Information Synthesis Jacob Scanlon is a consulting specialist with more than ten years of experience in the commercial sector and government agencies. He graduated from the engineering school at the University of Virginia with a Masters’ in Machine Learning and Predicting Artificial Intelligence (AI). The interviewee’s research focused on text mining, which a special case of data mining. Data analytics is the basis for developing AI technology based on compiling data, which may involve various steps, such as converting into the count of specific phrases or words so that the machine can understand them as numbers. Speaking of clients, Scanlon clarifies that some companies have an extensive IT infrastructure and funds to support it, for instance, Capital One can be noted as an organization that has several groups, including IT teams working on analytics. Factories also have a lot of machines that create products and collect raw data every second in the form of petabytes. Data analytics impacts many industries, among which there is energy, the Internet of Things (IoT), traveling, military, insurance, safety, and so on. The technologies of the IoT are now radically changing the world, and these changes concern not only high-tech industries or infrastructure but also everyday life. For example, the interviewee mentions that a car breakage can be predicted, and its owner can be notified about the opportunity to bring it to the service in advance, which allows saving customers’ money. Another example refers to the energy company performing in South Africa that saved $1 billion due to predictive maintenance. The use of central computers and data delivery promotes controlling peripherals either directly or via service terminals. Some companies already have essential experience with data analytics integration into their processes. In this case, as stated by Scanlon, his role is mainly associated with training engines to make them perform their specific modeling (Appendix 1). People have general knowledge about data mining, even though their companies have analytics. Nevertheless, the consultant can assist them in finding answers to the existing questions based on their products in terms of a cluster model. This is possible due to the implementation of chasing projects, one of the platforms for which is Aster Analytics that providers a suite for businesses, including modules and instruments to gain relevant insights during the whole data analytics lifecycle. The issue of security is highlighted in the given interview as an integral part of the ongoing technologic improvements and the threat of data use by unauthorized parties. In particular, Scanlon clarifies that insurance companies have the most advanced protection mechanisms to avoid trials, yet they collect the personal medical data of their customers. There are several data regulation policies, such as the California Consumer Privacy Act or the General Data Protection Regulation (GDPR) that was elaborated by the EU. In many cases, the companies try to meet their just minimum requirements. Interesting Points One of the most thought-provoking points noted in the interview refers to the fact that Scanlon works on machine learning every day (see Appendix 2). It is stated that pre-processing takes a great part of AI since the machine needs a special language to understand what it should do. In other words, it is not enough to merely request one or another