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Speaker "Jay Mishra" Details Back

 

Topic

Why Intelligent Document Processing is AI’s Sweet Spot

Abstract

Advances in ML, NLP, GPUs and cloud computing are transforming intelligent document processing (IDP) into one of the most practical, high-impact AI applications. Traditional document processing methods, like rule-based systems and OCR, struggle with complex layouts, poor data quality, and limited scalability. AI-powered IDP brings dynamic, context-aware capabilities, enabling systems to seamlessly classify, interpret, and extract meaningful data from diverse document types. In this session, we'll explore how AI-driven IDP, is reshaping the way unstructured data is transformed into actionable insights. This session will equip data and automation professionals, AI researchers, and industry leaders with actionable strategies to leverage AI for highly efficient, accurate document processing—boosting productivity, reducing manual effort, and driving innovation across their organizations.
Who is this presentation for?
Data and Automation Professionals looking to understand how AI can optimize document processing workflows and drive efficiency. AI Researchers exploring real-world applications of AI in intelligent document processing and its impact on various industries. Industry Leaders interested in adopting AI-driven solutions to streamline operations, reduce manual work, and enhance accuracy in document management. Business Decision-Makers looking to explore AI’s potential in improving productivity and reducing costs across their organizations.
Prerequisite knowledge:
A basic understanding of artificial intelligence (AI) and machine learning (ML) concepts. No advanced technical knowledge is required, but familiarity with automation and data workflows will enhance the experience.
What you'll learn?
You'll get: A clear understanding of the main challenges in document processing and how AI is resolving them Insight into how you can leverage AI to deal with different kinds of data structures. Real-world applications showing how AI accelerates workflows, reduces manual work, and enhances accuracy An exploration of emerging trends like adaptive AI models and Retrieval-Augmented Generation (RAG) for smarter, more effective data extraction.

Profile

Jay Mishra is a Data Solutions leader and the Chief Product & Technology Officer at Astera, a leading provider of code-free, AI-powered data solutions. With over two decades of experience, Jay has built a reputation for excellence in data architecture and software solutions. His expertise spans solution design, development, technical leadership, and AI-driven product innovation, demonstrated through successful collaborations with top companies like Wells Fargo, Raymond James, and Farmers Mutual. In addition to product development, Jay has a proven track record of driving transformative business initiatives, optimizing operations, and delivering substantial financial success. By combining his technical expertise with strategic vision, Jay empowers organizations to unlock the full potential of their data architecture using AI, helping them achieve exceptional business outcomes.