Main Day 2 - Thursday 22nd January

By structuring a strategy into foundational, consolidated, and finished layers, businesses can unlock data product capabilities the organisation has never had before, quickly, and compliantly. This use-case based presentation by Adrian Pinder, Head of Digital and Data at DS Smith, will outline his team’s thought process when integrating Gen AI into their internal procurement data product. Their implementation strategy relied on:

• Strategically determining where to incorporate Gen AI into their data product and assessing the value it would bring.
• Putting in place a strong governance framework from the get-go.
• Making sure their tools and structure were agile enough to manoeuvre through challenges that arose.

Adrian Pinder

Head - Digital and Data
DS Smith

See Bio

With AI solutions multiplying by the minute, enterprises face the challenge of choosing platforms that deliver real value. This session explores how third-party assessments can help tailor AI adoption to your organisation’s unique needs, ensuring cost-efficiency and strategic alignment by:

• Streamlining AI selection to avoid unnecessary complexity.
• Leveraging expert assessments to align tools with business goals.
• Prioritising cost-effective platforms that maximise ROI.

Speaker TBA

AI and Machine Learning have become the go-to buzzwords in boardrooms, but not every data product needs a neural network to deliver value. This panel will explore examples of enterprise leaders separating genuine opportunity from costly overengineering, helping teams identify where AI/ML truly enhances functionality and adds value. Dive deeper into:

• Evaluating the functional and financial impact of AI/ML before implementation.
• Aligning executive enthusiasm with realistic, cost-effective AI strategies.
• Identifying high-impact use cases where AI/ML drives measurable product value.

Stefania Bonà

Director of Machine Learning Products
VISA

See Bio

Amit Nandi

VP Solutions & Data Architect
Barclays Corporate & Investment Bank

See Bio

Anshul Garg

Senior Data Product Owner
A.P. Moller - Maersk

See Bio

In this insightful case study, and industry leader shares how the company is transforming its legacy data estate by prioritising quality and governance while migrating to the cloud. Over the past three years, they have experienced great ROI, by:

• Establishing a data product framework that supports scalable migration and measurable business value.
• Putting in the initial grunt work that ensures data is compliant and quality from the get-go.
• Building cross-functional teams to quantify ROI and align data efforts with strategic goals.

In today’s complex data landscape, knowing what you have is just the beginning. This session explores how assessing your enterprise’s existing assets can uncover market opportunities and build scalable data products. Featuring a real-world client use case, the presentation will highlight how businesses can drive transformation through visualisation, developer enablement, and cross-team collaboration.

• Leveraging external expertise to identify untapped data potential and product opportunities.
• Restructuring internal teams and workflows to break down silos and improve delivery.
• Enhancing developer experience through better tooling and clearer visualisation.

Session TBA

Despite its growing importance, the term “data product” still lacks a universal definition across industries which creates confusion, misalignment, and missed opportunities. This session explores how enterprises can clarify the relationship between data products and business outcomes, and why internal roles like platform architects, product managers, and data engineers are essential to building and sustaining them. Gain a more in-depth understanding of:

• Establishing the definition of ‘data product’, cross-industry.
• Building cross-functional roles to support the full lifecycle of data products.
• Connecting data products to business strategy to maximise impact and relevance.

Daniel Doran

Data and Analytics Business Partner
Primark

See Bio

Camille Peetroons, from VML’s Ford Motors team, shares how synthetic data is reshaping their enterprise approach to data products, flexibility, scalability, and responsible innovation. This session offers a forward-looking view into how one of the world’s largest brands is preparing its data strategy for the future by:

• Leveraging synthetic data to future-proof platforms and products against regulatory shifts.
• Exploring bias mitigation through controlled data generation and testing.
• Scaling data strategies while maintaining ethical and operational flexibility.

Camille Peetroons

Director of Data
VMLY&R

See Bio

As platform engineering evolves, the focus is shifting from simply reducing technical overhead to delivering strategic, measurable value across the organisation. This session will highlight a compelling case study on how adopting a Product Operating Model can reposition internal platforms from a cost centre to a business-enabling product. Learn more about how companies are:

• Defining platform users and roadmaps to guide product evolution.
• Segmenting internal audiences to tailor engagement and adoption.
• Building feedback loops to continuously improve developer experience and value.

Juan Carlos Vázquez

Director - Data Platform
Delivery Hero

See Bio

Adopting a data mesh model isn’t just a technical shift—it’s a cultural one. This session explores how enterprises can tailor mesh principles to their unique platform architecture by aligning business goals, fostering cross-functional collaboration, and building platform teams that ask the right questions. Learn how to balance:

• Integrating business context into platform decisions to ensure mesh models and chosen platforms deliver value.
• Including non-technical voices in platform teams to improve communication and outcomes.
• Asking the right questions to translate cross-team requests into meaningful data solutions.

Amy Bulman

Internal Data Consultant
FMCG Company

See Bio

Creating a data sandbox is a strategic move that empowers global teams to experiment, validate, and innovate without compromising live systems. This session explores what sandboxing looks like in large enterprises, from assembling the right team to measuring ROI and scaling across geographies. Dive deeper into:

• Establishing sandbox environments that encourage safe experimentation and cross-team collaboration.
• Assembling the right mix of roles and skills to support sandbox operations globally.
• Creating and measuring ROI and scaling sandbox initiatives to maximise impact across the business.