New & Notable
Manage
How a premortem reveals data modernization project pitfalls
By questioning assumptions early, leaders can spot workflow dependencies, adoption barriers and ownership gaps that a technology-first plan could miss.
News
Bigeye focuses on enforcing AI governance with Policy Engine
AI doesn't work without user confidence in the results; a new feature within Bigeye's Agent Trust Hub aims to reassure users by controlling what data agents can access.
Evaluate
How to evaluate the leading data fabric tools and platforms
AI has increased the importance of connecting distributed data. Data leaders should evaluate whether these data fabric vendors offer reliable access while maintaining control.
News
Security, cost benefits drive the rise of bringing AI to data
Natively integrating models where data lives has proven safer, more cost efficient and effective than porting data into LLMs when building agents and other AI tools.
Sponsored Sites
-
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.
-
AI & Emerging Tech
SHI + Google - Gemini SMB Adoption Campaign
Insights into how SHI and Google Cloud provide proven implementation strategies for SMBs to successfully transform their operations and achieve measurable ROI through a strategic enterprise AI approach.
-
AI & Emerging Tech
Verizon 5G 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 connected laptops may offer a path forward, many enterprises have dormant 5G hardware.
Topics Covered
Find Solutions For Your Project
-
Evaluate
How to evaluate the leading data fabric tools and platforms
AI has increased the importance of connecting distributed data. Data leaders should evaluate whether these data fabric vendors offer reliable access while maintaining control.
-
Why data governance struggles to audit shadow AI
-
10 common big data use cases for data leaders to enable
-
Why entry-level data jobs are still critical in the AI age
-
-
Problem Solve
How a premortem reveals data modernization project pitfalls
By questioning assumptions early, leaders can spot workflow dependencies, adoption barriers and ownership gaps that a technology-first plan could miss.
-
The hidden data costs missing from AI budgets
-
How to prepare enterprise data for advanced AI
-
How to control agentic AI access to enterprise data
-
-
Manage
Governance teams now emphasize data, AI enablement
In some organizations, data governance programs are now focusing more on enabling employees and AI systems to use data effectively than on controlling its use.
-
Controlling agents a joint priority for data, AI governance teams
-
Databricks buys Row Zero to aid spreadsheet governance for users, AI
-
Data storytelling techniques can help sell governance efforts
-
Data Technologies Basics
-
Get Started
10 common big data use cases for data leaders to enable
Here are 10 ways companies use big data to improve operations, better understand customers, effectively deploy AI systems and gain other business benefits.
-
Get Started
Agentic data management starts taking shape as a tech option
Data management agents could help data teams boost efficiency and AI readiness, but leaders must address governance and find low-risk starting points to build expertise.
-
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.
Multimedia
-
-
Get Started
Enterprise backup as a service explained
-
-
News
View All -
Data Management
Bigeye focuses on enforcing AI governance with Policy Engine
AI doesn't work without user confidence in the results; a new feature within Bigeye's Agent Trust Hub aims to reassure users by controlling what data agents can access.
-
Data Management
Security, cost benefits drive the rise of bringing AI to data
Natively integrating models where data lives has proven safer, more cost efficient and effective than porting data into LLMs when building agents and other AI tools.
-
Business Analytics
SAS launches new governance suite to bolster customer trust in AI
AI Navigator is designed to foster widespread AI adoption by providing transparency into agents' actions and a comprehensive view of an enterprise's entire AI network.
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)?