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Outdated Data Becomes a Bigger Liability When AI Agents Take Action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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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Outdated Data Becomes a Bigger Liability When AI Agents Take Action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Engineer at H-E-B, explains how agents can reason correctly yet make the wrong decisions when the data they rely on is outdated.
Future of Data Management
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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Outdated Data Becomes a Bigger Liability When AI Agents Take Action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Engineer at H-E-B, explains how agents can reason correctly yet make the wrong decisions when the data they rely on is outdated.AI Governance Starts With Distrusting Your Own Data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.Data Risk Falls And Recovery Value Rises When Wiping And Resale Happen Together
John Shegerian, Chairman and CEO of ERI, shares how on-site reconciliation and critical mineral recovery are making retired data center hardware a supply question as much as a security one.
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.
Part 1: What Changes When AI Begins to Act?
Identity sprawl, unpredictable workload patterns, and autonomous systems that can outrun their own guardrails. At Everpure's Accelerate, financial-services infrastructure leaders laid out five areas where agentic AI is forcing a rethink.
Part 2: What Keeps a Promising Banking AI Demo From Making It Into Production?
An Everpure-hosted panel featuring Options Technology VP Andrea Moccia and financial services infrastructure leaders laid out the recurring failure patterns that trap AI pilots in permanent purgatory, and the architectural decisions that let a handful of firms break through.
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.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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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.
Zero Trust Becomes a Modernization Strategy As Leaders Move Beyond Compliance Thinking
Gerald Caron, VP of Cybersecurity at RIVA Solutions, on how his federal experience shaped a view of Zero Trust as a modernization and operating model challenge.
Inside the Shift Toward Internal Data Governance As Global AI Regulation Fragments
As global AI rules diverge, DataRep Non-Executive Director Onur Korucu explains why effective governance now depends on understanding data flows and infrastructure.Most Popular
FUTURE OF DATA MANAGEMENT
Europe Gets More From Its AI Supercomputers By Keeping Data Right Next To The Processors
FUTURE OF DATA MANAGEMENT
Enterprise AI Exposes Data Modeling Gaps That Require More Than Validated Numbers
FUTURE OF DATA MANAGEMENT
Outdated Data Becomes a Bigger Liability When AI Agents Take Action
FUTURE OF DATA MANAGEMENT
AI Governance Starts With Distrusting Your Own Data
CYBER RESILIENCE
Verified Restoration Of Critical Systems Sets A Higher Bar For Cyber Recovery Readiness
CYBER RESILIENCE
Cyber Resilience Moves Beyond Security As Executives Confront The Cost Of Disruption
AI