In the realm of Intelligent Automation (IA), enterprises are increasingly turning to Intelligent Document Processing (IDP) to automate document processing and realize various business benefits. Generative AI, with its advanced Natural Language Understanding (NLU) and content generation capabilities, is poised to disrupt the IDP landscape, bringing transformative enhancements to product capabilities.
While language models such as BERT have traditionally been part of IDP solutions, the integration of advanced Large Language Models (LLMs) such as GPT-3.5 (and above) is expected to revolutionize how enterprises handle and process documents. This integration offers effective tools to transform their operations, drive innovation, and unlock new opportunities.
In this viewpoint, we help enterprises and providers understand how advanced IDP solutions integrated with generative AI can help achieve key business objectives. The report provides insights into potential industry-specific and horizontal use cases and discusses key considerations such as cost and privacy concerns. We also explore some of the best practices to maximize RoI from generative AI and IDP integration.
Scope
All industries and geographies
Contents
In this report, we examine:
Generative AI’s evolution in IDP and its applications
Generative AI’s role in enhancing IDP solutions
Potential use cases and benefits of generative AI and IDP integration
Key considerations and best practices for businesses
Generative AI, a new form of AI, is revolutionizing data generation with its ability to create realistic content, mirroring human creativity. Beyond its foundational role, generative AI significantly drives creative workflows, enhances content creati…
