Please enter the email you used to sign up for this webinar.
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.
Thursday, Mar. 1, 2018 | 9:00 AM - 10:00 AM UTC+8:00
Learn how Alibaba Cloud's MaxCompute can help build an end-to-end recommendation engine to boost online retail through this event recording of a demonstration held in Melbourne, Australia. Background Personalized recommendation is a key feature of Alibaba Cloud’s new retail solution. Ninety percent of the revenue generated at the 2017 Alibaba Global Shopping Festival came from mobile devices that leveraged technologies such as recommendation engines. There are many ways to implement a recommendation engine in the market but a key challenge is how to store and process a vast amount of user behavior data in a cost-effective and efficient way. Watch this recorded event as Alibaba Cloud Senior Solution Architect Sabith reveals how the Alibaba Cloud Big Data platform and product MaxCompute can help build an end-to-end recommendation engine to support your business.
Sabith is a top-level technologist with proven consultancy skills
Sabith is a top-level technologist with proven consultancy skills who uses leadership and technical experience to guide customers, partners and internal teams to craft highly scalable, flexible and resilient Private, Public and Hybrid Cloud architectures that address customer business needs and accelerate the adoption of cloud services. As a trusted advocate, Sabith helps organizations develop a cloud strategy for the transformation of their IT landscape to IT-as-a-Service and provides best practices around advanced cloud-based solutions and workload migrations.
Log in with your Alibaba Cloud account to sign up for this webinar.Log In with Alibaba Cloud Account
Or fill out the form below to sign up.
Thank you for signing up. Sign up for Other Users
1. How likely would you be to recommend this presentation to a friend or colleague?
2. How useful was the content of this webinar to you?
3. Was the webinar's subject matter presented effectively?