How an autonomous AI agent gained access to McKinsey's internal AI platform in two hours – an analysis between confirmed facts, commercial interests and lessons for your own IT security. With source assessment, root cause analysis and concrete recommendations.
From DORA to the EU AI Act to T+1 Settlement: A structured overview of the key regulations 2026–2027 for Financial Services in Germany and Switzerland – with timeline infographic, impact matrix and recommendations.
Generative AI has evolved from simple text and image generation to complex systems like AI agents and enterprise automation. This guide provides a comprehensive overview of RAG, multi-agent systems, prompt engineering and frameworks like LangGraph.
The Financial Data Access Regulation (FiDA) forces German banks to share their most valuable data with competitors. For Capital Markets and Asset Management, this means nothing less than a paradigm shift – with significant risks, but also strategic opportunities for those who act now.
German financial institutions are caught between legacy systems, regulatory pressure and the promise of Agentic AI. Celonis' Process Intelligence Platform creates the transparency needed to move from diagnosis to transformation.
The financial industry's digital defence gets a new rulebook. What the Digital Operational Resilience Act (DORA) means for trading floors, portfolio management and the entire IT value chain – and why no German institution is fully compliant yet.
The EU AI Act classifies numerous AI applications in capital markets and asset management as high-risk systems. From August 2026, strict documentation, transparency and monitoring obligations apply – with far-reaching consequences for business models, IT infrastructure and competitiveness.
The Markets in Crypto-Assets Regulation (MiCA) has been fully applicable since December 2024 and forces the entire German banking sector to redefine its relationship with digital assets. For Capital Markets, Asset Management and the emerging crypto business, this represents a paradigm shift.
Decentralised data architectures promise to resolve the chronic bottleneck of centralised BI teams. But the path to Data Mesh requires far more than new technology – it demands a fundamental organisational shift.
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