New & Notable
News
Databricks launches model to boost data retrieval for AI
Adding sequential search to improve the speed and accuracy of responses to complex queries evolves existing capabilities and keeps Databricks in step with competitors.
Evaluate
How to verify the value of AI-powered business analytics
Executives can separate AI analytics capabilities from marketing hype by taking steps to confirm the platform improves decision-making and gives results that hold up.
How to improve resiliency in legacy IT environments
Older technology cannot be swapped out quickly due to costs and complexity, but organizations can strengthen recovery capabilities while modernization efforts continue.
Evaluate
Data mesh success hinges on hybrid implementation
Data mesh is settling into a hybrid model as enterprises balance domain ownership with shared controls, cross-domain analytics and AI requirements at scale.
Sponsored Sites
-
AI & Emerging Tech
Verizon Connected Laptops
A survey of 438 companies reveals a widening gap between AI adoption and network security, with 95% concerned about risks outside the office. While 5G-enabled laptops may offer a path forward, many enterprises have dormant 5G hardware.
-
Backup Storage
A Guide to Modern Backup Storage Considerations
This site will look “behind backup storage” to highlight potential problem areas for data center backup storage, as well as recommend some best practices for ensuring backup, restore and ransomware protection at enterprise scale.
-
Data Management
Intel and Microsoft: Intelligent Edge to Cloud Solutions
Microsoft and Intel build on long-standing co-engineering efforts to enable differentiated services within Azure. By combining innovative software and services with cutting-edge hardware, the Intel and Microsoft partnership delivers state-of-the-art-edge to cloud solutions for Industrial IoT and computer vision edge AI, SAP on Azure, high-performance computing (HPC), confidential computing, hybrid cloud, Microsoft SQL Server, AI, analytics, and more.
Topics Covered
Find Solutions For Your Project
-
Evaluate
How to verify the value of AI-powered business analytics
Executives can separate AI analytics capabilities from marketing hype by taking steps to confirm the platform improves decision-making and gives results that hold up.
-
Data mesh success hinges on hybrid implementation
-
Why anonymization alone no longer protects sensitive data
-
Why more data will not deliver AI data readiness
-
-
Problem Solve
Shift-left governance brings data controls upstream for AI
AI systems move too fast for data governance that waits until the end. Enterprises are replacing outdated review methods with earlier oversight and automated controls.
-
AI value comes from continuous learning, not automation
-
York's data governance program eyes capabilities, not control
-
AI doesn't need an unstructured data dump -- move what matters
-
-
Manage
Why data can't be standardized at the source
Deterministic data controls benefit from early standardization, but context-dependent governance only works at the point of use. The distinction reshapes where each control belongs.
-
PayPal exec maps a path to adopting shift-left data governance
-
Data contracts gain urgency as AI tests data foundations
-
How CDOs can show the business impact of data
-
Data Technologies Basics
-
Get Started
Integrate structured and unstructured data for better AI outputs
For AI agents to give the most accurate, informed responses, organizations must provide them with all the facts. Even those that are hidden in an old email or customer claim.
-
Get Started
Business resilience vs. business continuity: Key differences
Business continuity and resilience go hand in hand and play a role in an organization's disaster recovery plan. Essentially, business continuity is needed to achieve resilience.
-
Get Started
How to get reliable BI insights from AI-augmented analytics
Before adopting AI-powered BI applications, organizations need stronger business context, trusted workflows and users prepared to assess AI outputs.
Multimedia
-
-
Get Started
Enterprise backup as a service explained
-
-
News
View All -
Data Management
Boomi intros layer for controlling AI costs and connections
The Agent Control Plane combines previously disparate capabilities in one environment to help users better observe and command their fleets of agents.
-
Data Management
Qdrant builds dataset to benchmark vector retrieval at scale
With AI tools requiring massive volumes of vectors to perform properly, the public dataset is designed to help organizations test their systems in real-world conditions.
-
Business Analytics
As AI evolves, Tableau talks direction ahead of Dreamforce
A knowledge layer and headless analytics capabilities show that the vendor is changing to meet the needs of its users as AI reduces the need for traditional BI.
Data Technologies Definitions
- What is data visualization?
- What is customer data integration (CDI)?
- What is data restoration?
- What is data analytics (DA)?
- What is a backup storage device?
- What is off-site backup?
- What is an entity relationship diagram (ERD)?
- What is data as a service (DaaS)?