Romeo Kienzler

,

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

Edge computing on the IoT edge with Apple CoreML, nVidia Jetson TX2, or even a Raspberry PI

This was the first thing which popped into my mind when I was reading about the latest partnership announcement between Apple and IBM. To summarize...

Deploy a Deep Learning model in seconds with the IBM Code Model Asset Exchange

Discover Deep Learning models that you can deploy in an instant in the IBM Code Model Asset Exchange, an exchange of free and open source...

Why hardware matters in AI – the case for GPU & PowerAI

In scaling neural networks, you just can't get the data into GPU memory as fast as the GPU would process it. This is the main...

The importance of scaling neural network training for finding optimal models

Discover the importance of scaling neural network training to find the right deep learning models by using fully automated hyper-parameter tuning. Even still considered black...

A developer’s view on IBM’s Open Tech AI strategy

I’m especially proud of is IBM’s clear strategy to create, support, and enhance Open Tech AI. From IBM's Center of Open-Source Data and AI...

Posts from other devCenters

IBM Watson IoT Platform

Romeo has authored 1 posts

developerWorks TV

Romeo has authored 19 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…