Data governance
Data governance processes manage the availability, usability, integrity and security of the data in enterprise systems. These processes rely on detailed internal data standards and policies that also control data usage. Learn about the latest data governance processes and strategies to ensure data is consistent, trustworthy and properly protected.
Top Stories
-
News
04 Jun 2026
Neo4j's GraphAware acquisition targets new customer segment
The purchase adds analysis capabilities for government agencies that work on top of the vendor's graph database, expanding its target audience to include analysts. Continue Reading
By- Eric Avidon, Senior News Writer
-
News
02 Jun 2026
Microsoft boosts Fabric to make it a foundation for AI
New features that feed agents contextually relevant data add breadth to the platform and keep its data and AI capabilities current in a competitive market. Continue Reading
By- Eric Avidon, Senior News Writer
-
Feature
02 Jun 2026
ERP data becomes AI's next control problem
AI agents and assistants need ERP data to work well, but exposing that data raises new questions about governance, context, security and ownership. Continue Reading
By- James Alan Miller, Senior Executive Editor
-
News
02 Jun 2026
Snowflake barrage adds more AI development, analysis tools
A streaming data service and tools that provide agents with contextual awareness highlight the latest from the vendor as it constructs a foundation for agentic enterprises. Continue Reading
By- Eric Avidon, Senior News Writer
-
News
01 Jun 2026
Fivetran, DBT Labs complete merger to form data layer for AI
The combined capabilities of the newly formed company provide the infrastructure, including data integration and preparation, for agents and other cutting-edge applications. Continue Reading
By- Eric Avidon, Senior News Writer
-
Feature
29 May 2026
Verify backup data integrity to reduce recovery risks
Validation is an essential part of data backups. Test and confirm that your backup data is intact and usable now, rather than discovering problems during a recovery. Continue Reading
-
News
28 May 2026
New Starburst platform extends AI to distributed data
The vendor's approach to developing agents and other cutting-edge applications eliminates the time, cost and risks of moving data and could be a competitive differentiator. Continue Reading
By- Eric Avidon, Senior News Writer
-
Feature
27 May 2026
Why AI forces security-first governance
AI systems fail quietly through drift, biased outputs and degraded judgment. A security-first governance approach gives leaders the visibility and continuous control to scale AI safely. Continue Reading
By- Liam Cleary, SharePlicity
-
Opinion
26 May 2026
Data observability for AI helps curb poor model performance
Data quality issues get amplified in AI applications. Models can produce confident -- but misleading -- forecasts and conclusions without observability safeguards. Continue Reading
By- Stephen Catanzano, Senior Analyst
-
Feature
22 May 2026
How dashboard sprawl challenges upend enterprise analytics
The proliferation of dashboards, coupled with conflicting data definitions, exposes governance issues in organizations and reduces the ROI of analytics investments. Continue Reading
-
Feature
20 May 2026
Evolving Alteryx focusing on AI-ready data, logic for agents
As the vendor grows to meet changing customer needs, CEO Andy MacMillan says its goals have expanded beyond its data prep roots to include connecting agents with proper context. Continue Reading
By- Eric Avidon, Senior News Writer
-
News
20 May 2026
Informatica update aims to provide trust foundation for AI
Agents that continuously perform master data management tasks and a headless architecture for data management improve access to data that can be trusted to inform outputs. Continue Reading
By- Eric Avidon, Senior News Writer
-
News
20 May 2026
Latest Alteryx features aim to boost AI-powered automation
Capabilities include an MCP server and a tool that helps transform trusted data and logic into agents, with potential differentiation lying in the empowerment of business users. Continue Reading
By- Eric Avidon, Senior News Writer
-
News
19 May 2026
Latest from Confluent streamlines use of streaming for AI
A fully managed MCP server and machine learning-powered data privacy capabilities aid customers attempting to move real-time AI applications into production. Continue Reading
By- Eric Avidon, Senior News Writer
-
Feature
15 May 2026
Data sovereignty expands beyond compliance boundaries
Geopolitical conflict and outages can upend assumptions about where data is controlled and accessed, pushing leaders to plan for jurisdictional risk, resilience and recovery. Continue Reading
By -
Opinion
13 May 2026
Understanding data contracts for AI projects
AI models fail silently when upstream data shifts. Data contracts prevent this by making schema, semantics and quality a binding agreement between producers and consumers. Continue Reading
By- Stephen Catanzano, Senior Analyst
-
News
11 May 2026
Alation intros AI governance suite to ensure compliance
As enterprises launch agents and other cutting-edge applications into production, remaining compliant with evolving regulations is challenging. Continue Reading
By- Eric Avidon, Senior News Writer
-
Feature
08 May 2026
Data governance metrics: Measure success, identify issues
Implementing a data governance program isn't enough. Data leaders also need to track and analyze various metrics to evaluate its effectiveness and address shortcomings. Continue Reading
By -
News
07 May 2026
Teradata's latest targets putting agentic AI into production
As many enterprises prepare to move past experimenting with agents, the vendor's new platform is purpose-built to help users move pilots into production. Continue Reading
By- Eric Avidon, Senior News Writer
-
Feature
06 May 2026
Build a data governance team that delivers results
Regulations, AI and jumbled implementation oversight weaken decision-making. A dedicated team can help bring structure, accountability and consistent outcomes. Continue Reading
By- Donald Farmer, TreeHive Strategy
-
Feature
01 May 2026
The UC stack gets the policy job
As UCaaS platforms add AI and become central to hybrid work, enterprises need to balance cloud scale with control over communications data, compliance and policy. Continue Reading
By- James Alan Miller, Senior Executive Editor
-
Feature
28 Apr 2026
How agentic AI governance tackles data, security challenges
AI agents promise real gains -- and pose real risks. Enterprises that move fast without first tightening governance controls might struggle to prevent rogue behavior. Continue Reading
-
News
28 Apr 2026
Latest SAS capabilities focus on fostering reliable AI
Features including an MCP server and a framework for developing agents aim to enable trustworthy AI-powered analysis while also helping the vendor catch up to its competition. Continue Reading
By- Eric Avidon, Senior News Writer
-
News
27 Apr 2026
GoodData joins agentic AI development mix with Agent Builder
Automatic connections to relevant data through a context layer and a no-code development interface aim to simplify building context-aware, cutting-edge applications. Continue Reading
By- Eric Avidon, Senior News Writer
-
Tip
24 Apr 2026
How to develop a data governance strategy: 7 key steps
A strong data governance strategy enables more effective data use and helps prevent financial, legal and reputational problems. Follow these steps to develop one. Continue Reading
By- Donald Farmer, TreeHive Strategy
-
Tip
24 Apr 2026
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. Continue Reading
-
Tip
24 Apr 2026
How telemetry can transform storage strategies
Storage telemetry data gives IT leaders the insight needed to bridge visibility gaps in on-premises, hybrid and multi-cloud environments. Continue Reading
By- Damon Garn, Cogspinner Coaction
-
Opinion
23 Apr 2026
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. Continue Reading
By- Stephen Catanzano, Senior Analyst
-
Feature
22 Apr 2026
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. Continue Reading
By- Kashyap Kompella, RPA2AI Research
-
News
22 Apr 2026
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. Continue Reading
By- Eric Avidon, Senior News Writer
-
News
20 Apr 2026
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. Continue Reading
By- Eric Avidon, Senior News Writer
-
Feature
17 Apr 2026
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. Continue Reading
By- Eric Avidon, Senior News Writer
-
Tip
16 Apr 2026
8 examples of document version control
Document version control strategies help teams manage collaboration, approvals, retention and recovery across modern content platforms. Continue Reading
By- Laurence Hart, CGI Federal
- Christine Campbell, The Alpha Content Company
-
Feature
14 Apr 2026
How Sikich balances GenAI innovation with security
Sikich CIO Scott Sanders explains how the firm uses well-defined governance, security controls and a focus on business-driven use cases to scale generative AI. Continue Reading
By- Tim Murphy, Site editor
-
News
14 Apr 2026
Latest Qlik tools target helping users achieve AI goals
New analytics, data engineering and governance capabilities are aimed at enabling customers to successfully build and deploy agents and other advanced applications. Continue Reading
By- Eric Avidon, Senior News Writer
-
News
14 Apr 2026
Starburst intros AI assistant to boost analysis, exploration
Built with capabilities that enable it to reason, act and observe, AIDA improves on text-to-SQL translation tools to provide contextually aware query responses. Continue Reading
By- Eric Avidon, Senior News Writer
-
Tip
08 Apr 2026
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. Continue Reading
By -
Feature
08 Apr 2026
Data governance for AI requires a cross-functional approach
AI systems create risks that span data, security and model integrity. A cross-functional governance model distributes ownership without creating silos. Continue Reading
By- Kashyap Kompella, RPA2AI Research
-
Tip
07 Apr 2026
AI, analytics push data-in-use protection up priority list
As sensitive data moves into AI pipelines, organizations must evaluate how to protect it during processing and what safeguards IT platforms provide for data in use. Continue Reading
-
Feature
01 Apr 2026
Why enterprise AI initiatives fail without governance
Enterprise AI pilots succeed in controlled conditions but collapse when scaling exposes the accountability, ownership and explainability gaps that governance was meant to prevent. Continue Reading
-
Feature
31 Mar 2026
Top data preparation challenges and how to overcome them
Data preparation is a crucial but complex part of analytics and AI applications. Don't let these seven common challenges send your data prep processes off track. Continue Reading
By- Rick Sherman, Athena Solutions
-
Tip
27 Mar 2026
From core to edge: Strategies for scalable, compliant and agile IT
Edge computing is revolutionizing data processing, allowing organizations to reduce latency and enhance real-time insights. Follow these strategies for effective adoption. Continue Reading
By- Damon Garn, Cogspinner Coaction
-
Feature
27 Mar 2026
Data domain ownership, data mesh chart path to AI-ready data
That AI initiative won't get off the ground without timely, reliable data. Bringing technology and team practices into sync reduces delays and boosts data readiness. Continue Reading
By -
News
26 Mar 2026
Domo adds new governance tools to improve data access
With AI applications taking on more business workflows, new capabilities are aimed at enabling system administrators to ensure the appropriate use of data. Continue Reading
By- Eric Avidon, Senior News Writer
-
Feature
26 Mar 2026
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. Continue Reading
-
News
24 Mar 2026
Oracle AI Database update aims to ease developing agents
New vector indexing capabilities and prebuilt agents are designed to simplify building cutting-edge applications and could help differentiate the tech giant from competitors. Continue Reading
By- Eric Avidon, Senior News Writer
-
Feature
23 Mar 2026
Q&A: The gap between AI ambitions and data readiness
Ataccama CEO Mike McKee discusses why most organizations aren't ready for AI, why ROI failures are largely a people problem and what the data management industry keeps overlooking. Continue Reading
By- Scott Thompson, Site Editor
-
Tip
18 Mar 2026
Data lineage documentation matters for enterprise reliability
Data lineage is critical to enterprise success. Tracing a data asset's journey through pipelines helps improve data quality, speeds up corrections and builds trust in analytics. Continue Reading
By -
News
18 Mar 2026
Snowflake intros SnowWork to automate tasks with AI
The platform, which is now in research preview, is designed to provide users with agent-powered collaboration capabilities that can automate actions and workflows. Continue Reading
By- Eric Avidon, Senior News Writer
-
Feature
17 Mar 2026
Good governance key to reducing high AI project failure rate
Better governance of cutting-edge applications and the data that feeds them are key to overcoming development obstacles, Databricks exec Craig Wiley said in a recent interview. Continue Reading
By- Eric Avidon, Senior News Writer
-
Feature
17 Mar 2026
SLM vs. LLM: Rightsize data architecture to optimize AI use
It doesn't need to be a binary choice. Enterprises are warming up to smaller AI models to meet compliance and cost needs while reserving large models for complex jobs. Continue Reading
-
Tip
14 Mar 2026
Data lakehouse ransomware recovery strategies for AI
Attackers target the metadata your data intelligence platform needs to function. Understand where your AI risks are and what it takes to restore service after an incident. Continue Reading
-
News
12 Mar 2026
GoodData's Context Management aims to make AI trustworthy
The new context layer includes semantic modeling and governance to make data consistent and discoverable for AI and could help the vendor distinguish itself from some competitors. Continue Reading
By- Eric Avidon, Senior News Writer
-
Tip
10 Mar 2026
Build trust on a federated governance model
Follow this practical blueprint to adopt a modern data governance approach that aligns people, processes and platform to deliver measurable results from AI across the business. Continue Reading
By- Tom Walat, Editor
- Andy Hayler, Information Difference
-
News
09 Mar 2026
Alation automates governance with latest AI-powered suite
Outcome-based governance, including the newly launched Curation Automation, turns time-consuming data management tasks over to agents and could be a differentiator for the vendor. Continue Reading
By- Eric Avidon, Senior News Writer
-
Feature
09 Mar 2026
15 top data catalog software tools to consider using in 2026
Organizations can use numerous tools to build and manage data catalogs. Here are 15 prominent ones that data leaders should consider for their data management needs. Continue Reading
By- George Lawton
- Craig Stedman, Industry Editor
-
Guest Post
09 Mar 2026
Key requirements for data and analytics governance platforms
Successful governance platforms require business and IT alignment, user-friendly design and scalable architecture to tie governance to measurable outcomes. Continue Reading
By- Guido De Simoni, Gartner
-
News
09 Mar 2026
CData targets development success with Connect AI update
The vendor's latest launch takes a three-pronged approach toward helping users move pilots into production and could be a competitive differentiator if it delivers on its promise. Continue Reading
By- Eric Avidon, Senior News Writer
-
Tip
06 Mar 2026
How to optimize data storage governance
Data governance manages the availability, usability, integrity and security of data. Follow these best practices for governance as it relates to data storage. Continue Reading
By -
Feature
04 Mar 2026
Data governance responsibilities now belong in the C-suite
To improve business outcomes, leadership must move beyond IT controls and adopt a playbook that treats data as a shared enterprise asset with clear roles and policies. Continue Reading
-
News
04 Mar 2026
Insightsoftware unifies semantic layer, governance to aid AI
With many enterprises struggling to develop AI tools, the vendor's Simba Intelligence feature set is designed to feed agents and other applications trustworthy, transparent data. Continue Reading
By- Eric Avidon, Senior News Writer
-
Feature
03 Mar 2026
AI data governance guidance that gets you to the finish line
As organizations dive into AI adoption, many realize the first real bottleneck is not the model but how to prepare their information so it can be used effectively in AI workflows. Continue Reading
By- Ed Scannell, Freelancer
-
News
26 Feb 2026
Confluent adds A2A support to fuel multi-agent AI networks
Including the open protocol enables users to build an orchestrated network of collaborative agents and could help the vendor distinguish itself from its closest competitors. Continue Reading
By- Eric Avidon, Senior News Writer
-
News
23 Feb 2026
New Databricks tool targets streaming data cost, complexity
With Zerobus Ingest, the vendor is providing a service that differentiates it from competitors by reducing the tools required to ingest real-time data to its lakehouse platform. Continue Reading
By- Eric Avidon, Senior News Writer
-
Tip
20 Feb 2026
Experts share practices to overcome AI data readiness
Enterprise AI ambitions can stumble without strong data fundamentals. Here's how to pick, organize and maintain data so systems behave reliably and projects move to production. Continue Reading
-
Feature
19 Feb 2026
Data and AI governance must team up for AI to succeed
AI applications won't produce reliable results -- and could create compliance and business ethics risks -- without strong data governance processes underpinning them. Continue Reading
By- Craig Stedman, Industry Editor
-
Tip
18 Feb 2026
How to secure sensitive data when offboarding employees
Establish a multi-phased approach that turns a risky situation into a managed process with several departments working in coordination to ensure a smooth exit. Continue Reading
By- Kevin Beaver, Principle Logic, LLC
-
News
18 Feb 2026
Streaming specialist Redpanda adds governance to AI suite
New Agentic Data Plane features enable users to create a governance layer for agents and could help the vendor differentiate itself from its closest competitors. Continue Reading
By- Eric Avidon, Senior News Writer
-
Opinion
17 Feb 2026
The future of AI depends on better data, not bigger models
AI's competitive advantage is shifting from model scale to data quality. Organizations that invest in governance and infrastructure build more reliable, defensible systems. Continue Reading
By- Stephen Catanzano, Senior Analyst
-
News
17 Feb 2026
Graphwise aims to boost AI accuracy with GraphRAG launch
With standard RAG pipelines proving unreliable, the vendor's new feature uses knowledge graphs to add needed context to the data retrieval process that fuels AI outputs. Continue Reading
By- Eric Avidon, Senior News Writer
-
Definition
17 Feb 2026
What is a data retention policy?
In business settings, data retention is a concept that encompasses all processes for storing and preserving data, as well as the specific time periods and policies businesses enforce that determine how and for how long data should be retained. Continue Reading
By- Brien Posey
- Paul Crocetti, Editorial Director
- Andrew Burton
-
Tip
13 Feb 2026
How to cut data loss risks when employees leave
How an employee leaves influences what data they might take. Organizations can implement several practical methods to protect code, client information, and other assets. Continue Reading
-
Feature
10 Feb 2026
What executives look for in a data quality platform
Data quality strategy now functions as a governance and risk discipline, with executives weighing metrics, ROI accountability and data trust as indicators of enterprise reliability. Continue Reading
By- Donald Farmer, TreeHive Strategy
-
Tip
10 Feb 2026
Residual access failures put data at risk
Stop breaches that start with orphaned accounts. This guide identifies offboarding weak spots and gives leaders a practical checklist to close gaps fast and prove compliance. Continue Reading
By- Kevin Beaver, Principle Logic, LLC
-
Tip
09 Feb 2026
How to navigate data sovereignty for AI compliance
As AI systems consume data for training and decision-making, businesses must navigate complex regulations, geopolitical boundaries and vendor risks. Continue Reading
By- Donald Farmer, TreeHive Strategy
-
News
09 Feb 2026
PII masking a differentiator for Aerospike's NoSQL database
By adding native protection of personally identifiable information, the vendor is simplifying system administration while simultaneously pushing the NoSQL market. Continue Reading
By- Eric Avidon, Senior News Writer
-
News
05 Feb 2026
Databricks launches PostgreSQL Lakebase to aid AI developers
Resulting from the $1B acquisition of Neon, the database built for AI workloads -- including separate compute and storage -- is now integrated with the vendor's broader platform. Continue Reading
By- Eric Avidon, Senior News Writer
-
News
04 Feb 2026
Pentaho update aids data integration, semantic modeling
The vendor's latest platform update aims to speed, simplify and better govern workloads to help customers build a trusted foundation for AI development. Continue Reading
By- Eric Avidon, Senior News Writer
-
News
03 Feb 2026
Snowflake launches new AI tools, unveils OpenAI partnership
New features such as an agent-powered code generator and automated semantic modeling simplify developing cutting-edge applications and improve the vendor's competitive standing. Continue Reading
By- Eric Avidon, Senior News Writer
-
Tip
31 Jan 2026
What to know about synthetic data as a business advantage
Synthetic data mimics real data without sensitive information. It offers cost-effective options and competitive advantages for AI training, software testing and data monetization. Continue Reading
By- Stephen J. Bigelow, Senior Technology Editor
-
Tip
30 Jan 2026
Choose an enterprise backup architecture that fits risk
Weigh the trade‑offs among on‑premises, backup as a service and hybrid backup, and use a clear framework to choose the approach that fits your organization. Continue Reading
-
News
28 Jan 2026
Alteryx launches in-warehouse data prep tool for BigQuery
Live Query for BigQuery eliminates the need to move data between systems, saving customers from spending on data egress and reducing the risk of security leaks. Continue Reading
By- Eric Avidon, Senior News Writer
-
News
28 Jan 2026
Domo adds App Catalyst to platform to aid AI development
By combining natural language code generation with enterprise-grade security and governance, the vendor aims to help customers more successfully build cutting-edge applications. Continue Reading
By- Eric Avidon, Senior News Writer
-
Opinion
27 Jan 2026
The trust-at-speed paradox: Most data governance wasn't built for AI
Agentic AI operates autonomously, exposing gaps in governance, data quality and accountability. Executives must address these limits to manage risk and move AI into production. Continue Reading
By- Stephen Catanzano, Senior Analyst
-
News
27 Jan 2026
Teradata's AgentStack aims to simplify building, managing AI
Featuring capabilities for developing, deploying and governing agents, the vendor's new suite addresses many of the problems enterprises face when trying to launch agentic systems. Continue Reading
By- Eric Avidon, Senior News Writer
-
News
27 Jan 2026
New Snowflake suite simplifies data, AI for energy sector
Energy Solutions joins the vendor's spate of industry-specific offerings and includes partner-built applications and pre-modeled datasets that accelerate data-driven initiatives. Continue Reading
By- Eric Avidon, Senior News Writer
-
Feature
23 Jan 2026
Data Technologies outlook on 2026: The year of data is here
Data will be the backbone of success in 2026. As AI reshapes data management, organizations must balance innovation with ethics, governance and high-quality data to thrive. Continue Reading
By- Erin Sullivan, Senior Site Editor
-
Feature
13 Jan 2026
How data lineage became a boardroom metric
Data lineage has moved beyond a technical function, becoming a board-level signal of how well organizations govern, audit and explain their data across complex environments. Continue Reading
By- Donald Farmer, TreeHive Strategy
-
Opinion
05 Jan 2026
2026 will be the year data becomes truly intelligent
As AI moves into production, enterprises are redefining data management around shared meaning, operational trust and system coherence rather than standalone capabilities. Continue Reading
By- Stephen Catanzano, Senior Analyst
-
Feature
29 Dec 2025
4 trends that will shape data management and AI in 2026
The tendencies that influence the next 12 months build on what began last year, including rising mergers and acquisitions and the need to simplify developing and deploying agents. Continue Reading
By- Eric Avidon, Senior News Writer
-
Tip
23 Dec 2025
How AI changes data governance roles and responsibilities
Data governance is a team effort, though recent AI developments have caused data and AI teams to converge. As a result, organizations have created new roles in these teams. Continue Reading
-
Feature
22 Dec 2025
4 trends that shaped data management, analytics in 2025
With each relating to agentic AI development, tendencies included nearly universal support for MCP and rising emphasis on semantic modeling, among others. Continue Reading
By- Eric Avidon, Senior News Writer
-
Answer
16 Dec 2025
How to build a data catalog: 10 key steps
A data catalog helps business and analytics users explore data assets, find relevant data and understand what it means. Here are 10 important steps for building one. Continue Reading
By- Anne Marie Smith, Ph.D., Alabama Yankee Systems, LLC
-
News
10 Dec 2025
Couchbase adds agentic AI development suite to Capella DBaaS
AI Services, which includes an integration with Nvidia and governance capabilities -- among other features -- represents the vendor's growth beyond its database roots. Continue Reading
By- Eric Avidon, Senior News Writer
-
News
04 Dec 2025
Snowflake, Anthropic boost partnership with $200M commitment
After first partnering in 2024 to make Claude models available in Cortex AI, the companies plan to collaborate on agentic AI development and marketing strategies. Continue Reading
By- Eric Avidon, Senior News Writer
-
News
03 Dec 2025
Informatica tightens bond with AWS's AI development tools
New features optimized for joint customers include MCP servers to connect governed data with foundation models and a framework for developing agents on the tech giant's platform. Continue Reading
By- Eric Avidon, Senior News Writer
-
Feature
25 Nov 2025
One year of MCP: Support a must for data management vendors
With most AI development initiatives focused on agentic AI, failure to provide the framework for easily connecting agents with relevant data is now a competitive disadvantage. Continue Reading
By- Eric Avidon, Senior News Writer
-
News
19 Nov 2025
Precisely intros AI capabilities to simplify data quality
The data integrity specialist's new features, including a conversational interface and a fabric for connecting governed assets, address the growing emphasis on high-quality data. Continue Reading
By- Eric Avidon, Senior News Writer
-
News
19 Nov 2025
Snowflake integrates with Nvidia to speed AI/ML workloads
Adding data science libraries featuring GPUs to the vendor's development suite aims to exponentially improve the performance of application workloads. Continue Reading
By- Eric Avidon, Senior News Writer
-
News
18 Nov 2025
New Microsoft tools connect AI agents with proper data
Semantic modeling to unite enterprise data and automated pipeline capabilities to feed applications with relevant information aim to give autonomous tools appropriate context. Continue Reading
By- Eric Avidon, Senior News Writer
-
Tip
18 Nov 2025
A dozen data storage acronyms you should know
There are many acronyms people use in the data storage space. The following are 12 of the more commonly appearing acronyms. Continue Reading
By- Paul Kirvan
-
Enterprise Strategy Group
Intelligence and advice powered by decades of global expertise and comprehensive coverage of the tech markets.
-
News
13 Nov 2025
Alation unveils agentic AI suite for governing critical data
CDE Manager includes agents that set standards and establish rules to help enterprises to connect data to key operations and govern such data to ensure it can be trusted. Continue Reading
By- Eric Avidon, Senior News Writer