[TALK]@Telematika

use case

Networking Electrons : Where Ohm's Law Meets Moore's Law

January 28, 2020

The grid is going through a fundamental transformation from centralized to distributed. This is a shift from a uni-directional, linear grid where we make, transport, and use fossil-fuels to a circular …

Microservices at the Edge - Best Practices

January 27, 2020

IoT Edge processing as an architectural component emerged to meet the demands of reducing network bandwidth requirements and lowering response latency. Microservices as a software paradigm evolved to …

Model as a Service for Real-time Decisioning

January 27, 2020

Imagine a stream processing platform that leverages ML models and requires real-time decisions. While most solutions provide tightly coupled ML models in the use case, these may not offer the most eff …

Model as a service for real-time decisioning

January 27, 2020

Hosting models and productionizing them is a pain point. ML models used for real-time processing require data scientists to have a defined workflow giving them the agility to do self-service seamless deployments to production. Niraj Tank and Sumit Daryani detail open source technologies for building a generic service-based approach for servicing ML decisioning and achieving operational excellence.

Open source streaming analytics with the Kafka, Flink, Cassandra (KFC) stack

January 27, 2020

Streaming analytics is a popular subject in enterprise organizations because customers want real-time experiences, such as notifications and advice based on online behavior and other users actions. Bas Geerdink details an open source reference solution for streaming analytics that covers many use cases that follow a "pipes and filters" pattern, built with Scala, Flink, Kafka, and Cassandra.

The Move to Production Enterprise Blockchains: The Challenges of a Maturing Technology

January 27, 2020

Weve reached a tipping point in the enterprise blockchain space. Hundreds of production networks are now running on a number of different technologies and across a mix of industries, with more coming …

Removing unfair bias in machine learning using open source (sponsored by IBM)

January 25, 2020

ML models are increasingly used to make decisions that impact lives. Ana Echeverri and Trisha Mahoney walk you through how to use the open source Python package AI Fairness 360, developed by IBM researchers, a comprehensive open source toolkit empowering users with metrics to check for unwanted bias in datasets and machine learning models and state-of-the-art algorithms to mitigate such bias.

Growing and Sustaining OSS: Evolution of the Ceph Development Process

January 23, 2020

Ceph is a fully open source distributed storage system that started in a university lab, and has now reached 100K commits from nearly 800 contributors from all over the world. The use cases for Ceph a …

Introduction to the J1939 Kernel Stack

January 23, 2020

SAE J1939 is the de facto standard vehicle bus used for communication and diagnostics among vehicle components. This standard was extended and applied to use for military, marine, agricultural and ind …

Unlocking your serverless functions with OpenFaaS for AI chatbot projects

January 23, 2020

Sergio Mendez examines critical challenges when implementing AI chatbots and explains how Movistar designed an open source serverless architecture using OpenFaaS on top of Kubernetes and other complementary technologies like NoSQL, brokers to deploy Telegram AI chatbots. Sergio then compares these technologies to "vendor lock-in" services offered by major cloud providers.

(Unifying analytics and AI on big data for faster insights at scale)

January 22, 2020

Ziya Ma walks you through Intels scalable data insights strategy and related big data analytics and AI technologies such as Analytics Zooan end-to-end analytics and AI pipeline for developing full solutions with Apache Spark on Intel Xeon and Intel Optane DC Persistent Memory at scale. She highlights customers use cases and collaboration with industry leaders throughout.

Lightning Talk: Configure Logging on Kubernetes the Easy Way

January 20, 2020

Logs are often just an afterthought; something to be looked at when things break. But if you are running services at scale you know that a simplistic approach drowns you in data and making sense of it …

Systems Tracing and Trace Visualization Lab

January 20, 2020

The Trace Visualization lab introduces participants to system and application tracing and trace visualizations that are an invaluable techniques to understand in-depth system behavior and reach root-c …

Behind the Scenes of an Update Framework: RAUC

January 19, 2020

Instead of covering just the basic installation of individual partition images, RAUC offers a recommended chain of steps from creating and signing the update, verifying authenticity on the target devi …

Continuous delivery in an ephemeral world

January 17, 2020

With systems like Travis CI, Circle CI, and CodeBuild, we're never more than a few lines of YAML away from a complete continuous delivery pipeline. However, ephemeral build systems constantly recreate the world from scratch, increasing build time and lengthening the CD feedback loop. John Chapin addresses those challenges and shares a reference pipeline using AWS CodePipeline and CodeBuild.

8 prerequisites of a graph query language

January 14, 2020

Graph query language is the key to unleash the value from connected data. Mingxi Wu outlines the eight prerequisites of a practical graph query language, drawn from six years' experience dealing with real-world graph analytical use cases. Along the way, Mingxi compares GSQL, Gremlin, Cypher, and SPARQL, pointing out their respective pros and cons.

Debian or Yocto Project? Which is the Best for your Embedded Linux Project?

January 14, 2020

As you contemplate how to put together the system software for your next Embedded Linux project you will probably be wondering which is the best path to take? Use a Linux distro such as Debian, (or an …

Home Multimedia and Automation Systems with GStreamer

January 14, 2020

For quite a few years, Jan has been using GStreamer's network synchronisation features at home to build multimedia systems for distributed media playback.This talk, however, will focus on his progress …

An Overview of EdgeXFoundry and Where We Stand

January 13, 2020

EdgeX FoundryTM is a vendor-neutral open source project hosted by The Linux Foundation building a common open framework for IoT edge computing. At the heart of the project is an interoperability frame …

Data science at Deutsche Telekom: Predicting global travel patterns and network demand

January 13, 2020

Knowledge of customers' location and travel patterns is important for many companies, including German telco service operator Deutsche Telekom. Vclav Surovec and Gabor Kotalik explain how a commercial roaming project using Cloudera Hadoop helped the company better analyze the behavior of its customers from 10 countries and provide better predictions and visualizations for management.

Deep learning for recommender systems

January 12, 2020

The success of deep learning has reached the realm of structured data in the past few years, where neural networks have been shown to improve the effectiveness and predictability of recommendation engines. Oliver Gindele offers a brief overview of such deep recommender systems and explains how they can be implemented in TensorFlow.

Deep learning with TensorFlow and Spark using GPUs and Docker containers

January 12, 2020

Organizations need to keep ahead of their competition by using the latest AI, ML, and DL technologies such as Spark, TensorFlow, and H2O. The challenge is in how to deploy these tools and keep them running in a consistent manner while maximizing the use of scarce hardware resources, such as GPUs. Thomas Phelan discusses the effective deployment of such applications in a container environment.

Creating a Virtuous Cycle of Running Code Across your APIs

January 11, 2020

Successful open source projects have APIs that are powerful and intuitive, documentation that is clear and concise, and libraries and SDKs that simplify and accelerate API usage. This fuels the creati …

Executive Briefing: What it takes to use machine learning in fast data pipelines

January 11, 2020

Your team is building machine learning capabilities. Dean Wampler demonstrates how to integrate these capabilities in streaming data pipelines so you can leverage the results quickly and update them as needed and covers challenges such as how to build long-running services that are very reliable and scalable and how to combine a spectrum of very different tools, from data science to operations.

tpm2-software.github.io - Enabling the TPM2.0 Ecosystem in Linux

January 11, 2020

If you own a modern laptop, the chances are high that it contains a small security chip called TPM, a Trusted Platform Module but what is it good for and how can you use it under Linux?In this talk, …

From legacy to cloud: An end-to-end data integration journey

January 10, 2020

Max Schultze details Zalondo's end-to-end data integration platform to serve analytical use cases and machine learning throughout the company, covering raw data collection, standardized data preparation (binary conversion, partitioning, etc.), user-driven analytics, and machine learning.

Learning the Linux Kernel Configuration Space: Results and Challenges

January 10, 2020

Given a configuration, can humans know in advance the size, the compilation time, or the boot time of a Linux kernel?Owing to the huge complexity of Linux (there are more than 15000 options with hard …

Offloading Network Traffic Classification to Hardware

January 10, 2020

In Networking, classifying packets consists in analysing the contentof the headers, and performing various actions based on it. It can be eitherdropping the packet, steering it to a dedicated receive …