News
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27 Jul 2026 / Data Management Strategies
Context is king as agents evolve, but problems persist
Awareness enabled by appropriate data and business logic is one of the differences between agentic applications that properly perform and those that never reach production.
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24 Jul 2026 / Network Security
NetScout doubles AI DDoS defenses after infrastructure buy
NetScout boosts its attack mitigation capacity to 33 Tbps and plans to strengthen integration between its on-premises and cloud-based tools.
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24 Jul 2026 / Data Center Hardware
IBM infrastructure revenue down; open source, quantum on rise
IBM is looking to close what its CEO is calling "delayed sales" and eyeing a quantum future. While infrastructure and mainframe revenue is down, other units are up.
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24 Jul 2026 / Primary Storage Devices
WEKA pushes full-stack approach to keep GPUs fed
WEKA addresses AI inference bottlenecks with WEKApod 3, its first custom-designed hardware, paired with NeuralMesh 6 software to improve GPU efficiency.
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23 Jul 2026 / Threats & Vulnerabilities
OpenAI models escape containment, hack Hugging Face
In an unprecedented -- and unintended -- cyberattack, frontier AI models autonomously escaped their contained testing environment and breached another company's systems.
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23 Jul 2026 / Data Management Strategies
New Oracle AI database targets cost, data residency concerns
The tech giant's latest offering is a scaled-down version of its Exadata platform and helps differentiate its lineup of databases from those of competing providers.
Technology Insights
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27 Jul 2026 / HR Administration Technology
5 advantages and disadvantages of using AI in HR
AI can help HR teams save valuable time and improve service, but bias, accuracy, transparency and legal risks require governance before broader adoption.
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24 Jul 2026 / Data Management Strategies
How data mesh supports AI-ready data architectures
Data mesh can improve data access for AI initiatives by decentralizing ownership and governance, but it doesn't solve every data challenge.
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24 Jul 2026 / Data Integration
The 5 pillars of data observability
Data observability provides complete oversight of an organization's data pipeline. Use the 5 pillars of data observability to ensure efficient, accurate data operations.
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23 Jul 2026 / Data Governance
8 proactive steps to build trusted data for analytics and AI
Trusted data is even more critical as AI use increases. These eight steps will help data leaders build a strong foundation for effective analytics and AI applications.
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