Big Data LDN 2026
Join Bigeye at Big Data LDN 2026 in London, UK. Visit our booth for live demos, connect with our team, and discover how enterprises are building trusted AI with reliable, high-quality data. Learn how Bigeye’s AI Trust Platform helps organizations improve data quality, strengthen governance, and confidently scale AI initiatives.
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Explore Enterprise AI Trust in action
Stop by our booth for a hands-on walkthrough of the AI Trust Platform, trusted by the world's largest enterprises.
See how enterprise teams measure, monitor, and govern AI systems at scale. Live, not on a slide.
Bring your questions. We'll share a personalized walkthrough of what AI trust looks like in your environment.
Real stories from financial services, manufacturing, and retail companies who solved data and AI reliability at enterprise scale.
Don't miss our session
Compliance Confidence: How Financial Institutions Can Build Trusted Data Foundations for AI
with Shawbrook Bank
Eleanor Treharne-Jones
CEO, Bigeye
Aaron Honour
Head of Data Engineering & Architecture, Shawbrook Bank
In this session, Aaron Honour, Head of Data Engineering and Architecture at Shawbrook Bank, and Eleanor Treharne-Jones, CEO at Bigeye, will share how financial institutions can build the data trust foundations required to safely adopt AI and advanced analytics. Operating in one of the most regulated industries, Shawbrook is navigating the challenge many banks face: maintaining strict regulatory compliance while modernising data platforms and exploring AI-driven capabilities. The session will highlight how data observability and automated sensitive data scanning help financial institutions identify PII, monitor data quality, and understand lineage across complex pipelines.
Know how to start building a trusted data foundation that supports both regulatory compliance and future AI initiatives.
Learn how automated sensitive data classification and lineage tracking help financial institutions identify, govern, and protect PII across complex data environments.
Understand how data observability and governance signals create the trust required to confidently scale analytics, cloud platforms, and emerging AI use cases.
When Agents Outnumber Humans: Building Trust, Visibility and Control for the AI-First Enterprise
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Shane Wiggins
Vice President AI Strategy & Products, Bigeye
AI is moving from giving recommendations to taking action. Agents now query systems, call tools & APIs, and trigger other agents on their own. Building and deploying them has gotten much easier, and many are heading toward a point where agents outnumber the people managing them. Traditional governance wasn't built for that kind of scale or autonomy.
This session explores what enterprises need to observe, how to monitor agent cost and usage, and how observability transforms trust into something organizations can measure, govern, and manage at scale.
Why knowing your agents exist isn't enough you need to see what they do and what it costs
How to monitor token spend and compute cost per agent, not just at the account level
How Agent Trust Hub identifies issues, proposes resolutions, and helps you remediate problems faster
What makes trust measurable: data quality, policy adherence, execution history, and cost
How observability gives you evidence of agent behavior, not just documentation of intent
How to scale AI agents without losing control of risk or budget
Meet the Bigeye team
Find our team at Booth K100. Come with questions about AI trust, your environment, or where to get started.
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CEO
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Head of Sales, Bigeye
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Enterprise Account Executive
VP, AI Strategy & Products