Deep Learning - Transfer Learning

Transfer Learning – Some available Pre-trained models for TensorFlow, PyTorch, Keras and CNTK

Transfer learning or inductive transfer is a research problem in machine learning that focuses on storing knowledge gained while solving one problem and applying it to a different but related problem. For example, knowledge gained while learning to recognize cars could apply when trying to recognize trucks. This area of research bears some relation to […]

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What to expect from Artificial Intelligence in 2018 (business perspective)

AI implementations will still not be the norm Only one in 20 companies has comprehensively integrated KI into its offerings or processes. Less than 39% of all companies have an AI strategy. According to the MIT Sloan Management Review, the largest companies – with at least 100,000 employees – are most likely to have an […]

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3 Möglichkeiten wie Maschinelles Lernen Industrie 4.0 revolutionieren kann

3 Ways Machine Learning can Revolutionize Industry 4.0

Industrial companies often have large amounts of data without generating any added value from it. According to a study by the World Economics Forum in cooperation with A.T. Kearney is currently 70% of all collected production data is not used. The development of market-ready AI tools and the availability of scalable computing power enable manufacturers […]

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Importance of Unsupervised Learning in data preprocessing

This term encompasses all types of machine learning in which the result is unknown and there is no teacher to train the algorithm. In the case of unsupervised learning, the learning algorithm receives only the input data and is instructed to extract knowledge from this data. There are basically two types of unsupervised learning: 1. […]

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AI Readiness

AI-Readiness – Is your business ready for the use of AI? A checklist with 7 points.

Machine learning and artificial intelligence in general have been on everyone’s lips for some time now. While the topic of AI is in the forefront of the media, most (especially the executive floor) are still not clear on how to best use machine learning or what it takes to implement it all. Ultimately, machine learning […]

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machine learning

Top Machine Learning Algorithms for Predictions. A Short Overview.

Companies have always been very interested in expanding and improving their decision-making principles. In the past, business decisions were largely based on the experience of proven employees and gut instincts. Over time, accounting systems have become easier and better at revising past business data for interesting patterns and deviations. The problem with these analyzes, however, […]

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Blockchain & Big Data Analytics – the perfect match?

Not so long ago, a consortium of 47 Japanese banks teamed up with a company called Ripple to facilitate cash transfers between bank accounts through blockchain. The main reason for the move was to enable real-time transfers at a very low cost. One of the reasons why traditional real-time transfers were expensive was in the […]

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AI Readiness

AI Readiness – Ist Ihr Unternehmen bereit für den Einsatz von KI? Eine Checkliste mit 7 Punkten.

Maschinelles Lernen und Künstliche Intelligenz im Allgemeinen sind schon seit einiger Zeit in aller Munde. Während das Thema KI in den Medien im Vordergrund steht, ist den meisten (ganz besonders der Führungsetage) immer noch nicht ganz klar, wie maschinelles Lernen am besten angewendet wird bzw. was zur Umsetzung alles benötigt wird. Letztendlich kann man maschinelles […]

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Blockchain & Big Data Analytics – die perfekte Symbiose?

Vor nicht allzu langer Zeit da hat sich ein Konsortium von 47 japanischen Banken mit einer Firma namens Ripple zusammengetan, um Geldtransfers zwischen Bankkonten mittels Blockchain zu ermöglichen. Der Hauptgrund für den Umzug bestand darin, Echtzeittransfers zu sehr niedrigen Kosten zu ermöglichen. Einer der Gründe, warum traditionelle Echtzeittransfers teuer waren, lag in den potenziellen Risikofaktoren. […]

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Ausblick 2018 - Künstliche Intelligenz

KI-Ausblick 2018: Was von Künstlicher Intelligenz aus Unternehmenssicht zu erwarten ist

KI Implementierungen werden weiterhin die Ausnahme sein Nur eines von 20 Unternehmen hat KI umfassend in seine Angebote oder Prozesse integriert. Weniger als 39% aller Unternehmen verfügen über eine KI-Strategie. Laut MIT Sloan Management Review haben die größten Unternehmen – mit mindestens 100.000 Mitarbeitern – am ehesten eine KI-Strategie, aber nur die Hälfte davon hat […]

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