Amazon Connect now provides agents with generative AI-powered email conversation overviews, suggested actions, and responses. This enables agents to handle emails more efficiently, and customers to receive faster, more consistent support. For example, when a customer emails about a refund request, Amazon Connect automatically provides key details about the customer’s purchase history, recommends a refund resolution step-by-step guide, and generates an email response to help resolve the contact quickly.
To enable this feature, add the Amazon Q in Connect block to your flows before an email contact is assigned to your agent. You can customize the outputs of your email generative AI-powered assistant by adding knowledge bases and defining your prompts to guide the AI agent with generating responses that match your company’s language, tone, and policies for consistent customer service.
This new feature is available in all AWS regions where Amazon Q in Connect is available. To learn more and get started, refer to the help documentation, pricing page, or visit the Amazon Connect website.
Today, AWS Clean Rooms announces support for cross-region data collaboration. This launch enables companies and their partners to easily collaborate with data sources stored in different regions, without having to move, copy, or share their underlying data.
With AWS Clean Rooms support for cross-region data collaboration, organizations can collaborate with their partners by leveraging datasets stored in regions outside of their own. Companies can collaborate with data sources stored in different AWS and Snowflake Regions from where their collaboration is hosted, eliminating the need to move or replicate data across regions to collaborate with their partners. Collaboration creators can control where their analysis results are delivered by configuring a set of allowed regions, helping each collaborator comply with applicable data residency requirements and sovereignty laws. For example, a media publisher with data stored in US East (N. Virginia) can collaborate with an advertising partner whose data resides in EU Central (Frankfurt) without building additional data pipelines or sharing underlying data with one another.
With AWS Clean Rooms, customers can create a secure data clean room in minutes and collaborate with any company on AWS or Snowflake to generate unique insights about advertising campaigns, investment decisions, and research and development. For more information about the AWS Regions where AWS Clean Rooms is available, see the AWS Regions table. To learn more about collaborating with AWS Clean Rooms, visit AWS Clean Rooms.
Starting today, AWS End User Messaging customers can be notified of updates to their SMS onboarding progress in Slack, Email, or any other Amazon EventBridge destination. Before this launch, tracking the status of your onboarding progress was difficult. Customers had to periodically check the status of a phone number registration in the console. Now with this launch, you can be immediately notified when phone number or sender ID registrations in your AWS account are created, submitted, denied or requires an update.
AWS End User Messaging provides developers with a scalable and cost-effective messaging infrastructure without compromising the safety, security, or results of their communications. Developers can integrate messaging to support uses cases such as one-time passcodes (OTP) at sign-ups, account updates, appointment reminders, delivery notifications, promotions and more.
Support for EventBridge for SMS is available in all AWS Regions where End User Messaging is available, see the AWS Region table.
AWS Directory Service now supports IPv6 connectivity for Managed Microsoft AD and AD Connector. The IPv6 capabilities allow customers to deploy directories with IPv4-only, IPv6-only, or dual-stack configurations, helping organizations meet government mandates and standardize on next-generation Internet protocol.
The IPv6 support helps organizations meet regulatory requirements, including U.S. federal agencies’ mandate to transition to IPv6 by 2025, while eliminating dual-protocol network complexity. This enables organizations to modernize their network infrastructure and comply with evolving security standards without maintaining separate IPv4 and IPv6 network stacks.
Customers can upgrade existing IPv4-only directories to dual-stack by enabling IPv6 in VPC subnets, then adding IPv6 support through the Directory Service Management Console. IPv6 capabilities are available in all AWS Directory Service regions, with IPv6 accessible through Console, CLI, and API.
EC2 Image Builder now automatically disables pipelines after consecutive failures and allows customers to configure custom log groups for image pipelines. These capabilities address common operational needs including improved control over pipeline execution, enhanced customization options for logging requirements, and better visibility.
Image Builder pipelines are used to automate the creation, testing, and distribution of custom images across your AWS infrastructure. With the new automatic disablement feature, you can configure pipelines to stop execution after a specified number of consecutive failures, preventing creation of unnecessary resources and reducing costs from repeatedly failed builds. Additionally, you can also configure custom log groups for pipelines with specific log retention periods and encryption settings that align with your organizational policies, providing you enhanced customization options for logging and better visibility. These enhancements collectively provide greater control and efficiency in managing your image building processes.
These capabilities are available to all customers at no additional costs, in all AWS commercial regions including AWS China (Beijing) Region, operated by Sinnet, AWS China (Ningxia) Region, operated by NWCD, and AWS GovCloud (US) Regions.
You can get started from the EC2 Image Builder Console, CLI, API, CloudFormation, or CDK, and learn more in the EC2 Image Builder documentation.
Today, AWS announces the general availability of a self-service Invoice correction feature to update AWS invoices. This launch enables all AWS customers to correct key invoice attributes—including purchase order numbers, business legal name, and addresses — on their AWS invoices and get corrected invoices instantaneously.
AWS customers can now access the new self-service Invoice correction feature directly from the AWS Billing and Cost Management console. This feature offers AWS customers a guided self-service workflow to update invoice attributes in their account settings and on select invoices. This feature gives AWS customers direct control over invoice corrections while reducing wait times and improving efficiency in managing their AWS accounts.
AWS self-service Invoice Correction feature is generally available in all AWS Regions, excluding GovCloud (US) Regions and China (Beijing) and China (Ningxia) Regions.
To get started with AWS self-service invoice correction feature, please visit the product details page.
AWS Directory Service now enables customers to upgrade Managed Microsoft AD from Standard to Enterprise Edition programmatically through the UpdateDirectorySetup API. The self-service edition upgrade eliminates the need for support tickets when scaling Managed Microsoft AD directories.
The API-driven Standard to Enterprise Edition upgrade removes operational barriers that previously required coordinating maintenance windows with AWS support, enabling on-demand directory scaling with automated pre-upgrade snapshots and sequential domain controller upgrades. This streamlined process ensures data protection through automatic backup creation before upgrades begin, while the sequential upgrade approach maintains directory availability throughout the process.
Organizations can now scale their directory infrastructure in response to growing user bases or expanding application requirements without the delays associated with traditional support-driven upgrade processes. The programmatic approach enables integration with existing automation frameworks and infrastructure-as-code deployments. Directory size upgrades are available in all AWS Directory Service regions through the AWS SDK, providing consistent upgrade capabilities across global deployments.
Amazon Connect now provides screen recording for agents using ChromeOS devices making it easier for you to help improve their performance. With screen recording, you can identify areas for agent coaching (e.g., long contact handle duration or non-compliance with business processes) by not only listening to customer calls or reviewing chat transcripts, but also watching agents’ actions while handling a contact (i.e., a voice call, chat, or task).
Screen recording on ChromeOS is available in all the AWS Regions where Amazon Connect is already available. To learn more about screen recording, please visit the documentation and webpage. For information about screen recording pricing, visit the Amazon Connect pricing page.
Today, AWS announced the expansion of 10 Gbps and 100 Gbps dedicated connections with MACsec encryption capabilities at the existing AWS Direct Connect location in the ePLDT data center near Makati City, Philippines. You can now establish private, direct network access to all public AWS Regions (except those in China), AWS GovCloud Regions, and AWS Local Zones from this location.
The Direct Connect service enables you to establish a private, physical network connection between AWS and your data center, office, or colocation environment. These private connections can provide a more consistent network experience than those made over the public internet.
For more information on the over 146 Direct Connect locations worldwide, visit the locations section of the Direct Connect product detail pages. Or, visit our getting started page to learn more about how to purchase and deploy Direct Connect.
Amazon Connect, the cloud-based contact center service from AWS, now supports Get Customer Input and Store Customer Input flow blocks for outbound voice whisper flows. The Get Customer Input flow block allows a prompt to be played to a customer on an outbound call after they answer the call but before they are connected with an agent, and the customer’s response can be collected through either DTMF input or via an Amazon Lex Bot.
This capability will allow you to capture interactive and dynamic customer input on outbound calls before these are connected to an agent. For example, you can use the Get Customer Input flow block to obtain customer consent for call recording as part of outbound calls placed by agents, and use it to trigger Amazon Connect Contact Lens recording and analytics.
The capability is available in all AWS commercial and AWS GovCloud (US-West) regions where Amazon Connect is offered.
Today, we’re announcing the integration of Amazon Neptune Database with GraphStorm, a scalable, open-source graph machine learning (ML) library built for enterprise-scale applications. This brings together Neptune’s OLTP (Online transaction processing) graph capabilities with GraphStorm’s scalable inference engine, making it easier for customers to deploy graph ML in latency-sensitive, transactional environments.
With this integration, developers can train GNN models using GraphStorm and deploy them as real-time inference endpoints that directly query Neptune for subgraph neighborhoods on demand. Predictions—such as node classifications or link predictions—can then be returned in sub-second timeframes, closing the loop between transactional graph updates and ML-driven decisions. This integration unlocks use cases such as fraud detection and prevention, where organizations can make real-time decisions based on complex relationships among accounts, devices, and transactions; dynamic recommendations, where systems can instantly adapt to user behavior using live graph context; and graph-based risk scoring, where risk assessments are continuously updated as the graph evolves. Customers can also combine real-time inference results with graph analytics queries for deeper operational insights, enabling ML feedback loops directly within graph applications.
AWS Secrets Manager now supports AWS PrivateLink with all Secrets Manager Federal Information Processing Standard (FIPS) endpoints that are available in commercial AWS Regions and the AWS GovCloud (US) Regions.
With this launch, you can establish a private connection between your virtual private cloud (VPC) and Secrets Manager FIPS endpoints instead of connecting over the public internet, helping you meet your organization’s business, compliance, and regulatory requirements to limit public internet connectivity.
AWS Config advanced queries and aggregators are now available in Asia Pacific (New Zealand) region. You can use advanced queries to query the current configuration and compliance state of your AWS resources. Aggregators enable centralized visibility and analysis by aggregating configuration and compliance data from multiple accounts and regions, or across an AWS Organization.
Advanced queries provide a single query endpoint and a query language to get current resource configuration and compliance state without performing service-specific describe API calls. You can use configuration aggregators to run the same queries from a central account across multiple accounts and AWS Regions.
Advanced queries can be used from AWS console and AWS CLI. To learn more about aggregators, please refer to our documentation. With this expansion, AWS Config advanced queries and aggregators are now available in all supported regions.
You can now create an AWS Builder ID using sign in with Google. AWS Builder ID is a personal profile that provides access to AWS applications including Kiro, AWS Builder Center, AWS Training and Certification, AWS re:Post and AWS Startups.
AWS Builder ID represents you as an individual and is independent from any credentials and data you may have in existing AWS accounts. Like other personal profiles, AWS Builder ID remains with you as you progress through your personal, educational, and career goals. Sign in with Google offers a convenient way for you to access AWS applications and websites with a single click using your Google account. This eliminates the need for separate credentials, further simplifies the registration process, and reduces the likelihood of forgotten passwords. Returning users will benefit from a frictionless sign-in experience to their AWS applications.
Today, Amazon GameLift Servers launched new console capabilities that let you view and connect to individual fleet instances. The EC2 and Container Fleet Detail pages have a new Instances tab to see a list of instances associated with a fleet. For each instance, there is an instance details page that displays metadata in a human-readable format (data also available via Amazon GameLift Server APIs). From the list and detail views, you can invoke the connect button, open a modal, and launch AWS CloudShell to start an SSM session directly into that instance.
These console improvements give hands-on tools to debug, inspect, and resolve issues faster. Instead of relying on external tooling or guesswork, directly investigate host performance, pull recent game server logs, or diagnose issues such as network configuration and instance health – all from within the Amazon GameLift Servers Console. This reduces turnaround time when troubleshooting and enhances visibility into what’s happening “under the hood” of a game server fleet.
SSM in Console is available in Amazon GameLift Servers supported regions, except AWS China. For more information, visit the Amazon GameLift Servers documentation.
This new standardized interface allows developers to analyze, transform, and deploy production-ready AI agents directly in their preferred development environment.
Get started with AgentCore faster and more easily with one-click installation that integrates Agentic IDEs like Kiro and AI coding assistants (Claude Code, Cursor, and Amazon Q Developer CLI). Use natural language to iteratively develop your agent, including transforming agent logic to work with the AgentCore SDK and deploying your agent into development accounts.
The open-source MCP server is available globally via GitHub.
In today’s complex and ever-evolving threat landscape, federal agencies require secure, reliable, and innovative solutions to fulfill their critical missions. Google Pixel phones have been added to the Department of Defense Information Network (DoDIN)Approved Products List (APL) – a significant milestone that underscores our commitment to providing federal agencies with secure, cutting-edge technology. Combined with Google’s comprehensive cloud ecosystem, federal agencies are further empowered to enhance security, enable better communication, improve efficiencies, and streamline operations. Achieving placement on the (DoDIN) Approved Products List (APL) establishes a crucial foundation of trust and enables government agencies to confidently procure Google Pixel phones, knowing they adhere to the highest security standards required.
The Pixel advantage
Google Pixel phones are built on a foundation of mission-ready resilience and intelligent security that is seamlessly integrated into the Google ecosystem. Pixel 9 phones are the highest rated for security features1 empowering government employees to securely connect and collaborate from virtually anywhere—even the most remote environments. Leveraging 5G’s mobile cellular technology—which provides high speeds, low latency, and increased mobility—equips military operations with new capabilities that are essential for reliable high-priority communication.
To see these capabilities in action, consider how one federal agency is modernizing its global operations.
A federal agency procuring energy resources for the military sought to improve fuel inspection and auditing capabilities across their 500+ global sites. Current processes are manual and data is physically archived, leading to issues like data fidelity and real-time access problems. They will be using Google products, including Pixel phones for on-site data capture and secure transmission, to digitize and standardize data collection that will then feed into a centralized system to predict compliance and environmental issues.
Building the future of the Public Sector
To support the critical work of federal agencies, Google Cloud offers a comprehensive technology ecosystem with integrated AI, analytics, and robust security. By combining Pixel phones and Google Cloud services, agencies gain a complete, unified tech stack for secure connectivity and collaboration, enabling them to fully leverage Google’s innovative technologies.
The power of combining secure, on-device data capture with cloud-based AI is also transforming how essential public services are delivered. For example, Google Public Sector in partnership with MTA, piloted TrackInspect, an AI-powered system that uses Pixel smartphones to detect potential subway track defects. By analyzing real-time sensor data, the system identified 92% of defect locations found by human inspectors, enabling proactive maintenance and reducing service disruptions. This innovative approach combines cloud technology, AI, and generative AI to improve track safety and efficiency. The pilot program demonstrates how technology can enhance infrastructure maintenance, resulting in smoother and more reliable service for millions of daily riders.
Discover how Google Public Sector can help empower your agency
Attaining DoDIN APL certification is just one example of why Pixel’s seamless Google Cloud integration and robust security features make it a strong choice for public sector applications. Check out our Google Pixel Public Sector 1-pager for more insight into how Pixel DoDIN APL certified phones can help your agency streamline communications, enhance field productivity, and improve collaboration. With built-in security, on-device AI, and secure remote management features, Pixel phones are designed to meet strict government security requirements. Explore Pixel phones firsthand and register for the Google Public Sector Summit on October 29th in Washington D.C. to learn more.
Footnote:
Based on a third-party global research firm report. Evaluation considered features that may not be available in all countries. See goo.gle/mobilesecurity for more information.
It’s been exciting to see the capabilities of Nano Banana, our latest image editing model available in Gemini 2.5 Flash Image, go viral. And with transformative workflows like these, it is easy to see why:
genmedia bundle carousel 1
Iterative refinement with Gemini 2.5 Flash Image
genmedia bundle carousel 2
Context aware conversational editing with Gemini 2.5 Flash Image
genmedia bundle carousel 3
Geospatial reasoning and understanding with Gemini 2.5 Flash Image
The incredible response makes it clear: enterprises now have the ability to quickly create and refine high-quality media across more formats and channels than ever before, without compromising on appeal, consistency, or security.
That’s why we’re thrilled to announce major updates across our suite of generative media models—including Gemini 2.5 Flash Image (now GA!), Veo, Imagen, and Gemini 2.5 Text-To-Speech — on Vertex AI. These updates help you create faster, with more control, and across all the formats that matter most: sight, sound, and motion. Let’s take a look.
Gemini 2.5 Flash Image is Generally Available (GA) on Vertex AI
We are excited to announce the General Availability of Gemini 2.5 Flash Image. Our state-of-the-art image generation and editing model is now production ready and backed by Google Cloud’s enterprise-grade infrastructure and security. In addition, the model now creates images across multiple aspect ratios and supports batch processing.
We’re already seeing incredible adoption of Gemini 2.5 Flash Image. Here’s an example of how companies are putting the pushing the creative boundaries of Gemini 2.5 Flash Image:
“Gemini 2.5 Flash Image and such high-quality AI tools mean, quite literally, nothing is off limits anymore. As a result, our team has never been more creative. We’re collaborating on ideas, able to visualize them faster and launch campaigns in days, instead of weeks. Our core mission is always to give creators and businesses the most advanced AI tools, and putting Gemini 2.5 Flash Image in their hands fulfills that promise. This is, without a doubt, the most exciting time to be a creator.” –Shahar Aizenberg, CMO, Artlist.io
“Gemini 2.5 Flash Image has redefined what’s possible for Mercado Libre’s Photo Studio. The model’s creativity, aesthetic quality, and precise instruction following have elevated our product listings and unlocked new possibilities. Today, our only limit is imagination.” – Franco Seia, Software Development Manager, Mercado Libre
Veo: Dream up creations in new formats with greater control
Veo 3, our latest video generation model with native audio and dialogue, has been rapidly adopted by creators looking to bring their stories to life with unprecedented control. We’ve been listening to your feedback, and we’re excited to announce new features that make Veo 3 even more powerful on Vertex AI:
Output vertical formats for social media: You told us you wanted to create vertical videos, and we listened! Veo 3 and Veo 3 Fast now support a 9:16 aspect ratio. Creators can produce larger, more immersive visuals that are optimized for the vertical orientation of social media platforms. Say goodbye to awkward cropping!
Control the flow and timing of your story: With the 4, 6, or 8 second duration options, you can seamlessly tune your video content for transitions and intercut scenes, allowing you to craft more flexible narratives for your needs.
Our customers are already leveraging Veo to transform their creative workflows and connect with their audiences in powerful new ways.
“For Palo Alto Networks “Be a Genius. Deploy Bravely” campaign, we proved you no longer have to choose between speed, creativity, and cost. With Gemini and Veo 3, you get all three. Like our customers, we are navigating the incredible promise of the AI revolution. The smartest move in this new era isn’t just to adopt AI, but to do it securely.” –Kelly Waldher, CMO, Palo Alto Networks
“We’ve always believed that the future of creativity is a dynamic partnership between creatives and technology. That’s why we’re bringing together the best-in-class AI models across video, images and audio directly into our unlimited Envato subscription. Early signals indicate strong usage of models like Veo 3, accelerating our community’s creativity and empowering them to thrive in the process.” –Hichame Assi, CEO, Envato
Imagen 4 is Generally Available (GA) on Vertex AI
Our leading text-to-image model, Imagen 4, is engineered for creativity and speed. It delivers photorealistic images, sharp clarity, and text rendering and typography, bringing your imagination to life faster than ever before. It is Generally Available and production ready on Vertex AI.
Shutterstock, a family of brands delivering scalable creative and GenAI solutions, is using Google’s Imagen 4 models to power high-quality, commercially ready AI images.
“At Shutterstock, our mission is to empower businesses with the essential, universal ingredients to make their work more effective. By bringing Google’s Imagen 4 models into our AI Image Generator, we’re making it easier than ever for teams to go from an idea to impact with market-ready visuals in seconds. Imagen 4 allows us to deliver high-quality, commercially ready outputs that meet the standards our customers expect. This integration ensures Shutterstock customers are always equipped with the most advanced, future-ready tools in creative AI.” – Keenan Kadam, Senior Product Manager, Shutterstock
Gemini 2.5 TTS (Text to Speech) is Generally Available (GA) on Vertex AI
Our powerful generative media capabilities also include audio. Leverage Gemini 2.5 Text-to-Speech for the creation of high-fidelity voice applications, all with the security and scale of Vertex AI.
We are thrilled to announce that Gemini 2.5 Text-to-Speech (TTS) is now Generally Available across both Pro and Flash models. This model prioritizes human-like expression and control, transforming how you build voice applications:
Studio-Quality Dialogue, Now GA: Stop relying on choppy, single-speaker systems. Gemini 2.5 Flash and Gemini 2.5 Pro TTS are now ready for production, enabling you to generate dynamic, multi-speaker dialogue in a single API call for podcasts, audiobooks, and rich conversational customer service.
Advanced Style and Tone Control: Leverage natural language prompts to dictate the performance, not just the text. You can now control the voice’s tone, emotional expression, and accent, ensuring your brand’s voice is delivered with perfect fidelity.
Global Reach, Perfect Delivery: Gemini 2.5 Flash and Gemini 2.5 Pro TTS are now available across more than 70 languages, guaranteeing your global audience receives the same high-quality, expressive voice experience, regardless of region.
Which gen media model to use, and when
We have a suite of options for enterprise-grade work because we know choice is important when it comes to the right model for your project. If you’re not sure where to start, here’s a quick cheat sheet:
Choose Veo 3 if your workflow demands dynamic, high-quality video creation with granular control over scenes, characters, and narrative flow. It’s perfect for social media content, marketing campaigns, and any project where bringing stories to life through motion is key. Your input can be text, images, or a combination. For the latest Veo 3 pricing go here.
Choose Gemini 2.5 Flash Image as a starting point for image creation or if your workflow is iterative and requires creating or editing an image with strong visual consistency. It’s the right choice for conversational editing, sketch-to-image tasks, style transfers, and adapting existing visuals. Your input is often a combination of images and text prompts.
Choose Imagen 4 if your workflow is focused on generating net-new images from text with speed and higher resolution. It’s built for high-volume text-to-image applications where speed and resolution are your primary concerns.
Choose Gemini 2.5 Flash or Gemini 2.5 Pro TTS (Text-to-Speech) if your workflow is centered on bringing text to life with high-quality, emotionally expressive audio. It’s the right choice for creating lifelike voice agents, professional narration for content like podcasts and e-learning including multi-speaker synthesis, and dynamic character voices for gaming and entertainment. Your input is text.
Get started with enterprise-grade creativity on Vertex AI
Gemini 2.5 Flash Image, Veo 3, Imagen 4, and Gemini 2.5 TTS are available on Vertex AI today.
Dive into the Vertex AI Studio to get started with Gemini 2.5 Flash Image and Gemini 2.5 TTS today. For Veo 3 and Imagen 4, get started at Vertex AI Media Studio.
The future of technology is unfolding across EMEA, and Google Cloud is at the forefront of this transformation. We’re organizing a series of exciting events across the region, offering a unique opportunity for developers and tech enthusiasts to dive deep into the world of artificial intelligence, agents, and cloud computing. Whether you’re looking to use AI to make your applications smarter, get hands-on experience with cutting-edge developer tools, or network with industry experts, there’s an event for you nearby.
The Rise of the AI Agent
A major focus of these events is the “agentic era” of AI, where intelligent agents are set to empower developers and builders to automate tasks and be more efficient with their daily work. This event series is making stops in several EMEA cities, offering immersive experiences with hands-on labs. These events are designed to provide step-by-step guidance for building and scaling AI agents within your organization.
Developers will find plenty of opportunities to get hands-on experience with the latest Google Cloud technologies. The labs are specifically crafted for developers and technical practitioners, offering workshops that delve into cutting-edge technologies from Google and Google Cloud with sessions on Cloud Run, Vertex AI, Gemini, ADK, and much more.
Innovate with us!
This is more than just a series of events; it’s an invitation to be part of a movement that is shaping the future of technology and business. Don’t miss this opportunity to learn from Google, connect with your peers, and get hands-on with the tools that will define the next wave of innovation.
Ready to join the AI revolution? Explore the full list of events and register today to secure your spot. The future is being built now, and you can be a part of it. Visit the official Google Cloud events page to find an event near you and start your journey into the new era of AI and cloud. This is your chance to learn, connect, and innovate with Google Cloud.
AWS Clean Rooms now supports data access budgets for tables associated to a collaboration. This new privacy control allows you to limit the number of times your data can be analyzed when training or running inference on a custom ML model or in a SQL query or Pyspark job. With data access budgets, you can establish per-period budgets that refresh daily, weekly, or monthly, lifetime budgets for overall usage, or both types simultaneously. When you spend a budget, the system prevents additional analyses until the budget refreshes, but you can reset or edit a budget at anytime as your needs change.
AWS Clean Rooms helps companies and their partners easily analyze and collaborate on their collective datasets without revealing or copying one another’s underlying data. For more information about the AWS Regions where AWS Clean Rooms is available, see the AWS Regions table. To learn more about collaborating with AWS Clean Rooms, visit AWS Clean Rooms.
