November 24th
Using AI to reduce energy usage in Smelters
In this webinar, we will look at how AI and digital twin technology to are used to build accurate asset models and process advisories in order to reduce specific power consumption at the highly energy intensive aluminum smelters.
Panelist: Arjun Bhattacharyya - Senior Vice President, AI Platform and Applications Business • Product Engineering
December 1st
Accelerating Glass Furnace Performance with AI
In this webinar, we will look at how advanced AI and machine learning models are combined with forecasting models and optimizers to improve melting furnace operations for improved yield and energy management in glass manufacturing.
Panelist: Prashant Srinivasan - Senior Principal, AI • Product Engineering
December 8th
Reducing machine faults by as much as 90%
In this webinar we will discuss a case study that demonstrated a 90% reduction in priority repair actions with advanced diagnostics and collaborative reporting.
Panelist: Michael DeMaria - Director, Product Mgmt & Training • Sales
December 14th
The Digital Journey
In this two-session Digital Manufacturing Talk for Asia-Pacific audiences, we will explore where your company is on their digital journey and the best ways to move forward. We’ll discuss how to put a plan together and what should go into that plan.
Session 2 will explore ways to get the most out of the plan and applications that you currently have today.
December 15th
AI For Optimal Plant Sustainability
In this webinar, we will look at how advanced AI and machine learning models are combined with mass-energy balances to streamline furnace and boiler operations for reduced emissions and improved energy management. A sustainability calculator will be presented.
Panelist: Arjun Bhattacharyya - Senior Vice President, AI Platform and Applications Business • Product Engineering
January 5th
Process Anomaly Prediction with AI & Domain Knowledge
In this webinar, we will examine how AI and domain-centric first principles hybrid models can be built and run continuously online to detect early onset of process conditions and mitigate circumstances for unplanned outages in large chemical plants.
Panelist: Sudhanshu Kashyap - Principal Data Scientist • Product Engineering
January 12th
Best Practices for Automated Vibration Analysis
We will discuss the growing volume of industrial data, leveraging technology and expansive data lakes to train models faster, and closing the loop to ensure accuracy and effective insights of your PdM program.
Panelist: Michael DeMaria - Director, Product Mgmt & Training • Sales
January 19th
Digital Twin Builder – Self Service
In this webinar, we will demonstrate how a digital twin model builder can enable domain users to build in a visual drag-and-drop mode state-of-the-art AI-based predictive models for asset anomaly detection and process performance.
Panelist: Tanmay Agarwal - Data Scientist • Product Engineering
