The Need for Open Source at the Edge (eBook)

The report finds that edge computing offers variety of benefits, including improved speed, reduced latency, enhanced data security, and enhanced reliability.

Lower latency services such as IoT, 5G, and video streaming are behind much of the edge data center market’s growth.

Manufacturers need to develop smart home products built upon a foundation of genuine intelligence and independence. Distributed intelligence imbues devices with these qualities almost by design, helping developers to accelerate the journey into an exciting new era.

A new study by the ITU found 2.9 billion people are without internet access worldwide, with a majority of them located in developing countries.

Organizations that treat AI as a standalone initiative see incremental results. Those that treat it as a data architecture transformation, however, unlock sustained performance improvements.

Drone programs have already proven their value as a data collection tool across construction, agriculture, energy, and infrastructure. The next frontier is making that data work harder.

For AI to work in production, models are not enough. Systems need access to current, external information that can be used directly in decision-making.

For AI workloads operating at scale, implementing storage solely based on performance benchmarks does not reflect real-world operating conditions.