Artificial Intelligence and Data Analytics 3.1 Series

The Artificial Intelligence and Modern Business course is an introductory course that begins by explaining general concepts around Artificial Intelligence (AI). The second module explains AI's advantages and disadvantages along with considerations around ethics, security and regulation. The last module focuses on AI's place on the mainframe covering topics around how AI can be used to assist in modernizing applications, help solve business problems using AI modelling, its use in various mainframe products such as Db2, and improve workload management.

This course is designed to introduce and guide the user through the three phases associated with big data - obtaining it, processing it, and analyzing it. The Introduction to Big Data module explains what big data is, its attributes and how organizations can benefit from it. It also provides a snapshot of job roles, and available certification and training, in order to forge a career in big data. The Hadoop Fundamentals module explains how the Apache Hadoop environment is designed to store and process big data, and introduces Apache products such as MapReduce, YARN, Apache Spark and Tez.

This Basic Analytics module provides an overview of different types of analytics and describes how organizations can benefit from using them. The second module describes the IBM Z Platform for Apache Spark (z/OS Spark) used for z/OS data analytics.