March 2026 Summaries

The rapid expansion of self-service kiosks in the restaurant and retail industries highlights the importance of robust infrastructure and fleet management, as businesses increasingly become technology-driven entities. With projected growth from $16 billion to $45 billion by 2030, kiosks are proving to be lucrative but complex investments, requiring remote diagnostics, over-the-air updates, and effective fleet-level visibility to avoid revenue loss during high-traffic periods. Simultaneously, as AI integration accelerates in retail environments, organizations must cultivate a resilient culture that effectively manages incidents and technological failures, emphasizing swift decision-making and clear team dynamics. This evolving landscape, coupled with security concerns over outdated edge devices, prompts a strategic focus on lifecycle management and proactive measures to ensure both operational efficiency and data security. Companies are encouraged to inventory their devices, anticipate end-of-support timelines, and explore innovative solutions like installing custom operating systems to extend hardware usability and safeguard customer information.

In the evolving landscape of edge device management, achieving end-to-end update automation is crucial to ensure these devices fulfill their critical roles in business operations by 2026. The process begins with automated enrollment and provisioning, which streamlines device onboarding and reduces human intervention, enabling scalability. Desired state management introduces consistency through policy-based configuration and group-based orchestration, ensuring all devices adhere to intended behaviors. API-driven deployment aligns edge device updates with CI/CD principles, offering control over software rollouts and enabling rapid deployment and rollback. Observability and intelligent alerting provide real-time insights and reduce alert fatigue, ensuring administrators are informed of key issues without unnecessary noise. The comprehensive approach, integrating these elements from provisioning to telemetry, creates a robust framework for managing edge devices effectively, minimizing risks, and maximizing operational efficiency.

Enterprise software that is "included at no extra cost" often appeals to organizations, especially in the realm of Windows device management, where Microsoft Intune is a common choice bundled with Microsoft licensing packages. However, these free or bundled mobile device management (MDM) solutions can lead to hidden costs as organizations grow, such as increased downtime, operational inefficiencies, tool sprawl, security and compliance gaps, and migration difficulties. While these MDMs may start as cost-effective solutions for small device fleets, they are not optimized for large-scale or specialized use cases, resulting in additional expenses for IT teams managing complex and highly-scaled device ecosystems. The article argues that investing in purpose-built, enterprise-scale MDM solutions can ultimately save money by providing unified control, deep automation, seamless software deployment, and remote-native capabilities, which are crucial for efficient and effective device management. By recognizing the limitations and hidden costs of "free" MDM solutions, organizations can make informed decisions to ensure the long-term success and scalability of their device management strategies.

Apple Business Manager (ABM) allows the same location token to be used across multiple Mobile Device Management (MDM) systems, which can lead to app update failures despite successful installations. This is due to Apple's design that doesn't coordinate license activity between MDMs, leading to potential conflicts when two MDMs manage the same license pool. The solution is a clean migration of the location token, involving revoking licenses, removing the token from the old MDM, and uploading it to the new one, or ideally, using a dedicated ABM location per MDM to avoid shared token issues. This flexibility is intended to support various enterprise needs but requires intentional architecture decisions to prevent the subtle conflicts that can arise when multiple MDMs are involved.