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.
I have involved in couple of assessments over the adaptation of Robotic Process Automation for meeting Regulatory Compliance. It was a detailed analysis of existing processes for the RPA potential. I would like to share the some of the experience from the exercise.
As you must have noticed that Development of Machine Learning / AI projects largely aligned to specific groups inside the organization. Those who have specialized skills handle the development, testing and operationalization of the components.
Some two decades back when my sister, Meera was working for her Doctoral Thesis titled “ Gene Identification and Extraction for Salt Stress in Paddy Plants”, I was super excited with the topic as I knew salt stress tolerant species will help a lot to farmers.
For the past many days my wife has been complaining that her sacred plant (Tulasi – Scientific Name – Ocimum sanctum) is getting dried up due to intense heat. Thanks to urban heating effect. She tried many ways of managing the plant but her busy schedule always hinder in getting real time view of the moisture level and other conditions. I was teased to find a solution to resolve this given that I spend time with IoT and Data Science or Big Data jargons. I tried a variety of tools starting with Moisture sensors, NoIR for NDVI calculation to TensorFlow based image classification to come of with solution.
On Day to day basis farmers needs weather insights as well as storage conditions at various storage units. They need real time insights on different agriculture related information. One of the options is for a tailored virtual assistants which can interact with users and internet sites on a regular basis giving insights.
More than a decade ago I worked on a topic named Real Time Remote Monitoring of Pollution for my Doctoral Thesis. At that time Big Data technologies and advanced sensors were not available. It took sometime to come up with the monitoring system.
In my last blog, I wrote about how the future might be impacted with the use of digital technologies. I am asked if I can provide couple of examples around technical details on how to manage Service Delivery using these recent technologies. Here’s a overview of the technical examples of Digital technologies namely Robotic Process Automation, AI/ML.
The recent technological innovations are very exciting and show a very promising trend for managing the System Operations on a day to day management of systems. The key Service Delivery is going to be changed by the implementation of digital technologies. Here are few possibilities which might impact the service delivery of ERP systems in years to come.
Regulatory landscape is rapidly changing over the years including the customer expectations and customer’s internal and external regulatory standards. These and many others are imposing costs on the companies manufacturing products in terms of product recalls for failed products which are contaminated with restricted substances or delays in procuring the right quality of material to manufacturing the products and so on.
Few days back I have read that one of the projects has failed as users were not happy with the outcome of the project and the way they were managing their current processes. It is not just this example, almost some percentage of projects fail in IT as the users do not find the results relevance for the problem initially in their mind.