Eight Key Edge Computing Trends in 2021

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Moving data infrastructure, applications, and data assets to the edge can provide faster response to business needs, increased agility, greater business scalability, and better long-term resilience.

“Edge computing is more important than ever and is becoming a key driver for organizations betting on new cloud products or services that leverage local processing, storage, and security capabilities at the edge of the network via billions of intelligent objects known as edge devices,” says Craig Wright, managing director of business transformation and outsourcing at consulting firm Pace Harmon. He says the edge will gain increasing attention in 2021 as autonomous vehicles become more common, new post-Covid ways of working require more distributed computing and data power and must be free of crippling latency, and the adoption of 5G drives a whole new generation of augmented reality, real-time applications, and gaming experiences on mobile devices.

Noting the continued advancement of edge computing capabilities, Forrester analysts said in their recent report, “Predictions 2020: Edge Computing,” that it’s time to ramp up investments in edge computing. As edge computing becomes increasingly important to business strategies and operations, IT leaders should keep an eye on the following trends in the year ahead.

1. Edge will evolve side by side with AI/ML
Until recently, data preprocessing using near-edge paraguay mobile database or gateways faced a number of challenges due to the growing complexity of data processing solutions, especially in cases with large numbers of events or limited connectivity, says David Williams, head of practice at digital business consultancy AHEAD. “Now, AI/ML-optimised hardware, containerised analytics applications such as TensorFlow Lite and tINYL, and open standards such as the Open Neural Network Exchange (ONNX) are encouraging ML interoperability and making ML and data analytics at the edge a reality.”

Machine learning at the edge will enable faster decision making. “Moreover, the combination of edge and AI will enable greater personalization in real time,” predicts Mukesh Ranjan, practice director at consulting and research firm Everest Group.

“But without proper threshold controls, anomalies can become the norm,” says Greg Jones, CTO of IoT solutions provider Kajeet. “Advanced policy controls will help increase trust in the actions that result from data collection and interpretation at the edge.”

2. Cloud and edge solution providers will partner