Today’s enterprises are swamped with data. Other than recently built modern data stacks there are systems ranging from financial systems, and customer data platforms to on-premise data marts. The variety is overwhelming.
However, more data does not necessarily mean better insights or greater efficiency. More often than not, data remains siloed, incomplete, or difficult to interpret, thereby limiting the opportunities for true insights, efficient workflows and data-driven decision making.
Today’s enterprises are swamped with data. Other than recently built modern data stacks there are systems ranging from financial systems, and customer data platforms to on-premise data marts. The variety is overwhelming.
However, more data does not necessarily mean better insights or greater efficiency. More often than not, data remains siloed, incomplete, or difficult to interpret, thereby limiting the opportunities for true insights, efficient workflows and data-driven decision making.
“Growing levels of data volume and distribution are making it hard for organizations to exploit their data assets efficiently and effectively. Data and analytics leaders need to adopt a semantic approach to their enterprise data to drive business value and break data silos.”
This ebook walks you through the methods to unlock your data for analytics and generative AI
Table of Contents
- Chapter 1 Is Semantics the New Superpower for Enterprises?
- Chapter 2 Industry-Specific Semantics: A Game-changer for Data Management
- Chapter 3 Unleashing Contextual Institutional Knowledge with LLMs and Graphs
- Chapter 4 Key Recommendations for Enterprises Looking to Maximize Their Data ROI
