Indian Chemical News (ICN), the most credible online media platform for the Chemicals, Petrochemicals, and Energy sector, is organizing CIO Connect 2024, a daylong Summit (2:00 PM - 10:00 PM) at Novotel Mumbai International Airport on November 29 on Connected Chemical Plant and Industry 4.0 in association with Aveva and Grassdoor Logistics Technologies. 

Please register for CIO Connect 2024 by clicking on the link (https://www.indianchemicalnews.com/connected-chemical-plant-and-industry/register.php). 

The Summit has a Panel Discussion on "Harnessing Data Analytics and ML for Predictive Maintenance and Process Optimization in Chemical Plants" from 6:50 PM - 7:50 PM. 

Speakers for the panel discussion are: Ajay Bageshwar, Head - IT, Godavari Biorefineries; Namrita Mahindro, Chief Digital Officer, Aditya Birla Chemicals; Krishnakumar Pandey, Head - IT, Epsilon Carbon; Ashima Bajaj Seth, Chief Digital and Information Officer, Godrej Agrovet; Rajeev Raval, VP and Head of Digital Productivity, SML; Sachin Khamkar, Senior IT Manager - India, Clariant. The panel discussion is moderated by Pravin Prashant, Executive Editor, Indian Chemical News. 

This objective is to familiarize Senior Executives in the Chemical and Petrochemical sector with cutting-edge solutions which empower global leaders to streamline production processes, reduce costs, and meet ESG (Environmental, Social, and Governance) goals. 

Harnessing data analytics and machine learning (ML) for predictive maintenance and process optimization in chemical plants is a powerful strategy that can significantly enhance operational efficiency, reduce downtime, and improve overall productivity. 

Key Discussion Points are: Data Collection, Integration, and Pre-processing; Predictive Models, Condition Monitoring, and Failure Prediction; Real-time Data Analytics, Advanced Process Control, and Scenario Analysis; Implementation of Machine Learning Techniques; Visualization and Dashboards; and Feedback Loop and Measuring Impact.

 Chemical plants can transform their maintenance strategies and optimize processes to enhance efficiency and reliability. The digital approach not only minimizes unexpected downtime and operational costs but also fosters a proactive culture of continuous improvement, ultimately leading to increased competitiveness in the market. As technologies evolve, the integration of predictive maintenance and process optimization will become essential for modern chemical manufacturing operations. 

The session will highlight how chemical companies can use AVEVA PI's data analytics and machine learning capabilities to enhance predictive maintenance and optimize processes. 

The day-long event focuses on showcasing AVEVA’s suite of digital transformation tools which can revolutionize manufacturing operations, enhance productivity, minimize risks, drive operational excellence, and enhance efficiency across the chemical and petrochemical plants. The topics will be covered through a series of presentations, case studies, and interactive panel discussions, helping participants gain deeper understanding of the practical applications of AVEVA technologies and how they are being leveraged to address today’s industrial challenges.