In the digital age, businesses and organizations are inundated with vast amounts of data, ranging from customer records and transaction logs to sensor readings and social media feeds. While big data holds immense potential for driving insights and innovation, its sheer volume and complexity can pose significant challenges for information discovery and retrieval. Enter artificial intelligence (AI), a powerful toolset that offers solutions for enhancing findability in 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 volumes continue to grow exponentially, finding relevant information becomes akin to searching for a needle in a haystack. Additionally, the diversity and heterogeneity of data sources further compound the challenge, making it difficult to unify disparate datasets and extract meaningful insights.
By leveraging AI techniques such as natural language processing, machine learning, semantic search and image analysis, organizations can enhance findability, uncover hidden patterns and unlock the value hidden within their data. As AI continues to evolve, it promises to revolutionize how we interact with and derive value from big data, enabling organizations to make smarter decisions, innovate faster and stay ahead of the curve in today’s data-driven world.
Data Harmony is a fully customizable suite of software products designed to maximize precise and efficient information management and retrieval. Our suite includes tools for taxonomy and thesaurus construction, machine aided 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.
