AWS re:Invent 2025: Breaking news from Amazon's annual conference in Las Vegas

Last updated: December 1, 2025

AWS re:Invent 2025 is underway in Las Vegas. Follow along as AWS unveils product news and announcements on agentic AI, cloud infrastructure, and foundation models.

TwelveLabs launches world's most powerful video understanding model on Amazon Bedrock

TwelveLabs has launched Marengo 3.0, a breakthrough video foundation model now available through Amazon Bedrock. Unlike traditional models that analyze video frame-by-frame, Marengo 3.0 understands video as a complete, dynamic system—connecting dialogue, gestures, movement, and emotion across time to deliver truly human-like comprehension at AI scale.

Marengo 3.0 addresses a critical business challenge: 90% of digitized data is video, but most of it remains unusable because it's too time-consuming for humans to analyze and previous AI models couldn't grasp everything happening on screen. Marengo 3.0 changes that by compressing audio, text, movement, visuals, and context into something that can be searched, navigated, and understood at enterprise scale.

The model delivers immediate business value with a 50% reduction in storage costs and 2x faster indexing performance. It offers industry-first capabilities including team and player tracking for sports, composed multimodal queries that combine image and text, and support for four-hour videos across 36 languages.

"Video represents 90% of digitized data, but that data has been largely unusable," said Jae Lee, CEO of TwelveLabs. "Marengo 3.0 shatters the limits of what is possible."

AWS is the first cloud provider to offer Marengo 3.0, making it easy for enterprises to deploy the model securely within their existing AWS environment through Amazon Bedrock's fully managed service. Learn more about Marengo 3.0, on TwelveLabs Amazon Bedrock.

Trane Technologies and AWS accelerate building decarbonization for Amazon Grocery

Trane Technologies and AWS are using advanced AI to dramatically improve energy efficiency across three pilot Amazon Grocery fulfillment sites in North America, achieving energy reductions of nearly 15%—more than double initial targets.

Through BrainBox AI, a Trane Technologies company, the partnership is transforming how Amazon Grocery’s fulfillment facilities consume energy. The AI-powered technology autonomously optimizes heating, ventilation, and air conditioning systems, helping Amazon advance its commitment to reach net-zero carbon by 2040 under The Climate Pledge.

"At Trane Technologies, sustainability is at the core of everything we do. This strategic collaboration demonstrates how sustainable solutions can drive strong returns while benefiting the planet," said Riaz Raihan, SVP and chief digital officer of Trane Technologies. "Together, we’re not only transforming these fulfillment centers but also driving meaningful progress towards Amazon’s business objectives and bold sustainability goals.”

The results have exceeded expectations, with pilot sites achieving energy-use reductions of nearly 15%. Following the success of these initiatives, deployment is planned for the remaining Amazon Grocery fulfillment and distribution centers across more than 30 sites in the U.S. Furthermore, plans to pilot in grocery stores will begin in 2026.

“At Amazon, we’re continually looking for data-driven, scalable solutions to reduce our carbon footprint while maintaining operational excellence,” said Christina Minardi, vice president of Worldwide Grocery Stores Real Estate and Store Development at Amazon. “By working with Trane Technologies and the BrainBox AI team, we’re turning our buildings into intelligent systems that learn and adapt, helping us meet both our sustainability and performance goals in real time.”

Lyft brings agentic AI to drivers

Lyft is partnering with AWS to reimagine rideshare through customer-first AI. Working with the AWS Generative AI Innovation Center and Anthropic, the company built an “intent agent” to support its more than 1 million drivers.

The agent, powered by Anthropic’s Claude and Amazon Bedrock, speaks in Spanish or English and uses contextual, backend data to take meaningful action for drivers. For example, if a driver messages, “My earnings aren't showing up," the agent already knows they just completed three rides, sees their payment history, and works to resolve the issue. Lyft has seen an 87% reduction in average resolution time for customer and driver support requests, with more than half resolved in less than three minutes.

"The future of customer service has fundamentally shifted through AI," said Ameena Gill, vice president of Safety and Customer Care at Lyft.

Nissan accelerates software-defined vehicle innovation with AWS

What happens when a global automotive giant teams up with the world's most widely deployed and comprehensive cloud? Innovation accelerates. That's exactly what Nissan Motor Co. is seeing as it rolls out its new Nissan Scalable Open Software Platform, powered by AWS. This cloud-based foundation is completely transforming how Nissan develops its software-defined vehicles (SDVs). The platform brings together software creation, data management, and vehicle operations in one seamless system—running on AWS technology.

The results speak for themselves: testing that's 75% faster than before and a unified environment where more than 5,000 developers across the globe can collaborate effortlessly. Teams can now update vehicle features more quickly and work together across international boundaries like never before.

"Software development for SDVs is an extremely important strategy for Nissan," said Kazuma Sugimoto, general manager at Nissan. "The Nissan Scalable Open Software Platform is key technology that enables us to rapidly deliver innovative value to customers."

Looking ahead, Nissan isn't slowing down. The company is planning to integrate more AI capabilities, including an advanced version of their ProPILOT system for complex driving environments by 2027.

Visa collaborates with AWS to deliver secure agentic payments

Visa and AWS have teamed up to enable AI agents to transact securely and autonomously on behalf of users. By combining Visa's global payment infrastructure with AWS's AI and cloud capabilities, the companies aim to simplify commerce and unlock faster innovation for developers while delivering seamless experiences for consumers and businesses worldwide.

The companies will also publish open blueprints on the Amazon Bedrock AgentCore public repository to help developers create intelligent agentic workflows for retail shopping, travel booking, and payment reconciliation. These blueprints will enable AI agents to handle complex, multi-step transactions—from product discovery and price comparison to secure checkout and order tracking.

"Visa Intelligent Commerce is designed to be the trust layer for the agent economy," said Rubail Birwadker, SVP and global head of Growth at Visa. "With AWS's scalable cloud capabilities and Visa's global payment network, Visa Intelligent Commerce enables AI agents to transact securely and contextually at scale."

The collaboration brings together industry partners including Expedia Group, Intuit, lastminute.com, Eurostars Hotel Company, and others to review blueprint designs spanning travel, retail, and B2B payments. For example, users could instruct an AI agent to "Buy me basketball game tickets if the price drops below $150," and the agent would execute those tasks on behalf of the user.

BlackRock teams with AWS to deliver Aladdin on secure, scalable, performant cloud infrastructure

BlackRock is offering Aladdin—BlackRock's industry-recognized investment management technology platform—on AWS.

Aladdin on AWS enables clients to leverage advanced risk modeling, enterprise-grade analytics, and smart investment decision-making capabilities while benefiting from AWS's proven track record running mission-critical financial services workloads for over 20 years.

"By expanding Aladdin to AWS, we are giving clients more choice in where and how they deploy their technology ecosystem," said Sudhir Nair, senior managing director and global head of Aladdin at BlackRock.

"With Aladdin running on AWS, clients gain access to secure, scalable, and resilient infrastructure for advanced risk modeling, enterprise-grade analytics, and smart investment decision-making while maintaining the highest security and resiliency standards," said Scott Mullins, managing director of Worldwide Financial Services at AWS.

General availability for Aladdin Enterprise clients hosted in the United States is expected in the second half of 2026.

Amazon Connect launches agentic AI capabilities for seamless customer experiences

Amazon Connect delivers natural voice interactions with advanced speech models

Amazon Connect has helped businesses deliver automated voice experiences using neural text-to-speech in more than 30 languages and automated speech recognition in more than 25 languages. Today, Amazon Connect is introducing agentic self-service capabilities that enable AI agents to understand, reason, and act across voice and messaging channels—automating routine and complex tasks through a blend of deterministic and agentic experiences that companies can deploy reliably and safely at scale. With advanced speech models from Nova Sonic, these agents deliver natural, human-like conversations, responding with the right pace, tone, and understanding across multiple languages and accents. For customers who already use third-party automated speech recognition (ASR) and text-to-speech (TTS) solutions, Connect now supports Deepgram and ElevenLabs. Customers can now resolve complex issues through intuitive self-service, reducing wait times while enjoying natural, conversational experiences.

Agentic assistance creates true collaboration between humans and AI

For years, Amazon Connect has provided AI-powered assistance that analyzes customer interactions to proactively deliver customer service representatives the information and the tools they need in real-time. Today, Amazon Connect is taking this further with agentic assistance that creates true collaboration between humans and AI. While customer service representatives talk with customers, Amazon Connect analyzes conversation context and customer sentiment—not only suggesting next steps, but also actively completing tasks such as preparing documentation and handling routine processes. Customer service representatives can now focus on building relationships and handling complex situations while AI manages the background complexity, enabling them to serve more customers effectively.

AI-powered recommendations create deeper customer engagement

Amazon Connect has helped businesses personalize customer interactions through unified customer profiles that sync data from disparate applications. Now, Amazon Connect is introducing AI-powered product recommendations that turn customer conversations into opportunities for deeper engagement. By combining real-time clickstream data with rich customer history, AI agents and customer service representatives can deliver interactions with highly personalized product suggestions at exactly the right moment. Instead of waiting for customers to ask, businesses can also anticipate needs based on real-time behavior, increasing satisfaction while creating new revenue opportunities.

AI agent observability, testing, and performance evaluations

As businesses deploy more AI agents, understanding how they make decisions has become critical for maintaining quality and compliance. Amazon Connect is introducing AI agent observability that provides complete transparency—showing you what the AI understood, which tools it used, and how it reached its decisions. This visibility helps you optimize performance, ensure compliance, and build confidence in your AI-powered experiences. Amazon Connect enables businesses to test workflows before going live and evaluate both AI and customer service representative performance with automated assessment, custom criteria, and aggregated insights. Businesses can now confidently deploy AI agents at scale, knowing they have full visibility and control over every customer interaction.

Learn more about Amazon Connect and the new capabilities. Understand how customers are benefitting from Amazon Connect today.

AWS Interconnect - multicloud preview begins with Google

AWS Interconnect - multicloud is designed to remove the complexity of traditional multicloud networking by enabling customers to quickly configure connections with dedicated bandwidth between AWS and other service providers, beginning with Google Cloud.

Together, AWS and Google Cloud are introducing a new open specification for network interoperability. This jointly engineered multicloud networking solution uses both AWS Interconnect - multicloud and Google Cloud’s Cross-Cloud Interconnect, enabling customers to establish private, high-bandwidth connectivity between the two providers with increased speed and simplicity.

Previously, customers connecting different cloud workloads faced a choice: use public connectivity with no bandwidth guarantees or build complex private connectivity.

AWS Interconnect - multicloud simplifies connectivity by providing a fully managed, cloud-to-cloud experience that is provisioned quickly through the AWS Management Console or API. To further accelerate adoption, an open API package has been published on GitHub, making it easy for other service providers to adopt this new open specification for connecting private networks.

By using pre-built capacity pools, organizations can create connections and adjust their bandwidth as needed. Built-in resiliency, streamlined support, and infrastructure that is fully managed by the service providers enable customers to remove the overhead of managing physical devices or virtual routing objects from their multicloud networks. Learn more about what is available today.

Deepgram brings advanced speech AI capabilities to AWS

Deepgram is delivering streaming speech-to-text, text-to-speech, and voice agent capabilities to Amazon SageMaker AI and integrating its enterprise-grade speech technology with Amazon Connect and Amazon Lex. Together, these integrations enable customers to build and deploy voice-powered applications with sub-second latency while maintaining the security and compliance benefits of their AWS environment.

Deepgram clients now have the option to deploy real-time speech capabilities across AWS services—from contact centers to custom voice applications—providing choice in their technology environment without compromising the performance and reliability that make Deepgram a trusted solution for enterprise voice AI.

"By bringing our streaming speech models directly into SageMaker, enterprises can deploy speech-to-text, text-to-speech, and voice agent capabilities with sub-second latency, all within their AWS environment," said Scott Stephenson, CEO at Deepgram.

"Integrating Deepgram's advanced speech technology with Amazon Connect enables organizations to build voice interactions that understand context and respond with appropriate pace and tone, transforming automated interactions into opportunities for deeper customer relationships," said Pasquale DeMaio, VP of Amazon Connect at AWS.

Deepgram is an AWS Generative AI Competency Partner with a multi-year Strategic Collaboration Agreement. Early adopters are already leveraging these integrations to power real-time speech processing for enterprise platforms. Learn more about Deepgram as an AWS Partner.

Discover more news from AWS re:Invent, including all things agentic and generative AI, product and service announcements, and more.