New & Notable
Manage
The data ownership blind spots putting organizations at risk
Organizations can't claim to have good data governance when they still have unowned data. Assigning ownership to siloed and dark data is critical to enterprise success.
Evaluate
Why enterprise AI stalls between pilot and production
Most enterprise AI programs stall between pilot and production. Closing the operationalization gap requires trusted data, built-in governance and open interoperability.
Manage
Controlling data sprawl requires governance discipline
Data sprawl drives higher infrastructure costs, expands security exposure and weakens compliance controls as data proliferates faster than governance can scale.
News
Google unveils data cloud purpose built for agentic AI
Features including a Knowledge Catalog and cross-cloud lakehouse are aimed at enabling customers to deploy multi-agent systems and could be a competitive edge for the tech giant.
Trending Topics
-
Data science and analytics Evaluate
How business leaders can make a data-literate culture stick
Data literacy is an ongoing, interactive process. With executive support, a data-literate culture eases backlogs, improves AI outcomes and fosters better decision-making.
-
Database Management News
Redis unveils Feature Form to improve AI, ML workloads
Unified batch and streaming pipelines and multi-tenant capabilities that allow teams to isolate work in shared database instances highlight new ML management environment.
-
Data Warehousing News
Latest AWS data management features target cost control
As the volume and complexity of enterprise data estates increase, and the size of data workloads grows due to AI development, the tech giant aims to help users reduce spending.
-
Data Management Strategies News
Google unveils data cloud purpose built for agentic AI
Features including a Knowledge Catalog and cross-cloud lakehouse are aimed at enabling customers to deploy multi-agent systems and could be a competitive edge for the tech giant.
-
Data Integration News
Data quality, fast failures and quick wins key to AI success
Despite many organizations struggling to realize value from their development initiatives, best practices can help, according to industry experts at Domo's annual user conference.
-
Data Governance Manage
The data ownership blind spots putting organizations at risk
Organizations can't claim to have good data governance when they still have unowned data. Assigning ownership to siloed and dark data is critical to enterprise success.
Sponsored Sites
-
Storage
Dell Technologies Partner Dell Tech Advantage
Learn how a consolidated approach to storage can modernize your storage which will increase efficiency and can decrease costs.
-
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.
-
Intelligent Agreement Management
Accelerate revenue, reduce risk and unlock value
Over 1.6 million customers and more than a billion people in over 180 countries use Docusign solutions to accelerate business processes and simplify lives. Using the Docusign IAM platform, companies can create, commit to, and manage agreements with solutions created by the #1 company in e-signature and contract lifecycle management (CLM).
Featured Authors
Find Solutions For Your Project
-
Evaluate
Why enterprise AI stalls between pilot and production
Most enterprise AI programs stall between pilot and production. Closing the operationalization gap requires trusted data, built-in governance and open interoperability.
-
Reconsider the AI readiness gap in data and analytics
-
Hybrid search demands reshape retrieval frameworks for AI
-
Converged architecture is enterprise AI's missing foundation
-
-
Problem Solve
The data ownership blind spots putting organizations at risk
Organizations can't claim to have good data governance when they still have unowned data. Assigning ownership to siloed and dark data is critical to enterprise success.
-
AI, analytics push data-in-use protection up priority list
-
Data domain ownership, data mesh chart path to AI-ready data
-
SLM vs. LLM: Rightsize data architecture to optimize AI use
-
-
Manage
Controlling data sprawl requires governance discipline
Data sprawl drives higher infrastructure costs, expands security exposure and weakens compliance controls as data proliferates faster than governance can scale.
-
6 key components of a successful data strategy
-
The database is the new battleground for enterprise AI
-
Q&A: The gap between AI ambitions and data readiness
-
Data Management/Data Warehousing Basics
-
Get Started
How to develop an enterprise data strategy: 12 key steps
Here are 12 to-do items for data leaders developing a data strategy to help their organization use data more effectively for analytics and business decision-making.
-
Get Started
Data governance regulations that executives should know
Growing national and international regulatory compliance demands aim to protect consumer data. Organizations must adhere to regulations or face noncompliance risks.
-
Get Started
How big data collection works: Process, methods, challenges
Before big data can be used in analytics and AI applications, data teams must collect it from various sources. Here's how to create and manage an effective collection process.
Multimedia
Vendor Resources
- AI Security Starts Here –eBook
- Make the switch from Citrix to Omnissa Horizon –Product Overview
- The C-Suite Guide to GenAI Risk Management –White Paper
-
News
View All -
Data management strategies
Google unveils data cloud purpose built for agentic AI
Features including a Knowledge Catalog and cross-cloud lakehouse are aimed at enabling customers to deploy multi-agent systems and could be a competitive edge for the tech giant.
-
Data management strategies
Snowflake updates further goal of being control pane for AI
Agentic capabilities that execute workloads based on natural language prompts and access to new data sources facilitate the vendor's ambition to become a hub for agentic systems.
-
Database management
Redis unveils Feature Form to improve AI, ML workloads
Unified batch and streaming pipelines and multi-tenant capabilities that allow teams to isolate work in shared database instances highlight new ML management environment.
Search Data Management Definitions
- What is customer data integration (CDI)?
- What is data analytics (DA)?
- What is an entity relationship diagram (ERD)?
- What is data as a service (DaaS)?
- What is data stewardship?
- What is a pivot table? How to use in Excel and Sheets
- What is Microsoft SSIS (SQL Server Integration Services)?
- What is data quality and why is it important?