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The AWS Summit in New York was held on Wednesday, July 10, 2024, where Dr. Matt Wood, VP of AI Products at AWS, delivered the day’s keynote on how to use data as a strategic asset for safe and responsible AI development. Below is a roundup of the biggest announcements from the event.
(This post was last updated: 4:43 PM EDT, July 11, 2024.)
AWS announcement of July 10, 2024
Introducing Amazon Q Developer in SageMaker Studio to streamline ML workflows
Streamline your ML workflows with this generative AI assistant that provides customized guidance, code generation, and debugging to efficiently build, train, and deploy models.
Knowledge Bases for Amazon Bedrock now supports additional data connectors (in preview)
Enhance business knowledge bases with new Amazon Bedrock connectors for Confluence, Salesforce, SharePoint, and web domains – powering RAG models with contextual data for more accurate and relevant answers.
Guardrails for Amazon Bedrock can now detect hallucinations and protect apps built with custom FM or third-party FM
Guardrails for Amazon Bedrock adds hallucination detection and an independent API to power generative AI applications with custom guardrails across any model, ensuring accountable and trustworthy outputs.
Agents for Amazon Bedrock now support memory retention and code interpretation (preview)
Agents for Amazon Bedrock now offer Memory to preserve user context and Code Interpreter to dynamically run code snippets—whether for data analysis, visualization, or complex problem solving.
Customize Amazon Q Developer (in your IDE) with your private codebase
Unlock hyper-relevant code suggestions tailored to your code base; increase productivity with Amazon Q Developer private customization while maintaining robust privacy and security standards.
Amazon Q Apps, now generally available, allows users to create their own generative AI applications
Build generative AI applications from conversations using natural language and approved data sources. Customize securely shared apps, specify per-card data sources, and new APIs for programmatic app management.
Build natural language business apps with AWS App Studio (preview)
Easily build apps with low-code tools powered by artificial intelligence, enabling organizations to build secure custom apps in minutes without development teams—simplifying processes like claims, inventory, and approvals.
Vector search for Amazon MemoryDB is now generally available
Store, index, restore, and search vectors with in-memory performance for use cases such as search expansion, semantic caching, and anomaly detection through single-digit millisecond queries.
AWS announcement of July 9, 2024
Integrate your data and collaborate using data preparation in AWS Glue Studio
With AWS Glue’s new visual interface, data teams can collaborate to build ETL pipelines and bridge the gap between analysts and engineers through an intuitive and shared canvas.
Announcing an increase in Amazon FSx capabilities
Amazon FSx for NetApp ONTAP next-generation file systems now deliver up to 18x performance at scale to support larger file-based workloads such as electronic design automation (EDA), visual effects rendering (VFX), machine learning training pipelines, and petabyte-scale database. Next-generation file systems can be created or expanded with up to 12 pairs of highly available file servers, providing 50% higher baseline throughput and up to 300% higher network burst throughput than previous generations. This provides up to 72 GB/s of total throughput and up to 1 PiB of provisioned SSD storage.
Quickly access shared data using NVMe-over-TCP as a modernized, simplified, and faster alternative to iSCSI block storage, and get the ability to read data from a volume while restoring it from backup to access data in minutes. start recovery.
In addition, Amazon FSx for OpenZFS announced a highly available Single-AZ deployment option offering high availability and consistent sub-millisecond latencies for workloads that can benefit from high availability but do not require multi-zone resiliency.
