[TALK]@Telematika

Talks & Presentations Collection

December 28, 2019

Everything You Always Wanted to Know About Object Storage

The rapid growth of unstructured data is fueling the need for a next generation storage thats flexible, economical, and scalable enough to handle the petabytes of data being created every day. Object …

Introducing the Lab in a Box Concept

December 28, 2019

Continuous Integration (CI) has been a hot topic for long time. With the growing number of architectures and boards, it becomes impossible for maintainers to validate a patch on all configurations, ma …

Keynote: Open Source Networking and a Vision of Fully Automated Networks

December 28, 2019

A disruption in 140+ year old telecom industry is making networking cool again with SDN/NFV, 5G, IOT, and AI at the heart of network automation. This talk will focus on how Carriers, Enterprises and …

Kubernetes Day 2: Monitoring

December 28, 2019

There are plenty of ways to setup a Kubernetes cluster, kubeadm, bootkube, kargo, and a lot more, but what happens after setup? Monitoring your cluster health as well as the workload running in the cl …

PNDA: Learn to Bootstrap an Open Source Big Data Platform

December 28, 2019

Innovation in the big data space is rapid, but combining multiple technologies into an endtoend solution is extremely complex and time consuming. The vision of PNDA, the open source big data analyti …

The five components of a data strategy

December 28, 2019

While it's clear organizations need to have a comprehensive data strategy, few have actually developed a plan to improve the access, sharing, and usage of data. Evan Levy discusses the five essential components that make up a data strategy and explores the individual attributes of each.

The future of data science and machine learning (sponsored by IBM)

December 28, 2019

A changing market landscape and open source innovations are having a dramatic impact on the consumability and ease of use of data science tools. Carlo Appugliese examines the impact these trends and changes will have on the future of data science and how machine learning is making data science available to all.

The journey to Einstein: Building a multitenancy AI platform that powers hundreds of thousands of businesses

December 28, 2019

Salesforce recently released Einstein, which brings AI into its core platform to power every business. The secret behind Einstein is an underlying platform that accelerates AI development at scale for both internal and external data scientists. Simon Chan shares his experience building this unified platform for a multitenancy, multibusiness cloud enterprise.

The real project of AI ethics

December 28, 2019

AI has been with us for hundreds of years; there's no "singularity" step change. Joanna Bryson explains that the main threat of AI is not that it will do anything to us but what we are already doing to each other with itpredicting and manipulating our own and others' behavior.

The US EPA: Digital transformation through data science

December 28, 2019

Data science is key to addressing national challenges with greater agility. At the EPA, the prime challenge is to provide the best value to American citizens in an ever-changing world. Robin Thottungal explains how the EPA addresses this challenge through digital and analytical services.

Unleashing intelligence and data analytics at scale (sponsored by Intel)

December 28, 2019

Advanced data analytics is reshaping the enterprise with new discoveries, better customer experiences, and improved products and services, all enabled by actionable insight. Ziya Ma shares how Intel is driving a holistic approach to powering advanced analytics and artificial intelligence workloads and unleashing intelligent and scalable insights from the edge to the cloud to the enterprise.

Unraveling data with Spark using deep learning and other algorithms from machine learning

December 28, 2019

Vartika Singh and Jeffrey Shmain walk you through various approaches using the machine learning algorithms available in Spark ML to understand and decipher meaningful patterns in real-world data. Vartika and Jeff also demonstrate how to leverage open source deep learning frameworks to run classification problems on image and text datasets leveraging Spark.

What I learned from teaching 1,500 analytics students

December 28, 2019

Engaging, teaching, mentoring, and advising mature, mostly employed, often enthusiastic and ambitious adult learners at University of Toronto has taught Jerrard Gaertner more about analytics in the real world than he ever imagined. Jerrard shares stories he learned about everything from hyped-up expectations and internal sabotage to organizational streamlining and creating transformative insight.

A practical guide to conducting an AI snake oil sniff test

December 27, 2019

As artificial intelligence (and specifically machine learning) firmly takes hold in industry, there has been a significant increase in the amount of AI snake oil being developed, pitched, and sold. Joshua Joseph shares a practical guide for detecting AI products of questionable value or benefit, whether intentional or not.

A Shell Script a Day Keeps Your Trouble Away

December 27, 2019

The UNIX command line shell (bash) with it's many tools and possibilities is a very powerful but less and less used system. Harald Koenig will show interactively and step by step how to solve a probl …

Accelerating AI

December 27, 2019

Keynote by Steve Jurvetson

AI is the new electricity.

December 27, 2019

Much like the rise of electricity, which started about 100 years ago, AI will revolutionize every major industry. Andrew Ng explains how AI can transform your business, shares major technology trends and thoughts on where your biggest future opportunities may lie, and explores best practices for incorporating AI, machine learning, and deep learning into your organization.

AI mimicking nature: Flying and talking (sponsored by Microsoft)

December 27, 2019

Lili Cheng shares two examples of AI inspired by nature. In the first, Microsoft researchers created a system that uses artificial intelligence that draws on the way birds fly to keep a sailplane aloft. The second explores what makes people unique, our language instinct, and our ability to model how people socialize and accomplish work.

AI within O'Reilly Media

December 27, 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.

Applying AI to healthcare's biggest opportunity: Clinical variation

December 27, 2019

Mercy and Intermountain, two of the largest and most innovative hospital systems in the United States, have recently applied AI to tackle clinical variation within their systems. Todd Steward and Lonny Northrup discuss the application of machine intelligence for optimizing care and provide valuable insights into practice variation for improving clinical pathways.

DSM, EIF, RED: Acronyms on the EU Level and Why They Matter for Software Freedom

December 27, 2019

In the coming years, the EU is determined to bring its industries to the digital market and acquire a leading position on the global tech market. In order to achieve this ambitious goal of allowing Eu …

Fast and Precise Retrieval of Forward and Back Porting Information for Linux Device Drivers

December 27, 2019

Porting Linux device drivers to target more recent and older Linux kernel versions to compensate for changes in the kernel interface is a continual problem for Linux device driver developers. Acquirin …

Is Linux Kernel Development Good Enough to Make Your Life Depend on It? -- Progress on Procedures & Methods to Qualify the Linux Kernel Development Process

December 27, 2019

The OSADL SIL2LinuxMP project has been considering if Linux is adequate for use as safety element in safety-related systems. Lukas Bulwahn presents the project's results of the last two years of work. …

Purpose-Driven Community Engagement

December 27, 2019

As companies get increasingly dependent on open source projects, it is important to have an purpose-driven engagement and investment plan for critical projects. I will cover best practices for compani …

Taking Up the Slack: Building Real-Time Community at Autodesk

December 27, 2019

Building strong, collaborative communities continues to be a critical component to the success of open source. However, too often companies attempt to manufacture community (both internally and extern …

White Collar Crime Risk Zones

December 27, 2019

Sam Lavigne offers an overview of White Collar Crime Risk Zones, a predictive policing application that uses industry-standard predictive policing methodologies to predict financial crime at the city-block level with an accuracy of 90.12%. Unlike typical predictive policing apps, which criminalize poverty, White Collar Crime Risk Zones criminalizes wealth.

Wild, wild data: Adventures with big data and the IoT in the Angolan highlands

December 27, 2019

Keynote with Jer Thorp

WTF? What's the future and why it's up to us

December 27, 2019

Robots are going to take our jobs, they say. Tim O'Reilly says, "Only if that's what we ask them to do!" Tim has had his fill of technological determinism. He explains why technology is the solution to human problems and why we won't run out of work till we run out of problems.