Simple BI tools are no longer capable of handling this huge volume and variety of data, so more advanced analytical tools and algorithms are required to get the kind of meaningful, actionable insights that businesses need. To keep pace with demand for insights that can drive quicker, better decision making, data scientists are looking to AI, ML and cognitive computing technologies to take analytics to the next level. This report examines how machine learning as a service is democratising access to ML, making it less complex and costly to use.
Source: https://www.idgconnect.com/resources/230389/ai-for-all-machine-learning-as-a-service
