In March 2025, AWS introduced the overall availability of the following era of Amazon SageMaker, together with Amazon SageMaker Unified Studio, a single information and AI growth surroundings that brings collectively the performance and instruments from current AWS Analytics and AI/ML companies, together with Amazon EMR, AWS Glue, Amazon Athena, Amazon Redshift, Amazon Bedrock, and Amazon SageMaker AI. You’ll be able to uncover information and AI belongings from throughout your group, then work collectively in tasks to securely construct and share analytics and AI artifacts, together with information, fashions, and generative AI purposes in a trusted and safe surroundings. Governance options together with fine-grained entry management are constructed into Amazon SageMaker Unified Studio utilizing Amazon SageMaker Catalog that can assist you meet enterprise safety necessities throughout your total information property. Unified entry to your information is offered by a unified, open, and safe information lakehouse structure constructed on Apache Iceberg open requirements. Whether or not your information is saved in Amazon Easy Storage Service (Amazon S3) information lakes, Amazon Redshift information warehouses, or third-party and federated information sources, you may entry it from one place and use it with Iceberg-compatible engines and instruments.
AWS for Monetary Companies is a pioneer on the intersection of economic companies and know-how, enabling our prospects to optimize operations and push the boundaries of innovation with the broadest set of companies and accomplice options—all whereas sustaining safety, compliance, and resilience at scale. Monetary establishments are utilizing AI and machine studying (ML), and generative AI companies on AWS to rework their organizations quicker and in methods by no means earlier than doable. With Amazon SageMaker Unified Studio, monetary companies business (FSI) prospects can seamlessly work throughout completely different compute assets and clusters utilizing unified notebooks, together with generative AI–powered troubleshooting capabilities, and use the built-in SQL editor to question information saved in information lakes, information warehouses, databases, and purposes.
Workshops
On this publish, we’re excited to announce the discharge of 4 Amazon SageMaker Unified Studio publicly out there workshops which can be particular to every FSI section: insurance coverage, banking, capital markets, and funds. These workshops might help you discover ways to deploy Amazon SageMaker Unified Studio successfully for enterprise use instances. Comply with the hyperlinks for every FSI use case listed within the following desk to get began for these self-paced workshops.
| FSI use case | Description |
| Insurance coverage | On this workshop, you’ll use Amazon SageMaker Unified Studio and analytics companies to rework your insurance coverage enterprise challenges into alternatives. It gives hands-on expertise in growing data-driven, generative AI–powered options for insurance coverage that ship measurable enterprise worth. |
| Banking | On this workshop, you’ll discover how main retail banks can unlock enterprise worth by utilizing Amazon SageMaker Unified Studio to construct, scale, and govern end-to-end information analytics and ML workflows. The workshop walks you thru a reference structure and curated banking-specific datasets protecting frequent retail banking use instances, reminiscent of buyer segmentation, fraud detection, churn prediction, and generative AI purposes like customized communication. |
| Capital Markets | On this workshop, you’ll use Amazon SageMaker Unified Studio to investigate commerce and quote information for the S&P 500 shares to generate insights. The information is saved in varied codecs throughout completely different sources. This resolution will unify the information from disparate sources utilizing a lakehouse structure and supply crew members flexibility to entry the information utilizing acquainted SQL constructs. |
| Funds | On this workshop, you’ll use Amazon SageMaker Unified Studio and analytics companies to allow organizations to ingest, retailer, course of, and analyze cost information, supporting wants from information ingestion and storage to huge information analytics, streaming analytics, enterprise intelligence, and machine studying. |
Conclusion
We admire your feedback and suggestions to assist us speed up adoption of Amazon SageMaker Unified Studio for monetary companies workloads. Contact your AWS account crew to have interaction a FSI specialist options architect if you happen to require further professional steerage.
Study extra about AWS for monetary companies, buyer case research, and extra assets on our Monetary Companies web site.
Concerning the authors
