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How to Implement and Scale Python projects for Industrial IoT

About This Webinar

Learn how to prepare data, simplify deployment and scale your Machine Learning projects.

Python is an immensely popular programming language for data scientists and machine learning developers all over the world. Due to the less complex coding syntax, it lowers the entry for anyone that wants to apply logic to a data stream.

In this webinar, Crosser’s CTO Dr. Göran Appelquist will guide you through how to keep the momentum with your python projects. And radically simplify data preparation, test, deployment and scaling of your advanced analytics project using the Crosser low code solution.

Welcome to Crosser Webcast - Where Intelligent Integrations meet Enterprise Data.

  • Introduction to Crosser as a runtime and infrastructure for your ML projects
  • Resource handling and prebuilt code modules for distributed python projects
  • Data transformation and test of ML data flows
  • Deployment, updates and scaling of Python use cases for Industrial IoT
Who can view: Everyone
Webinar Price: Free
Featured Presenters
Webinar hosting presenter Göran Appelquist (
My career started in the academic world where I got a PhD in physics by researching large scale data acquisition systems for physics experiments, such as the LHC at CERN. After leaving academia I have been working in several tech startups in different management positions over the last 20 years. In most of these positions I have stood with one foot in the R&D team and another in the product/business teams. My passion is learning new technologies, use it to develop innovative products and explain the solutions to end users, technical or non-technical.
Hosted By
Crosser Webcasts webinar platform hosts How to Implement and Scale Python projects for Industrial IoT
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