doubleSlash

31. Technology

Technology implementation We provide support in adopting specialised software development methods, empowering you to efficiently harness the potential of new technologies. Technology selection Based on your specific…

32. Catena-X

Catena-X: The consortium for end-to-end value chains in the automotive industry Catena-X Automotive Network: BMW, Mercedes-Benz, Bosch and other pioneering companies founded the consortium to create end-to-end value chains in the automotive…

33. Common Good Report

Our goal It goes without saying that we recognise our responsibility to make a contribution towards greater sustainability and societal development beyond the boundaries of our company – this is one of the stated goals of our project. We…

34. ZF Innovation Management Scrum cooking

Overview over all ZF references New development methods in an innovative environment As a leading technology group in driveline and chassis technology as well as active and passive safety technology, ZF Friedrichshafen AG has a global…

35. Public Charging Solutions

Usage-based billing of charging events in the public charging sector The customer selects a tariff that suits their individual needs and pays for all their charging events at charge point operators (CPOs) in the network with a usage-based monthly…

36. Connected Car Services

Connected car services enable the activation of functions over-the-air. These telematics services on demand offer measurable added value for customers and form the basis for innovative digital business models. Connected mobility services also…

37. Connected Mobility

Our Connected Mobility partners doubleSlash has already successfully implemented the standards developed by the Car Connectivity Consortium at leading OEMs. Together with smartphone manufacturers, solution exploration and implementation of the…

38. Guide to successful data visualization

Download your guide to successful data visualisation: Step by step to successful data visualisation for data-driven decisions We live in an era of information explosion. To keep track of the flood of information and still be able to make…

39. Individual use of machine learning in the cloud

Is machine learning in the cloud suitable for my use case? Among other things, machine learning can be used to reduce maintenance costs, predict human behaviour and minimize downtimes of production systems - the keyword here is predictive…

40. Productive AI solutions with machine learning operations

Scaling AI based products with MLOps in the cloud You have shown with a proof of concept that your use case works with your machine learning algorithm? And now you plan to develop a productive, marketable product? It's not rare that the…

Search result