
All about AI adoption, Risk & Regulation for banks & FI - Practical Playbooks, Frameworks & Guidance on AI Gov, Risk, RegTech, and Operational Resilience. Meant for: Practitioners/Heads of Lending, Risk & Compliance, AI Product Leaders in BFSI, GCC.
| Platform | Pricing | Only free issues | Publishes | Weekly | |
|---|---|---|---|---|---|
| Issues | 46 | Founded | 4 years ago | Last Issue | 5 days ago |
| Active | |||||

Kas is the co-founder of Inselberg, where we help financial institutions build deep-domain enterprise AI capabilities. I’d love to hear from you; feel free to reach out here.
In my experience, financ...
Consider a typical situation in a Regulatory Reporting team at a global bank: A regulator publishes a set of forty validation rules without a changelog. The document is sent to an analyst, who opens the earlier version side by side with t...
In my previous article on Banking Ontology: The Semantic Layer Your AI Strategy Can’t Ignore, we looked at the first part of the context layer. In this article, we look at the next building block of the context layer - Knowledge Graphs.
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A banking ontology is a formal, shared representation of the concepts within a bank’s data ecosystem - customers, accounts, products, transactions, risk ratings - along with the precise relationships between them. It is, in short, the lay...
Connect with me here on LinkedIn.
In my earlier post on Assessing Data Pipelines for AI Readiness, we looked at the ‘Four Pillars of Data Readiness’. In this post, we will look at the First Pillar: Data Freshness and its various aspects....
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The writers behind this newsletter.
Founder | Ex-Products Head | Investor | Working on AI Use Cases for BFS | AI & RegTech Advisor to Start-ups | Driving Responsible AI in Risk, Audit & Compliance | Data Governance | Vibe Code
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