Infosys TechCompass

Device infra and life cycle management

Trend 3: Organizations shift toward sustainable hardware approaches

Sustainable hardware is central to organizational strategies. Pure device as a service (DaaS), which includes comprehensive device life cycle management, has become standard practice. Organizations are now embracing ecofriendly practices throughout the hardware life cycle, from procurement to disposal. This approach is crucial for enterprises aiming to lower emissions and achieve net-zero targets.

Enterprises committed to ESG principles, such as Infosys, have established a circular economy framework. This includes global supply chain access to fulfill extended producer responsibility, circular product design, digital tools for circular practices, performance measurement, learning platforms for sustainable solutions, reverse logistics for waste return and recycling, and carbon and environmental footprints to support sustainable business practices.

Device infra and life cycle management

Trend 4: Intelligent, responsive AI-driven applications draw interest

AI can analyze user requirements and optimize device settings and resources through intelligent provisioning, where user behavior analytics and personalization tailor device experiences based on individual preferences and usage patterns. AI also detects threats, anomalies, and policy violations, initiating appropriate response actions. While some of these capabilities are evolving, they enable more efficient operations, improved security, and enhanced user experiences by minimizing manual efforts, reducing downtime, and optimizing device performance and configurations throughout the device life cycle.

A new generation of computing devices equipped with dedicated neural processing units (NPUs) handle computationally intensive tasks associated with AI workloads, such as deep learning, computer vision, and NLP. These devices boost productivity by managing edge computing, content creation, gaming, and scientific research. They enable advanced AI capabilities at the edge, streamlining tasks such as rendering, AI model training, immersive gaming experiences, and accelerated scientific simulations.