Main Day 1 - Wednesday 21st January

With the largest enterprise data mesh and MML Ops system in the industry, Sanchit Juneja offers rare insight into scaling data as a product across complex organisations. The session will cover practical lessons regarding everything from their internal ML models to their semantic frameworks, highlighting topics such as:

• Scaling machine learning operations to support enterprise-wide data products.
• Navigating semantic complexity to improve data discoverability and usability.
• Connecting internal models and public data assets to drive strategic value.

Sanchit Juneja

Director-Product (Big Data & ML/AI)
Booking.com

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Legacy data often hides untapped opportunities, but unlocking it requires more than just migration. This session explores how enterprises can assess, structure, and elevate historical data into modern platforms, despite operational and cost hurdles. Learn how to make the most of legacy data by:

• Knowing where to start, as well as what platforms and tools you may need to migrate large amounts of legacy data.
• Assessing data quality, value, and relevance to prioritise migration efforts effectively.
• Overcoming operational and financial barriers to modernise data environments at scale.

Speaker TBA

This presentation will focus on how to manage the inevitable changes in enterprise data, from growth in volume to shifts in structure and use. Attendees will gain insight from a range of perspectives regarding maintaining data consistency and reliability in the face of continuous change, including:

• Managing data changes effectively while scaling.
• Strategies for integrating new technologies and adapting to evolving business requirements.
• Building systems that support data agility while minimizing disruptions.

As data becomes central to every business function, empowering departments beyond the data team to understand, manage and leverage their own data is no longer optional, it's strategic. This session explores how cross-departmental data literacy reduces strain on central teams, improves governance, and unlocks new opportunities for data product development by:

• Enabling departments to identify, interpret and act on their own data assets.
• Establishing scalable training and tooling to foster data ownership across teams.
• Clarifying what data can be shared, and how, according to current and evolving data governance policies.

Saielle DaSilva

Head of Product Strategy
Sainsbury's

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During this session, led by a key solution provider in the space, attendees will explore how their enterprises can empower domain teams to run cross-functional analysis independently, by:

• Developing strategies that allow for more autonomy, while maintaining data integrity.
• Leveraging open-source ecosystems to drive scalability and innovation.
• Optimising platform selection to balance functionality with cost efficiency.

Speaker TBA

As data demands grow, decentralising platforms offers a powerful path to agility, scalability, and innovation. This session explores the benefits and challenges of decentralised architectures, with a spotlight on a real-world case study showcasing the shift to a self-serve, cloud-agnostic model. Learn how leading enterprises are:

• Implementing decentralised data platforms to empower teams and reduce bottlenecks.
• Leveraging self-serve models to accelerate access and improve operational efficiency.
• Integrating cloud-agnostic solutions to future-proof enterprise data strategies.

Juan Carlos Vázquez

Director - Data Platform
Delivery Hero

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During this session led by Pablo Kotey, Head of Data Enablement at Schroders, he’ll share how his team develops data products around an offensive data strategy which delivers measurable business value. By focusing on demand, speed, and governance, they’ve created a framework that eliminates wasted space and fills critical data product gaps. Through a detailed use case, Pablo will detail how his team is:

• Building data products that respond directly to business demand.

• Monitoring product fitness to ensure continued relevance and optimisation.

• Scaling development by continuously improving their data mesh, tooling, and governance structures.

Pablo Kotey

Head of Data Enablement
Schroders

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In today’s data-driven enterprise, acquiring trustworthy, high-quality data in real time is no longer a luxury—it’s a necessity. This session explores the importance of selecting the right tools and partners to support an organisation’s data needs, such as:

• Enabling real-time, quality, and trustworthy data acquisition.
• Integrating business, strategy and engineering perspectives simultaneously to manage data holistically.
• Partnering with third-party providers that support both strategic and technical needs.

Speaker TBA

In this fireside chat, Mark O’Brien, Director of Product at Shutterstock, will explore how enterprises can unlock new value from their data by reimagining it as a product. The discussion will cover industry-wide challenges and opportunities, including:

• Assessing where data has the strongest commercial potential.
• Building standards and enrichment approaches that scale across use cases.
• Creating frameworks that better connect data with customer workflows and demand.

Mark O'Brien

Director of Product
Shutterstock

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As data becomes one of the most valuable assets in the enterprise, and more of it becomes available, monetisation offers a compelling opportunity to drive revenue and data product innovation. This panel explores the strategic, operational, and regulatory considerations required to turn raw data into market-ready products. Learn how to fully leverage your data-assets and build a sustainable monetisation framework by:

• Establishing the right mix of people, processes, and platforms to support monetisation.
• Considering ever-evolving privacy, quality, and consistency challenges from the start.
• Creating innovative data products that meet market needs.

In an era of constant data movement and rising risk, enterprises must rethink how they protect and preserve their data assets. This session explores the importance of scalable, tailored backup solutions that go beyond reactive recovery to enable proactive resilience by:

• Implementing scalable backup systems that evolve with enterprise data growth.
• Pinpointing protection strategies to match business-critical priorities.
• Anticipating risks before they escalate through proactive data planning.

Forecasting the success of data products requires more than intuition, it demands transparency, agility, and real-time insight. This session showcases a live enterprise project that harnesses predictive analytics leveraging data-based and opinion-based insights. Learn how today’s analytics can bring to the forefront what your clients truly want, before they even ask by:

• Replacing outdated forecasting models with dynamic, real-time analytics.
• Establishing client transparency to eliminate assumption-based decision-making.
• Reframing predictive analytics as a client-centric strategy rather than a technical exercise.

Claudia Villasis-Wallraff

Head of Data Driven Treasury
Deutsche Bank

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Data governance is often framed as a regulatory necessity, which it is, but its true value lies in enabling smarter, more cost-effective decisions. Through practical takeaways, this panel brings together seasoned leaders to share how reframing governance as a business enabler can unlock executive support by:

• Shifting the narrative from regulation to strategic enablement.
• Demonstrating how strong data and governance frameworks directly impact AI implementation, quality, cost, and data products.
• Aligning governance with business value and growth so it’s not an afterthought.

Sarah Phenix

Head of Data Governance
Munich Re Specialty

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John Burton

Head of Data, Analytics and Insight
Stagecoach

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Nivedh R Iyer

Head of Group Data Management, Group Data & Analytics
Danske Bank

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