The convergence of AI and industrial automation

How to create value from machine data

The convergence of AI and industrial automation: how to create value from machine data

Artificial intelligence (AI) or machine learning (ML) processes enrich automation technology with new possibilities. They pave the way for new applications and enable a different way of handling large amounts of data. Discover technologies, application scenarios and products for the successful implementation of AI projects in industry in a joint webinar series by Beckhoff and Tvarit.

Part I
Tuesday, September 28, 2021 at 09:00 a.m. and 05:00 p.m. (UTC+2)

AI in Industry: applications, values and the idea of data driven projects

  • Introduction to AI
  • Value of AI in industry
    • e.g., reducing scrap rates, recording anomalies, optimizing energy consumption to meet CO2 emissions standards in manufacturing and realizing smart production planning
  • Application examples accompany the talk focusing on data-driven projects
  • We provide insights in how to implement a successful AI project
  • Detailed insight in an exemplary, successful AI project for Low Pressure Die Casting (LPDC)

Part II
Thursday, September 30, 2021 at 09:00 a.m. and 05:00 p.m. (UTC+2)

AI in Industry: technologies, tools and applications

  • Introduction to TwinCAT and AI tools for implementing, testing and deploying AI models
  • Best practices, flexible tools, and application-specific products to meet the special requirements of AI projects
  • Application examples accompany the talk focusing on tools used and their implementation on the shop floor
  • Detailed insights in an exemplary, successful AI project with focus on learning processes

At the end of each lecture, you will have the opportunity to take part in a live Q&A session with the speakers using the provided chat function.

Participation is free, but registration is required. The lecture language is English.

We look forward to your registration!


Beckhoff Automation:

Dr. Fabian Bause has been working in TwinCAT product management at Beckhoff for more than five years. His fields of activity include machine learning, the integration of LabVIEW™, MATLAB® and Simulink®, and real-time signal processing.

Tvarit GmbH:

As founder of Tvarit GmbH, Rahul Prajapat envisions reducing production downtime to 0 for Tvarit customers by utilizing Industry 4.0 and AI technologies. Through his work Tvarit customers have already saved more than €14 million. His experience covers various aspects of digitizing production facilities, such as methods for reducing scrap rates and optimizing energy or improving tool tracking as well as unplanned breakdowns.

Tvarit GmbH:

As Customer Success Manager, Tobias Gundermann guides customers through the successful application of manufacturing process-specific AI solutions offered by Tvarit in the metal industry (e.g., die casting, cold forming, welding, machining). His expertise lies in understanding customers problems and proposing digitalization solutions bringing up to 35% reduction in metal scrap rates.