Successfully deploying and maintaining machine learning applications is, to us (punch team), still a real challenge. We have read many papers and blogs introducing great new technologies to tackle mlops issues. We still find the whole process far from being simple Read more…
The punch 6.2.0 (Dave) has been released and marks a significant step forward. A good time to give some punch news, what are the new features ? what is the punch used for? where will it go next? The Punch Read more…
Overview In this advanced blog, we explain how to create a new custom machine learning node in the punch. Our goal is to predict the number of travelers in each train station of Il-de-France, the France area that includes Paris Read more…
Overview Apache Nifi is a popular technology to handle dataflow between systems. Using a simple interface to create diagrams, you can manage where the data goes and how is it processed. Just like many similar frameworks, Nifi provides a bunch Read more…
You have interesting data: radar data, security logs, Iot data, pictures, and you wonder how to best combine archiving and indexing capabilities. To perform efficient queries and benefit from optimal (near) real-time performance, you need to select the right (indexed) Read more…
Dealing With Python Apps The punch story with python is an old one. We implemented an elasticsearch aggregator tool in the Brad release (now deprecated), we also leveraged the elasticsearch curator application that we provide as a deployable administrative service Read more…
Craig Release Latest News This 2019 summer was quite active, and I am happy to share lots of interesting news regarding the current and future punch releases. Before We Start Maybe you are not familiar yet with the punch. Here Read more…
In the end of 2016, we integrated Ceph in Punchplatform. This article gives a feedback and explains what are the major advantages of using a Ceph cluster on a Punchplatform instead of standard storage solutions. User features Aside from reducing Read more…
Tensorflow is a well-known and one of the most popular frameworks used for Deep Learning. It is an open-source library developed by Google and it is extremely useful to solve complex problems which require deep learning. It relies on making Read more…
Big Data Paris 2019 Workshop Tuesday 12th of March, 14H00 Machine Learning for Critical Systems Damien Fontanes, Dimitri Tombroff Abstract In real-life critical systems and applications, accessing the data to test, tune and run artificial intelligence algorithms involved several under-estimated Read more…