Checklist for initiating scalable industrial AI solutions

Benefit from our expertise in the field of industrial AI and start your AI development with our extensive project experience and preconfigured and customizable shop-floor AI-tools. Our free checklist gives you a comprehensive overview of what you need to consider for the successful implementation and use of AI.

What you can expect from the checklist:

A comprehensive framework to assess scalability of AI use cases
33 key factors for implementation, derived from process frameworks such as CRISP-DM (CRoss Industry Standard Process for Data Mining) and TDSP (Team Data Science Process)
Specification of requirements for data, data modeling, AI deployment, maintenance and operation

”Overcoming the dual challenge of achieving industry-standard quality and scalable implementation is key to unlocking the full potential of industrial AI. This questionnaire, developed in collaboration with inpro, serves as a powerful tool to address scalability at every stage of the AI development process.”

Boris Scharinger, AI Strategist at Siemens Digital Industries

Engineering innovations in focus

Industrial Metaverse: Technology, use cases and partnerships

Blogbeitrag - öffentlich

Industrial Metaverse: Technology, use cases and partnerships

Read this blog post to learn how the Industrial Metaverse can help you plan, model and implement production processes faster and more accurately.

Innovation table: Smart CAE robotics

With the Innovation Table "Automation & Robotics", inpro has set a central topic focus for partnership innovation projects in the coming years. CAE solutions for the planning of intelligent robotic systems are an elementary component of the digital factory of the future and at the same time a prerequisite for more sustainable automotive manufacturing.

Start your digital innovation

We look forward to discussing your use cases with you and presenting our solutions!