Data Management with GenAI: How to Handle Structured Data
Generative AI (GenAI) is a transformative force for data leaders. It’s projected to make managing structured data easier by taking complex tasks and simplifying them, all while reducing skill gaps and driving productivity. In the next 5 to 10 years, natural language interfaces could become the standard for managing data. That means interacting with your […]
Taming the Jungles of Your Data with Semantic Data Labeling
There is a treasure trove of insights within your organizational data. More often than not, however, revealing these insights requires digging through layers of obscurity. In this vast, untamed jungle of data, semantic data labeling is your loyal machete, helping you hack away the wild weeds and undergrowth, revealing the clear path toward valuable information. […]
How LLMs and Semantic AI Will Transform Your Enterprise Data Game
This is How Large Language Models Can Help You Manage and Analyze Enterprise Data in 2024 and Beyond In the dynamic world of organizational data, we are witnessing the dawn of a revolutionary era, marked by the integration of large language models (LLMs) in data management and analytics workflows. This transformative journey, spanning the next […]
The Role of Semantic Layer in Generative AI Productization
The Promise of Generative AI in Enterprise ChatGPT is on everyone’s lips today – almost everyone has used it for their personal needs as well as their business needs. The rapid adoption of this new technology leaves many data practitioners feeling overwhelmed, almost like a hangover. This is especially true when considering the far-reaching consequences […]
Semantic AI is the Key to Create Value from All Your Data
According to a 2023 Gartner® Adopt a Data Semantics Approach to Drive Business Value report “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 […]
Semantic Layer and Knowledge Graphs
Graphs have been with us for decades, but a few things have changed since the days of writing algorithms in Matlab: Graph stores: Neo4j, TigerGraph, Graphdb, Neptune, RelationalAI – and many more. Native graph databases allow us to build relational models instead of hacking through endless JOINs in traditional databases. Graph algorithms: Deep learning is […]
