Understanding the Potential of Generative AI
According to Thomas Cordonnier, a Business Analyst at Devoteam, adopting generative artificial intelligence (AI) in finance offers numerous opportunities. However, it’s crucial to understand this technology thoroughly before implementing it.
We see a real desire among players to integrate generative AI and empower employees to gain efficiency.
Generative AI has the potential to revolutionise work organisation and significantly enhance productivity. As a result, most financial sector players are actively exploring its potential benefits. “We see a real desire among players to integrate generative AI and empower employees to gain efficiency,” says Cordonnier. However, regulated entities must address challenges related to protecting personal data and confidential business information. This whitepaper on the EU AI Act explains you how to do this. “The challenge lies in leveraging readily available tools like Microsoft’s Copilot while maintaining data control,” he adds.
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[Updated January 2025]
Understanding AI Models
Key Considerations for AI Implementation
Whether using Microsoft’s AI solution, ChatGPT, or Gemini, financial sector players must understand how these models are built, function, and utilise data. “This is essential to convince risk and compliance departments to deploy these tools,” Cordonnier explains.
Use Cases of Generative AI in Finance
Automating Document Production
One of the primary use cases is automating the production of simple, formatted documents like appointment letters and credit facility agreements. “AI can populate fields, ensure clarity and accuracy, and automate the process without interpreting data,” Cordonnier assures. Additionally, AI can expedite document revisions, format standardisation, error correction, and content quality evaluation.
Supporting Meeting Report Production
AI’s ability to interpret information varies depending on the use case. For complex documents like board minutes or legal agreements, AI requires training on existing documents. For instance, to summarise a meeting, AI can identify participants, summarise exchanges, highlight key discussion points, and note decisions. This allows managers to save time and focus on following up on decisions.
Challenges and Opportunities in AI Adoption
Supervising AI and Managing Risks
Cordonnier notes that using AI for less formatted documents presents challenges. “One challenge is effectively supervising AI, which may not always understand user-specified restrictions.” While AI can save time, it’s important to acknowledge and mitigate potential error risks.
Enhancing Information Search
Generative AI also facilitates information retrieval by summarising documents. “For example, it can provide users with specific information from a vast collection of legal documents, granting direct access to essential information,” Cordonnier adds.
AI as a Personal Assistant
Given its writing and document production capabilities, AI can act as a powerful personal assistant. “It can assist with writing emails, searching for information, and prioritising tasks,” says Cordonnier. “An employee preparing a presentation can ask AI to suggest a structure and even create slides, saving valuable time.”
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[Updated January 2025]
Training and Support for Effective AI Adoption
Ensuring Successful AI Integration
In the financial sector, AI should primarily support employee productivity. However, adopting these tools and integrating them into professional practices requires time and effort. “Beyond tool configuration, model selection, and architecture implementation, it’s crucial to support and train users to fully leverage AI’s potential,” Cordonnier concludes.
Through its training centre and AI Academy, Devoteam supports financial sector players in adopting generative AI tools. It trains managers, users, and IT teams to ensure they understand and effectively use these tools.
Written by ITnation.lu – Sébastien Lambotte, Talk2U
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