Webinar

Webinar

For all online tech talks, you can listen, watch, and Q&A with speaker from anywhere in the world.  Some talks are recorded and videos will be available on youtube.

Subscribe to the newsletter below to get notification when new live tech talk is scheduled. Also join the local meetup and study groups in Seattle, SF/Bay Area, LA, NYC, Boston, Chicago, Toronto, Austin , VancouverPortland, Salt Lake City, Denver, Atlanta, Phoenix, San Diego. London


Up Coming


  • Date: 10/2/2018, 10am PDT

  • Title: AI for Software Testing
  • Abstract: AI will fundamentally transform software testing. Testers make quick judgments based on data. AI makes even quicker judgments based on far more data. No area of software testing will be left unchanged by AI. In this presentation, Jason demonstrates how AI is directly applicable to all aspects of testing: functional regression automation, exploratory testing, test data generation, performance, and even qualitative measures of quality such as trustworthiness, usability, and more. Jason applies neural networks, reinforcement learning, and clustering to testing problems and shares the methods and results. Jason also discusses how AI makes test artifacts reusable, and how this will change software testing forever. Join and see the future of software testing powered by AI.
  • Speaker:  Jason Arbon, CEO at test.ai
  • Maximum Seats:  100.


  • Date: 10/2/2018, 6:00-7:0pm PDT
  • Title: Uber Cadence: Fault Tolerant Actor Framework
  • Abstract:The actor model is a popular architecture for building large-scale distributed applications. Cadence extends this model with the ability to preserve an actor state, including its threads of control and local variables. Such fault-tolerant actors are not linked to any particular hosts and can be used to implement long-running business processes in a reliable and scalable manner. This talk presents the Cadence programming model with Java examples, as well as an overview of its deployment topology and recovery algorithm.
  • Speaker: Maxim Fateev, Staff Engineer at Uber.
  • Maximum Seats:  100.


  • Date: 10/18/2018, 9:00-10:00am PDT
  • Title: Distributed Machine Learning services and Android
  • Abstract:Machine Learning and Artificial Intelligence represent an exciting opportunity for all of us to stop working on repetitive tasks, to improve the velocity and precision of data analysis, and to get an insight on complex and simple problems of everyday life.
    How many times did you find yourself hungry around the city struggling to find a restaurant that matches your foodie preferences? How tired are you about setting your food preferences in apps that are supposed to help you when starving?
    Using ML and AI, and consuming the data feed exposed on various social media, is possible to automatically generate a model to describe the food preferences of any user at any time. With such model, it is possible to provide contextual recommendations that matter to a foodie.
  • What will I learn:
    During this session, you will learn how to define, build, train, and deploy a machine learning model on the Amazon SageMaker infrastructure, how to feed the model with the data that come from a user social media accounts, and how to consume the SageMaker endpoints and display the food recommendations in an Android app.
  • Difficult Level:
    intermediate.
  • Speaker: Giorgio Natili, Amazon
  • Maximum Seats:  100.


Past Events


  • Date: 9/19/2018, 7:00-8:30pm PDT
  • Title: Advanced Image Recognition with Mask R-CNN
  • Speaker: Aniket Rangrej, Data Scientist II, FogHorn Systems, Ravi Ilango, Sr Data Scientist, FogHorn Systems.

  • Date: 9/18/2018, 5:30-8:00pm PDT
  • Title: Live Workshop on Chatbot Development
  • Speaker:  engineers from Oracle

  • Date: 9/11/2018, 9:00-10:00am PDT
  • Title: Anti-Spoofing in Face Recognition
  • Speaker: TaeWoo Kim, AI engineer from one smart lab

  • Date: 8/27/2018, 6:30-8:30pm PST
  • Title: Faster Data Science & Best Practices for Building AI-enabled applications

  • Date: 8/21/2018, 10:00-11:00am PST
  • Title: An Active Learning Approach to Image Recognition
  • Speaker: Humayun Irshad, Lead Machine Learning Scientist from Figure Eight

  • Date: 8/15/2018, 7:00-8:00pm PST
  • Title:Data Warehouse Built for the Cloud with Snowflake
  • Speaker: Andrew Songer, Regional Director for Snowflake Computing

  • Date: 7/26/2018,  7:00 pm PST
  • Title:Natural Language Understanding at Facebook
  • Speaker:  Baiyang, Research Scientist,Facebook.

  • Date: 7/19/2018,  7:00 pm PST

  • Title: Voice User Interface: Dialogflow on Google Cloud Platform
  • Speaker:  Matt Buck, CTO of  Voxable and a Google Developer Expert.

  • Date:  7/18/2018,  10:00am  PST
  • Title: End to End Data Science Without Leaving the GPU
  • Speaker: Randy Zwitch, Senior Developer Advocate at MapD

  • Date:  7/13/2018,  10:00am  PST
  • Title:Deploying your Machine Learning models in the real world
  • Speaker: Jon Peck, Developer from Algorithmia

    Date:  6/27/2018,  6:30pm  PST

  • Title:  Streaming SQL, Kinesis at Lyft and Apache Calcite
  • Speaker:Tyler Akidau(Google), Hafiz Hamid (Lyft), Julian Hyde (Looker)

  • Date:  6/26/2018,  6:00pm  PST
  • Title: Deep Learning at the edge with Intel
  • Speaker: Ashwin, Intel

  • Date:  6/25/2018,  7:00pm-8:00pm PST
  • Title:  Image classification using transfer learning with BigDL for Apache Spark
  • Speaker:Sergey, team leader and project manager at Intel

  • Date:  6/20/2018,  6:30pm-8:00pm PST
  • Title: Security data science at cloud scale at Microsoft
  • Speaker: Yogesh, Microsoft Azure

  • Date:  6/20/2018,  7:00pm-8:00pm PST
  • Title: Combine Physical and Statistical Models to narrow Uncertainty in Global Warming
  • Speaker: Patrick, research scientist at Stanford

  • Date:  6/13/2018, 6:30pm-8:00pm PST
  • Title: Google/LinkedIn – ML with Kubeflow and Random Walk with Spark
  • Speakers: Jeremy (Google), Min (LinkedIn), Bradley (google)

  • Date:  6/6/2018,  10:30am-11:30am PST
  • Title: When AI meet experiment at Uber
  • Speaker:  Suman, Senior Data Scientist, Uber

  • Date:  5/31/2018,  5:00pm-7:00pm PST
  • Title: Learning from Aggregated Data
  • Speaker:Professor Joydeep Ghosh is currently the Schlumberger Centennial Chaired Professor at UT Austin.

  • Date:  5/29/2018, Tue,  7:00pm-8:00pm PST
  • Title: AutoML: Using AI to Build AI
  • Speaker: Ning, CTO of Oneclick.ai, previously senior dev manager at Microsoft.

  • Date:  5/25/2018, Fri,  10:00am-5:00pm PST
  • Title: Building Conversational Experiences with Actions on Google
  • Speaker: Nick, Jessica, Google Engineer

  • Date:  5/16/2018, Wednesday 6:30pm-8:00pm PST
  • Title: Deep Learning Models and Methods for Speech by Intel AI
  • Speaker: Oguz,  Research Scientist at Intel

  • Date:  5/9/2018, Wednesday 7:00pm-8:00pm PST
  • Title: Amazon Lambda and the Transition to Cloud2.0
  • Speaker: Jack Mills

  • Date: 4/18/2018, Wednesday 7:00pm-8:00pm PST
  • Title:Using NLP and Machine Learning to improve customer care at Uber
  • Speaker: Huaixiu, Senior Data Scientist in Uber

  • Date: 4/12/2018, Thursday 9:00am-10:00am PST
  • Title: Deep Learning for building intelligent systems
  • Speaker: Jeff Dean, Google Senior Fellow
  • Keynote at AI NEXTCon SF 4/10-13, 2018.

  • Date: 4/12/2018, Thursday 11:00am-12:00am PST
  • Title: Visual discovery at Pinterest
  • Speaker: Jure Leskovec, Chief Scientist of Pinterest
  • Keynote at AI NEXTCon SF 4/10-13, 2018.