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

Quick Win: AI-Chatbots in Production

Blogbeitrag - öffentlich

Quick Win: AI-Chatbots in Production

As an innovation incubator, we pick up on disruptive technologies at an early stage and match them with value-adding use cases. We have used the potential of large language models and complementary methods to develop an AI chatbot to support store floor employees in the efficient handling of technical documentation and operating manuals.

New partnership: MFS and inpro

Read in this blog post how the integration of Autodesk Moldflow with twino can further digitalize the engineering chain.

Start your digital innovation

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