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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.
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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.
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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.
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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.
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Data science and analytics News
New Tableau leader talks vendor's evolution in era of AI
With longtime data and analytics providers pivoting to find their role within AI workflows, Mark Recher takes over during a time of transition for the vendor.
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Database Management News
Actian targets secure, compliant AI with new vector database
The vendor's portable database enables organizations in heavily regulated industries to build AI tools without risking accidental data exposure or regulatory violations.
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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 Problem Solve
10 big data challenges and how to address them
Big data initiatives pose various challenges for data leaders and teams. Here are 10 common ones and advice on overcoming them to ensure deployments are successful.
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Data Integration Manage
Govern citizen development to avoid data pipeline downtime
Low-code/no-code and vibe coding require data leaders to shift from gatekeepers to architects of trust to maintain data integrity and keep pipelines running reliably.
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Data Governance News
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.
Sponsored Sites
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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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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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Storage Buying Considerations 2026
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Tracing data lineage in AI systems
Data lineage records how data moves through AI pipelines, turning model debugging, impact analysis and audits into queries rather than manual investigations.
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Understanding data contracts for AI projects
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Data governance metrics: Measure success, identify issues
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Build a data governance team that delivers results
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Problem Solve
10 big data challenges and how to address them
Big data initiatives pose various challenges for data leaders and teams. Here are 10 common ones and advice on overcoming them to ensure deployments are successful.
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Data sovereignty expands beyond compliance boundaries
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Power-constrained data architecture curbing AI ambitions
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Govern citizen development to avoid data pipeline downtime
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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.
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How to develop a data governance strategy: 7 key steps
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Controlling data sprawl requires governance discipline
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6 key components of a successful data strategy
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Data Management/Data Warehousing Basics
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Get Started
Power-constrained data architecture curbing AI ambitions
Rising power demands and grid interconnection delays are hampering enterprise AI efforts and altering data strategies, workload placement and resilience planning.
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Get Started
Top 10 vector database use cases across industries
Vector databases have become the standard infrastructure for enterprise AI work. These 10 use cases for vector databases show where the technology delivers practical value.
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Get Started
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.
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Vendor Resources
- Software Escrow Solutions to Support Financial Regulations –White Paper
- Data Management for Security Teams –eBook
- AI Security Starts Here –eBook
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Data governance
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.
-
Data management strategies
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.
-
Data governance
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.
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