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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.
News
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.
News
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.
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.
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Data science and analytics News
GoodData launches MCP server to fuel AI-powered analysis
By connecting its platform and customers' AI tools, the vendor is enabling users to automate the analytics workflow and speed insight generation.
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Database Management Evaluate
Different types of database management systems explained
The various types of database software come with advantages, limitations and optimal uses that prospective buyers should be aware of before choosing a DBMS.
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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 Get Started
Modernized big data architecture a must for AI to deliver
Many enterprises put AI into production in 2025 but found their legacy data stacks stalled progress. See what it takes to modernize big data systems for better AI results.
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Data Integration News
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.
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Data Governance Evaluate
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.
Sponsored Sites
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Information Management
PwC customer contact transformation powered by Amazon Connect.
Solving complex service challenges with the right blend of people, process and technology – enabling organisations to move beyond outdated contact centre models and embrace scalable, agile solutions that meet today’s demands.
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Generative AI
Enhancing Generative AI for Independent Software Vendors (ISVs)
Transform your software and deliver enhanced experiences to your end users when you integrate with the Amazon Q Business index. Access secure, multi-app data through an API to deliver smarter, context-rich experiences to your end users. Join leading providers in revolutionizing applications with composable AI features.
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Collaboration
Increase Productivity with a Scalable Collaboration Solution
Learn how Slack offers significant advantages in scalability, security, platform depth and integrations, engagement, and shared channels are valued by organisations when undertaking digital transformation initiatives.
Find Solutions For Your Project
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Evaluate
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.
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Modern data architectures as a risk management strategy
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The top 2026 data conferences to plan enterprise strategy
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2026 will be the year data becomes truly intelligent
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Problem Solve
10 data governance challenges that can sink data operations
No organization can successfully use data without data governance. Address 10 data governance challenges to avoid financial loss, derailed operations and reputation damage.
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7 data cleansing best practices
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6 dimensions of data quality boost data performance
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Data lake governance: Benefits, challenges and getting started
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Manage
Modernized big data architecture a must for AI to deliver
Many enterprises put AI into production in 2025 but found their legacy data stacks stalled progress. See what it takes to modernize big data systems for better AI results.
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How data lineage became a boardroom metric
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Top trends in big data for enterprises in 2026
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Data governance roles span the enterprise
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Data Management/Data Warehousing Basics
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Get Started
Modernized big data architecture a must for AI to deliver
Many enterprises put AI into production in 2025 but found their legacy data stacks stalled progress. See what it takes to modernize big data systems for better AI results.
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Get Started
10 essential roles for a data management team in 2026
These 10 essential data management roles help leaders design teams that support governance, scale and trusted analytics across modern enterprise data environments.
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Get Started
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.
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Data integration
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.
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Data integration
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.
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Data management strategies
ScyllaDB adds vector search to managed database platform
The feature's direct integration in the X Cloud platform is aimed at simplifying AI development by eliminating the need for customers to add specialized databases.
Search Data Management Definitions
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