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Business analysts often wait days for dashboard modifications when responding to changing business requirements. Traditional processes involve submitting modification requests to IT teams, who interpret requirements, navigate API documentation, understand table schemas, and deploy changes. While this approach maintains proper oversight and quality control, it can result in multi-day turnaround times when rapid dashboard updates …

Build AI-powered dashboard automation agents with NLP on Amazon Bedrock AgentCore Read More »

Today, Amazon SageMaker AI introduces OpenAI-compatible API support for real-time inference endpoints. If you use the OpenAI SDK, LangChain, or Strands Agents, you can now invoke models on SageMaker AI by changing only your endpoint URL. You don’t need a custom client, a SigV4 wrapper, or code rewrites. Overview With this launch, SageMaker AI endpoints …

Announcing OpenAI-compatible API support for Amazon SageMaker AI endpoints Read More »

We’re helping build the state’s next-generation workforce and investing in energy programs. ​ 

This year at Google I/O 2026, we announced Gemini Omni, Google Antigravity, Universal Cart and so much more. Here are the highlights. ​ 

If you’re building visual shopping, image or document understanding, or chart analysis, you need a way to verify whether your model’s response is actually grounded in the source image. A text-only evaluator cannot tell you whether a caption faithfully describes an image, whether an extracted invoice total matches the document, or whether a screen summary …

Multimodal evaluators: MLLM-as-a-judge for image-to-text tasks in Strands Evals Read More »

Voice agents, live captioning, contact center analytics, and accessibility tools all depend on real-time speech-to-text, where your application streams audio in and receives transcription back simultaneously over a single persistent connection. Traditional request-response inference falls short here because transcription cannot begin until the entire audio recording has been received, adding latency that breaks the real-time …

Build real-time voice applications with Amazon SageMaker AI and vLLM Read More »

See and hear your colleagues in true-to-life size and sound, making hybrid meetings feel more inclusive and connected. ​ 

One year after launch, see how AI Mode’s users are shifting from keywords to natural language queries. ​ 

At Google I/O we released Gemini 3.5, our latest series of models combining frontier intelligence with action. ​ 

The latest from Google I/O: See how we’re helping you get more done with Gemini. ​