Michael Lyamm

The Data Scientist Job and the Future

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A dramatic upswing of data science jobs facilitating the rise of data science professionals to encounter the supply-demand gap. By 2024, a shortage of 250,000 data scientists is predicted in […]

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Benjamin Aunkofer

Interview: Profitiert Business Intelligence vom Data Warehouse in der Cloud?

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Interview mit Ross Perez, Senior Director, Marketing EMEA bei Snowflake Read this Article in English: “Does Business Intelligence benefit from Cloud Data Warehousing?” Profitiert Business Intelligence vom Cloud Data Warehousing? […]

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Signavio

Von der Datenanalyse zur Prozessverbesserung: So gelingt eine erfolgreiche Process-Mining-Initiative

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Den Prozessdaten auf der Spur: Systematische Datenanalyse kombiniert mit Prozessmanagement Die Digitalisierung verändert Organisationen aller Branchen. In zahlreichen Unternehmen werden alltägliche Betriebsabläufe softwarebasiert modelliert, automatisiert und optimiert. Damit hinterlässt fast […]

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events

Data Leader Days: Die Spitzenmanager der Datenwirtschaft live und direkt

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Am 13./14. November 2019 finden in Berlin die fünften Data Leader Days statt. Kommen Sie direkt mit den Spitzenkräften der Datenwirtschaft in Kontakt und freuen Sie sich auf die besten […]

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Perry Johnson

A Bird’s Eye View: How Machine Learning Can Help You Charge Your E-Scooters

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Ever since I started using bike-sharing to get around in Seattle, I have become fascinated with geolocation data and the transportation sharing economy. When I saw this project leveraging the mobility […]

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Michael Lyamm

Closing the AI-skills gap with Upskilling

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Closing the AI-skills gap with Upskilling Artificial Intelligent or as it is fancily referred as AI, has garnered huge popularity worldwide.  And given the career prospects it has, it definitely […]

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Editorial Staff

Interview – Knowledge Graphs and Semantic Technologies

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“It’s incredibly empowering when data that is clear and understood – what we call ‘beautiful data’ – is available to the data workforce.” Juan F. Sequeda is co-founder of Capsenta, a […]

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Sarthak Babbar

Understanding Dropout and implementing it on MNIST dataset

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Over-fitting is a major problem in deep learning and a plethora of techniques have been introduced to prevent it. One of the most effective one is called “dropout”.  Let’s use […]

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Benjamin Aunkofer

Interview: Does Business Intelligence benefit from Cloud Data Warehousing?

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Interview with Ross Perez, Senior Director, Marketing EMEA at Snowflake Read this article in German: “Profitiert Business Intelligence vom Data Warehouse in der Cloud?” Does Business Intelligence benefit from Cloud […]

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Christopher Kipp

Allgemeines über Geodaten

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Dieser Artikel ist der Auftakt in einer Artikelserie zum Thema “Geodatenanalyse”. Von den vielen Arten an Datensätzen, die öffentlich im Internet verfügbar sind, bin ich in letzter Zeit vermehrt über […]

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