Complete the assessment and use the information in this guide to measure and increase the maturity of your data ecosystem. After you’ve answered all the questions, the tool will present scores that ...
Successful modern data infrastructure encompasses more than just storage and staging options. Organizations must take a holistic approach with key data management practices including data quality, ...
Cal Al-Dhubaib, head of AI & data science at Further, joins host Andrew Miller to discuss trustworthy generative AI experiences including the benefits of "boring AI", balancing AI and human ...
The Data Ecosystem Maturity Model can help organizations improve their data ecosystems. It provides a framework for companies to understand where they are, where they’ve been, and where they still ...
Distributed data is a reality for most organizations today. As businesses grow and evolve, they often find themselves managing a variety of data sources, driven by past decisions and operational needs ...
Data governance is a continuous journey that must evolve alongside the changing needs of an organization. It focuses on the people, practices, and platforms that ensure business data is always ...
AI hallucination is a mortal threat to AI-powered applications, and vector search capabilities are an increasingly critical asset as enterprises strive to meet fast-moving AI objectives. Ok, well ...
A fully mature enterprise data ecosystem is a robust, flexible, and high-performance asset for business success. Today’s enterprises are evolving their data ecosystems to leverage data for better ...
As organizations evolve their data infrastructures to support modernization efforts, they are often dealing with multiple engines and data repositories, including cloud data warehouses and data lakes ...
Modern enterprises must often exchange sensitive data in order to stay competitive, develop innovative products and services, and comply with a growing range of regulatory mandates. They must exchange ...