Whitepaper: empowering deal teams to make better decisions with data and generative AI

June 14, 2024

•

5

min read

Share this post

Whitepaper: empowering deal teams to make better decisions with data and generative AI

In today’s market, the ability to quickly and confidently qualify an opportunity and build internal consensus and momentum for an asset is a key competitive advantage. The recent step-change in generative AI, when harnessed judiciously with full awareness of its limitations, and in tandem with data, can help firms realise a material edge.

Our latest whitepaper describes a method for generating an initial outside-in investment paper on a private company with dramatically reduced manual toil. Such a workflow enables investors to confidently take key decisions earlier in the deal process, maximizing precious time and attention on the right opportunities.

Augmentation of the deal process with alternative data and generative AI empowers stretched deal teams to improve the pace and quality of decision making.
Confident quality decisions made earlier in the deal process reduce the opportunity cost of pursuing an asset.
Automating production of an initial investment paper is critical path to optimizing the overall deal process and a great place for a firm to start their AI journey.
Pairing the investment paper with a conversational AI assistant enables more intuitive scrutiny of an asset by decision makers which can help to build important momentum.
Using AI to reduce repetitive toil on manual tasks creates capacity for more uniquely human value- add insight and reasoning.
To realise the benefits of AI augmentation, key challenges with the current generation of AI models must be overcome, requiring specialist know-how.
High quality, complete and correct data is a pre-requisite; AI can help with knowledge extraction from documents.
Firms should publish internal guidance on how to safely collaborate with generative AI, reinforcing the responsibility of the human user to act as editor-in-chief for all outputs.

Download the full whitepaper to learn more about leveraging data and generative AI for better decision-making.

Share this post

You may also like

Future Trends and Predictions: AI in the Investment Landscape

Artificial Intelligence (AI) is revolutionizing the investment landscape, particularly in private equity and corporate M&A, by optimizing processes, enhancing decision-making, and improving risk assessment. Key trends include AI-driven due diligence, predictive analytics for market trends, operational efficiency, and cost reduction, as well as the use of Generative AI (GenAI) for deal sourcing and execution. AI will also play a crucial role in real-time portfolio management, personalized investment strategies, and ensuring ethical and regulatory compliance. Firms leveraging AI tools like Prism will gain a competitive edge, driving better outcomes for their investments and stakeholders.

The Pursuit of Artificial General Intelligence (AGI): The Holy Grail of AI

In the rapidly advancing field of Artificial Intelligence (AI), the quest for Artificial General Intelligence (AGI) is often considered the ultimate goal. AGI represents a level of machine intelligence that can understand, learn, and apply knowledge across a wide range of tasks at a level comparable to human intelligence. This blog delves into the concept of AGI, the stages of AI development, the challenges faced in achieving AGI, and the opportunities it presents for private equity firms to improve the dealmaking process and enhance decision-making.

Navigating the Limitations of AI in Investment Decision-Making

Artificial Intelligence (AI) has influenced numerous industries, including finance and investment. However, despite its numerous benefits, AI also presents significant limitations that require careful handling. At Palladium Digital, we have developed tools to mitigate these challenges, ensuring that AI can be effectively leveraged in investment decision-making.

Whitepaper: empowering deal teams to make better decisions with data and generative AI

In today’s market, the ability to quickly and confidently qualify an opportunity and build internal consensus and momentum for an asset is a key competitive advantage. The recent step-change in generative AI, when harnessed judiciously with full awareness of its limitations, and in tandem with data, can help firms realise a material edge.

How Prism by Palladium Keeps Your Data Safe and Browsing Private

In today's digital landscape, data security and privacy are critical concerns for businesses and individuals alike. With the rise of cyber threats and data breaches, ensuring the safety of personal and professional information has never been more critical. This is especially important for investors and dealmakers who handle sensitive information that could significantly impact financial markets and business operations. Prism is designed to address these concerns by implementing robust data protection measures and ensuring browser privacy. In this blog, we will explore how Prism achieves these goals and compare it to generalist AI tools like ChatGPT for business use.

Agentic AI: The Next Frontier in Private Equity Innovation

Agentic AI, which refers to artificial intelligence capable of operating independently and achieving complex goals, represents the next significant advancement in data and computing. Early iterations, such as AutoGPT, showed promise but often encountered issues, producing nonsensical results. However, with substantial advancements in 2024 and the rapid scaling of AI technology, the realization of agentic AI may be sooner than anticipated. Private equity deal processes and research tasks stand to benefit significantly from agentic AI. In a competitive market, the ability to make data-driven decisions earlier in the process can provide firms with a crucial advantage.

Data: The Key to Effective AI-Augmented Investment Decisions

In the rapidly evolving world of investment, the integration of artificial intelligence (AI) has become a game-changer. However, the efficacy of AI in investment decision-making is heavily dependent on the quality of the data it processes. High-quality data is essential for improving the performance of AI-augmented processes. This blog post delves into the importance of data in AI-driven investment decision-making and outlines steps for extracting, cleaning, and organising data.

Collaborate, Don’t Delegate: Best Practices for Using AI in Deal Processes

Artificial Intelligence (AI) is impacting various industries, and private equity is no exception. Historically, dealmaking has been a human-centric endeavor, but the integration of AI can significantly enhance efficiency and accuracy in the deal process. According to IBM, "Augmented human intelligence means that the use of AI enhances human intelligence, rather than operating independently of, or replacing it." This perspective is crucial as it underscores the role of AI as a complement to human expertise rather than a replacement.

Insights driven by Prism

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Suspendisse varius enim in eros elementum tristique.

Thank you! Your submission has been received!

Oops! Something went wrong while submitting the form.