The gap is widening between those with a handle on their AI strategy and those only scratching the surface of its potential.
We are in the midst of the AI revolution. A recent report by PwC and another by McKinsey both place AI as the biggest commercial opportunity for “companies and nations” over the coming decades. 30% of businesses are already conducting AI pilots, and nearly half are using AI capabilities within at least one standard business process — up from 20% in 2017.
Cloud-based service provisioning has entered the machine learning ecosystem, and the outcome is MLaaS. The long and the short of it is that machine learning-as-a-service is exactly what it sounds like — it's the delivery of accessible, hosted and subscription-based machine learning tools that are ‘ready-to-go’. But is MLaaS right for you? And is there more to understanding the nuance of MLaaS?