The Data Wire — industry news and thought leadership for data, storage and enterprise AI
FUTURE OF DATA MANAGEMENT
Outdated Data Becomes a Bigger Liability When AI Agents Take Action
FUTURE OF DATA MANAGEMENT
Data Risk Falls And Recovery Value Rises When Wiping And Resale Happen Together
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AI Adoption Works Better When Organizations 'Drop All Eight Seasons At Once'
Nolan Walker, VP of Business Intelligence at Suncoast Credit Union, on why slow-rolling AI adoption kills interest and an all-at-once release builds real momentum.
Data Intelligence Determines What AI Agents Can Be Trusted To Reach
Itay Kozuch, Chief Information Security Officer at Navan, details the classification, ownership, and access checks he puts in front of any agent.
Commvault’s CTO Puts Data Resilience at the Center of AI Strategy as Breaches Become the Baseline
Commvault CTO and AI Officer Pranay Ahlawat argues that in an AI-first enterprise, data resilience stops being the layer underneath the stack and becomes the thing that lets a company move fast.
Future of Data Management
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Data Intelligence Determines What AI Agents Can Be Trusted To Reach
Itay Kozuch, Chief Information Security Officer at Navan, details the classification, ownership, and access checks he puts in front of any agent.Europe Gets More From Its AI Supercomputers By Keeping Data Right Next To The Processors
Daniele Cesarini, Head of AI-HPC Architecture at CINECA, on why data movement limits AI efficiency and how shared supercomputers adapt to enterprise demand.
Enterprise AI Exposes Data Modeling Gaps That Require More Than Validated Numbers
Silja Märdla, Head of Analytics Engineering at Bolt, explains why the business knowledge analysts take for granted must become explicit rules for AI.Outdated Data Becomes a Bigger Liability When AI Agents Take Action
Aditya Ranjan, Senior Data Engineer at H-E-B, joined The Data Wire for a virtual interview in late-September to discuss the modern data engineering challenges behind reliable enterprise AI systems.
AI Governance Starts With Distrusting Your Own Data
Florence Hudson of the Northeast Big Data Innovation Hub and Columbia University's Data Science Institute says data trust depends on verification that continues after collection, backed by infrastructure that keeps the context those checks rely on.
AI Readiness Starts With Questions Most Organizations Still Have Not Answered About Their Data Intelligence
Jared Amaral, Data & Analytics Practice Development and Delivery Leadership at Verndale, explains why enterprise AI readiness depends on questions most organizations still have not answered about their data.AI Agents Are Changing How Procurement Teams Work and Think About Enterprise Data
Marc Behring, Director of Procurement Excellence at Messer Americas, explains how AI agents are reshaping procurement’s relationship with enterprise data and raising new questions about data quality, governance, and human oversight.
How Trusted Data Foundations Let Enterprises Scale AI Without Rebuilding Everything
Søren Meincke Persson, Director of Data Platform & Governance at Norlys, on starting with high-value domains, metrics-first architecture, and governance that runs in the platform.
Agent Guardrails Belong In The Data Foundation Before The First Deployment
Trent Lezer, CDAO and Senior Director of Data & Analytics at Daikin Applied Americas, shares how project selection, shared definitions, and access control decide whether an AI system can be trusted in production.
Smaller Models And Shorter Lookback Windows Help Data Teams Get More From AI Infrastructure
Janne Kalliola, Founder of Coonti, says over-tuned models and stale records hide capacity many enterprises never think to look for.
Data Primacy: Why Government's AI Ambitions Run Through Its Data Architecture
Bill Wright, Head of Government Affairs at Everpure, says federal agencies keep calling data their most valuable asset while their systems still treat it as a byproduct of individual applications.
AI Pilots Reach Production When Ownership And Operating Costs Enter The Plan From the Start
Marco Fahmi, former AI Director at Queensland Government, explains why a working prototype can still leave an organization without a service it can sustain.Leadership
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When Models Disagree, Causal Testing Helps Data Leaders See Which Results Will Hold At Scale
Emily Nightingale, Director of Marketing Data Science at The Knot Worldwide, on how disagreement between sources becomes its own decision-grade signal.
Utilities Can Meet Much Of AI's Power Demand By Upgrading Infrastructure They Already Have
Brendan Andrews, Vice President of Energy and Infrastructure at Bureau Veritas, on why upgrading existing infrastructure beats waiting a decade for new capacity.
Smart Building Growth Pushes Tech Leaders To Separate Sensor Traffic From Business-Critical Systems
Peter Wilson, Chief Technology Architect at Fujitsu, shares why sensor data pays off only when it answers a cost, space, or productivity decision the business already faces.
The Smartest AI Business Cases Put Freed Capacity Back to Work
IBM AI strategy leader Prashant Parida joins the Data Wire podcast to explore what companies can create with the capacity AI releases.
America Won’t Win the AI Race Without Data Center Efficiency
Bill Wright, Head of Government Affairs at Everpure, makes the case for AI-ready data infrastructure that supports national innovation without burdening taxpayers.
Green Dashboards, Red Outcomes: How XLAs Fix The Gap Between SLA Compliance and Business Success
Paul Neuman, Founder and Head of GTM Services at IT Services Demystified, explains why the industry's most common performance metric is also its most misleading, and what it takes to close the gap between technical delivery and business outcomes.
Enterprises Are Deploying Agents Like Software. They Should Be Onboarding Them Like Employees.
Daniel Davenport and William duPont of Applied Identities explain why treating agents like software instead of employees leaves companies with generic tools that fail to reflect their strategy, values, or competitive differentiation.Cyber Resilience
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The Quantum Threat Is Forcing a Rethink of How Enterprises Protect Their Data
Dr. Syed Muntasir Mamun, Director General (ICT/AI) at Bangladesh's Ministry of Foreign Affairs, explains why post-quantum security requires rethinking data architecture beyond encryption.
Verified Restoration Of Critical Systems Sets A Higher Bar For Cyber Recovery Readiness
Cyber recovery is increasingly measured by an organization's ability to restore critical applications and business operations, exposing the limitations of backup protection, untested recovery plans, and optimistic restoration timelines.Cyber Resilience Moves Beyond Security As Executives Confront The Cost Of Disruption
CISOs are being asked to prepare businesses for disruption without controlling every system or process recovery depends on. That puts executive ownership at the center of resilience planning.
The Ultimate Shift Left: Embedding Security Into The AI That Writes Your Code
Dr. Ratinder Paul Singh Ahuja, Everpure's Chief Technology Officer and Vice President for Security and Networking, argues that when anyone can build an application in an afternoon, security has to move inside the AI tools themselves and prove its work before code reaches production.
Why AI Integrated Through Vendor APIs and Cloud Ecosystems Amplifies Every Form of Enterprise Risk
Kay Kimberg Fonguh, a technology risk and control specialist, argues that AI embedded through third-party vendors, APIs, and foundation model providers materially amplifies model risk, cyber risk, concentration risk, and decision-making opacity.
Everpure CTO Says Disaster Recovery Alone Leaves Cyber Resilience Exposed
Andrew Stone, CTO for the Americas at Everpure, outlines why treating cyber recovery like disaster recovery leaves organizations dangerously exposed and how to build a truly resilient strategy for modern threats.
How AI Attacks are Driving CISOs to Swap Old Prevention Tactics for Resilient Data and Provable Recovery
Rick Orloff, VP and CISO at Everpure, shares how embedding security in core data infrastructure gives enterprises control when attacks inevitably break through.Most Popular
AI
AI Adoption Works Better When Organizations 'Drop All Eight Seasons At Once'
FUTURE OF DATA MANAGEMENT
Data Intelligence Determines What AI Agents Can Be Trusted To Reach
CYBER RESILIENCE
Commvault’s CTO Puts Data Resilience at the Center of AI Strategy as Breaches Become the Baseline
CYBER RESILIENCE
The Quantum Threat Is Forcing a Rethink of How Enterprises Protect Their Data
AI
AI Pilots Reach Production When Ownership And Operating Costs Enter The Plan From the Start
FUTURE OF DATA MANAGEMENT
Europe Gets More From Its AI Supercomputers By Keeping Data Right Next To The Processors
FUTURE OF DATA MANAGEMENT