How the Intersection of Taxonomies, Ontologies, and Semantic Layers Drives Business Growth
The integration of taxonomies, ontologies, and semantic layers is essential for modern enterprises aiming to harness the full potential of their data.
The integration of taxonomies, ontologies, and semantic layers is essential for modern enterprises aiming to harness the full potential of their data.
Modern tech stacks require a new approach to observability that enables continuous monitoring and optimization of performance metrics. This approach …
In this week's real-time analytics news: The New Jersey Institute of Technology (NJIT) will establish the Grace Hopper AI Research Institute to advance the …
The ability for companies to benefit from the convergence of cloud computing and generative AI will hinge upon putting both technologies to work on their data.
In this week's real-time analytics news: FICO improves real-time decision-making with enhancements to its FICO Platform.
With the widespread availability of democratized data, manufacturers are experiencing a surge in efficiency and productivity.
To get the most out of your organization’s data requires an integrated master data management (MDM) approach. While that can seem overwhelming, here are some …
As generative AI reshapes industries and businesses, organizations must remain vigilant and ensure data security governance is a top priority.
As businesses continue to evolve in the digital age, adopting a Data Mesh framework offers a path to more agile, efficient, and impactful data
General-purpose databases are changing to adapt to the new AI and GenAI workloads. Take Postgres which recently gained vector database extensions.