Today, I’m very excited to announce the general availability of Amazon SageMaker Lakehouse, a capability that unifies data across Amazon Simple Storage Service (Amazon S3) data lakes and Amazon Redshift data warehouses, helping you build powerful analytics and artificial intelligence and machine learning (AI/ML) applications on a single copy of data. SageMaker Lakehouse is a part of the next generation of Amazon SageMaker, which is a unified platform for data, analytics and AI, that brings together widely-adopted AWS machine learning and analytics capabilities and delivers an integrated experience for analytics and AI. Customers want to do more with data. To move faster with their analytics journey, they are picking the right storage and databases to store their data. The data…
Tag: Esra Kayabali
Discover, govern, and collaborate on data and AI securely with Amazon SageMaker Data and AI Governance
Today, we announced the next generation of Amazon SageMaker, which is a unified platform for data, analytics, and AI, bringing together widely-adopted AWS machine learning and analytics capabilities. This announcement includes Amazon SageMaker Data and AI Governance, a set of capabilities that streamline the management of data and AI assets. Data teams often face challenges when trying to locate, access, and collaborate on data and AI models across their organizations. The process of discovering relevant assets, understanding their context, and obtaining proper access can be time-consuming and complex, potentially hindering productivity and innovation. SageMaker Data and AI Governance offers a comprehensive set of features by providing a unified experience for cataloging, discovering, and governing data and AI assets. It’s centered…
Announcing the general availability of data lineage in the next generation of Amazon SageMaker and Amazon DataZone
Today, I’m happy to announce the general availability of data lineage in Amazon DataZone, following its preview release in June 2024. This feature is also extended as part of the catalog capabilities in the next generation of Amazon SageMaker, a unified platform for data, analytics, and AI. Traditionally, business analysts have relied on manual documentation or personal connections to validate data origins, leading to inconsistent and time-consuming processes. Data engineers have struggled to evaluate the impact of changes to data assets, especially as self-service analytics adoption increases. Additionally, data governance teams have faced difficulties in enforcing practices and responding to auditor queries about data movement. Data lineage in Amazon DataZone addresses the challenges faced by organizations striving to remain competitive…
Introducing Amazon GuardDuty Extended Threat Detection: AI/ML attack sequence identification for enhanced cloud security
Today, I’m happy to introduce advanced AI/ML threat detection capabilities in Amazon GuardDuty. This new feature uses the extensive cloud visibility and scale of AWS to provide improved threat detection for your applications, workloads, and data. GuardDuty Extended Threat Detection employs sophisticated AI/ML to identify both known and previously unknown attack sequences, offering a more comprehensive and proactive approach to cloud security. This enhancement addresses the growing complexity of modern cloud environments and the evolving landscape of security threats, simplifying threat detection and response. Many organizations face challenges in efficiently analyzing and responding to the high volume of security events generated across their cloud environments. With the increasing frequency and sophistication of security threats, it has become more challenging to…