Data Management
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Welcome to TechTarget Data
TechTarget’s relaunch is more than a new look. With expanded reporting, deeper analysis, and clearer coverage across enterprise IT, we’re helping technology leaders understand what matters and what to do next.
By Lisa Schmeiser • Oct. 27, 2026 -
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Meta’s $25B fine underscores risks of data privacy missteps
The fine imposed by a New Mexico judge shows how serious the consequences of misusing customer data can be for companies, as the risks of that grow in the AI era.
By Craig Stedman • Oct. 23, 2026 -
Courtesy of TechTarget
How CarGurus cleared the roadblocks to its AI initiatives
After the company found that its existing data environment was stalling its AI plans, it launched a multifaceted effort to update its governance, architecture and data practices.
By Mary Pratt • Oct. 23, 2026 -
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Databricks’ latest improves AI memory, infrastructure for agents
The vendor's new additions address some of the real-world problems customers are having as they attempt to deploy agents at scale.
By Eric Avidon • Oct. 22, 2026 -
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Couchbase’s new features target cost, complexity of deploying agents
New capabilities in the vendor's AI Data Plane include native integration with Amazon Bedrock and converting unstructured data to vector embeddings in private networks.
By Eric Avidon • Oct. 20, 2026 -
Courtesy of TechTarget
Teradata’s new security measures aim to harness AI agents
The vendor's new features, including poly-anonymization to reduce PII exposure address customer needs, bring its privacy and security capabilities in line with its peers.
By Eric Avidon • Oct. 20, 2026 -
Courtesy of TechTarget
Neo4j joins the context cavalcade with suite for informing AI agents
Context Engine is a set of features that enables the vendor's customers to build knowledge layers for agents to access to inform their actions.
By Eric Avidon • Oct. 20, 2026 -
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5 things to know right now about modern data catalogs
As data catalogs shift from passive registries to platforms that drive AI and analytics, utilizing them to improve data use and governance is a priority for data leaders.
By Craig Stedman • Oct. 19, 2026 -
Courtesy of TechTarget
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.
By John Moore • Oct. 15, 2026 -
Courtesy of TechTarget
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.
By Eric Avidon • Oct. 14, 2026 -
Courtesy of TechTarget
Expert Advice
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.
By George Lawton • Oct. 9, 2026 -
Courtesy of TechTarget
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.
By Eric Avidon • Oct. 9, 2026 -
Courtesy of TechTarget
Why data governance struggles to audit shadow AI
Data loss prevention watches known exits, but shadow AI moves data through agents and SaaS integrations. Gateways, local models and sanctioned AI tools close that gap.
By Jelani Harper • Oct. 8, 2026 -
Courtesy of TechTarget
New Precisely capabilities address common AI development hurdles
The vendor's AI Studio and unified data management suite are designed to simplify development on top of a trusted data foundation
By Eric Avidon • Oct. 6, 2026 -
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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.
By Craig Stedman • Oct. 6, 2026 -
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Opinion
The hidden data costs missing from AI budgets
Operational work to shore up a weak data foundation can distort the economics of AI projects. Bringing these costs to light helps clarify ROI and what to prioritize.
By Bill Schmarzo • Oct. 2, 2026 -
Courtesy of TechTarget
Controlling agents a joint priority for data, AI governance teams
AI agents need context to carry out tasks and guardrails to stop them from going rogue. Data and AI governance teams must work together to ensure both are in place.
By Craig Stedman • Oct. 2, 2026 -
Courtesy of TechTarget
Evolving MongoDB targets managing agents, performance for AI
A memory and governance layer and an updated database engine further the vendor's progress toward becoming a platform provider for data and AI while helping it remain competitive.
By Eric Avidon • Sept. 29, 2026 -
Courtesy of TechTarget
Microsoft transforming Fabric into AI’s foundational layer
An integration between Fabric IQ and Copilot helps turn Fabric into a context layer for agents and demonstrates the interconnectedness of Microsoft's many platforms.
By Eric Avidon • Sept. 29, 2026 -
Courtesy of TechTarget
Databricks buys Row Zero to aid spreadsheet governance for users, AI
The acquisition will enable users to run spreadsheets in the Databricks platform, giving data teams greater governance control over data use by humans and AI agents.
By Craig Stedman • Sept. 25, 2026 -
Courtesy of TechTarget
Why data governance fails at compliance and how to fix it
Governance policies break down in practice due to unclear ownership, thin resources and weak incentives. Automated controls and monitoring help align them with compliance.
By Chris Tozzi • Sept. 24, 2026 -
Courtesy of TechTarget
How to prepare enterprise data for advanced AI
AI projects need reliable data, but it's not necessary to prepare all assets at once. Focus the improvements on the structured and unstructured data each use case requires.
By Mary Pratt • Sept. 24, 2026 -
Courtesy of TechTarget
With new context engine, Teradata aims to be an AI colleague
Teradata is introducing features that advance Tera beyond a natural-language interface, including vendor-neutral capabilities that work across existing data environments.
By Eric Avidon • Sept. 22, 2026 -
Courtesy of TechTarget
Streamhouse: A new way to serve AI with real-time context
A group of vendors is joining forces to define an architecture for fueling AI with real-time context to aid enterprises struggling to feed agents the streaming data they need.
By Eric Avidon • Sept. 22, 2026 -
Courtesy of TechTarget
Expert Advice
How to control agentic AI access to enterprise data
AI agents stand in for users and reach multiple systems. Governing their access requires distinct identities, scoped authority and records that show who authorized each action.
By Sean Kerner • Sept. 21, 2026
