Oracle to Databricks migration for banks
The data team had heard this pitch before. Earlier attempts to move the bank’s warehouse off Oracle had failed. When we arrived, the business side expected the next one to fail too.
The bank is a major CEE bank. Its warehouse ran on Oracle, its data lake on Cloudera, and both had grown for about 20 years. The hardware was due for a refresh with a large capital bill. The AI roadmap needed data the warehouse could not feed.
AI governance for banks in Switzerland and Germany: what FINMA and BaFin expect
That makes AI governance less exotic than vendors suggest. It also removes the excuse. A bank that runs model risk, outsourcing and ICT risk well already owns most of the controls. What it usually lacks is evidence: proof, per AI system, that the controls ran.
Migrating the Biggest EDW in CEE to Databricks: The BCR Story
A bank’s enterprise data warehouse is not a system you swap out over a quiet weekend. Reporting, risk, regulatory work and day-to-day decisions all sit on top of it, and years of logic have accumulated inside it. At Databricks Bucharest User Group #3, Mircea Idriceanu, Head of Data for Group; Data Analytics & AI Division at BCR, and our CTO Alexandru Puiu presented how BCR moved what they describe as the biggest enterprise data warehouse in Central and Eastern Europe onto Databricks.
AI Readiness Checklist for Insurers in BENELUX 2026
Organisations in BENELUX (Netherlands, Belgium, Luxembourg) face mounting pressure to deliver AI initiatives that satisfy both business stakeholders and DNB and FSMA regulators. This checklist gives CAIO and CDO at BENELUX insurers and reinsurers a systematic way to assess data infrastructure, governance, and organisational readiness before committing budget to an AI transformation programme. Each item is grounded in the specific DNB, FSMA, Solvency II, IFRS 17, and GDPR requirements applicable in BENELUX (Netherlands, Belgium, Luxembourg).
AI Readiness Checklist for UK Insurers 2026
Organisations in the United Kingdom face mounting pressure to deliver AI initiatives that satisfy both business stakeholders and FCA and PRA regulators. This checklist gives CAIO and CTO at UK insurers — Lloyd’s, P&C, and Life — a systematic way to assess data infrastructure, governance, and organisational readiness before committing budget to an AI transformation programme. Each item is grounded in the specific FCA, PRA, Solvency UK, GDPR UK, and Consumer Duty requirements applicable in the United Kingdom.
Insurance Data Platform IFRS 17 Readiness — BENELUX
Organisations in BENELUX (Netherlands, Belgium, Luxembourg) face mounting pressure to deliver AI initiatives that satisfy both business stakeholders and DNB and FSMA regulators. This checklist gives CAIO and CDO at BENELUX insurers and reinsurers a systematic way to assess data infrastructure, governance, and organisational readiness before committing budget to an AI transformation programme. Each item is grounded in the specific DNB, FSMA, Solvency II, IFRS 17, and GDPR requirements applicable in BENELUX (Netherlands, Belgium, Luxembourg).
Data Platform Modernization for Banks in BENELUX 2026
This guide addresses the most common challenge facing CDO, CAIO, and CTO at BENELUX banks in 2026: how to build genuine AI capability while satisfying DNB and NBB regulatory requirements. The recommendations are grounded in the specific regulatory context of BENELUX (Netherlands, Belgium, Luxembourg) and the practical realities of organisations managing legacy infrastructure alongside ambitious AI transformation programmes.
AI Transformation for Insurers in BENELUX: Solvency II & IFRS 17
This guide addresses the most common challenge facing CAIO and CDO at BENELUX insurers and reinsurers in 2026: how to build genuine AI capability while satisfying DNB and FSMA regulatory requirements. The recommendations are grounded in the specific regulatory context of BENELUX (Netherlands, Belgium, Luxembourg) and the practical realities of organisations managing legacy infrastructure alongside ambitious AI transformation programmes.
AI Readiness Checklist for Banks in BENELUX 2026
Organisations in BENELUX (Netherlands, Belgium, Luxembourg) face mounting pressure to deliver AI initiatives that satisfy both business stakeholders and DNB and NBB regulators. This checklist gives CDO, CAIO, and CTO at BENELUX banks a systematic way to assess data infrastructure, governance, and organisational readiness before committing budget to an AI transformation programme. Each item is grounded in the specific DNB, NBB, ECB SSM, GDPR, and AVG requirements applicable in BENELUX (Netherlands, Belgium, Luxembourg).
Banking AI Transformation Checklist — BENELUX 2026
Organisations in BENELUX (Netherlands, Belgium, Luxembourg) face mounting pressure to deliver AI initiatives that satisfy both business stakeholders and DNB and NBB regulators. This checklist gives CDO, CAIO, and CTO at BENELUX banks a systematic way to assess data infrastructure, governance, and organisational readiness before committing budget to an AI transformation programme. Each item is grounded in the specific DNB, NBB, ECB SSM, GDPR, and AVG requirements applicable in BENELUX (Netherlands, Belgium, Luxembourg).