Optimizing AI for Advanced Data Extraction from Reports

Deep Search IBM’s Enterprise Studio

Now you can train, validate, adjust, and deploy AI models at scale with Deep Search IBM’s enterprise studio for AI builders. Deep Search uses AI to collect and convert data in big volumes into something searchable. Presented at this week’s 2024 AAAI conference, Document Question Answering (DocQA) is a new Deep Search function. Users can attach their documents to the system and then converse with a chatbot about them.

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Among the many potential uses for Deep Search’s technology, ESG reports stand out as particularly fruitful. Companies utilize these reports to showcase their efforts in climate sustainability and social responsibility, which has led to their growing importance in recent years. When evaluating a company’s impact, they are crucial for regulators, investors, and other interested parties to have them. It could be laborious and time-consuming to extract meaningful and accurate information from these reports.

DocQA tool in Deep Search

The purpose of the new DocQA tool in Deep Search is to automate this process so that users may ask questions on the substance of ESG reports and get reliable answers. For this purpose, the system uses retrieval-augmented generation. This hybrid approach integrates information retrieval with natural language generation, to firmly anchor the generated answer to the specific paragraph or table. Importantly, this method enables the system to regulate hallucinations and deliver responses grounded in the document’s real substance.

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Accurately extracting data from tables at scale is currently challenging, despite its critical importance in many domains, such as financial reports, annual reports, and ESG reports. By utilizing cutting-edge multimodal AI for PDF document conversion and understanding, Deep Search’s DocQA technology fills this void. Users can gain a more complete knowledge of the document’s content because the system can extract information from tables in addition to text. A vital resource for the ESG community, Deep Search’s library now contains more than 17,000 ESG reports. By perusing this collection, users can learn about a wide range of businesses and sectors, which will allow them to base their judgments on reliable information. The system’s text and table data extraction capabilities make it a must-have for analysts, investors, and researchers who deal with massive datasets.

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The scientific community has acknowledged Deep Search’s contributions to ESG reports. Attendees at this year’s AAAI will have the opportunity to live-test the system and witness firsthand how easy it is to retrieve the desired data.