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
2026 GBS Key Issues
GBS leaders are moving past AI experimentation and delivering real performance impact in 2026. As workloads rise 15% while resources…
2026 GBS Key Issues
GBS leaders are moving past AI experimentation and delivering real performance impact in 2026. As workloads rise 15% while resources…
2026 Procurement Key Issues
Procurement leaders are turning AI into a measurable impact in 2026. Discover how leading organizations are improving performance as AI…
2026 Procurement Key Issues
Procurement leaders are turning AI into a measurable impact in 2026. Discover how leading organizations are improving performance as AI…
2026 Finance Key Issues
Finance leaders are turning AI into results in 2026. Discover how top organizations are improving performance as AI reshapes the…
2026 Finance Key Issues
Finance leaders are turning AI into results in 2026. Discover how top organizations are improving performance as AI reshapes the…
2026 Technology Key Issues
The Hackett Group’s 2026 Technology Key Issues Study shows a clear divide emerging – leading enterprises are redesigning workflows to…
2026 Technology Key Issues
The Hackett Group’s 2026 Technology Key Issues Study shows a clear divide emerging – leading enterprises are redesigning workflows to…