The Private Equity Podcast, by Raw Selection cover image

The Private Equity Podcast, by Raw Selection

Implementing Artificial Intelligence in Your Private Equity-Backed Company with Beth Pollack

Nov 5, 2024
Beth Pollack, an applied AI and data strategy operating partner with 20 years of experience, shares her insights on implementing AI in private equity-backed companies. She discusses common pitfalls like vague problem definitions and the lack of integration into workflows. Beth emphasizes aligning AI initiatives with business goals and highlights a successful AI application in healthcare that improved EBITDA. She also advises caution when choosing consulting firms and underscores the importance of team alignment and stakeholder engagement for successful AI integration.
19:29

Episode guests

Podcast summary created with Snipd AI

Quick takeaways

  • AI implementation in private equity must begin with clearly defined problems and the right tools to avoid common mistakes.
  • Engaging stakeholders throughout the process fosters trust and ensures AI initiatives align with actual business needs for success.

Deep dives

Common Mistakes in Implementing AI

Many private equity firms and their portfolio companies often err by beginning their AI initiatives solely with generative AI technologies. Instead of jumping straight into advanced solutions, it is crucial to first define specific problems and identify the right tools to address them effectively. Combining various approaches, such as process changes, product modifications, machine learning, and generative AI, tends to lead to more powerful outcomes. Additionally, engaging all stakeholders from the beginning ensures that the solutions developed align with the actual needs and workflows of users, thereby enhancing the chances of successful implementation.

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