Data quality management and governance

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The incident response mistake 73% of leaders make
Having an incident response plan doesn't mean you're ready. Nearly three-quarters of security leaders say their organizations ...
Startup founder says trust is biggest barrier to AI agents
Despite rapid progress in agentic AI, enterprises still face major concerns around control, cost and reliability.
AI is fundamentally transforming organizations
AI veteran Peter Day discusses why enterprise AI transformation struggles: It's an organizational change problem, not a ...

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Instructure cyberattack reignites ransom payment debate
Instructure struck a deal to recover its stolen data -- likely paying a hefty ransom. For CISOs, deciding whether to negotiate ...
Transform SIEM rules with behavior-based threat detection
Outdated SIEM rules can hamstring enterprises as they try to safeguard their operations. Use a proactive, strategic approach ...
CISO's guide: How to test an incident response plan
Creating an incident response plan is only the beginning. Regular testing will help ensure it doesn't fall apart during a real ...

Cisco Live 2026 conference coverage and analysis
Informa TechTarget's updating guide to Cisco Live 2026 covers the latest trends, emerging technologies and product announcements ...
10 AI-driven network management tasks
AI can automate key network operations tasks, such as anomaly detection, event correlation and ticketing. This shifts network ...
Network built for champions keeps the Derby on track
The Kentucky Derby is known for speed, and needs a network to keep the tech running as smoothly as the horses. Look behind the ...

Quantum moves from promise to practice at IBM Think 2026
Quantum computing is becoming a reality at major companies, from Boeing to Allstate. Quantum -- especially when paired with AI --...
Balancing automation with human oversight in AI data centers
AI enhances data center operations through automation but requires human governance to manage risks, ensure ethical use and ...
AI capacity planning: Balancing flexibility, performance and risk
AI is transforming capacity planning, introducing unpredictable demand patterns. IT leaders must adopt new models to optimize ...

Data sovereignty expands beyond compliance boundaries
Geopolitical conflict and outages can upend assumptions about where data is controlled and accessed, pushing leaders to plan for ...
Understanding data contracts for AI projects
AI models fail silently when upstream data shifts. Data contracts prevent this by making schema, semantics and quality a binding ...
Power-constrained data architecture curbing AI ambitions
Rising power demands and grid interconnection delays are hampering enterprise AI efforts and altering data strategies, workload ...

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