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.
Thomas Gebhardt is an innovation consultant with a focus on digital transformation at the Stuttgart Region Chamber of Skilled Crafts. It supports craft enterprises and skilled tradespeople in transferring innovations from research and teaching into the skilled crafts – including the research project Service-Meister. In an interview he talks about how artificial intelligence (AI) could soon support craft enterprises.
Optimizing production processes, reducing waste, and keeping plants available – what artificial intelligence (AI) can achieve in manufacturing is not yet widely known in industry. Dr. Gunar Ernis from the Fraunhofer Institute explained how SMEs and AI can successfully come together in a Service-Meister webinar.
Artificially intelligent (AI) decisions must be trustworthy for all parties involved. Not only to gain the desired acceptance and acceptability, but also to advance Europe as a location for AI, says Prof. Ali Sunyaev. In an interview, the professor of Computer Science at the Karlsruhe Institute of Technology (KIT) explains what makes AI trustworthy and reliable.
Whether autonomous vehicles or smart chatbots – cyber attackers can trick artificially intelligent software models. “Hackers can manipulate neural networks and lead them astray,” says Nurullah Demir, an expert in cybersecurity and AI. How algorithms can be sabotaged and protected.
Service-Meister relies on open platforms and an AI-based ecosystem. Now the development of the first data products has started in the workshop. In a two-part series, we accompany the experts. Read in part 2: What distinguishes successful data-driven services.
Service-Meister relies on open platforms and an AI-based ecosystem. Now a workshop for the development of the first data products has begun. we will be accompanying the experts as they exchange views in a two-part series. Part 1: Why platforms need success stories.
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