Using big data, the cloud, and AI to enable intelligence at scale (sponsored by Microsoft)

Wee Hyong Tok and Danielle Dean explain how the global, trusted, and hybrid Microsoft platform can enable you to do intelligence at scale, describing real-life applications where big data, the cloud, and AI are making a difference and how this is accelerating the digital transformation for these organizations at a lighting pace.

Big data, the cloud, and AI together empower organizations to transform data into intelligent action in applications such as computer vision (OCR, understanding the visual content found in an image), understanding sentiments, identifying key phrases/topics, natural language processing, understanding the intent of a customer, and many more. But to succeed, organizations need to be able to collect, store, process, and apply machine learning and AI at scale. As the data volume grows over time, organizations need to have the processing capacity to meet their organization needs—scaling up compute resources as needed to meet a deadline for delivering insights and scaling down again when they are no longer needed. Wee Hyong Tok and Danielle Dean explain how the global, trusted, and hybrid Microsoft platform can enable you to do intelligence at scale, describing real-life applications where big data, the cloud, and AI are helping organizations create applications and experiences that are more intuitive, more conversational, and simply more intelligent and how this is accelerating the digital transformation for these organizations at a lighting pace, allowing them to deeply understand and delight their customers. This session is sponsored by Microsoft.