About this webinar
Industry 4.0 is a long journey and a huge challenge for any enterprise. But every journey starts with a first step. From where we stand, our professional relationships started with a first request for a predictive maintenance solution. In all cases we started to interlace AI methods with the culture and DNA of the company.
Although the buzzword "Predictive Maintenance" is on everyone's lips, there still are no real best practives in the market. However, thanks to our experience, we are now able to summarize the challenges during implementation of these use cases and how we answered them. Furthermore, we can highlight subsequent use cases which are typically of interest for manufacturing companies.
Watch the replay of this webinar, led by Caroline Kleist, Head of Data Science and Advanced Analytics at the Positive Thinking Company to discover the typical course of AI projects, and especially predictive maintenance ones, in manufacturing branches.
As a data science expert, Caroline is heading the Data Science department at the Positive Thinking Company. She is an experienced companion in establishing AI at companies from a wide range of industries: from customer analytics projects to streaming data analytics for predictive maintenance.
We define and implement digital strategies for manufacturing industries. Our team of world-class tech consultants and engineers develops state-of-the-art cyberphysical solutions applying AI, Robotics, AR/VR, and other 21st-century technologies.
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