Giving New Life to Unstructured Data with LLMs and Agents

AI and Automation in Unstructured Data Processing - AI is expected to significantly drive automation, potentially replacing Robotic Process Automation (RPA) [2][56] - The industry is moving towards decentralized, federated AI execution for automation [2][55][56] - Enterprises are exploring AI-driven automation for end-to-end workflows, potentially replacing RPA [62] Challenges and Solutions for Unstructured Data - Unstructured data is defined as anything that cannot be put into a nice database table for SQL queries, such as PDF documents or images [3][4] - Traditional techniques for processing unstructured data, like templates and rule-based systems, are brittle and unreliable [7][8] - A key challenge is ensuring reliability, completeness, and accuracy when using Large Language Models (LLMs) for unstructured data processing, especially in critical decision-making processes [18][19][24][25] - The industry emphasizes the need for complex, explainable, and auditable workflows to guarantee accuracy when using LLMs with unstructured data [24] Enterprise Adoption and Requirements - Enterprises prioritize data safety, security, auditability, and predictability when adopting AI solutions [42][43] - Predictability of errors is more important than achieving 100% accuracy; enterprises need to know which cases require human review [28][30][31] - Enterprises are adapting their acceptance criteria for AI, focusing on improvements over human performance rather than absolute perfection [27] The Role of AI Agents - AI agents can assist during the build or compile time by generating initial drafts of workflows, but runtime execution should remain deterministic and auditable [48][49][50][65][66] - The industry views autonomous agents as a compile-time phenomenon, where they aid in creating artifacts for deterministic runtime execution [49] Transforming Customer Experience - AI is enabling new, conversational customer interactions, such as lending over WhatsApp [36] - AI can transform processes like insurance claims and account openings, making them more interactive and user-friendly [37][38][39]