Edge AI
Edge AI processes artificial intelligence (AI) tasks directly on devices at the edge of a network – such as smartphones, sensors or Internet of Things devices – without relying entirely on cloud servers. By running AI models locally, it enables faster response times, reduces latency, improves data privacy and supports real-time decision-making without constant data transfer to a central system.
Related Insights
Where AI Investment Starts Paying Off
AI investment is accelerating, but adoption alone is not driving performance. AI World Class IT research shows how leading technology…
Making AI Pay Off in Finance
At a recent executive roundtable hosted by The Hackett Group® in London, senior finance executives from a cross-section of industries…
Talent Acquisition Vendor Assessment – Summary Report
AI and automation are reshaping recruiting, but vendor capabilities and business impact vary widely. This report assesses 12 talent acquisition…
Talent Acquisition Vendor Assessment – Full Report
Choosing the wrong talent acquisition platform can increase cost, add complexity and limit recruiting impact. The full report shows how…