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AI agent failures offer hidden value for enterprises
Most agent pilots will never reach production, but these failures can prove useful to data operations. Organizations should look to the 2010s mobile app boom for guidance.
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Why Apache Iceberg is the center of attention in data platforms
In a Q&A, consultant Donald Farmer explains why vendors are rushing to support Apache Iceberg and discusses its capabilities and deployment issues for data teams.
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Securing data against AI attacks can't be a side project
The same AI capabilities that power enterprise innovation also give attackers machine-speed access to database vulnerabilities, demanding a shift in how organizations protect data.
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AI agents push enterprises toward unified data governance
Enterprises facing data sprawl and growing risks from autonomous agents need unified governance and runtime controls to manage agent access and actions they can take.
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Data science and analytics News
Qlik launches data engineering tools to aid AI development
New capabilities, such as data quality agents and a feature that makes data products more reusable, support engineers to help organizations more easily achieve their AI goals.
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Database Management News
Couchbase evolution continues with new data layer for AI
New capabilities including Agent Memory and extension to edge devices help the vendor compete for market share as it grows beyond its database roots.
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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
Why Apache Iceberg is the center of attention in data platforms
In a Q&A, consultant Donald Farmer explains why vendors are rushing to support Apache Iceberg and discusses its capabilities and deployment issues for data teams.
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Data Integration News
CData aims to simplify AI development with latest features
New capabilities that reduce data integration tasks and connect data with AI aid developers while helping the vendor carve out a niche amid a competitive landscape.
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Data Governance Manage
AI agent failures offer hidden value for enterprises
Most agent pilots will never reach production, but these failures can prove useful to data operations. Organizations should look to the 2010s mobile app boom for guidance.
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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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Why Apache Iceberg is the center of attention in data platforms
In a Q&A, consultant Donald Farmer explains why vendors are rushing to support Apache Iceberg and discusses its capabilities and deployment issues for data teams.
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Securing data against AI attacks can't be a side project
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Data modeling is having a moment, and AI is the reason
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Which data management costs should survive budget cuts?
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Problem Solve
AI agents push enterprises toward unified data governance
Enterprises facing data sprawl and growing risks from autonomous agents need unified governance and runtime controls to manage agent access and actions they can take.
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8 data integration challenges and how to overcome them
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Data observability for AI helps curb poor model performance
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10 big data challenges and how to address them
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AI agent failures offer hidden value for enterprises
Most agent pilots will never reach production, but these failures can prove useful to data operations. Organizations should look to the 2010s mobile app boom for guidance.
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Big data integration techniques and best practices to adopt
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Data governance metrics: Measure success, identify issues
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Govern citizen development to avoid data pipeline downtime
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Data Management/Data Warehousing Basics
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Big data integration techniques and best practices to adopt
Data integration in big data systems is even more complex now because of AI. To succeed, it requires a strategy built on new approaches and strong data management.
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Context is the make-or-break layer for AI in production
Your AI model might not be the reason it fails in production. Missing or unclear context throws off the model, leading to untrustworthy outputs that the business can't act on.
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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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Database management
Couchbase evolution continues with new data layer for AI
New capabilities including Agent Memory and extension to edge devices help the vendor compete for market share as it grows beyond its database roots.
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Data management strategies
Latest MongoDB tools tackle top AI development hurdles
New capabilities address the data retrieval accuracy and regulatory compliance issues that often stall initiatives, and could help distinguish the vendor from competitors.
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Database management
Agents are altering data security needs, Oracle responds
Traditional strategies that protect infrastructure systems are not enough with agents autonomously accessing data and threat actors using AI to discover new vulnerabilities.
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