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Business Users and Machine Learning in Oracle Analytics

Analytics and Data Oracle User Community ( AnDOUC ) Winter TechCast Days  took place between 15th and 17th Februrary 2022.  I am very honoured to make a small contribution at the  Machine Learning Day  where I presented my view on what business users should know about machine learning support in Oracle Analytics, presentation with the title  Business Users and Machine Learning in Oracle Analytics . Business Users and Machine Learning in Oracle Analytics Traditionally, the use of machine learning is in the domain of the data scientist. The latter has in-depth knowledge of machine learning methods and algorithms and strives for the most optimal preparation of machine learning models, which are then used for various analyses such as predictions, customer segmentation, anomaly detection, finding patterns and the like. Because the machine learning process usually takes a long time, even a few weeks, the data scientist is a rather “rare species”. Business users usuall...

Working with Graph in Oracle Analytics - Intro

You can find the following definition about Graphs and Graph theory on Wiki :  In mathematics, graph theory is the study of graphs, which are mathematical structures used to model pairwise relations between objects. A graph in this context is made up of vertices (also called nodes or points) which are connected by edges (also called links or lines). A distinction is made between undirected graphs, where edges link two vertices symmetrically, and directed graphs, where edges link two vertices asymmetrically. Graphs are one of the principal objects of study in discrete mathematics. In essence, graphs are used to model various types of relationships. In case of business analytics, graphs can used in sales and marketing departments to perform recommendations of the products to particular group of customers that are somehow related to some other group of customers, in manufacturing they can be exploited to manage inventory more effectively due to better planning of materials and semi-pr...