top of page
Insights
Short. Precise. Effective.
The Dark Data You Can't See. Part 1: How Can You Manage a Data Risk You Can't See?
Approximately 80% of enterprise data — emails, contracts, documents, AI knowledge bases — is invisible to most data management functions. For financial institutions, that is not a technical footnote. It is one of the most significant and least acknowledged risk exposures in modern financial services.
May 68 min read
The Dark Data You Can't See. Part 2: How Visibility Turns Data Risk Into Data Value
Most organisations' data management tools were built for structured data and cannot simply be extended to cover the 80% of the enterprise estate that is unstructured. This article sets out the strategic framework for closing that gap — and the evidence on why acting now delivers a measurable return.
May 68 min read
From Sandbox to Scale: Five Essential Lessons for Building Responsible AI in Financial Services
Key insights from AWS Gen AI Loft London on implementing AI responsibly in financial services, covering everything from foundation models to production scaling strategies.
Nov 3, 20256 min read
The Future of AI is Here—But Who's Actually Flying the Plane?
As AI systems move from experimental projects to business-critical applications, organisations need comprehensive AI observability and governance frameworks that actually work in practice. Join BearingNode at Big Data London 2025.
Sep 18, 20258 min read
FinTechs and the City 2025: AI Governance, Risk Management, and Vulnerable Customer Protection
Insights from the Enterprise Tech Monthly event exploring AI governance frameworks, vulnerable customer protection technology, and the future of financial services innovation at the London Stock Exchange.
Sep 7, 20253 min read
bottom of page