Integrating data into business models and tapping into new sources of revenue – how this is supposed to succeed is not clear for many companies. In addition, analogue formats, heterogeneous systems and closed silo structures cloud the view. Why it pays to salvage data treasures. And how service knowledge can be extracted from PDF files, for example.
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Optimising products, advising customers better and handling service cases faster – association analyses of service data make it possible. Which requirements have to be fulfilled, and which further advantages are offered to companies – grandcentrix and Würth report on the results of their work for Service-Meister in the blog post.
Not only manufacturing first-class products, but also realising data-based business models – Service-Meister discussed how SMEs can benefit from the service economy at Cloud Expo Europe Frankfurt.
Implementing service-based business models and monetising machine data – for many companies, this is still a pipe dream. Stephan Boch from KEB Automation explained how SMEs can get started via Service-Meister at the expert forum of the service association KVD.
Promoting innovation and exploiting business opportunities – wherever companies engage in platform-based ecosystems, all market participants benefit. A new white paper from the Global Industry Organizations (GIO) also shows the success factors using the example of Service-Meister.
Is artificial intelligence (AI) compulsory or just an option in competition? How strategically relevant is the technology, and to what extent is it still a thing of the future? These are questions SMEs are asking themselves, according to Deloitte’s study. Answers are now being provided by the AI project Service-Meister.
The majority of all company leaders believe that artificial intelligence (AI) will change the business world. Only a minority, however, expect that impact on their own company. Why aspirations and reality continue to diverge in the SME sector. And what’s can be done with AI and machine data beyond maintenance.
Since the beginning of the year, Service-Meister has been putting artificial intelligence (AI) into practice. This is embodied by the six speedboat projects with their use cases in the technical service. How are things progressing? In which areas are successes and hurdles emerging? In a new series of articles, we take a look into the engine room of the AI project.
Although more and more industries are processing data with artificial intelligence (AI), there is no dedicated AI law. “As long as there are no AI regulations, the requirements can only be derived from the applicable laws,” said Dr. Lutz M. Keppeler, specialist lawyer for IT law, recently in a Serivce-Meister webinar.
Skilled workers are rare. SMEs should consistently rely on digitalization and artificial intelligence to be able to perform maintenance reliably tasks in the future, says Dr. Fred Jopp, Head of Industrial Project Management at USU Software AG, which is an eco member. Dr. Jopp’s position means that he is closely involved with the corporate problems involved in implementing use cases.