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Evaluate
Is your data infrastructure ready for the zettabyte era?
AI initiatives are driving demand for curated, controlled data. Leaders must move beyond capacity planning and build the governance and quality practices that make data usable.
Evaluate
The CDO's new role is curating context for data governance
Agentic AI demands that CDOs move beyond cataloging to curating the context AI systems retrieve, creating a new accountability layer for data governance.
News
Nimble launches agents to cull relevant web data for AI
The vendor's Web Search Agents autonomously learn domain-specific use cases to help enterprises collect contextually relevant information for AI and analytics.
News
Potential consequences are severe when AI agents lack context
When connected with relevant context, agents can increase organizational efficiency and reduce spending. When left to guess, they can cause significant harm.
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Data science and analytics News
Qlik launches data engineering tools to aid AI development
New capabilities, such as data quality agents and a feature that makes data products more reusable, support engineers to help organizations more easily achieve their AI goals.
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Database Management News
Couchbase evolution continues with new data layer for AI
New capabilities including Agent Memory and extension to edge devices help the vendor compete for market share as it grows beyond its database roots.
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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.
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Data Management Strategies Evaluate
Is your data infrastructure ready for the zettabyte era?
AI initiatives are driving demand for curated, controlled data. Leaders must move beyond capacity planning and build the governance and quality practices that make data usable.
-
Data Integration News
Nimble launches agents to cull relevant web data for AI
The vendor's Web Search Agents autonomously learn domain-specific use cases to help enterprises collect contextually relevant information for AI and analytics.
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Data Governance Evaluate
The CDO's new role is curating context for data governance
Agentic AI demands that CDOs move beyond cataloging to curating the context AI systems retrieve, creating a new accountability layer for data governance.
Sponsored Sites
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Generative AI
Enhancing Generative AI for Independent Software Vendors (ISVs)
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Artificial Intelligence
NeuraFlash & Amazon Connect
Amazon Connect has made its mark. The pace of innovation is unprecedented and, as a result, customers are evaluating Amazon Connect more than ever before. No matter where you are on your contact center journey, NeuraFlash has the expertise to enhance your experience with Amazon Connect.
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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.
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Find Solutions For Your Project
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Evaluate
Is your data infrastructure ready for the zettabyte era?
AI initiatives are driving demand for curated, controlled data. Leaders must move beyond capacity planning and build the governance and quality practices that make data usable.
-
The CDO's new role is curating context for data governance
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How data mesh supports AI-ready data architectures
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The 5 pillars of data observability
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Problem Solve
AI doesn't need an unstructured data dump -- move what matters
Bulk data migration pushes out AI timelines. Data leaders should invert the process: classify and catalog first, then move only relevant content to reduce delays and costs.
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8 proactive steps to build trusted data for analytics and AI
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How governance as code controls AI agent risk
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AI agents push enterprises toward unified data governance
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Manage
CDO challenges that hinder data-driven initiatives
Chief data officers must turn AI ambition into measurable value. These eight issues show where data strategies break down -- and how leaders can respond.
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AI data fabric emerges as a governance layer for agents
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How agentic AI amplifies data management challenges
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How to use AI to enforce data governance policies
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Data Management/Data Warehousing Basics
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Get Started
How agentic AI amplifies data management challenges
AI agents pose new data management challenges and magnify familiar ones. To build a solid agentic foundation, data leaders must plan for these critical challenges.
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Get Started
Data ontologies are foundational for usable AI outputs
Data ontologies strengthen AI outputs with governed definitions across platforms and departments, helping data leaders boost trust and improve decision-making.
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Get Started
How to use AI to enforce data governance policies
AI models and agents can automate data governance policy enforcement for proactive governance in dynamic data environments. But don't forget the human element.
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News
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Data integration
Nimble launches agents to cull relevant web data for AI
The vendor's Web Search Agents autonomously learn domain-specific use cases to help enterprises collect contextually relevant information for AI and analytics.
-
Data integration
Potential consequences are severe when AI agents lack context
When connected with relevant context, agents can increase organizational efficiency and reduce spending. When left to guess, they can cause significant harm.
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Data management strategies
Data management vendors race to connect AI with context
With agents requiring situational awareness to be accurate, connecting AI with relevant data and business logic has been an almost singular focus throughout 2026.
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