Generative Artificial Intelligence (AI) refers to AI models that generate new content that can represent a range of media, including text, video, code, audio or synthetic data. The first examples were Large Language Models (LLMs) that consume immense amounts of data, making them capable of understanding and generating natural language and other types of content. Capabilities continue to evolve to encompass a wider array of outputs.

This technology is accelerating how many businesses operate today to support existing clients and target new opportunities. This is especially important in the professional services industry, where efficiently analyzing data to quickly uncover actionable insights has become paramount to creating a competitive edge.

This professional services firm was tasked with finding a way to leverage generative AI to help staff members save time locating and analyzing large amounts of data to support client growth plans. The team decided to build a model leveraging generative AI and load it with useful data to assess a wide range of industries, companies and specific topics.

Leveraging the latest technology has become critical to quickly uncover insights from large datasets to remain relevant and competitive in today’s professional services environment.

Pain Points

The team planned to leverage generative AI within an internal model to help staff members quickly surface valuable insights. To do this, they needed to aggregate, parse and structure data in the model to make it LLM friendly and create appropriate prompts to query the data. In particular, they wanted to gain access to comprehensive company filings and use this to:

• Summarize thousands of documents to put the content in a digestible format.
• Extract information on specific topics to consolidate mentions of a particular industry or issue (e.g., supply chain management and views on climate change).
• Gauge company sentiment on a topic.
• Cluster findings to look at the views of an industry or group of companies on a topic.

The team reached out to S&P Global Market Intelligence ("Market Intelligence") to see what data was available.

The Solution

Specialists from Market Intelligence mentioned that the company had won several awards for AI and LLM capabilities,¹ including emerging top in WatersTechnology 2023 ranking of the best AI technology providers. They then discussed the Global Machine Readable Filings offering that would provide the team with the ability to:

Key Benefits

Members of the organization were looking for filings data and were delighted to see that Market Intelligence had already embraced AI and was offering filings in a machine-readable format, which would enable them to spend more time on higher-value activities. The team subscribed to the dataset and are now able to:

• Eliminate previous manual processes and quickly and efficiently evaluate a wide range of filingsfor companies and issues of interest.
• Create prompts to summarize many documents, evaluate sentiment, do clustering and more to maximize what the data is revealing.
• Rely on a full history of data, with the accuracy and timeliness of a trusted provider.
• Easily access the data via an efficient cloud-based solution. 

[1] A-Team's 2019 Data Management Insight Award for Best Proposition for AI, Machine Learning, Data Science, and the 2020 Data Management Insight Award for Best Proposition for AI and Machine Learning.