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.
AI-Powered Energy Trading at OMV Petrom: From Company Strategy to a Working Use Case

Most AI talks start with the technology. The OMV Petrom session at Databricks Bucharest User Group #3 started one level up, with how the company’s AI strategy connects to its general strategy, and then moved to a specific AI use case in energy trading. It was presented by Michael Reisinger, Digital Trading Manager, and Andrei-Cosmin Ciocan, Data Engineering & AI Technical Lead, both at OMV Petrom, and it opened the technical program of the evening.
Databricks Bucharest User Group #3: What to Expect from the September 30 Meetup

Databricks Bucharest User Group #3: What to Expect from the September 30 Meetup
Databricks just rebuilt the data stack for AI agents. Here is what Retail and Banking should do about it.

“AI does not have an intelligence problem. It has a context problem.” That was Ali Ghodsi’s framing at the Databricks Data + AI Summit 2026, and it points at something most of the coverage missed.
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.
AI Readiness Checklist for Retailers in BENELUX 2026

🔵 Stay updated on AI & data for your industry — Follow mindit.io on LinkedIn → Organisations in BENELUX (Netherlands, Belgium, Luxembourg) face mounting pressure to deliver AI initiatives that satisfy both business stakeholders and ACM and AP regulators. This checklist gives CTO and CDO at BENELUX retailers a systematic way to assess data infrastructure, […]
AI Readiness Checklist for UK Retailers 2026

🔵 Stay updated on AI & data for your industry — Follow mindit.io on LinkedIn → Organisations in the United Kingdom face mounting pressure to deliver AI initiatives that satisfy both business stakeholders and ICO regulators. This checklist gives CDO and CTO at UK omnichannel retailers and e-commerce businesses a systematic way to assess data […]
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).