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.

Agenda

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

Dr. Göran Appelquist

CTO

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.

VIEW PROFILE

Hosted By

Crosser Webcasts

In a length of a coffee break, Crosser Webcasts will serve you insights and demos regarding Stream Analytics & Integration technologies, use cases and business cases.

For those who don't have time for coffee, we suggest you sign up for the webcast of your interest to get access to the recording afterwards.

VIEW CHANNEL CONTACT

Attended (16)

Recommended