The biggest risk to your AI program isn't the model you chose. It's the duplicate records, stale data and siloed storage quietly poisoning the pipeline.

The Short Version

• Gartner predicts that through 2026, organizations will abandon 60% of AI projects that are not supported by AI-ready data.
• Duplicate records, stale data and siloed storage each create distinct, predictable failure modes in an AI pipeline.
• AI systems do not automatically know when enterprise source data is wrong, outdated or duplicated. They can produce confident outputs from flawed inputs.
• Data engineering is an ongoing operational discipline, not a one-time pre-project setup task.
• In a 2023 evaluation commissioned by 1touch.io, third-party test lab Tolly reported 98.6% accuracy in its structured-data test and 100% in its unstructured flat-file test of the Inventa platform, technology Everpure acquired in 2026.
• Data readiness belongs at the start of any AI initiative, assessed alongside use case definition, architecture and model selection.

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Two new GA products, Unified Data Plane updates and four Intelligent Control Plane additions from Everpure's annual user conference.

The Short Version

▸ Pure Storage rebranded to Everpure; Q1 FY2027 revenue was $1.1 billion, up 35% year-over-year, reflecting the company's stated expansion from storage provider to data management platform

▸ Everpure Data Intelligence, formerly 1touch, is now available: universal discovery, automated governance and a semantic knowledge graph exposed through APIs and MCP

▸ Everpure Data Stream, based on the NVIDIA AI Data Platform reference design, is available now and reduces raw AI data preparation from months to minutes

▸ Everpure announced Unified Data Plane updates including Evergreen//One Overdrive and Everpure Cloud Azure Native Virtual Machines

▸ Four Intelligent Control Plane features ship from Q2 through Q4 2026: Copilot Workflow Execution, Enhanced Cyber Anomaly Detection, Workload Rebalance & Mobility and Fusion Compliance & Agentic Triage

▸ Cyber resilience framing positions immutable SafeMode snapshots and Human-in-the-Loop authorization as the final recovery backstop, not a perimeter concern

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Apple validated the hybrid AI architecture. Microsoft extended that architecture into enterprise governance. For regulated organizations, that distinction matters more than the headline.

The Short Version

▸ Apple's Worldwide Developer’s Conference (WWDC) 2026 platform confirms the hybrid AI architecture: local inference, private cloud and a framework abstracting model selection from application code

▸ That validation stops at the routing layer. Apple does not currently offer a public, agent-specific enterprise governance plane comparable to Microsoft Agent 365's combination of Entra identity controls, Purview data governance and Defender security telemetry.

▸ Microsoft's Agent 365 brings agent identity, data classification and behavioral telemetry into a single enterprise control plane

▸ For regulated organizations, the question is whether governance is designed before agents go into production or in response to a compliance finding

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Build 2026 just validated the local AI strategy and gave IT the compliance answer it needed. Here is the architecture, and why it matters.

The Short Version

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For the third time in less than a decade, the technology industry is navigating a supply chain crisis. This time the catalyst is AI. The hyperscalers' race to build out AI infrastructure has consumed the lion’s share of global semiconductor fabrication capacity, creating supply shortages and cost increases that ripple well beyond AI itself [1]. If you're not building GPU clusters, you might assume this doesn't affect you. It does.

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In today's threat landscape, identity is the new perimeter—and for most organizations, Microsoft Active Directory (AD) and Entra ID (formerly Azure AD) are that perimeter. When compromised, these systems expose everything: users, access, applications, and core business operations. For CISOs and IT leaders tasked with securing and sustaining identity services, traditional recovery methods often fall short—too slow, fragmented, or insecure for today's hybrid enterprises.

Rubrik’s Hybrid Identity Recovery delivers the speed, visibility, and resilience modern organizations require, enabling businesses to bounce back quickly from ransomware, insider threats, or operational failures—without reintroducing risk.

The Threat Landscape is Escalating:

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Pure recently launched its Pure Storage AI Copilot, which uses telemetry and AI models to assist IT teams in diagnosing performance issues, detecting security incidents such as ransomware, and simplifying storage management. This natural language assistant enables customers to check array performance, identify capacity concerns, and assess data security compared to their peers. It offers a significant advancement in troubleshooting and remediation for storage administrators.

AI Copilot Key Capabilities:

• Natural Language/Conversational Interface
  Ask plain-English questions (e.g., “Which volumes have high latency?”) and receive clear, actionable answers and remediation steps.
• Troubleshooting
  Automatically diagnoses storage performance issues such as latency, utilization, or hardware issues through step-by-step AI-guided analysis.
• Cyber Resilience & Security

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Earlier this month, Pure Storage and Nutanix announced a partnership to deliver a deeply integrated solution that delivers operational efficiency for storage-intensive workloads, including AI applications. This combined solution brings together Nutanix hyperconverged infrastructure (HCI) integrated with Pure’s high-performance FlashArray.

Daymark has longstanding, strategic channel partnerships with both Pure and Nutanix. We’re excited about how this integrated solution can help our customers maximize their investments by providing a modern and simplified IT infrastructure. Here are highlights of the newly announced features and benefits:

Simplified Infrastructure with Maximum Performance

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Pure Storage Portworx has established itself as the gold standard for cloud-native Kubernetes data storage, offering scalable persistent storage, multi-cloud data mobility and zero RPO data protection and disaster recovery. At Daymark, we have been impressed with Portworx and view it as being in a class of its own when compared to other suppliers of storage for Kubernetes-orchestrated container apps. Once you transition from development to production with Kubernetes, persistent storage and enterprise data services become critical components of your Kubernetes environment.

A recent report by research house GigaOm concurs, recognizing Portworx as an “Outperformer” — the only product with that designation in the report. The GigaOm Radar for Kubernetes Data Storage Report reviewed nine vendors in the Kubernetes data storage space, down from twenty-two vendors in 2021.

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The risk of a ransomware attack continues to increase at a frightening triple-digit annual growth rate. How bad is it? Bad, really bad. Businesses based in the U.S. face an 80% chance of an attack, compared to 31% chance in EMEA and 9% in the Asia-Pack region. As the attackers’ sophistication increases and cybergangs are forming, it is important to understand what the attackers are going after and how to increase your ransomware resilience.

 

Ransomware Demand and Payment Trends

•  In 2022, companies with $10 million in revenue or less had an average payout of $690,996¹
• Large enterprises (revenue of $5 billion plus) took a bigger hit, with an average $2,464,339² ransom payout
• Recent ransom demands have been as high as $30 million with payouts that have exceeded $8 million
• Threat actors are increasingly focused on extortion techniques—often layering them on top of each other
• Harassment is another extortion tactic being used in more ransomware cases. Ransomware threat actor groups will target specific individuals in the organization, often in the C-suite, with threats and unwanted communications³
• Cybercriminals threatened to leak stolen data in about 70% of ransomware cases involving negotiation in late 2022⁴
• The United States is still the most severely impacted, accounting for 42% of the observed leaks in 2022⁵
• As of late 2022, threat actors engaged in data theft in about 70% of cases compared to 40% in mid-2021⁶ 

Don’t Count on the Government for Help

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