SaaS analytics has progressed from rear‑view reporting to forward‑looking, assistive intelligence. The arc: instrument clean product telemetry → unify business data → enable self‑serve BI → run trustworthy experiments → operationalize ML predictions → embed AI copilots that act—with strong governance and measurement at every step. Why the shift is happening Capability ladder: BI → … Read more
Quantum computing won’t replace classical cloud any time soon, but it will increasingly augment SaaS with niche, high‑impact capabilities delivered “as a service.” The near‑ to mid‑term path is hybrid: classical preprocessing and postprocessing wrapped around quantum routines accessed through cloud APIs. The practical impact shows up first in optimization, simulation, secure cryptography transitions, and … Read more
SaaS is increasingly embedding predictive maintenance (PdM) to turn raw operational data into earlier warnings, fewer failures, and higher asset uptime. By unifying telemetry, models, and workflows in the cloud, vendors help customers shift from reactive/break‑fix and fixed schedules to condition‑based and predictive interventions—improving reliability, safety, and margins. What’s driving adoption now What great PdM … Read more