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 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.