As AI becomes embedded in everyday enterprise workflows, how are organizations rethinking endpoint operations to support faster, more predictive IT - and what role do real-time insights and automation play in improving productivity, reducing downtime, and enabling better employee experiences?
Modern IT teams are expected to deliver consistent, high-quality digital employee experiences across increasingly distributed and diverse device environments. Yet some of the most disruptive performance and reliability issues - such as thermal stress, power inefficiencies, and hardware‑level contention - originate below the operating system and remain invisible to traditional tools. As a result, organizations are often forced into reactive support models, learning about issues only after users submit tickets, productivity is already disrupted, and critical diagnostic context is lost.
This session will explore how organizations eliminate this visibility gap by combining silicon anchored, on-device intelligence with real‑time Digital Employee Experience (DEX) analytics and agentic AI. The discussion will focus on how continuous, non‑intrusive endpoint insights enable earlier detection of degradation, stronger incident response, and automated, policy‑driven remediation - before issues impact active work. Attendees will examine how AI is accelerating expectations for autonomy and efficiency in IT operations, while also introducing new layers of complexity. To succeed in an AI-driven IT environment, IT teams must rethink how they maintain visibility, validate decisions, and respond to issues across increasingly dynamic endpoint environments.
Join Intel and ControlUp for an interactive roundtable to discover a new operating model for endpoint operations. Learn practical, immediate strategies to close the loop between deep telemetry and autonomous execution, ensuring your digital workspace stays optimized.
Speakers
Oscar Badillo
Marcel Calef
Discussion Topics
How do you currently measure endpoint success - number of incidents resolved, or employee experience maintained - and where does that model fall short?
What types of device issues are hardest to detect today (thermal, power, battery, performance), and how often do you only learn about them after users are impacted?
During large‑scale incidents or “Blue Friday”‑type events, what slows down triage and resolution the most - lack of visibility, root cause analysis, prioritization, or automation?
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