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I have seen many junior data scientists and machine learning engineers start a new job or a consulting engagement for a telecom company coming from different industries and thinking that it’s yet another project like many others. What they usually don’t know is that “It’s a trap!”. I spent several years forging telecom data into valuable insights, and looking back, there are a couple of things I would have loved to know at the beginning of my journey.
The next-generation of mobile connectivity is rapidly bringing supercharged mobile gaming, Internet of Things technology, and a smarter, better-connected world to consumers’ fingertips. As 5G rapidly evolves and brings new possibilities, it presents a wealth of opportunities for mobile network operators (MNOs) to differentiate their services with high performance applications; and for wireline operators to deliver differentiated backhaul transport services, but they need to act quickly.
In a previous life as an Android developer, a customer reported a nasty bug that we didn’t know how to fix. After what felt like countless hours of debugging and writing back and forth to customer support, our only option left was to get our hands on the users’ local database. However, for a variety of reasons, we couldn’t ask the customer to root the device, copy the database, and send it to us.
2nd February 2021: Canonical’s Ubuntu Core 20, a minimal, containerised version of Ubuntu 20.04 LTS for IoT devices and embedded systems, is now generally available. This major version bolsters device security with secure boot, full disk encryption, and secure device recovery. Ubuntu Core builds on the Ubuntu application ecosystem to create ultra-secure smart things. “Every connected device needs guaranteed platform security and an app store” said Mark Shuttleworth.
Some of you may have seen recently that we are trying to commoditize machine learning through our MLTK smart workflows. Here I’d like to outline another example of an MLTK smart workflow, designed to help improve the usability of the predictive capabilities in ITSI.
When we announced our license change for Elasticsearch and Kibana, moving the Apache 2.0-licensed source code to be dual licensed under both the Elastic License and SSPL, we also mentioned we would work closely with the community on a simplified and more permissive version of the Elastic License. I am happy to share the results with you. The Elastic License is already widely used.
