Machine learning can help your organization imagine new products or services, transform customer experiences, streamline business operations, improve decision-making, and much more. However, organizations find it difficult to scale such initiatives due to limited market of skilled professionals. At AWS, we are building a new wave of data and analytics tools enabling the development of sophisticated insights with little upskilling required. In this session, learn the easy-to-use machine learning features and capabilities integrated with AWS Analytics services such as AWS Glue, Amazon Kinesis Data Analytics, Amazon OpenSearch, Amazon Athena, Amazon Redshift and Amazon QuickSight which helps scaling ML at every stage of your analytics pipeline, beyond the role of data scientists to a more varied set of personas such as data engineers, database developers, data analysts, BI professionals, and the line of business.
Speaker: Niladri Bhattachrya, Senior Analytics Specialist Solutions Architect, AWS