What do you think of when you think of generative AI? Generating photos, animations, and videos? Coding and solving math problems? Writing content and brainstorming with a chatbot? These have all driven plenty of excitement around AI, but there’s so much more to it than that!

From an enterprise perspective, Generative AI’s impact on intelligent document processing technology is remarkable. Its ability to interpret, generate, translate, and summarize text information has redefined how companies process unstructured documents like invoices, purchase orders, reports, and more! Integrating Generative AI with data systems can open new avenues to automate data processing.

How Generative AI Works in Intelligent Document Processing

You can use Generative AI in IDP to extract specific information from unstructured text. The process starts with cleaning up unstructured text using natural language processing techniques. This includes breaking the text into smaller pieces (tokenization), converting spoken language into written form (speech-to-text), and tagging parts of speech (like nouns and verbs). These preparation steps make it easier for generative AI models, especially transformers, to analyze the data effectively.

Transformers are the engines behind large language models like GPT. They use an “attention” mechanism that helps the models focus on the most important parts of the text.

For example, when analyzing purchase orders, the self-attention feature can recognize “Invoice number” and the “value” next to it, while another part allows the model to examine various aspects at once, such as quantity and price. This ability to focus on multiple elements ensures a thorough understanding of the data, making it much better at accurately extracting insights from complex texts like product manuals and legal documents.

Training LLMs and Prompt Engineering for IDP

Generative AI needs to be customized to fit your business logic to be effective.

This means you need a platform to easily train, evaluate, and deploy large language models (LLMs). It’s also crucial to ensure the platform can seamlessly connect with various data formats and sources to enable efficient document ingestion and processing. Effective and precise prompts guide AI to understand the context, interpret the instructions, and interpret the data correctly.

Training LLMs and prompt engineering is a resource-intensive process. It requires significant computation power to train the LLMs and skilled data engineers who understand how to train these models effectively.

Most companies opt for off-the-shelf AI document processing solutions to save time and fast-track the AI implementation.

Specialized Generative AI IDP Solutions

Specialized Generative AI IDP solutions are purpose-built to automate the entire document processing workflow from start to finish. They’re designed by experts and trained on extensive datasets. They are ready to handle a variety of documents. As a result, companies save upfront investment and start taking advantage of AI technologies right away. This also enables enterprises to focus their attention on the strategic side of things, i.e., using data to draw insights for informed and timely decision-making.

Conclusion

It’s clear that AI is the future. Companies that integrate Generative AI into their document processing workflows are setting themselves up for success. It results in faster, more accurate workflows and significant cost savings. If you’re invested in future-proofing your business operations, Generative AI is the way to go.

FAQs Section

What is intelligent document processing?

Intelligent document processing uses pattern recognition to classify and process documents. It’s mainly used to process unstructured documents with varying layouts and schema. When combined with Generative AI, it can interpret large volumes of data, understand its context, and generate relevant information without templates or manual intervention.

Does generative AI use NLP for data extraction?

Yes! Generative AI uses natural language processing (NLP) to clean and organize the text data, making it ready for the AI models. Once the text is cleaned up, transformers take over, processing the data to extract relevant details and identify patterns that can be useful for analysis. This process helps you get clear insights from unstructured documents.

What are the benefits of AI document processing?

AI document processing improves accuracy, efficiency, and processing times. Implementing AI-powered intelligent document processing can result in significant cost savings. AI document processing solutions are highly scalable, enabling you to process thousands of unstructured documents in minutes—without any manual effort.

Start Your AI Journey with Astera

At Astera, we empower enterprises to use generative AI and IDP technology to fulfill their document processing requirements. Our team help companies integrate AI solutions that fit their objectives. Contact our experts today to schedule a free demo.