Log In to Continue

Please fill the correct email

If you haven't signed up, please do so by filling out the form on the right → Please sign up for the webinar.

Image Identification with Alibaba Cloud Data Intelligence Platform

Wednesday, Jul. 29, 2020 | 11:00 AM - 12:00 PM UTC+8

View More

Overview

Alibaba Cloud Machine Learning Platform (PAI) offers an easy to use, UI driven solution for Image Identification, as PAI Auto Learning - Object Detection. Auto Learning is an automatic machine learning platform of Alibaba Cloud Machine Learning Platform for AI. Auto Learning can help you train high-quality models based on small amounts of labelled data. With Auto Learning, you no longer need to learn AI knowledge, compile code, or manually tune parameters.

This webinar takes you through how PAI - Auto Learning works and illustrates how this is being used in a retail business scenario to track the product run down from sales rack directly.

Big Data Webinar Series :

  • Topic I - Customer Segmentation Using Alibaba Cloud AnalyticDB >> Sign Up>>
  • Topic II - Smart Product Recommendations Solutions for Retail >> Sign Up >>

Topics

1) Introduction
2) Benefits of Image Identification
3) Hands on Demo

Scan QR Code to Join Alibaba Cloud Malaysia Developer DingTalk Group
We will be sending out the confirmation email of ACA Big Data Certification Exam within a week after the webinar, feel free to reach out to us at Alibaba.Cloud.MY@alibaba-inc.com if you have further inquiries, thank you!

Speaker(s)

  • Sijukumar Kumaran

    Staff Solution Architect, Alibaba Cloud

    Siju is from global data intelligence team, and a seasoned solution architect, focusing Asia Pacific regions since he joined Alibaba Cloud in Jan 2018. Siju helps customers to strategize and transform their business through Alibaba Cloud big data and artificial intelligence platforms.

Sign Up Now

Log in with your Alibaba Cloud account to sign up for this webinar.

Or fill out the form below to sign up.

Thank you for signing up. Sign up for Other Users

Sign Up for the Webinar