startup – Christoph Baier

This article is intended for everyone interested to learn more about artificial intelligence start-ups, their business cases and application fields. The topic is very exiting for me considering the breadth of application fields, the business impact, the security implications and the impact on humans/society (see singularity).

The artificial intelligence technology has wide fields of application, different sub-fields, related topics and overlaps quite a lot. Examples therefore are machine learning, natural language processing, deep learning, human-machine interactions, computer vision, image recognition, gesture control, personal assistants, bots, content recognition and many more.

The following list showcases start-ups using artificial intelligence (or stating to use), that are based or headquartered in Germany, Austria and Switzerland (the German-speaking countries) as of 12/2016 (Download: Excel, PDF, Infografic). Get in touch for the status quo.
Continue reading Artificial Intelligence Start-ups in Germany, Austria and Switzerland (AI)

How startups and established companies can collaborate and which steps to pay attention to

Developing innovations is the point where the heterogeneous company forms like startups (is an organization formed to search for a repeatable and scalable business model) and established companies face the same problem. Both have to take care to develop new products, processes or business models. While startups often have the chance to think more out of the box, innovative companies have the potential to use their existing resources and customer access. For example, startups do not face internal cannibalization and therefore can think bigger. These heterogeneous strengths of both company forms illustrate why a collaboration of both company forms can be very valuable.

Continue reading Cooperation forms between startups and established companies