This is a guest post co-authored by Taylor Names, Staff Machine Learning Engineer, Dev Gupta, Machine Learning Manager, and Argie Angeleas, Senior Product Manager at Ibotta. Ibotta is an American technology company that enables users with its desktop and mobile apps to earn cash back on in-store, mobile app, and online purchases with receipt submission, linked retailer loyalty accounts, payments, and purchase verification. Ibotta strives to recommend personalized promotions to better retain and engage its users. However, promotions and user preferences are constantly evolving. This ever-changing environment with many new users and new promotions is a typical cold start problem--there is no sufficient historical user and promotion interactions to draw any inferences from.

In a world profoundly impacted by the pandemic, machine learning and AI has offered powerful new ways to adapt and face pressing business challenges. To learn more about the unique opportunities ML offers, best practices for leveraging the technology, and more, don't miss this VB Live event. But the situation has presented an opportunity to reimagine the customer experience and buying journey, employee experiences, new ways of working, and how we interact as a society, says Michelle K. Lee, Vice President of the Amazon Machine Learning Solutions Lab, AWS. With the proliferation of data and virtually unlimited quantities of specialized computing power available via the cloud, machine learning can help businesses make faster, more informed decisions, create efficiencies in processes, open up new revenue streams, and usher in a new wave of innovation that wasn't possible before. Businesses that have embraced new ways to meet the customer where they are will have a significant competitive advantage.

The healthcare industry is a highly regulated and complex industry where a great deal of information exchange occurs via verbal communication. This audio data can contain valuable information and actionable insights. This post explores how to integrate HIPAA-eligible AWS AI services Amazon Transcribe Medical and Amazon Comprehend Medical to identify insights in this data. Automating medical data extraction and comprehension helps healthcare professionals focus on patient care. Amazon Transcribe Medical is a machine learning (ML) service that makes it easy to quickly create accurate transcriptions from medical consultations between patients and physicians.