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Kai Waehner
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Short Bio
Kai Wähner works as Technology Evangelist at TIBCO. Kai’s main area of expertise lies within the fields of Big Data, Advanced Analytics, Machine Learning, Integration, SOA, Microservices, BPM, Cloud, Java EE and Enterprise Architecture Management. He is regular speaker at international IT conferences such as JavaOne, ApacheCon or OOP, writes articles for professional journals, and shares his experiences with new technologies on his blog (www.kai-waehner.de/blog).
Contact: [email protected] or Twitter: @KaiWaehner. Find more details and references (presentations, articles, blog posts) on his website: www.kai-waehner.de
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http://www.kai-waehner.de
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Kai Waehner's Blog

Apache Kafka + KSQL + TensorFlow for Data Scientists via Python + Jupyter Notebook

Posted on January 22, 2019 at 10:00am 0 Comments

Why would a data scientist use Kafka Jupyter Python KSQL TensorFlow all together in a single notebook?

There is an impedance mismatch between model development using Python and its Machine Learning tool stack and a scalable, reliable data platform. The former is what you need for quick and easy prototyping to build analytic models. The latter is what you need to use for data ingestion, preprocessing, model deployment and monitoring at scale. It…

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Scalable IoT ML Platform with Apache Kafka + Deep Learning + MQTT

Posted on August 1, 2018 at 11:00pm 1 Comment

I built a scenario for a hybrid machine learning infrastructure leveraging Apache Kafka as scalable central nervous system. The public cloud is used for training analytic models at extreme scale (e.g. using TensorFlow and TPUs on Google Cloud Platform (GCP) via Google ML Engine. The predictions (i.e.…

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Model Serving: Stream Processing vs. RPC / REST - A Deep Learning Example with TensorFlow and Kafka

Posted on July 8, 2018 at 4:26pm 0 Comments

Machine Learning / Deep Learning models can be used in different ways to do predictions. My preferred way is to deploy an analytic model directly into a stream processing application (like Kafka Streams or KSQL). You could e.g. use the …

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Deep Learning Infrastructure for Extreme Scale with 
the Apache Kafka Open Source Ecosystem

Posted on May 8, 2018 at 9:30pm 0 Comments

I had a new talk presented at "Codemotion Amsterdam 2018" this week. I discussed the relation of Apache Kafka and Machine Learning to build a Machine Learning infrastructure for extreme scale.

Long version of the title:

"Deep Learning at Extreme Scale (in the Cloud) 
with the Apache Kafka Open Source Ecosystem - How to Build a Machine Learning Infrastructure with Kafka, Connect, Streams, KSQL, etc."

As always, I want to share the slide deck. The talk was…

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