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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.
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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.
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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.
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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.
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Data science and analytics Evaluate
10 predictive analytics platforms for enterprises in 2026
The leading products have evolved into autonomous ecosystems that use AI agents and natural language to accommodate users at every skill level and accelerate decision-making.
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Database Management News
Operational resilience is a benchmark for executive success
Operational resilience is emerging as an executive benchmark as regulations, board scrutiny and compliance mandates drive the need for measurable KPIs and accountability.
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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 News
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.
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Data Integration News
Teradata updates vector indexing suite to aid AI development
New capabilities including hybrid search and support for multi-modal embeddings are aimed at helping users access the data needed by agents and other cutting-edge applications.
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Data Governance News
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.
Sponsored Sites
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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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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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Storage
Benefit From the Power of Consolidated Storage
Learn how a consolidated approach to storage can modernize your storage which will increase efficiency and can decrease costs.
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How executives can build a responsible AI framework
Building a responsible AI framework requires governance policies, accountability structures, compliant infrastructure and clear metrics to ensure AI systems operate as intended.
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18 top big data tools and technologies to know about in 2026
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Real-time data streaming for AI: invest where it matters
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Operational resilience is a benchmark for executive success
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Problem Solve
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.
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How to cut data loss risks when employees leave
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Residual access failures put data at risk
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10 data governance challenges that can sink data operations
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Manage
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.
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Experts share practices to overcome AI data readiness
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Data and AI governance must team up for AI to succeed
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How to secure sensitive data when offboarding employees
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Data Management/Data Warehousing Basics
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Get Started
Real-time data streaming for AI: invest where it matters
Don't let batch processing lead to missed opportunities. Build AI systems for continuous data flows that deliver instant decisions, change outcomes and justify the cost.
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Get Started
How cyber insurance requirements reshape backup architecture
From immutable backups to air-gapped copies, these requirements reflect the growing need for organizations to prove they can recover from an incident -- or risk losing coverage.
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Get Started
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.
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Vendor Resources
- The Asset Evolution –eGuide
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Data management strategies
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.
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Data management strategies
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.
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Data management strategies
Web data search specialist Nimble raises $47M to fuel growth
By raising funding when AI developers are dominating VC interest, the startup shows that there is a need for agents and other AI tools to include context from external sources.
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