[Cross-Post] Empower Google Cloud Functions with Machine Learning

This is a cross post for a Google AI Huddle event. Feel free to RSVP either on this page or there - https://www.meetup.com/Google-AI-Huddle-Seattle/events/261512141/ Agenda: 5:30 - 6:15 networking 6:15 - 7:15 presentation 7:15 - 8:00 networking Presentation: Empowering Google Cloud Functions with Machine Learning Speaker: Hannes Hapke, Caravel AI, VP Engineering + AI GDE/ML Abstract:

May 31, 2019, 12:30 – 3:00 AM

RSVP'd

Key Themes

CloudMachine Learning

About this event

This is a cross post for a Google AI Huddle event. Feel free to RSVP either on this page or there - https://www.meetup.com/Google-AI-Huddle-Seattle/events/261512141/

Agenda:
5:30 - 6:15 networking
6:15 - 7:15 presentation
7:15 - 8:00 networking

Presentation: Empowering Google Cloud Functions with Machine Learning
Speaker: Hannes Hapke, Caravel AI, VP Engineering + AI
GDE/ML

Abstract: At Caravel, engineers are building conversational AI for eCommerce stores — work that heavily relies on serverless functions and machine learning models.

Due to the limitations of serverless functions, it often doesn't make sense to load the machine learning models directly in the cloud function.

In this talk, Hannes is sharing Caravel's work in integrating machine learning in Google Cloud functions. He is outlining how models are hosted on Google's AI Platform, how the serverless endpoints can interact with the model server and how TensorFlow Extended is simplifying the data preprocessing.

Taking advantage of Google Cloud Functions and models hosted on the AI Platform allows Caravel to scale to ever-changing demands for their applications, but still provides the full machine learning functionality.

Speaker Bio: Hannes Hapke is the VP of Engineering and AI at Caravel (caravelapp.com). Caravel's applications are built on serverless functions and a good number of machine learning models. Hannes is a Google Developer Expert and a co-author of machine learning publications like NLP in Action and upcoming O'Reilly publication on Machine Learning Workflows.

Organizers

  • Margaret Maynard-Reid

    GDG Organizer

  • Yenchi Lin

    GDG Organizer

  • clive boulton

    GDG

    Architect and Engineer

  • Vishal Pallerla

    GDG organizer

  • David Gamez

    GDG Organizer

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