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Why edge AI is becoming mission critical

Fresh insights from Techstrong and Latent AI show that more organizations are embracing edge solutions, drawn by their impressive speed and dependability.

 

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Highlights from the report

Forget cost-cutting—edge AI’s surge is all about power under pressure. Techstrong’s research reveals clear priorities.

 

 

Performance takes top priority

A significant shift in AI priorities: 51% of organizations now rank performance (speed, latency) as their top AI requirement.

Instant insights drive demand

43% of organizations demand instant insights driven by AI processed at the edge–without network delays—perfect for manufacturing, autonomous tech, & CX. 

Reliability fuels shift from cloud to edge

When uptime counts, 39% of organizations are moving beyond the cloud to cut failure risks from cloud outages & bandwidth hiccups. 

Customization meets critical needs

A resounding 95% of organizations require customized solutions, tailored to their unique challenges, and mission-critical use cases.

Better edge tools are in demand

Over half of the organizations are unhappy with current edge AI tools, signaling a desperate need for better solutions to unlock edge potential.

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expert insights

Why edge AI matters now

“Edge is all about customization. It’s about finding the right intersection of technology to solve your use case.
Dell technologies logo
Tyler Cox

Distinguished Engineer at Dell Technologies

“Developers want to focus on solving their unique use cases, not handling repetitive tasks. By identifying common processes, we can simplify customization and drive edge AI adoption.”
Jags Kandasamy

CEO and Co-Founder of Latent AI