Generative AI: A Symphony of Precision Across the Data Lifecycle
Organizations that view data as a critical corporate asset and embrace generative AI throughout the data lifecycle will position themselves at the forefront of …
Topic: Big Data
Big Data technologies and use cases for real-time analytics. Big Data technologies, market insights, and use cases for real-time analytics.
The Impact of Data Sovereignty on Integration Strategy Requires a ‘Goldilocks’ Solution
Meeting data sovereignty regulations is essential for business success and requires the right data management balance between centralized control and local …
Superior Data Analysis Needed for the Cybersecurity Industry
While having the right tools to manage today's influx of data is crucial, cybersecurity teams must also have the right skills to carefully comb through and …
Real-time Data Mobile App Use Cases
By adopting adaptive architectures and leveraging cloud resources, developers can build a wide range of mobiles apps that are more engaging due to the …
Summit Explores Open-Source Data Issues and Developments
Summit speakers discussed the open-source data ecosystem and its role in modern
Why Adopting Data Agility is Crucial to the Survival of Your Business
Data agility is measured by the speed and flexibility at which an organization can meet goals swiftly and at scale, regardless of whether it has a hybrid or …
Groups Focus on Infrastructure for AI and High-Performance Workloads
Recent work by different groups seek to address infrastructure issues of AI, analytics, and other data-intensive
Open Source and the Data Lakehouse: Apache Iceberg and Project Nessie
The data lakehouse concept presents a harmonious fusion of the strengths of both data lakes and data warehouses.
Data Governance Concerns in the Age of AI
As more organizations make use of generative AI, there is growing concern about data governance issues that may emerge with the use of the
Atomic (Not Message) Semantic Mapping
With data atomization, retail data practitioners can separate, label, define, and use data without worrying about the peculiarities and complexities of system …