Developer Playbook: Mobile Computer Vision in a 90 Day Pilot
Yes, you can run computer vision on-device for most real-time mobile tasks, and for the majority of production apps, you should. Lightweight models like MobileNet…
Yes, you can run computer vision on-device for most real-time mobile tasks, and for the majority of production apps, you should. Lightweight models like MobileNet…
AI can score a mobile payment in under 100 milliseconds and decide whether to approve it, challenge it, hold it, or decline it. If I…
AI-powered ETA prediction uses real delivery outcomes plus live telemetry to forecast arrival times more accurately than carrier tables or static rules ever could. It…
If your API cache runs on more than one node, local delete logic is not enough. I’d use a layered setup: event-driven invalidation to spread…
Build a prioritized, portfolio-driven AI implementation roadmap: pick measurable business outcomes, run structured 90-day pilots against those outcomes, and fund data, governance, and platform work…
If I had to sum it up in one line: Edmonton mobile apps work best when they match the job, not when they pile on…
Mobile workforce analytics turns scattered location, time, and job data from your deskless teams into scheduling and staffing decisions that cut overtime, shrink idle hours,…
Image recognition helps businesses turn photos, scans, and video into data that can move work forward. In this article, I show how it is used…
Predictive maintenance is worth pursuing now if you have assets where unplanned downtime is expensive and you already have some data connectivity to work with.…