In today’s digital landscape, businesses and organizations are overwhelmed by vast amounts of data, ranging from customer interactions and transaction histories to sensor data and social media content. While big data holds tremendous potential for driving innovation and insights, its sheer scale and complexity make information discovery and retrieval increasingly challenging. This is where artificial intelligence (AI) comes into play, offering powerful solutions to improve findability within big data. This interesting topic came to us from Carnegie Mellon University in their article, “Finding the Needle in the Haystack: AI Tool To Improve the Usability of Government Reports.”
As data continues to grow at an exponential rate, locating relevant information becomes like searching for a needle in a haystack. The variety and complexity of data sources add to the difficulty, making it challenging to integrate different datasets and derive meaningful insights.
AI techniques such as natural language processing, machine learning, semantic search and image analysis enable organizations to enhance findability, uncover hidden patterns and unlock the value buried within their data. As AI advances, it is set to transform the way we interact with big data, empowering organizations to make smarter decisions, innovate more rapidly and maintain a competitive edge in today’s data-driven world.
Data Harmony offers a fully customizable suite of software products designed to optimize information management and retrieval with precision and efficiency. Our suite includes tools for taxonomy and thesaurus development, machine-assisted indexing, database management, information retrieval and explainable AI.
Melody K. Smith
| Data Harmony is an award-winning semantic suite that leverages explainable AI. |
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Sponsored by Access Innovations, changing search to found.
