Tag: Esra Kayabali

Amazon Bedrock is expanding its foundation model (FM) offerings as the generative AI field evolves. Today, we’re excited to announce the availability of Anthropic’s Claude 3.7 Sonnet foundation model in Amazon Bedrock. As Anthropic’s most intelligent model to date, Claude 3.7 Sonnet stands out as their first hybrid reasoning model capable of producing quick responses or extended thinking, meaning it can work through difficult problems using careful, step-by-step reasoning. Additionally, today we are adding Claude 3.7 Sonnet to the list of models used by Amazon Q Developer. Amazon Q is built on Bedrock, and with Amazon Q you can use the most appropriate model for a specific task such as Claude 3.7 Sonnet, for more advanced coding workflows that enable…

Today, I’m happy to announce the general availability of network activity events for Amazon Virtual Private Cloud (Amazon VPC) endpoints in AWS CloudTrail. This feature helps you to record and monitor AWS API activity traversing your VPC endpoints, helping you strengthen your data perimeter and implement better detective controls. Previously, it was hard to detect potential data exfiltration attempts and unauthorized access to the resources within your network through VPC endpoints. While VPC endpoint policies could be configured to prevent access from external accounts, there was no built-in mechanism to log denied actions or detect when external credentials were used at a VPC endpoint. This often required you to build custom solutions to inspect and analyze TLS traffic, which could…

As winter maintains its hold over where I live in the Netherlands, rare moments of sunlight become precious gifts. This weekend offered one such treasure—while cycling along a quiet canal, golden rays broke through the typically gray Dutch sky, creating a perfect moment of serenity. These glimpses of brightness feel particularly special during January, when daylight can be scarce in our corner of Europe. As we move deeper into 2025, the third week of the new year brings both reflection and forward momentum. While global conversations swirl around technological advancements, it’s these small, personal moments that remind us to pause and appreciate the simple pleasures among our rapidly evolving world. Let’s look at the last week’s new announcements. Last week’s…

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. At its core is SageMaker Unified Studio (preview), a single data and AI development environment for data exploration, preparation and integration, big data processing, fast SQL analytics, model development and training, and generative AI application development. This announcement includes Amazon SageMaker Lakehouse, a capability that unifies data across data lakes and data warehouses, helping you build powerful analytics and artificial intelligence and machine learning (AI/ML) applications on a single copy of data. In addition to these launches, I’m happy to announce data catalog and permissions capabilities in Amazon SageMaker Lakehouse, helping you…