With endpoint computing, users can access information and systems from any device, anywhere, in a continuous, contextual experience that adapts to devices they are using. Implementation of endpoint computing strategy in the age of the digital transformation goes beyond PCs and smartphones to embrace innovations like wearable, head-mounted displays, and IoT-instrumented environments.

If organizations want to establish a contextual, service-based delivery model, they are required to implement analytic systems for continual improvement of endpoint computing. They are also required to address the following questions:

• How can organizations take advantage of new devices and technologies to drive business advantage?
• What policies and tools are needed to be implemented for supporting initiatives such as bring-your-own to PCs, wearables, and Head Mounted Displays (HMDs).
• How an environment combined with Internet of Things impact endpoint interactions?

Infrastructure and operation leaders should develop their endpoint strategies with a clear vision of existing user preferences; have an understanding of how emerging technologies impact those preferences and business needs, and an acknowledgment of a shifting mix and how to time investments.

Best Practices in Implementing Endpoint Computing Strategy

1. Use analytics from endpoint usage and IoT-enabled environments for understanding habits of end-users and adapting delivery. Organizations can mine this data for providing insights into the broader business.
2. Build IT support for effective implementation of virtual personal assistants and conversational user interface. This will help in driving user productivity, thereby allowing for the development of new applications that can cater to the raft of incoming wearable devices.
3. Employ technologies like bots and artificial intelligence for automating user-centric support and user-facing tasks. By embracing these technologies, organizations can efficiently deliver and support endpoint computing.

I&O leaders should focus on applying Mode 2 methodologies to iterate constantly on new ways to deliver apps, data, and desktops, and to manage and support a growing number of increasingly diverse devices. If companies are able to master bimodal work styles, they can easily capitalize on new opportunities along with supporting existing fundamentals in a balanced manner across people, process and technology. By implementing these best practices, organizations can be empowered to modernize access and security and integrate new models for efficient desktop delivery.