[TALK]@Telematika

Talks & Presentations Collection

Jupyter and Anaconda: Shaking up the enterprise (sponsored by Anaconda Powered by Continuum Analytics)
December 22, 2019

Jupyter and Anaconda: Shaking up the enterprise (sponsored by Anaconda Powered by Continuum Analytics)

In recent years, open source has emerged as a valuable player in the enterprise, and companies like Jupyter and Anaconda are leading the way. Peter Wang discusses the coevolution of these two major players in the new open data science ecosystem and shares next steps to a sustainable future.

Jupyter notebooks and production data science workflows

Jupyter notebooks and production data science workflows

December 22, 2019

Jupyter notebooks are a great tool for exploratory analysis and early development, but what do you do when it's time to move to production? A few years ago, the obvious answer was to export to a pure Python script, but now there are other options. Andrew Therriault dives into real-world cases to explore alternatives for integrating Jupyter into production workflows.
Labz 'N Da Wild 2.0: Teaching signal and data processing at scale using Jupyter notebooks in the cloud

Labz 'N Da Wild 2.0: Teaching signal and data processing at scale using Jupyter notebooks in the cloud

December 22, 2019

Demba Ba discusses two new signal processing/statistical modeling courses he designed and implemented at Harvard, exploring his perspective as an educator and that of the students as well as the steps that led him to adopt the current cloudJHub architecture. Along the way, Demba outlines the potential of architectures such as cloudJHub to help to democratize data science education.
Learning to code isnt enough: Training as a pathway to improve diversity

Learning to code isnt enough: Training as a pathway to improve diversity

December 22, 2019

Diversity can be achieved through sharing information among members of a community. Jupyter prides itself on being a community of dynamic developers, cutting-edge scientists, and everyday users, but is our platform being shared with diverse populations? Kari Jordan explains how training has the potential to improve diversity and drive usage of Jupyter notebooks in broader communities.
Managing Client's Projects in Open Source and Being Profitable

Managing Client's Projects in Open Source and Being Profitable

December 22, 2019

When delivering a project there are 3 basic constraints, time, budget and quality. Working on an open source setting adds another dimension, having to also watch for the time and quality of the open s …
syscall_intercept - A User Space Library for Intercepting System Calls - Krzysztof Czurylo, Intel

syscall_intercept - A User Space Library for Intercepting System Calls - Krzysztof Czurylo, Intel

December 22, 2019

The syscall_intercept library provides a low-level interface for hooking Linux system calls in user space. This is achieved by disassembling the code of the standard C library, looking for syscall ins …
The Journey of Apache ManifoldCF: Learning from ASF's Successes

The Journey of Apache ManifoldCF: Learning from ASF's Successes

December 22, 2019

Every ASF project has a story to tell and behind a story we find people contributing with a real love in technologies. They share the Open Source philosophy and this honest commitment in terms of pe …
Understanding User Namespaces

Understanding User Namespaces

December 22, 2019

User namespaces are at the heart of many interesting technologies that allow isolation and sandboxing of applications, for example running containers without root privileges and sandboxes for web brow …
Adding meaning to natural language processing

Adding meaning to natural language processing

December 21, 2019

Jonathan Mugan surveys the field of natural language processing (NLP), both from a symbolic and a subsymbolic perspective, arguing that the current limitations of NLP stem from computers having a lack of grounded understanding of our world. Jonathan then outlines ways that computers can achieve that understanding.
AI Now. For Every Industry. (sponsored by NVIDIA)

AI Now. For Every Industry. (sponsored by NVIDIA)

December 21, 2019

AI has the power to transform critical business processes, but new methods will be essential to analyze and visualize datanot as a one-time event but as a continuous process. As a result, a new computing paradigm and deep learning software stack will also be required to power, predict, and act on data to accelerate this transition and produce AI enterprise applications.
Continuous Integration of an Operating System in Kubernetes

Continuous Integration of an Operating System in Kubernetes

December 21, 2019

At Red Hat we use Kubernetes to do continuous integration of an entire operating system, booting tens of thousands of operating systems a day in Kubernetes. Ill share some surprising results we foun …
Defining a Metrics Strategy for Your Community

Defining a Metrics Strategy for Your Community

December 21, 2019

No metric is important but that one that is directly linked to the strategic goals of your community. Success is basically measured when the goals are achieved. Measuring things is 'easy' if you know …
Deterministic Networking for Real-Time Systems (Using TSN)

Deterministic Networking for Real-Time Systems (Using TSN)

December 21, 2019

Time Sensitive Networking (TSN) and Deterministic Networking (DetNet) has its origin in Audio-Video Bridging's (AVB) IEEE standards. This makes it possible to architect a distributed system that almos …
Docker?!?! But I am a SysAdmin!

Docker?!?! But I am a SysAdmin!

December 21, 2019

Your developers just walked into your cube and said "here's the new app, I built it with Docker, and it's ready to go live". What do you do next? In this session we'll talk about what containers are a …
Don't Break Production

Don't Break Production

December 21, 2019

Gluster is a project that provides software-defined storage for a wide range of use-cases. Given the wide range of options, there are some combinations of options which we break during an upgrade inad …
Linux Storage System Bottleneck for eMMC/UFS

Linux Storage System Bottleneck for eMMC/UFS

December 21, 2019

The storage device is considered a bottleneck to the system I/O performance. This thinking drives the need for faster storage device interfaces. Commonly used flash based storage interfaces support hi …
Mapping data in Jupyter notebooks with PixieDust (sponsored by IBM)

Mapping data in Jupyter notebooks with PixieDust (sponsored by IBM)

December 21, 2019

Raj Singh offers an overview of PixieDust, a Jupyter Notebook extension that provides an easy way to make interactive maps from DataFrames for visual exploratory data analysis. Raj explains how he built mapping into PixieDust, putting data from Apache Spark-based analytics on maps using Mapbox GL.
Meet the Expert with Yoshi Nobu Masatani (National Institute of Informatics)

Meet the Expert with Yoshi Nobu Masatani (National Institute of Informatics)

December 21, 2019

Interested in literate computing for reproducibility and nblineage? Or understanding the notebook lifecycle and the consequences of computational narratives? Grab this opportunity to meet Nobu.
Mixing cgroupfs v1 and cgroupfs v2: Finding Solutions for Container Runtimes

Mixing cgroupfs v1 and cgroupfs v2: Finding Solutions for Container Runtimes

December 21, 2019

With the release of kernel 4.5 the new cgroupfs v2 API was declared non-experimental. But the missing feature parity between cgroupfs v2 with cgroupfs v1 makes it nearly impossible for container runti …
Model interpretation guidelines for the enterprise: Using Jupyters interactiveness to build better predictive models (sponsored by DataScience.com)

Model interpretation guidelines for the enterprise: Using Jupyters interactiveness to build better predictive models (sponsored by DataScience.com)

December 21, 2019

Pramit Choudhary offers an overview of Datascience.com's model interpretation library Skater, explains how to use it to evaluate models using the Jupyter environment, and shares how it could help analysts, data scientists, and statisticians better understand their model behaviorwithout compromising on the choice of algorithm.
Music and Jupyter: A combo for creating collaborative narratives for teaching

Music and Jupyter: A combo for creating collaborative narratives for teaching

December 21, 2019

Music engages and delights. Carol Willing explains how to explore and teach the basics of interactive computing and data science by combining music with Jupyter notebooks, using music21, a tool for computer-aided musicology, and Magenta, a TensorFlow project for making music with machine learning, to create collaborative narratives and publishing materials for teaching and learning.
Notebook narratives from industry: Inspirational real-world examples and reusable industry notebooks

Notebook narratives from industry: Inspirational real-world examples and reusable industry notebooks

December 21, 2019

Patty Ryan, Lee Stott, and Michael Lanzetta explore four industry examples of Jupyter notebooks that illustrate innovative applications of machine learning in manufacturing, retail, services, and education and share four reference industry Jupyter notebooks (available in both Python and R)along with demo datasetsfor practical application to your specific industry value areas.
printk() - It's Old, What Can We Do to Make It Young Again?

printk() - It's Old, What Can We Do to Make It Young Again?

December 21, 2019

printk() has been the tool for debugging the Linux kernel and for being the display mechanism for Linux as long as Linux has been around. It's the first thing one sees as the life of the kernel begins …
Project Jupyter: From interactive Python to open science

Project Jupyter: From interactive Python to open science

December 21, 2019

Fernando Prez opens JupyterCon with an overview of Project Jupyter, describing how it fits into a vision of collaborative, community-based open development of tools applicable to research, education, and industry.
Scala: Why hasn't an official Scala kernel for Jupyter emerged yet?

Scala: Why hasn't an official Scala kernel for Jupyter emerged yet?

December 21, 2019

Alexandre Archambault explores why an official Scala kernel for Jupyter has yet to emerge. Part of the answer lies in the fact that there is no user-friendly, easy-to-use Scala shell in the console (i.e., no IPython for Scala). But there's a new contender, Ammonitealthough it still has to overcome a few challenges, not least being supporting by big data frameworks like Spark, Scio, and Scalding.
Working on an Opensource Project - Learnings from Development - Shuva Kar, Cisco Systems (India) Private Limited &

Working on an Opensource Project - Learnings from Development - Shuva Kar, Cisco Systems (India) Private Limited &

December 21, 2019

OpenDaylight community is growing but contributions in some ares/pockets are still on the lower side. The biggest factor is lack of knowledge on how to contribute to an open source project in general …
AI within O'Reilly Media

AI within O'Reilly Media

December 20, 2019

Paco Nathan explains how O'Reilly employs AI, from the obvious (chatbots, case studies about other firms) to the less so (using AI to show the structure of content in detail, enhance search and recommendations, and guide editors for gap analysis, assessment, pathing, etc.). Approaches include vector embedding search, summarization, TDA for content gap analysis, and speech-to-text to index video.
Algorithms for hire

Algorithms for hire

December 20, 2019

Lindsey Zuloaga explains how machine learning from video interviews is disrupting the human resources space, bringing top candidates to the attention of recruiters and drastically reducing the time and energy companies spend finding and assessing potential employees.