How to get artificial intelligence to the edge



Leading enterprise technologies such as hybrid clouds, and containers are driving digital change Artificial intelligence. Acceleration is added 5G, which adds decentralization information and application processing from millions of endpoints outside the traditional data center and audience cloud.

About the author

Sam Werner is Head of Bid Management, IBM Systems.

But while change and modernization increase a company’s performance, efficiency, and agility, these increasingly complex infrastructures also make it difficult to manage and access information, especially in artificial intelligence workloads. For example, capturing data from the edge of the network, not to mention data from external sources, usually means transferring and copying data – a process that is not only time consuming and expensive, but also brings new levels of risk, management and safety challenges.

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