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All Blog Posts Tagged 'Azure' (6)

Azure Data Studio in One Picture

I was invited at the recent Microsoft’s Azure Data and AI Tech Immersion event (March 2019) and we played a bit with various tools, including Azure Data Studio and Azure Databricks. The picture below summarizes my understanding of this platform, based on my short experience with it. 

Azure Data…

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Added by Vincent Granville on April 3, 2019 at 7:30am — No Comments

#DevOps for Machine Learning (#ML / #AI)

Until very recently, most organizations have seen two distinct, non-overlapping work streams when building an AI enabled application: a development path and a data science path.

Often, both groups are actually building similarly scripted functional solutions using something like python or C/F#. Further, once a data scientist finishes the evaluation and…

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Added by Laura Edell on February 2, 2019 at 12:35pm — No Comments

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

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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Added by Kai Waehner on July 8, 2018 at 4:26pm — No Comments

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

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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Added by Kai Waehner on May 8, 2018 at 9:30pm — No Comments

Choosing the correct ML Solution for you...

               Enterprise applications trending to adopt Machine Learning as their strategic implementation and performing machine learning deep analytics across multiple problem statements is becoming a common trend. There are variety of machine learning solutions / packages / platform that exist in market. One of the main challenges that the teams initially trying to resolve is to choose the correct platform / package for their solution.

                Based on my limited…

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Added by Aravindakumar Venugopalan on October 5, 2016 at 5:00pm — 1 Comment

Merging the old with the new: thoughts on improving software diagnostics

Change is inevitable and so are failures

The changes in technology are happening at an incredible pace. Every day there are new software languages, system processes, cloud platforms, software capabilities, etc. introduced to the digital world in some way. This new technology is being seamlessly integrated with technology built yesterday. 

It is impressive and somewhat breathtaking when these various systems work together in harmony however they will fail sooner or…

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Added by Dwaine Gilmer on November 24, 2015 at 3:30am — 1 Comment

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