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Author: Hauke Timmermann

KI Service - Industrie 4.0

Vorstellung eines Service-Meister Use Cases in dem USU und Atlas Copco zusammenarbeiten

Atlas Copco and USU Software: Better connected with AI in technical service

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.

Artificial intelligence and the Law: What AI users in SMEs should know

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.

AI meets Distributed Ledger: Building marketplaces, sharing data and breaking silos

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.

Attacks on AI: How algorithms can be manipulated

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.

Developing successful data products in a structured and strategic way

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.

Why platforms need success stories

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.

Service-Meister partner meet-up: Predictive maintenance for the toolbox

On 27 May, the Service-Meister Consortium met with its associated partners for the first time. The aim of the online event, which was attended by around 40 participants, was to present progress from the use cases and to involve more companies in the AI project.

AI in Medicine and Industrial Services – Sharing Data and Disseminating Knowledge

When knowledge about a disease spreads faster than the disease itself, doctors gain time. Artificial intelligence (AI) plays a role not only in the fight against the coronavirus, but also in industrial services. Two webinars present potentials.

Synchronizing, Simulating, and Repairing – Maintenance is a Twin Thing

There’s no escaping it in industry. It will be on the packing list when astronauts travel to Mars for the first time and even Cologne Cathedral is getting one – we’re talking about the digital twin. Here’s how software models can help in other industries aside from industrial services, aerospace, and cathedral construction.