In the M&A news cycle of major market trends, big acquisitions and shock administrations, the biggest changes, can sometimes get lost as they occur just below the surface. Behind the scenes of the global M&A market, major technological advances are permanently changing the way dealmaking can and will be carried out.
Key among these advances are artificial intelligence (AI) and machine learning - technologies that are increasingly being applied to dealmaking and prompting forecasts that they will drive and underpin fundamental changes in M&A.
As M&A processes advance into the 2020s, such technologies appear poised to deliver huge increases in both the speed and efficiency of dealmaking. Furthermore, this steady march forward has only been accelerated by COVID-19, which has prompted rapid tech and digital uptake, while forcing many dealmakers to adjust to operating remotely.
Reflecting this, in the recent Datasite report The New State of M&A: A Global Perspective, which surveyed more than 2,200 dealmakers from a range of industries and regions, 30 per cent of respondents named AI and machine learning as the technologies which would have the most transformative impact on M&A in the next five years.
For those that are perhaps new to the idea of AI and machine learning as a fundamental component of the M&A process, in this insight we’ll detail how they can be applied to dealmaking as well as the core advantages that utilising these technologies can deliver.
Technologies that can be used in M&A
What can AI/ML bring to the M&A process?
Drawbacks and solutions – How can businesses implement AI and machine learning?
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