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A common use case with generativeAI that we usually see customers evaluate for a production use case is a generativeAI-powered assistant. If there are security risks that cant be clearly identified, then they cant be addressed, and that can halt the production deployment of the generativeAI application.
Gartner predicts that by 2027, 40% of generativeAI solutions will be multimodal (text, image, audio and video) by 2027, up from 1% in 2023. The McKinsey 2023 State of AI Report identifies data management as a major obstacle to AI adoption and scaling. billion in 2025 to USD 66.68 billion by 2032 with a CAGR of 30.1 %.
This is where intelligent document processing (IDP), coupled with the power of generativeAI , emerges as a game-changing solution. Enhancing the capabilities of IDP is the integration of generativeAI, which harnesses large language models (LLMs) and generative techniques to understand and generate human-like text.
Document processing has witnessed significant advancements with the advent of Intelligent Document Processing (IDP). With IDP, businesses can transform unstructured data from various document types into structured, actionable insights, dramatically enhancing efficiency and reducing manual efforts.
With Intelligent Document Processing (IDP) leveraging artificial intelligence (AI), the task of extracting data from large amounts of documents with differing types and structures becomes efficient and accurate. The following diagram is how we visualize these IDP phases.
The landscape of enterprise application development is undergoing a seismic shift with the advent of generativeAI. This innovative platform empowers employees, regardless of their coding skills, to create generativeAI processes and applications through a low-code visual designer.
By providing access to these advanced models through a single API and supporting the development of generativeAI applications with an emphasis on security, privacy, and responsible AI, Amazon Bedrock enables you to use AI to explore new avenues for innovation and improve overall offerings.
Additionally, developers must invest considerable time optimizing price performance through fine-tuning and extensive promptengineering. Amazon Bedrock Data Automation overview You can use Amazon Bedrock Data Automation to generate standard outputs and custom outputs.
Amazon Q Business is a generativeAI-powered assistant that can answer questions, provide summaries, generate content, and securely complete tasks based on data and information in your enterprise systems. As part of LSEGs multi-stage AI strategy, LCH has been exploring the role that generativeAI services can have in this space.
However, the rise of intelligent document processing (IDP), which uses the power of artificial intelligence and machine learning (AI/ML) to automate the extraction, classification, and analysis of data from various document types is transforming the game. Results of the extraction and analysis are stored in Amazon S3.
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