What analytics architecture is needed to support an accelerator? I have recently been working with my colleague Jussi Martikka to extract lessons from the City of Helsinki’s AI Experimentation Accelerator work. We used the steps of the accelerator process to define the analytics architecture needed. This was a useful way
The pandemic may have other implications for manufacturing. For example, we could see factories moving away from a reliance on physical labour.
Mit der TU Darmstadt, TU München und Uni Frankfurt im Dialog (Harald Holzer, Sönke Bästlein, Holger Patzelt).
La desinformación y las fake news constituyen hoy en día una de las principales amenazas para la libertad de información y el pensamiento crítico de la sociedad. En épocas de gran incertidumbre, como la derivada de la pandemia del COVID-19, las fake news pueden llegar a tener consecuencias aún más
Austausch mit Lionel Born, Gründer von L-One Systems, Darmstadt.
Making decisions based on what ML solutions have learned has become a prerequisite for running an innovative business.
Real value comes from data when you can start integrating disparate data sources together.
Identification of Concepts and Topics based on out-of-the-box rules. It is common practice to develop a business or industry specific taxonomy.
Data collected during the manufacturing process is used to try to identify the cause of discrete problems after the event.
Com o início do “desconfinamento”, a reabertura das empresas fabris e a entrada faseada em produção, esta é também uma altura importante para pensarmos em como tornar as nossas empresas mais eficientes e em alavancar investimentos efetuados anteriormente. Numa fase em que ainda não estamos a produzir a 100%, a
