After three successful editions, a fourth edition of the ‘Fleet-based analytics for data-driven operation and maintenance optimisation’ seminar will take place on 24 September. The seminar focuses on the challenges of optimising the operation and maintenance of a fleet of machines by means of data-driven analytics and hybrid modelling strategies. In addition, a new mastercourse, ‘The opportunities and challenges of fleet-based analytics’, on 25 September will provide practical techniques for analysing fleets of machines.

Curiosity Forum on 13 June is an experience that goes beyond that of a conference. It will be a day full of inspiration and networking opportunities with peers, thought leaders, academics, and analytics & AI experts. Sirris will give a presentation on the opportunities of digitalisation in the manufacturing industry.

Due to developments in data-driven algorithms, more and more AI tools are being developed to process images. Supplying images of tools to AI models can automate this inspection process. The first steps in this direction have been taken in a recent research project.

The EluciDATA Community allows its members to network with peers and stay up-to-date with emerging technologies and R&D projects related to data innovation and AI. Within this framework two annual events will be organised: an innovation brokerage and an expert technology forum. The first innovation brokerage takes place on 23 April, together with the kick-off event of the community.

The Data and AI Competence Lab of Sirris is currently focusing on the topic of fleet-based analytics via several research projects and creating awareness via dedicated seminars. Soon the lab will also launch a dedicated platform for fleet-based analysis, to support companies in adopting a fleet-based data-driven approach.

It had been coming for a while, and now it is a reality: shortly after New Year Amazon surpassed the giant trio of Microsoft, Google and Apple and is now the largest publicly traded company in the world. This is typical of Amazon’s smart and sustained strategy, as well as of its founder Jef Bezos, but this number one position also gives a more in-depth picture of the power relations in the digital economy.

Long ago there were two kingdoms called Datamania and Scienzia that constantly competed with each other, not over power or wealth but over knowledge.

While today's attention mainly goes to examples by major internet companies such as Google, Amazon or Facebook, data science might be even more relevant in other industrial domains and is definitely relevant for SMEs as well. During our mastercourse we give you the details!

Data are flooding almost all sectors of our economy. That is why an increasing number of innovations is based on managing and interpreting (available) data, which are collected by various means. Are you eager to find out what data innovation can mean for your company, products, services and technology? Discover it during our new edition of our mastercourse cycle 'Data Innovation beyond the Hype', starting in January 2019.

Although 'Digital Transformation' and 'Industry 4.0' lead to transformation, many companies still struggle with actual implementation and how to use their product data to their advantage. To help these companies and increase their competitiveness, Sirris, Hahn-Schickard and the Forschungszentrum Informatik have initiated the collective research project 'InsightProducts - Actionable Insights into Product Service Delivery’.