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, Paris, Berlin, Sao Paulo,

Join our slack channel for live discussion on each tech talks:  invite


Up Coming


we are moving online AI tech talks to new website for easily registration and managing all talks.


  • Date: 12/4/2018, 10:00-11:00am PT
  • Title: Focus on Your Code, Not Infrastructure, with Google Cloud Functions
  • Abstract:  When you build a backend to a web app or mobile app, you want to focus on your business logic, not on your infrastructure. At the same time, you want the infrastructure to always be there for you, ready to run your code. Google Cloud Functions does that for you.
    In this talk, we will follow the story of the fictional startup “In Jest”, publishers of an app that tells jokes. At first, the developers at “In Jest” need to get a minimum viable product up and running in an hour. As their business grows they will have to integrate with Google Sheets, SQL databases, analytics systems, marketing systems and so on. We will see the code used to make this happen, without having to worry the team about servers and data centers.

    What will Learn:
    *Build a scalable public service with minimum codes.
    *Write and deploy Google Cloud Functions.
    *Enable agile development by decoupling components in Cloud.

  • Speaker: Martin Omander, Google Cloud Developer Advocate
  • Maximum Seats:  200.
  • Registration:  new website

  • Date: 11/27/2018, 10:00-11:00am PT
  • Title: Machine Learning Pipelines
  • Abstract: Kubeflow pipelines are reusable end-to-end ML workflows built using the Kubeflow Pipelines SDK. The Kubeflow pipelines service has the following goals: * End to end orchestration: enabling and simplifying the orchestration of end to end machine learning pipelines; *Easy experimentation: making it easy for you to try numerous ideas and techniques, and manage your various trials/experiments. *Easy re-use: enabling you to re-use components and pipelines to quickly cobble together end to end solutions, without having to re-build each time.
    Kubeflow pipelines are implemented on top of Kubernetes so it is highly portable and also supports hybrid solutions. Although it is on K8s, users of pipelines does not need to understand anything about Kubernetes or docker. They are given the familiar tools: Python + Jupyter notebooks to create their pipelines and pipeline components..
  • Speaker:  Bradley Jiang, Tech Lead in Google
  • Maximum Seats:  200.
  • Registration:  new website

Past Events


  • Date: 11/20/2018, 6-7:00pm PT
  • Title:AI for Software Testing
  • Speaker: Jason Arbon, CEO @ test.ai

  • Date: 11/14/2018, 7:15-9:00pm PT
  • Title: The Data Analytics of Application Scaling
  • Speaker:Neil Gunther, a researcher specializing in performance analysis and capacity planning of large-scale applications

  • Date: 11/13/2018, 6:30pm-8:00pm PT
  • Title:  Next Generation Open Source Data Infra
  • Speaker: Ryan Blue from Netflix, Li Gao, tech lead from Lyft

  • Date: 11/14/2018, 10:00-11:00am PT
  • Title: Distributed Machine Learning services and Android
  • Speaker: Giorgio Natili , Amazon.

  • Date: 11/6/2018, 10:00-11:00am PT
  • Title: Autonomous Optimization: Leveraging AI for Quality & Growth
  • Speaker: Olcan Sercinoglu, Founder & CEO of Scaled Inference.  previously an engineer in Google Brain.

  • Date: 11/1/2018, 7:00pm PT
  • Title: Accelerating Computation of DNN and TonY: Distributed TensorFlow on Hadoop
  • Speakers:  Prof. Chen (Duke University), LinkedIn Team.

  • Date: 10/30/2018, 10:00-11:00am PDT
  • Title: 5 Practical Step to a Successful Deep Learning Research
  • Speaker: Amir Alush, CTO of Brodmann17

  • Date: 10/23-10/26,  Voice and Chatbot Developer Week
  • Speaker: Google, Amazon, IBM Watson

  • Date: 10/22/2018, 7:00-8:00pm PT
  • Title:  SDN: Changing Only Everything About Networking (and IT)
  • Speaker:Dan Pitt is a computer scientist and engineer

  • Date: 10/17/2018, 6:30-8:30pm PDT
  • Title:  Lyft Payments platform tech talks
  • Speaker: tech leads from Lyft, Netflix and airbnb

  • Date: 10/16/2018, 9:00am-12:00pm PDT
  • Title:  Workshop:  GPU-Accelerated Interactive Exploratory Big Data Analysis

  • Date: 10/2/2018, 6:00-7:0pm PDT
  • Title: Uber Cadence: Fault Tolerant Actor Framework
  • Speaker: Maxim Fateev, Staff Engineer at Uber.

  • 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.