Get more value from distributed data

Edge computing treats data at the edge as one continuous, highly distributed source, enabling data to be treated in situ, and by leaving the data in place, all combined locations can be treated as one "cloud" occupying many points around the edge. The next step for data-driven enterprises is to utilize hyper distributed edge computing options rather than send data to the centralized cloud for analysis or storage.

The benefits of becoming a more data-driven enterprise include improved business processes, enhanced customer engagement, and improving employee productivity. However, challenges in integrating new infrastructure and processes with existing architectures often cause the need to reconcile data from disparate endpoints.

Read the brief to learn more about these key business impacts:

• Data sources are multiplying from IoT and edge infrastructure
• AI motivates more thorough usage of  data and closer proximity to the user allows results to be delivered in near real-time
• Public cloud can create obstacles like data silos and migration challenges
• Enterprises can employ the edge as a tool to convert data into business outcomes