• Machine Learning & Data Meetup

    Empire State Building

    Join us for an evening of talks, discussion, and networking on the topic of industrial-scale data and machine learning. Learn how teams at companies such as LinkedIn and Google leverage large, rich datasets, and apply the latest in machine learning techniques to build useful applications - from improving UX of engaging in online discussions to inferring new relationships in LinkedIn’s economic graph and more. The evening will be structured around 3 talks, with opportunities for Q&A and networking. Food and drink provided! 1. "Inferring Enterprise Relationships from Professional Social Networking Data and Beyond" Abstract: Events and relationships among enterprises can provide valuable insights for understanding a company’s need in marketing, sales and recruiting. However, collecting and compiling this type of data at scale are often hard: there is no centralized authority (except publicly-traded companies which comprises a small fraction of enterprise entities) to mandate enterprises to report an event resulting in such changes. On the other hand, we observe that professional social network data contains rich information about such events and relationships, e.g., statements about one company acquiring another, or one company being a parent or subsidiary of another company. We start off with mining the titles of work experience text on LinkedIn and are able to harvest millions of M&A instances. We then align these instances with natural language text, through which a large labeled data set is curated. We then build a machine-learning pipeline to extract fresh M&A instances from news articles. Speaker Bio: Xiaoqiang Luo Xiaoqiang Luo is a Senior Engineer Manager and leads the data mining and machine learning efforts in the LinkedIn's NYC office. The team's mission is to utilize structured and unstructured data towards constructing LinkedIn's Economic Graph (https://www.linkedin.com/company/linkedin-economic-graph), and to help deliver the right information to the right individuals and enterprise at the right time. Before joining LinkedIn in 2015, he led a team of engineers and computational linguists to build the multi-lingual semantic understanding components at Google NYC that power many products with billions of users, such as Google Assistant, Photo search, and Local search. He received his Ph.D. in Electrical Engineering from The Johns Hopkins University. LinkedIn profile: https://www.linkedin.com/in/xqluo/. 2. "ML for good conversations at scale" https://jigsaw.google.com/ Abstract: Leveraging machine learning as a tool for better online discussions at scale. Using the Perspective API as a case study, this talk explore challenges and opportunities related to building scaled ML systems that help humans with subjective classification tasks (e.g. identifying toxic language). It will cover learnings on ML transparency and fairness, and examples of new human-centered product experiences using the outputs of a ML system (e.g. improving the UX of writing, moderating, and reading online discussions). Speaker Bio: CJ Adams is a Product Manager at Jigsaw, a team at Alphabet (Google) focused on building technology to help people facing emerging digital threats around the world. Currently he is the PM on Perspective, an API that aims to use ML as a tool to increase the participation, quality and empathy of online discussions. Previously he was the PM on Project Shield, a free DDoS mitigation service for news organizations. LinkedIn Profile: https://www.linkedin.com/in/adamscj/ 3. "Trajectories of Health: Insights from Electronic Health Records and Beyond" Bio: Yiye Zhang, Ph.D., MS is Assistant Professor at Weill Cornell Medicine, Cornell University. She received her Ph.D. in Information Systems Management at Carnegie Mellon University. Her research is concerned with developing health informatics methods and tools to assist clinical decision making for patients and caregivers. https://www.linkedin.com/in/yiye-zhang-0081a424/

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  • JavaScript Tech Talk

    Empire State Building

    Join us for an evening all about JavaScript. LinkedIn engineers Tom Dale, Chad Hietala and Robert Jackson will share some of the exciting developments happening in the world of frontend engineering. SCHEDULE 6:00 - 6:45pm - Registration & Welcome Mixer 6:45 - 7:05pm - Compilers: The Next Frontier in Web Performance by Chad Hietala 7:10 - 7:30pm - The Joy of TypeScript by Rob Jackson 7:35 - 8:00pm - JavaScript at Scale: Building Web Apps at LinkedIn by Tom Dale 8:00 - 8:45pm - Networking Mixer ABOUT THE TALKS Compilers: The Next Frontier in Web Performance The JavaScript community has been using compilers for little over a decade for optimizing and transforming our source code. From the initial introduction of minifers like YUI Compressor to source-to-source compilers like Babel, it's unquestionable the benefit that compilers have provided. With the introduction of technologies like WASM and projects like the Glimmer VM, you are starting to see the rise of compilers that aren't simply transforming JavaScript, but rather compiling source code into much lower level code. In this talk you will discover why more advanced compilers are at the core of the next evolution of web performance. JavaScript at Scale: Building Web Apps at LinkedIn LinkedIn has invested heavily in next-generation web application architectures and technology. In this talk, we'll cover what it takes for hundreds of engineers spread across different offices and time zones to build modern web applications. ABOUT THE SPEAKERS Chad Hietala is an Ember.js core team member and Senior Staff Software Engineer at LinkedIn who helped lead the charge to move LinkedIn to a Single Page App (SPA) design. He lead the effort to integrate the Glimmer VM rendering engine into Ember.js, and has contributed other major features to Glimmer. Robert Jackson is a Staff Software Engineer at LinkedIn, Ember.js core team member, and beer enthusiast. He is the engine that keeps Ember running, from helping new users in the community to fixing tricky regressions to managing releases to writing RFCs. Tom Dale is a Senior Staff Software Engineer at LinkedIn and co-creator of Ember.js. Previous to LinkedIn, he worked on the MobileMe/iCloud web applications at Apple, some of the first SPAs deployed by a major company.

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  • Apache Kafka Tech Talk

    Empire State Building

    PLEASE RSVP HERE -> https://kafkatechtalk.splashthat.com/ Agenda: 6:00 - 6:45pm - Registration & Welcome Mixer 6:45 - 7:30pm - URP? Excuse You! The Three Metrics You Have to Know by Todd Palino 7:30 - 8:15pm - SecDevOps for Apache Kafka and streaming systems by Joe Stein 8:15 - 9:00pm - Networking Mixer About the Speakers: Todd Palino - Todd is a Senior Staff Site Reliability Engineer at LinkedIn, tasked with keeping some of the largest Kafka and Zookeeper deployments fed and watered. Previously, he was a Systems Engineer at Verisign, developing service management automation for DNS, networking, hardware and operating systems. In his spare time, Todd is the developer of the open source project Burrow, a Kafka consumer monitoring tool, and can be found sharing his experience on both SRE and Apache Kafka at industry conferences and tech talks. He is also the co-author of Kafka: The Definitive Guide, available from O’Reilly Media. https://www.linkedin.com/in/toddpalino/ Joe Stein - Apache Kafka Meetup Organizer, Committer and PMC member. https://www.linkedin.com/in/charmalloc/

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