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Megatrend: Artificial Intelligence in banking

Artificial intelligence is the megatrend in banking. Generative AI (generative artificial intelligence, GenAI) in particular is accelerating both the transformation of organisations and the global working world - and the changes will be profound.

The AI potential is particularly high for financial institutions with their constantly growing volumes of data. Banks have a wealth of versatile applications at their disposal, such as fraud detection in payment transactions, automated document processing and in-depth compliance checks. AI can also optimise calculations, making pricing more accurate, credit decisions more precise and reducing the risk of default.

You can rely on our experts' many years of industry knowledge in these future topics, combined with sound expertise in mathematical concepts, algorithms and machine learning.

AI in banking

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How banks can utilise future technology while complying with regulatory requirements.

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Our services for your AI transformation

We support banks in their transformation to an AI-first bank. Our range of services is based on three main pillars that cover all the necessary steps of the transformation.

AI Strategy

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Consultancy and conception

AI strategy goes beyond identifying interesting use cases. We advise you on the development and implementation of a comprehensive AI strategy, taking into account bank-specific regulations, so that you can make well-founded decisions on business and pricing models as well as technological platforms.

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AI Factory

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From the idea to implementation

We support you in advancing the development of prototypes and productive AI services in your organisation, always with the aim of imparting expertise and creating sustainable solutions. Alternatively, we offer our plug-and-play AIs, which cover all common AI use cases out of the box.

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AI Academy

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Informed decisions through knowledge

Knowledge is power. With the aim of sharpening your understanding of AI and building up knowledge, we make the technology transparent for you. This enables you to make informed decisions about artificial intelligence applications with confidence.

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Efficiency and security through AI in banking

Artificial intelligence and generative AI (GenAI) in particular are revolutionising the banking industry and already offer financial service providers many opportunities, for example to

  • strengthen customer contact,
  • prevent fraud and money laundering and
  • speed up time-consuming tasks such as appraisal evaluation, software development and regulatory and compliance checks.

Other use cases include the assessment and processing of loan applications, the structuring of large databases and the automation and standardisation of repetitive processes.

To remain future-proof and technologically competitive, banks need to make AI an integral part of their IT strategy. We are already working with leading banks to identify and establish AI use cases. Our focus is on innovation and long-term added value to drive the AI revolution.

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GenAI

How German companies use them

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Current articles on the topic of artificial intelligence on Banking.Vision

Banking.Vision

Until now, internal auditing has looked in the rear-view mirror to determine whether traffic rules have been followed. But in a world where autonomous AI agents make decisions about loans, investments and market entries in milliseconds, the classic audit cycle is no longer appropriate. We are facing a ‘zero moment’: Audit must decide whether it will remain a footnote to digitalisation or become the central navigation system for management.

Banking.Vision

AI in trading optimizes speed. AI in treasury controls stability. Both worlds use similar technologies but pursue completely different goals. Anyone who thinks of treasury in the same way as trading underestimates the complexity of bank management. This is precisely where the actual AI transformation begins.

Banking.Vision

Internal auditing has evolved considerably in recent years – and AI will continue to change it. AI can relieve, deepen and sharpen it. But only if the data quality, methodology and processes are right and there is clear AI governance.

Banking.Vision

AI governance is a comprehensive framework that defines responsibilities for the use of artificial intelligence in a company and ensures the safe, ethical, transparent and legally compliant use of AI. The new BaFin guidance clearly classifies artificial intelligence as an ICT risk under DORA. With the help of the three-pillar model and robust AI governance, banks are able to meet strategic and operational requirements.

Our AI experts

Our specialised AI experts have the answers to your questions.

Heilmann-Jens

Jens Heilmann

Business Unit

heads the Artificial Intelligence division at msg for banking and advises clients on process digitization and artificial intelligence in the financial sector.

Schieborn-Dirk

Prof. Dr. Dirk Schieborn

Head of Artificial Intelligence and Data Analytics Hub

is an AI expert at msg for banking and holds a professorship in data science and mathematics at the ESB Business School at Reutlingen University.

Körwers-Tim

Tim Körwers

Senior Manager

is responsible for the design and development of an AI product portfolio at msg for banking, manages AI and process management projects, and advises customers on AI-supported digitization of their processes.