universal data democratization?
• The paradigm shift: from dashboards to semantics. What does this mean for your company?
• How can companies ensure trust and reliability in AI-powered Analytics?

Marcos Monteiro

CEO & Co-Founder
Veezoo

See Bio

In 2025, the data modern data stack, once categorised by a collection of specialised, best-of-breed tools, is facing new challenges and opportunities. On one side, we see the rise of all-in-one platforms promising seamless integration and simplified management. On the other, specialised vendors continue to innovate, offering cutting-edge solutions for specific data needs. This evolution raises the question for data leaders: Should you opt for integrated platforms that offer end-to-end solutions, or continue building your stack with specialised tools?

• Understand the key benefits and drawbacks of deciding between integrated platforms and specialised tools to help you formulate your strategy throughout 2025.
• Diverse insights and experiences from a panel of peers as to why they have decided to take an integrated platform or a specialised tool approach, so you can stay ahead of the game.
• Discover the potential application of both vendor strategies in order to drive cost-savings and impact across your data stack.

Harvi Johal

Head of Data
WildBrain

See Bio

Aubrey HB

VP of Data
Huuuge Games

See Bio

1. Measuring the intangible benefits of innovative data initiatives
2. Aligning short-term ROI with long-term data strategy value
3. Metrics for measuring stakeholder confidence and trust in your data initiatives
4. Managing pressure to show quick wins of data initiatives

Ayushman Saha

Head of Data Value
Financial Times

See Bio

Charlotte Crabtree

Head of Data & AI Literacy
Ofgem

See Bio

Simon Short

Chief Data Officer
IMI Norgren

See Bio

Dane Buchanan

Global Chief Data & Analytics Officer
M&C Saatchi Performance

See Bio