As AI and ML use cases grow it’s clear that data is key. For businesses, a valuable source of this data is often overlooked: proprietary company PDFs. These files, used daily in business operations, are packed with information that can drive AI advancements.
PDFs are widely used in business, from contracts to invoices. The challenge is extracting data from these files. Traditional methods, like manual entry, are slow and can be error-prone. Modern developer tools, however, can quickly and accurately pull data from PDFs, turning it into useful insights.
What can businesses do with this extracted data? Here are some possibilities:
- Predictive Analytics: By looking at past data, AI can help businesses predict future trends. For example, analyzing old invoices can help forecast future expenses.
- Automation: AI can use data from an invoice to match it with a purchase order and start the payment process, making things more efficient.
- Risk Management: Contracts contain important details about a company's commitments. AI can scan these to highlight potential risks.
- Understanding Customers: Sales orders and feedback forms can give insights into what customers want. AI can analyze this data to improve customer service.
As Effect Software Design points out, companies are seeing the benefit of combining proprietary data with the advances of large LLMs such as OpenAI’s GPT-4. By harnessing this proprietary data, businesses can create more tailored and effective AI solutions, driving innovation and competitive advantage.
Proprietary company data, especially from PDFs, is a goldmine for AI use cases. With the right tools, businesses can use this data to grow and improve operations. Extractor API’s PDF extractor is a lightweight tool purpose built to pull valuable data from your PDFs and push it into your database or for consumption with LLMs. Try your first 1000 requests free today.