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10/06/2024

Using artificial intelligence and machine learning to support the M&A market

IA et fusions-acquisitions

Artificial intelligence (AI) and machine learning (ML) are changing the dynamics of mergers and acquisitions (M&A). By integrating these technologies, companies can optimise their decision-making processes and improve the accuracy of their analyses. Here’s a closer look from the experts at AURIS Finance, an M&A consultancy.

AI and ML have become essential tools for financial professionals. Thanks to sophisticated algorithms, they can analyse huge amounts of data in record time. These technologies offer a better understanding of markets, making it easier to make strategic decisions in M&A transactions.

Predictive analytics and due diligence

One of the main applications of AI in M&A is predictive analysis. By examining historical data and market trends, AI can predict the future performance of target companies. This can help investors identify growth opportunities and reduce the risks associated with acquisitions.

AI and ML are key to the due diligence process. By automating the analysis of financial documents, contracts and compliance reports, these technologies save time and minimise human error. This frees up professionals to focus on more strategic aspects of the transaction, improving the quality of the valuation of target companies.

Optimising post-merger synergies

AI also helps to optimise the synergies of post-merger cooperation. By analysing the operational data of the merged companies, it identifies redundancies and areas of potential efficiency. As a result, it is possible to better integrate the two entities and take advantage of economies of scale. AI can help harmonise internal processes by suggesting, for example, the consolidation of departments or logistics optimisation.

Fraud detection and cyber security

Data security is a major concern in M&A transactions. AI excels at detecting fraud and protecting against cyber-attacks. By monitoring suspicious activity in real time and analysing unusual behaviour, it prevents security breaches and protects the sensitive information of the companies involved in the transaction.

Future prospects

Artificial intelligence and machine learning are increasingly being used in mergers and acquisitions. Technological improvements are creating new opportunities for the sector. In the future, AI could be used to totally automate certain aspects of the M&A process, such as finding targets and negotiating transaction terms. This will allow businesses to conduct transactions faster and more accurately.

Our experts at your side

Our AURIS Finance professionals are at the forefront of these technologies and will assist you throughout your merger and acquisition processes. With their extensive knowledge, they can provide you with strategic guidance based on cutting-edge analysis. From due diligence to post-merger optimisation, our experts are on hand to ensure the success of your transactions.

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#Technology, Media & Telecommunications