Sometime back I wrote a blog on Use of AI / ML for managing Incident Management, it has received good response. I have received many requests to know in detail on how to implement the same and details surrounding it and some even requested me to share the source code. In this current blog and series of upcoming blogs I would like to share some short course on Introduction to Data Science and how it is used for managing the EHS issues. There are many relevant issues which can be solved using AI / ML, be it Descriptive Statistics, Predictive Analysis of incidents / exceptions for air permits or equipment based pollution deviations or even customer / supplier perception of the risks around the products being sold by the organization, automatic classification of dangerous goods based on past history, prediction of product compliance based on source and many more proprietary uses.
There has been some changes happening in the field of SAP EHS being it introduction of S/4HANA; S/4HANA Cloud based EHS solutions. Be it Business Suite applications or Product Compliance suite for S/4HANA Cloud, it is changing the way the EHS is working till now. In this short video I tried to give an overview on different EHS business processes covering all modules of EHS which have been introduced till date excepting for modules like SAP Carbon Impact 4.0 or Tools like Document Analyzer, Web based MSDS hosing, SAP Product and REACH compliance, CfP, Data Editor etc.