Romeo Kienzler

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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.

Posts from this devCenter

Building brains – Parallelization strategies of large scale deep learning networks

Romeo presents at GTU Europe in Munich about implementing parallelization in the various deep learning frameworks on Apache Spark.

JVM-based deep learning on IoT data with 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...

Deeplearning4J, Keras, and LSTMs, a discussion with Max Pumperla, Deep Learning Engineer at Skymind

Romeo chats with Max Pumperla of Skymind about his work on Keras frameworks, LSTM networks, and Deeplearning4J.

Machine learning, Spark vs. Tensorflow, and more, a discussion with Chris Fregly of PipelineAI

Romeo chats with Chris Fregly from Pipeline.ai about models, pipelines, and Tensorflow.

Deeplearning4J, a discussion with Adam Gibson, CTO of Skymind

Romeo chats with self-described hacker, Adam Gibson, about his path from machine learning to deep learning and his work with Deeplearning4J.

Deep learning with Apache SystemML, a discussion with AI engineer Prithviraj Sen from IBM Research

In this video, Romeo Kienzler talks with IBM Research AI Engineer, Prithviraj Sen about Deep Learning with Apache SystemML.

Posts from other devCenters

IBM Watson IoT Platform

Romeo has authored 1 posts

IBM Code

Romeo has authored 1 posts

Articles from the developerWorks library

Create a fun, simple IoT accelerometer game

In just six steps, you can create an IoT game for your smartphone using the…

Build a cognitive IoT app in just 7 steps

Build a cognitive IoT solution, following an edge computing architecture. Push your analytics out to…

Developing cognitive IoT solutions for anomaly detection by using deep learning, Part 5: Using Keras and TensorFlow for anomaly detection

This article is the fifth in a five-part series, "Developing cognitive IoT solutions for anomaly…

Developing cognitive IoT solutions for anomaly detection by using deep learning, Part 4: Using Apache SystemML for anomaly detection

This article is the fourth in a five-part series, "Developing cognitive IoT solutions for anomaly…

Add language translation to your apps with IBM Watson

Add language translation to your IBM Cloud apps. Use Node-RED and the Language Translation service…

Developing cognitive IoT solutions for anomaly detection by using deep learning, Part 2: Generating data for anomaly detection

This article is the second in a five-part series, "Developing cognitive IoT solutions for anomaly…