In the digital age, businesses and organizations are flooded with vast amounts of data, from customer records and transaction logs to sensor readings and social media feeds. While big data has the potential to drive insights and innovation, its volume and complexity present significant challenges for information discovery and retrieval. This is where artificial intelligence (AI) steps in as a powerful solution 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 grow exponentially, finding relevant information can feel like searching for a needle in a haystack. The diversity and heterogeneity of data sources further complicate the task, 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 within their data. As AI continues to evolve, it promises to transform how we interact with and derive value from big data, enabling organizations to make smarter decisions, innovate faster and stay ahead 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. |
|
Sponsored by Access Innovations, changing search to found.
