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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.
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12 top open source databases for enterprise use
Open source databases offer viable alternatives to proprietary systems. This guide offers 12 popular options across relational, NoSQL and source-available technologies.
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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.
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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.
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Data science and analytics Evaluate
8 benefits of using big data for businesses
Big data is a valuable resource for improving business processes and driving innovation. Here are eight ways big data applications benefit companies.
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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
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.
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Data Integration News
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.
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Data Governance Manage
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.
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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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Cloud
Optimize Your Cloud Migration with AWS & Infoblox
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Intelligent Agreement Management
Accelerate revenue, reduce risk and unlock value
Over 1.6 million customers and more than a billion people in over 180 countries use Docusign solutions to accelerate business processes and simplify lives. Using the Docusign IAM platform, companies can create, commit to, and manage agreements with solutions created by the #1 company in e-signature and contract lifecycle management (CLM).
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Why agentic AI demands both structured and unstructured data
Agentic AI must access both structured and unstructured data to reason effectively. Converging these data types is the defining operational challenge for enterprise AI in 2026.
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15 top data catalog software tools to consider using in 2026
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Key requirements for data and analytics governance platforms
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How executives can build a responsible AI framework
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Problem Solve
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.
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AI data governance guidance that gets you to the finish line
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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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Manage
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.
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Data governance responsibilities now belong in the C-suite
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Operational resilience is a benchmark for executive success
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Experts share practices to overcome AI data readiness
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Data Management/Data Warehousing Basics
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Get Started
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.
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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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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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Vendor Resources
- The Asset Evolution –eGuide
- Navigating the Future of Enterprise IT: Trends Shaping 2026 –Analyst Report
- Simplified Private Cloud Orchestration with Service Now and Wind River –Product Overview
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Data management strategies
Qdrant raises $50M in funding to fuel vector database growth
With VCs cautious about investing in data management providers, the financing, which will be used for R&D and go-to-market initiatives, serves as validation of the vendor's vision.
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Data integration
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.
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Data integration
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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