Raus aus der Vision, rein in die Matrix AI#28
Mit Hans-Peter Zorn, AI-Influencer und Praktiker, im AI Talk.
Artificial Intelligence
Innovation accelerators need strong analytics architecture to drive scale
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
Is the long-overdue pharma modernisation finally about to happen?
The pandemic may have other implications for manufacturing. For example, we could see factories moving away from a reliance on physical labour.
Von Beschleunigern und Brutkästen AI#26
Mit der TU Darmstadt, TU München und Uni Frankfurt im Dialog (Harald Holzer, Sönke Bästlein, Holger Patzelt).
¿Podemos evitar sesgos en la detección de fake news?
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
Jung, modern, 50 Prozent Frauen AI#25
Austausch mit Lionel Born, Gründer von L-One Systems, Darmstadt.
How to use machine learning to drive your business
Making decisions based on what ML solutions have learned has become a prerequisite for running an innovative business.
Manufacturing and asset maintenance: The brave new world of data driven continuous improvement
Real value comes from data when you can start integrating disparate data sources together.
If text analytics is the brain, it still needs a human heart
Identification of Concepts and Topics based on out-of-the-box rules. It is common practice to develop a business or industry specific taxonomy.
Manufacturers and data analytics: Are they making the most of their data?
Data collected during the manufacturing process is used to try to identify the cause of discrete problems after the event.