Introduction

Digital businesses require digital decisions, and digital decisions rely on intelligence and timely insights. As digital transformation takes center stage, enterprises can no longer rely solely on historical descriptive insights from traditional business intelligence (BI) solutions. Today, they need predictive analytics and machine learning solutions to predict the future of their business to improve customer experience (CX), achieve operational excellence, and drive innovation. Machine learning is a core competency that every enterprise must have and is a key pillar of artificial intelligence (AI).

Alibaba Cloud in the Report

Alibaba Cloud provides a robust PAML offering in the public cloud in China. Alibaba Cloud launched its PAI machine learning platform in January 2018. It has become one of the very few local vendors that support visual tools and coding interfaces for machine learning in a public cloud environment. Alibaba Cloud supports a series of machine learning algorithms and deep learning frameworks, such as TensorFlow, MXNet, and Caffe. Its A/B testing and traffic-switching capabilities provide agility for enterprise customers to stage and test insight-driven applications. Alibaba Cloud has an aggressive product road map, which will significantly increase its PAML competencies as well as its interoperability with other development and application services, such as cloud data warehouses.