With the explosion of AI applications, private equity houses and their portfolio companies must understand where key opportunities lie.
By Tom Evans, Kem Ihenacho, David Walker, Laura Holden, Hector Sants, Claudia Sousa, Catherine Campbell, and Patricia Kelly
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Artificial intelligence (AI) developments provide increasing opportunities for private equity, including deal sourcing and portfolio company analysis/enhancement, particularly in businesses that can adopt a customer subscription model or leverage big data opportunities. However, the adoption of AI technologies, and investments in new AI businesses, pose significant challenges. To ensure that time and capital are deployed productively, firms must understand the market space and usage for these tools, and the workings and accuracy of any underlying technology. How technology models and algorithms work, where underlying IP resides, and where data is stored are key. Whilst the use of AI is often discussed, it is much less often understood; we are seeing an explosion of AI applications and PE houses and their portfolio companies need to understand where the opportunities are for them to exploit.
A Tool to Secure Deal Opportunities and Drive Portfolio Company Growth
According to a survey conducted by Intertrust, 90% of private equity firms expect AI to have a transformative impact on the industry. AI-backed data analytics are playing a growing role in analysing and identifying deals. QuantCube Technology, for example, provides in-depth data analysis, drawing on customer reviews and social media posts to develop predictive indicators of events, such as economic growth or price changes. There are now companies offering AI-driven technologies that claim to help source PE deals. While this presents a potentially compelling use of AI for investors, it remains to be seen whether these technologies will deliver results. Continue Reading