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Romeo Kienzler works as a Chief Data Scientist in the IBM Watson IoT worldwide team helping clients to apply advanced machine learning at scale on their IoT sensor data. His current research focus is on scalable machine learning on Apache Spark. He is a contributor to various open source projects and works as an associate professor for artificial intelligence at a Swiss university. Romeo Kienzler is a member of the IBM Technical Expert Council and the IBM Academy of Technology (#ibmaot) - IBM’s leading brain trusts.
Romeo presents at GTU Europe in Munich about implementing parallelization in the various deep learning frameworks on Apache Spark.
Read Romeo’s tutorial series on deep learning Romeo presents at Jazoon Tech Days about using deep learning on IoT data in Apache Spark. In this...
Romeo chats with Max Pumperla of Skymind about his work on Keras frameworks, LSTM networks, and Deeplearning4J.
Romeo chats with Chris Fregly from Pipeline.ai about models, pipelines, and Tensorflow.
Romeo chats with self-described hacker, Adam Gibson, about his path from machine learning to deep learning and his work with Deeplearning4J.
In this video, Romeo Kienzler talks with IBM Research AI Engineer, Prithviraj Sen about Deep Learning with Apache SystemML.
Romeo has authored 1 posts
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November 22, 2017
This article is the fourth in a five-part series, "Developing cognitive IoT solutions for anomaly…
August 28, 2017
In just six steps, you can create an IoT game for your smartphone using the…
July 27, 2017
Add language translation to your IBM Cloud apps. Use Node-RED and the Language Translation service…
July 19, 2017
This article is the second in a five-part series, "Developing cognitive IoT solutions for anomaly…
This article is the third in a five-part series, "Developing cognitive IoT solutions for anomaly…
July 05, 2017
Learn how to deploy a simple Flask application with an AngularJS user interface to IBM…
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