We’re giving away 1,500 more DJI Tello drones. Enter to win ›
Romeo Kienzler is Chief Data Scientist and DeepLearning/AI Engineer at IBM Watson IoT and as IBM Certified Senior Architect he helps clients worldwide to solve their data analysis challenges.He holds an M. Sc. (ETH) in Computer Science with specialisation in Information Systems, Bioinformatics and Applied Statistics from the Swiss Federal Institute of Technology Zurich. He works as an Associate Professor for artificial intelligence at a Swiss University and his current research focus is on cloud-scale machine learning and deep learning using open source technologies including R, Apache Spark, Apache SystemML, Apache Flink, DeepLearning4J and TensorFlow. He also contributes to various open source projects. He regularly speaks at international conferences including significant publications in the area of data mining, machine learning and Blockchain technologies. As a course instructor he teaches data science using ApacheSpark on coursera:https://www.coursera.org/learn/exploring-visualizing-iot-dataRecently his latest book on Mastering Apache Spark V2.X has been published: http://amzn.to/2vUHkGlRomeo Kienzler is a member of the IBM Technical Expert Council and the IBM Academy of Technology - IBM’s leading brain trusts. #ibmaot
Filter by type
RecentBlog PostsAnnouncementsArticlesChallengesCoursesEventsModelsCode PatternsOpen ProjectsSeriesTutorialsVideos
Learn about the architecture of digital twins, the problems that they solve in processing IoT data, and the different types…
A process model and an architectural decisions guide to map individual technology components to the reference architecture and guidelines for…
Artificial intelligenceData science+
Announcing the new Applied AI Coder experience
Having freedom of choice with programming languages, tools, and frameworks improves creative thinking and evolvement.
A data scientist's work is highly repetitive and machine learning algorithms eventually will be able to learn what to do…
Artificial intelligenceData science
Learn how to use a framework for generating data from sampling various physical models using Node-RED.
Build a cognitive IoT solution, following an edge computing architecture. Push your analytics out to the gateway, and use advanced…
In just six steps, you can create an IoT game for your smartphone using the IBM Watson IoT Platform services…
Back to top