Dr. Frank Kienle

Dr. Frank Kienle is head of Artificial Intelligence and Data Science at Camelot ITLab. He is not only an expert in Machine Learning and related fields but also has a deep unerstanding of the business impact of AI and the solutions based on this technology. As a lecturer, he teaches Data Science at the University of Kaiserslautern.

Pioneer in Artificial Intelligence and Data Science, lecturer

Articles by Dr. Frank Kienle

Innovation

How does one of the world’s leading specialty chemicals companies move to NextGen Data Management?

Evonik Enterprise Data Management was looking for a new, integrated, and future ready platform to support the data management processes across …

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Innovation

New: Camelot Data Science Lab

We are proud to announce the Camelot Data Science Lab which is bundling our experiences, show cases and best practices to …

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Innovation

SAP’s Machine Learning and Data Science Platform welcomed by Camelot

There is a strong competition among machine learning (ML) and data science platform providers, all claiming to possess a distinct edge …

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Innovation

The importance of a Data Science learning journey for your organization

Among the most important pillars of leveraging data science in your organization is to enable your employees to make data-driven decisions. …

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Innovation

Data Science for Insights Finding

In the age of Digital Transformation, companies should benefit from using Machine Learning (ML) techniques to improve their processes. A lot …

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Innovation

Exploratory Data Analysis – An Important Step in Data Science

One of the most challenging questions data scientists face is how data can bring value to a specific problem. Data scientists …

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Innovation

Microservices – Business and Technology Level

When writing this article and during my daily work I often have the challenge to communicate and explain different topics. Sometimes …

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Innovation

An Introduction to Machine Learning – the Heart of AI

Machine Learning (ML) enables the analysis of massive quantities of data. The outputs are typically predictions and recommendations. The algorithms are …

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