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Novell Introduces ZENworks 11

The Industry’s First Unified Endpoint Management Solution

Novell is previewing Novell ZENworks 11, the industry’s first “single pane of glass” solution for endpoint management. Designed to address the rapidly converging markets of PC lifecycle management and endpoint security, ZENworks 11 helps enterprise customers lower the cost and risk of managing devices across physical, virtual, and cloud environments, while dramatically simplifying near-term needs such as Windows* 7 migrations.

Accompanying the ZENworks 11 preview is the release of Novell Service Desk, a new product which enables enterprises to centrally manage help desk incidents, improve customer service, and align with industry best practices such as ITIL.

ZENworks 11 represents an extensive upgrade to the Endpoint Management solutions from Novell and now includes four fully-integrated products in one unified platform: ZENworks Configuration Management, ZENworks Endpoint Security Management, ZENworks Asset Management and ZENworks Patch Management. This new platform delivers a single, integrated console and agent where IT administrators can manage desktops, patch applications, secure endpoints, and track software license compliance with the precise tools they need, exactly when they need them.

Key features of ZENworks 11 include:

- Unified Console and Agent: Enables administrators to use four key ZENworks products from the same easy-to-use, web console, leveraging a single adaptive agent, simplifying agent deployment and minimizing footprint on the endpoint device.

- Identity-based Management: Goes beyond managing physical endpoints, allowing IT administrators to understand the identity of users so those users get the precise applications and tools based on their roles and responsibilities, regardless of what device they use.

- Location Awareness: Gives organizations the ability to detect when users are outside of “safe” networks and utilizes policies to dynamically adjust user access and security postures based on where they are using their endpoint devices.

- Power Management: Enables administrators to implement policies to configure Windows power management settings and perform out-of-band power management tasks using Intel vPro.

- Expanded Platform Support: Now includes management of both Linux* and Windows endpoints from a single console.

The Latest

One of the earliest lessons I learned from architecting throughput-heavy services is that simplicity wins repeatedly: fewer moving parts, loosely coupled execution (fewer synchronous calls), and precise timing metering. You want data and decisions to travel the shortest possible path. The goal is to build a system where every strategy and each line of code (contention is the key metric) complements the decision trees ...

As discussions around AI "autonomous coworkers" accelerate, many industry projections assume that agents will soon operate alongside human staff in making decisions, taking actions, and managing tasks with minimal oversight. But a growing number of critics (including some of the developers building these systems) argue that the industry still has a long way to go to be able to treat AI agents like fully trusted teammates ...

Enterprise AI has entered a transformational phase where, according to Digitate's recently released survey, Agentic AI and the Future of Enterprise IT, companies are moving beyond traditional automation toward Agentic AI systems designed to reason, adapt, and collaborate alongside human teams ...

The numbers back this urgency up. A recent Zapier survey shows that 92% of enterprises now treat AI as a top priority. Leaders want it, and teams are clamoring for it. But if you look closer at the operations of these companies, you see a different picture. The rollout is slow. The results are often delayed. There's a disconnect between what leaders want and what their technical infrastructure can handle ...

Kyndryl's 2025 Readiness Report revealed that 61% of global business and technology leaders report increasing pressure from boards and regulators to prove AI's ROI. As the technology evolves and expectations continue to rise, leaders are compelled to generate and prove impact before scaling further. This will lead to a decisive turning point in 2026 ...

Cloudflare's disruption illustrates how quickly a single provider's issue cascades into widespread exposure. Many organizations don't fully realize how tightly their systems are coupled to thirdparty services, or how quickly availability and security concerns align when those services falter ... You can't avoid these dependencies, but you can understand them ...

If you work with AI, you know this story. A model performs during testing, looks great in early reviews, works perfectly in production and then slowly loses relevance after operating for a while. Everything on the surface looks perfect — pipelines are running, predictions or recommendations are error-free, data quality checks show green; yet outcomes don't meet the ground reality. This pattern often repeats across enterprise AI programs. Take for example, a mid-sized retail banking and wealth-management firm with heavy investments in AI-powered risk analytics, fraud detection and personalized credit-decisioning systems. The model worked well for a while, but transactions increased, so did false positives by 18% ...

Basic uptime is no longer the gold standard. By 2026, network monitoring must do more than report status, it must explain performance in a hybrid-first world. Networks are no longer just static support systems; they are agile, distributed architectures that sit at the very heart of the customer experience and the business outcomes ... The following five trends represent the new standard for network health, providing a blueprint for teams to move from reactive troubleshooting to a proactive, integrated future ...

APMdigest's Predictions Series concludes with 2026 AI Predictions — industry experts offer predictions on how AI and related technologies will evolve and impact business in 2026. Part 5, the final installment, covers AI's impacts on IT teams ...

APMdigest's Predictions Series concludes with 2026 AI Predictions — industry experts offer predictions on how AI and related technologies will evolve and impact business in 2026. Part 4 covers negative impacts of AI ...

Novell Introduces ZENworks 11

The Industry’s First Unified Endpoint Management Solution

Novell is previewing Novell ZENworks 11, the industry’s first “single pane of glass” solution for endpoint management. Designed to address the rapidly converging markets of PC lifecycle management and endpoint security, ZENworks 11 helps enterprise customers lower the cost and risk of managing devices across physical, virtual, and cloud environments, while dramatically simplifying near-term needs such as Windows* 7 migrations.

Accompanying the ZENworks 11 preview is the release of Novell Service Desk, a new product which enables enterprises to centrally manage help desk incidents, improve customer service, and align with industry best practices such as ITIL.

ZENworks 11 represents an extensive upgrade to the Endpoint Management solutions from Novell and now includes four fully-integrated products in one unified platform: ZENworks Configuration Management, ZENworks Endpoint Security Management, ZENworks Asset Management and ZENworks Patch Management. This new platform delivers a single, integrated console and agent where IT administrators can manage desktops, patch applications, secure endpoints, and track software license compliance with the precise tools they need, exactly when they need them.

Key features of ZENworks 11 include:

- Unified Console and Agent: Enables administrators to use four key ZENworks products from the same easy-to-use, web console, leveraging a single adaptive agent, simplifying agent deployment and minimizing footprint on the endpoint device.

- Identity-based Management: Goes beyond managing physical endpoints, allowing IT administrators to understand the identity of users so those users get the precise applications and tools based on their roles and responsibilities, regardless of what device they use.

- Location Awareness: Gives organizations the ability to detect when users are outside of “safe” networks and utilizes policies to dynamically adjust user access and security postures based on where they are using their endpoint devices.

- Power Management: Enables administrators to implement policies to configure Windows power management settings and perform out-of-band power management tasks using Intel vPro.

- Expanded Platform Support: Now includes management of both Linux* and Windows endpoints from a single console.

The Latest

One of the earliest lessons I learned from architecting throughput-heavy services is that simplicity wins repeatedly: fewer moving parts, loosely coupled execution (fewer synchronous calls), and precise timing metering. You want data and decisions to travel the shortest possible path. The goal is to build a system where every strategy and each line of code (contention is the key metric) complements the decision trees ...

As discussions around AI "autonomous coworkers" accelerate, many industry projections assume that agents will soon operate alongside human staff in making decisions, taking actions, and managing tasks with minimal oversight. But a growing number of critics (including some of the developers building these systems) argue that the industry still has a long way to go to be able to treat AI agents like fully trusted teammates ...

Enterprise AI has entered a transformational phase where, according to Digitate's recently released survey, Agentic AI and the Future of Enterprise IT, companies are moving beyond traditional automation toward Agentic AI systems designed to reason, adapt, and collaborate alongside human teams ...

The numbers back this urgency up. A recent Zapier survey shows that 92% of enterprises now treat AI as a top priority. Leaders want it, and teams are clamoring for it. But if you look closer at the operations of these companies, you see a different picture. The rollout is slow. The results are often delayed. There's a disconnect between what leaders want and what their technical infrastructure can handle ...

Kyndryl's 2025 Readiness Report revealed that 61% of global business and technology leaders report increasing pressure from boards and regulators to prove AI's ROI. As the technology evolves and expectations continue to rise, leaders are compelled to generate and prove impact before scaling further. This will lead to a decisive turning point in 2026 ...

Cloudflare's disruption illustrates how quickly a single provider's issue cascades into widespread exposure. Many organizations don't fully realize how tightly their systems are coupled to thirdparty services, or how quickly availability and security concerns align when those services falter ... You can't avoid these dependencies, but you can understand them ...

If you work with AI, you know this story. A model performs during testing, looks great in early reviews, works perfectly in production and then slowly loses relevance after operating for a while. Everything on the surface looks perfect — pipelines are running, predictions or recommendations are error-free, data quality checks show green; yet outcomes don't meet the ground reality. This pattern often repeats across enterprise AI programs. Take for example, a mid-sized retail banking and wealth-management firm with heavy investments in AI-powered risk analytics, fraud detection and personalized credit-decisioning systems. The model worked well for a while, but transactions increased, so did false positives by 18% ...

Basic uptime is no longer the gold standard. By 2026, network monitoring must do more than report status, it must explain performance in a hybrid-first world. Networks are no longer just static support systems; they are agile, distributed architectures that sit at the very heart of the customer experience and the business outcomes ... The following five trends represent the new standard for network health, providing a blueprint for teams to move from reactive troubleshooting to a proactive, integrated future ...

APMdigest's Predictions Series concludes with 2026 AI Predictions — industry experts offer predictions on how AI and related technologies will evolve and impact business in 2026. Part 5, the final installment, covers AI's impacts on IT teams ...

APMdigest's Predictions Series concludes with 2026 AI Predictions — industry experts offer predictions on how AI and related technologies will evolve and impact business in 2026. Part 4 covers negative impacts of AI ...