IDC: Knowledge Discovery Software 2023 Vendor Assessment

Knowledge Discovery Software 2023 Vendor Assessment

IDC MarketScape vendor assessment model is designed to provide an overview of the competitive fitness of ICT (information and communications technology) suppliers in a given market. The research methodology utilizes a rigorous scoring methodology based on both qualitative and quantitative criteria that results in a single graphical illustration of each vendor’s position within a given market. IDC MarketScape provides a clear framework in which the product and service offerings, capabilities and strategies, and current and future market success factors of IT and telecommunications vendors can be meaningfully compared. The framework also provides technology buyers with a 360-degree assessment of the strengths and weaknesses of current and prospective vendors.

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Vendor Assessment. Get a detailed analysis of 12 vendors in the 2023 global knowledge discovery software market: trends, GenAI & LLM innovations and their business implications.

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Key insights for technology purchasing decisions

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Buyer's Guidance: Explore guidance for organizations considering AI-driven knowledge discovery software, including selection, success metrics and addressing the challenges of generative AI.

Measures for Success: Examine key metrics for success in knowledge discovery, with an emphasis on R&D Productivity, Innovation and Functional

About IDC Marketscape

On Knowledge Discovery

For this research, IDC defines general-purpose knowledge discovery as software that can find, locate, and provide answers, information, and knowledge discovery capabilities for a wide variety of internal- and external-facing use cases. As traditional search and information retrieval systems evolve, this software increasingly uses artificial intelligence technologies, including machine learning, deep learning, LLMs, and NLP, to facilitate natural language search and knowledge or product discovery across various structured and unstructured forms of data.

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