[TALK]@Telematika

Talks & Presentations Collection

Building the IoT data lifecycle (sponsored by Cisco)
January 4, 2020

Building the IoT data lifecycle (sponsored by Cisco)

For many enterprises, the internet of things represents an opportunity to transform the business by examining its data from a holistic lifecycle perspective and generating, analyzing, and archiving the data to reengineer the enterprise. Han Yang explores the latest trends and the role of infrastructure in enabling such a transformation.

Classification of telecom network traffic: Insight gained using statistical learning on a big data platform

Classification of telecom network traffic: Insight gained using statistical learning on a big data platform

January 4, 2020

Statistical learning techniques applied to network data provide a comprehensive view of traffic behavior that would not be possible using traditional descriptive statistics alone. Amie Elcan shares an application of the random forest classification method using network data queried from a big data platform and demonstrates how to interpret the model output and the value of the data insight.
Cloud data lakes: Analytic data warehouses in the cloud

Cloud data lakes: Analytic data warehouses in the cloud

January 4, 2020

John Hitchingham shares insights into the design and operation of FINRA's data lake in the AWS cloud, where FINRA extracts, transforms, and loads over 75B transactions per day. Users can query across petabytes of data in seconds on AWS S3 using Presto and Sparkall while maintaining security and data lineage.
Considerations for hardware-accelerated machine learning platforms

Considerations for hardware-accelerated machine learning platforms

January 4, 2020

The advances we see in machine learning would be impossible without hardware improvements, but building a high-performance hardware platform is tricky. It involves hardware choices, an understanding of software frameworks and algorithms, and how they interact. Mike Pittaro shares the secrets of matching the right hardware and tools to the right algorithms for optimal performance.
Creating public value through data collaboratives

Creating public value through data collaboratives

January 4, 2020

The data collaborative is a new form of public-private partnership that seeks to create public value for the worlds most marginalized children through the exchange of data and data science expertise. Natalia Adler offers an overview of the Data Collaboratives initiative, led by UNICEF and the GovLab at New York University's Tandon School of Engineering.
Data science for the most vulnerable at UNICEF Innovation

Data science for the most vulnerable at UNICEF Innovation

January 4, 2020

The growing availability of dataalong with advances in fields such as data science and artificial intelligencehas profoundly changed businesses. Manuel Garca-Herranz explains how to leverage these advances for the most vulnerable, while making sure that the existing data divide does not increase the gap in inequality, and integrate these advances into the humanitarian and development systems.
Deep learning for recommender systems

Deep learning for recommender systems

January 4, 2020

In the last few years, deep learning has achieved significant success in a wide range of domains, including computer vision, artificial intelligence, speech, NLP, and reinforcement learning. However, deep learning in recommender systems has, until recently, received relatively little attention. Nick Pentreath explores recent advances in this area in both research and practice.
Deploying AI in mobile-first consumer-facing financial products: A tale of two cycles

Deploying AI in mobile-first consumer-facing financial products: A tale of two cycles

January 4, 2020

AI is moving into the heart of the financial business model. Jike Chong discusses two fundamental business cycles in a financial institution: acquiring customers and sustaining customer relationships, highlighting opportunities in six areas where AI technologies can be readily deployed, along with reference use cases.
Improve the performance of GTP-U and Kube-Proxy Using VPP

Improve the performance of GTP-U and Kube-Proxy Using VPP

January 4, 2020

Come to this combined session where you will hear about:Improve the Performance of Kubernetes Cluster with VPP Based Router and Load BalancerIn current kubernetes environment, the container networks …
Lessons learned from the OpenStack Gender-Diversity Report

Lessons learned from the OpenStack Gender-Diversity Report

January 4, 2020

The OpenStack Gender Diversity Report published earlier this year [1] provided an initial view of the gender diversity within this community. The report studied both leadership and technical contribut …
NovoNet Vision in China Mobile

NovoNet Vision in China Mobile

January 4, 2020

In this presentation, Yachen will give some introduction about the consideration of China Mobiles future network transformation. NovoNet is a project and also a vision, which will enable china mobile …
OpenDaylight as a Platform for Network Programmability

OpenDaylight as a Platform for Network Programmability

January 4, 2020

Software Defined Networking (SDN) may have started as the separation of the control plane and the data plane, but the true power lies in the ability to communicate with the network through well define …
Panel Discussion: Diversity & Inclusion: On the Path to Increasing the 10 Percent

Panel Discussion: Diversity & Inclusion: On the Path to Increasing the 10 Percent

January 4, 2020

The technology industry has been a major source of innovation and economic growth, but its ability to encourage diversity among its ranks lags. In 2016, women and underrepresented minorities accounted …
Time for Action - Innovating for D&I in Open Source Communities

Time for Action - Innovating for D&I in Open Source Communities

January 4, 2020

Enough is enough! Its time for action and collaboration on diversity & inclusion in open source. Were missing out on perspectives, and experiences that can drive innovation for a better world. Its …
Tutorial: Using the Linux VRF Solution

Tutorial: Using the Linux VRF Solution

January 4, 2020

Virtual Routing and Forwarding (VRF) is a fundamental feature for a networking OS. VRF provides traffic isolation at layer 3 for routing, similar to how you use a VLAN to isolate traffic at layer 2. W …
Diversity in Open Source: No Longer at Square One

Diversity in Open Source: No Longer at Square One

January 3, 2020

Open source overall remains remarkably undiverse, with the latest GitHub survey finding about 3% women contributors, but communities that are making an effort to improve diversity are seeing results. …
Eliminating Biases and Encouraging Diversity

Eliminating Biases and Encouraging Diversity

January 3, 2020

Let's admit it, if we are not actively inclusive, then we are excluding. A successful team (and hence the organization) can achieve success by encouraging diversity in thought, opinion, background, cr …
Empowering quants to trade faster: From Excel files to data packages

Empowering quants to trade faster: From Excel files to data packages

January 3, 2020

It doesn't matter how much data organizations collect; all that matters is how much data they can leverage. Aneesh Karve explores how a Fortune 500 bank leverages data packages to minimize data prep and maximize time spent on analysisusing a technique called source code-inspired data management.
Executive Briefing: Analytics centers of excellence as a way to accelerate big data adoption by business

Executive Briefing: Analytics centers of excellence as a way to accelerate big data adoption by business

January 3, 2020

Big data technology is mature, but its adoption by business is slow, due in part to challenges like a lack of resources and the need for a cultural change. Carme Artigas explains why an analytics center of excellence (ACoE), whether internal or outsourced, is an effective way to accelerate adoption and shares an approach to implementing an ACoE.
Expanding data literacy with data visualizations

Expanding data literacy with data visualizations

January 3, 2020

While the value of data and its role in informing decisions and communications is well known, its meaning can be incorrectly interpreted without data visualizations that provide context and accurate representation of the underlying numbers. Julie Rodriguez shares new approaches and visual design methods that provide a greater perspective of the data.
From notebooks to cloud native: A modern path for data-driven applications

From notebooks to cloud native: A modern path for data-driven applications

January 3, 2020

Notebook interfaces like Apache Zeppelin and Project Jupyter are excellent starting points for sketching out ideas and exploring data-driven algorithms, but where does the process lead after the notebook work has been completed? Michael McCune offers some answers as they relate to cloud-native platforms.
GDPR: Getting your data ready for heavy, new EU privacy regulations

GDPR: Getting your data ready for heavy, new EU privacy regulations

January 3, 2020

In May 2018, the General Data Protection Regulation (GDPR) goes into effect for firms doing business in the EU, but many companies aren't prepared for the strict regulation or fines for noncompliance (up to 20 million or 4% of global annual revenue). Steven Ross and Mark Donsky outline the capabilities your data environment needs to simplify compliance with GDPR and future regulations.
Geospatial big data analysis at Uber

Geospatial big data analysis at Uber

January 3, 2020

Uber's geospatial data is increasing exponentially as the company grows. As a result, its big data systems must also grow in scalability, reliability, and performance to support business decisions, user recommendations, and experiments for geospatial data. Zhenxiao Luo and Wei Yan explain how Uber runs geospatial analysis efficiently in its big data systems, including Hadoop, Hive, and Presto.
GPU-accelerating a deep learning anomaly detection platform

GPU-accelerating a deep learning anomaly detection platform

January 3, 2020

How can deep learning be employed to create a system that monitors network traffic, operations data, and system logs to reliably flag risk and unearth potential threats? Satish Dandu, Joshua Patterson, and Michael Balint explain how to bootstrap a deep learning framework to detect risk and threats in operational production systems, using best-of-breed GPU-accelerated open source tools.
Keynote: Hacking is Childs Play, Literally!

Keynote: Hacking is Childs Play, Literally!

January 3, 2020

IoT is a buzz word but what does that mean? Internet of Things or Internet of Toys or Internet of Threats. In this keynote, 11 year old, Reuben Paul aka The Cyber Ninja would discuss and demonstrate h …
SUSI AI - Intelligent Open Source Personal Assistant as a Tool for Women Empowerment

SUSI AI - Intelligent Open Source Personal Assistant as a Tool for Women Empowerment

January 3, 2020

The SUSI AI project is inspired by personal assistants like Alexa Echo or Siri. However, the Open Source AI is programmed with Skills (AI Conversational Rules) by women in Vietnam and across Asia. Our …
Who Needs Network Management in a Cloud Native Environment?

Who Needs Network Management in a Cloud Native Environment?

January 3, 2020

Network management (and virtual network in particular) is hard. Cloud app developers find themselves dealing with too many options and too many settings, which make no sense. This is because Cloud API …
A Gentle Introduction to [e]BPF

A Gentle Introduction to [e]BPF

January 2, 2020

BPF is a Linux in-kernel virtual machine that is used for networking, tracing, seccomp and more. This talk will explore BPF in Linux from the bottom up, going from its roots in the BSD Packet Filter ( …