The distributed smart computing environment is enlarging to include edge AI. Technology strategic planners should plan to tailor AI experiences across varying levels of technology maturity from cloud AI services, embedded AI frameworks to dedicated AI chips for machine learning at the edge.
Impacts and Recommendations
- The emergence of new offerings to deliver AI from the cloud to the edge is enabling next-generation approaches to smart distributed computing that technology strategic planners cannot ignore
- Easy-to-use cloud AI services can improve reach and functionality of devices and services for technology strategic planners
- The increasing number of AI-embedded frameworks for general purpose and prepackaged use will infuse devices with intelligence, but pose a challenge for technology strategic planners attempting to offer long-term differentiation
- Multiple players releasing dedicated AI chips for devices is causing the market to evolve, enabling technology strategic planners to more privately and efficiently run AI models at the edge
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