Featured Video: The Big Wave of AI at Scale
Featured Blog:
AIOps with Azure Metrics Advisor
Watch the ML Essentials series to get familiar with machine learning products and services from Azure and see how to bring these components together to build your own machine learning models.
Lesson 1: Model Deployment and Inferencing
Lesson 2: MLOps
Lesson 3: Hybrid and Multi-Cloud Machine Learning
Lesson 4: Openness and Interoperability of Machine Learning Environments
Lesson 5: Training ML Models at Scale
Lesson 6: Securing your Machine Learning Environments
Featured Blogger of the Month & More Content
Featured Speakers of the Month:
Tony Xing
Qiyang Li
About the authors
Tony Xing, Principal PM Manager, Azure AI at Microsoft is leading the creation of decision intelligence
products including Azure Metrics Advisor and Anomaly Detector. These products help organizations to protect their growth engine by extracting intelligence from their operation data and improve business efficiency. Tony’s career span over 20 years in data and AI. Prior to his current role, Tony held various PM and engineering roles within the company across Office, Skype, Bing… Prior to joining Microsoft, Tony held Engineering and Product Management positions in various companies, focusing on mobile and large-scale data processing and analytics.
Qiyang is an AI Product Manager in Microsoft with 6+ years of experience in big data processing,
analytics as well as data-driven intelligent service powered by machine learning technologies. Qiyang is a real fan of digital transformation and passionate about working with customers to reinvent their business using cutting edge AI technologies. Out of a team who deals with big data, Qiyang gets a strong sense of how important the data is, and the magic can be achieved through AI.
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