Amazon Web Services showcased new AI tools and focused on data security at its recent AWS Summit in New York, while the introduction of a prompt-based low-code app builder called AWS App Studio headlined the event.
AI security takes center stage: Much of the conversation at the summit dealt with making people comfortable with the results they get from generative AI and ensuring data privacy:
- AWS VP for AI Products Matt Wood emphasized that AWS doesn’t use customer data to improve its underlying models and doesn’t have humans reviewing information inside a customer’s virtual environment.
- Wood noted that firms in regulated industries are moving faster on generative AI adoption due to having compliance measures already in place.
AWS touts AI leadership and customization options: AWS highlighted its AI offerings and the ability to tailor models to specific needs:
- AWS has introduced 326 generative AI features since 2023, which Wood claimed is twice that of other major cloud vendors combined, though competitors often bundle features into larger services.
- AWS offers a wide variety of hardware including Nvidia GPUs and Amazon’s own Graviton, Inferentia, and Trainium chips to support diverse AI workloads.
- Methods like fine-tuning, retrieval-augmented generation (RAG), and guardrails allow customers to align foundation models more closely to their specific requirements.
New AI development tools and capabilities unveiled: Several AI tools saw improvements and new features:
- Models from Anthropic will be available for fine-tuning on AWS, starting with the efficient Claude 3 Haiku model.
- Knowledge Bases for Amazon Bedrock gained connectors for popular enterprise applications like Salesforce and SharePoint.
- Improved Guardrails were announced for Bedrock and SageMaker to help keep AI applications secure and compliant.
AWS App Studio simplifies app development: The new AWS App Studio, currently in preview, uses prompts to generate applications which can then be visually edited and connected to other services:
- Users begin by entering a prompt describing the desired application, such as “build an expense account approval application”.
- The generated app can be modified using a drag-and-drop visual builder with connectors to various applications for added functionality.
- The service is free to use during the preview, with the resulting applications running in AWS and incurring the usual fees.
Analyzing Deeper: While AWS’s announcements align with industrywide trends in AI development and security, the company is positioning itself as a leader in terms of the breadth of its offerings and its focus on giving customers granular control over their AI deployments. The introduction of App Studio could significantly lower barriers to entry for businesses looking to rapidly develop AI-powered applications, though it remains to be seen how it compares to rival offerings in terms of capabilities and ease of use. As generative AI continues its rapid advancement, events like the AWS Summit provide a window into how major tech players are jockeying for advantage in this fast-moving space.
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