Sudhir Gupta

Healthcare organizations need to streamline clinical workflows without compromising accuracy or compliance. Manual verification of ICD-10 codes leads to costly, inefficient radiology billing processes.

Successful generative AI projects are built on solid data foundations that include data quality, data privacy, and data governance tools and techniques. Join this workshop to get hands-on experience building a chatbot for a regulated scenario, such as financial services.

AWS can help organizations quickly get answers from data by providing mature and integrated analytics services ranging from cloud data warehouses to serverless data lakes. Join this session to learn about AWS modern data architecture and how AWS analytics services can help your customers navigate data challenges, optimize analytics processes, and deliver insights to their businesses faster.

Amazon Redshift is a fast, fully managed, petabyte-scale, cloud-native analytics data warehouse. A large number of organizations are migrating their current data warehousing systems into Amazon Redshift to take advantage of better performance and scale, lower costs, the ease of use of a managed service, and data lake integration.

Building a data lake can be a headache. More often than not, they end up becoming data swamps—bottomless pits that suck up development resources and obscure data transparency.