The early days of cloud computing felt boundless. Freed from the limitations of on-premises servers, developers could build exciting new products and services tethered only by their imagination. Unconstrained by bureaucratic processes governing resource utilization, software engineers enjoyed an infinitely scalable palette that could seemingly manifest exactly what they needed
“products and services that rely on machine learning – computer programs that constantly absorb new data and adapt their decisions in response – don’t always make ethical or accurate choices. sometimes they cause investment losses, for instance, or biased hiring or car accidents. and as such offerings proliferate across markets,
To quickly choose ads for the right apps, provide attribution for app downloads, provide location based ads, and to identify fraud are all areas in which machine learning’s ability to analyze large volumes of data can have an impact.