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Due Diligence in the AI era: Creating Value through Workforce Insights

In today's technology-driven world, artificial intelligence (AI) has become an essential tool in the investment ecosystem. It has revolutionized the due diligence process, making it more efficient and accurate.AI has revolutionized how companies manage investments and conduct due diligence, making the process more efficient and accurate.

Recently, Aura’s own Evan Sohn sat down with Christopher Perry, Chief Data Officer for Private Equity, and Richard Lichtenstein, a Partner with Bain and Co., to discuss the impact of the AI era on the due diligence process. Together, they delved into how AI is transforming due diligence and revolutionizing the investment landscape. Let’s explore some of the topics they covered and how they serve to better our understanding of how people analytics is reshaping due diligence.

Evolution of Talent Analytics

Traditionally, companies have paid little attention to employee data during due diligence. However, the advent of advanced technology has brought about a dramatic shift in focus. Investors and sponsors now leverage talent analytics to analyze employee turnover and performance, providing invaluable insights into company performance. This data-oriented approach enables more informed investment decisions and empowers businesses to make strategic investments in today's fiercely competitive market.

Using AI in talent analytics has transformed how companies approach the due diligence process. The integration of AI in talent analytics has transformed the way companies approach due diligence. With continuous advancements in AI technology, we anticipate more innovative talent analytics tools that empower businesses to harness the workforce's full potential, making more strategic investments and driving profitability in a highly competitive market.

Why Sponsors Are Now Interested in Talent Analytics

Talent management is critical to any organization's growth and success. In today's highly competitive business environment, retaining top talent and hiring new employees who can add value to the organization has become more important than ever. As a result, many companies are now investing in talent analytics to help them make data-driven decisions about their HR policies, talent acquisitions, and other workforce-related matters.

With the right talent, businesses can achieve scale, market fit, and profitability. Investing in talent analytics to gain insights into their workforce helps them make informed business decisions along with insights on the talent market.

Best Practices for AI

Understanding AI is crucial in today's business landscape as it's dominating discussions across many sectors. Current generative AI is more about augmentation than automation. The technology isn't mature enough yet to completely replace human jobs. However, businesses are exploring ways to boost productivity among existing employees.

Talent analytics plays a key role here, revealing which jobs can benefit most from AI. Roles such as data scientists, engineers, and developers can become far more efficient with AI augmentation. These insights are vital for pinpointing where to enhance profitability. But remember, we're still in the early stages of the AI conversation. The tech has evolved significantly over the past year, but there's so much more to learn and discover.

 Roles Best Suited for Augmentation Data Scientists Engineers Developers Data Entry Customer Support

As AI continues to improve, companies can rely on it to support and enhance the productivity of their workforce. However, businesses need to invest in skilled resources, integrate AI into their existing processes, and future-proof their technology to experience the full benefits of AI. 

The Future of AI and Talent Analytics

While AI has made significant advancements, we are still in the early stages of the AI conversation. The technology will continue to evolve rapidly. With more comprehensive data sets,  exciting prospects for AI and talent analytics exist in the future.

Another valuable data set will be ESG, specifically the 'S' (social) component. This data will reveal whether companies practice equity in pay, promotions, etc. For investors, this data will illuminate how to create a better workforce.

Looking to the future, it's clear that AI and talent analytics will reshape the investment ecosystem. By leveraging AI and talent analytics, businesses can make data-driven decisions, enhance profitability, and retain top talent. The right talent is crucial for business success, and AI will help manage that talent pool proactively.

Expect to see AI making the workforce even more efficient, especially in roles like data scientists, engineers, and developers. This is just the start of the AI revolution, and the prospects are exciting.

The future promises more comprehensive and revealing data sets. Workforce data, historical trends, and ESG metrics, particularly social factors, will gain importance. This data will illuminate a company's practices and impact, aiding in making better, more informed decisions.

While AI has yet to reach its full potential, continuous advancements in technology will pave the way for more comprehensive insights and opportunities for the investment world.

To get the full insights from these experts, check out the full webinar "Due Diligence in the AI era: Creating Value through Workforce Insights” on-demand here!

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