Free MVP Tech Show - London

#Meet Up

MVP Tech Show - London

Hosted by Alibaba Cloud

MVP Tech Show - London

Alibaba Cloud
Register now

Multi-Cloud for the Digital Silk Road


  • 18:00 - 18:15 Registration

  • 18:15 - 19:00 Multi-Cloud for the Digital Silk Road by Jamil Ahmed
    For Western companies doing business in mainland China, digital connectivity can be a huge challenge when you're having to contend with the "Great Firewall of China" restricting or slowing down cross-border Internet connectivity. Could a multi-cloud solution help?

  • 19:00 – 19:15 Break

  • 19:15 - 20:00 Bring a Machine Learning app in Managed Kubernetes in 10 Minutes by Dr. Jianhua Shao

    Kubernetes makes deployments of machine learning (ML) workflows on simple, portable and scalable. Before Kubernetes, gaps between Machine Leaning engineers and Platform Technology engineers exists, as two domain required different skill sets. Thanks to Kubernetes, new trend such as AIOps, reduces the gap and makes data scientist can easily complete their work and excellence, even for a production purpose. In this session, we will discuss the latest kubernetes development for data science, such as kubeflow and arena. And then, demonstrate setting up K8s managed clusters, deploying Jupyter Notebook data science environment, training machine learning model in a distributed running environment and deploying prediction application in cloud native.

  • 20:00 - 20:30 Q&A

Speaker Introduction:

Jamil Ahmed

A senior middleware specialist with an in-depth knowledge of enterprise messaging products and architectures. This experience is across a variety of deployed use cases and institutions, in different capacities such as in-house service owner and vendor consultant, as well as different contexts such as operational support and strategic engineering.

Dr.Jianhua Shao

Dr.Jianhua Shao is a data science solution architect in Alibaba Cloud. Although London based, he works to design and deliver Alibaba cloud solution for Alibaba global customers, with a primary focus in data, AI and finance. Before Alibaba, he worked as a data scientist in Barclays Bank (London), T-Mobile (Berlin), China Mobile (Beijing), Cass Business School (London), University College Dublin (Ireland) and several startups. He has PhD degree in digital economy and BSc degree in computer science.

Food and drink will be provided.