Automated machine learning is continually gaining increased exposure, yet there still seems to be some confusion as to what automated machine learning actually is. Is it the same thing as automated data science? Let's start by looking at what data science and machine learning are, as they are defined independently of one another. Data science is the application of the scientific method to the very broad concept of extracting knowledge and insight from data. Just think about how broad and inclusive this description is.

Machine learning looks for changes in data patterns. This level of knowledge and insight into industrial operations enables facilities managers to gain greater control over the environment with a greater ability to predict when equipment failure may occur, allowing them to initiate pre-emptive repair and maintenance measures prior to failure. There is much knowledge and insight to be gained from machine learning systems and great benefit realized from its use. In this paper we present some steps to take when considering incorporating industrial machine learning as part of your information management ecosystem. Download this FREE tipsheet to learn how to get started.

Much of the sales process is about making effective use of information about existing and potential customers. But often that knowledge isn't easily accessible and therefore not used effectively. A new platform from sales transformation specialist Altify aims to give B2B sales teams real-time visibility into the process based on stored knowledge and its built-in contextual insight engine. Called Altify Max it monitors what is happening in the opportunity, the account, and the pipeline and forecast, assesses the impact, and notifies the salesperson to act with a suggested measure. Max has 30 years of deep sales knowledge and insights built in to the software, and customers can extend and customise the knowledge with their own insights.