End Point Computing

Endpoint Computing

In order to guarantee operational consistency for customers in the VCU community, Endpoint Computing is a high-performing, customer service-driven group that designs, implements, and supports endpoint computing, device infrastructure tools, and services. The team will also work with other tech groups to create, implement, and support products for VCU Technology Services that are enterprise-wide as well as provide departmental IT support as needed.

Users can access data and systems utilising endpoint computing from any location and on any device, providing a continuous, contextual experience that adjusts to the device they are using. In the era of digital transformation, endpoint computing strategy implementation extends beyond PCs and smartphones to incorporate new technologies like wearables, head-mounted displays, and IoT-instrumented surroundings.

Organizations must put in place analytic systems for ongoing endpoint computing enhancement if they wish to create a contextual, service-based delivery model.

They are also required to address the following questions:

  • How can businesses benefit from new gadgets and technology to boost their competitiveness?
  • What regulations and procedures should be put in place to accommodate initiatives like bringing your own PC, wearable technology, and head mounted displays? (HMDs).
  • How do endpoint interactions change when the Internet of Things is present?

Infrastructure and operation leaders should create endpoint strategies based on a clear understanding of current user preferences, an appreciation for the impact of emerging technologies on those preferences and business requirements, a recognition of a shifting mix, and an understanding of when to make investments.


  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.
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