The Tech Radar - Issue #10 (November 2025)

Learn more about AlphaFold, Google’s AI system that accurately predicts protein structures.

Sundar Pichai sits down with Logan Kilpatrick to discuss Gemini 3 on the Google AI: Release Notes podcast.

Learn more about using Google products like Gemini, Search, Shopping, Pixel and more over the holidays.

Editor’s note : Want to keep up with the latest from Google Cloud? Check back here for a monthly recap of our latest updates, announcements, resources, events, learning opportunities, and more. The fastest way to transform your business is here. This November, we took major jumps in both software and silicon. On the model front, we brought Gemini 3 to builders and businesses, securing a breakthrough 1501 Elo score on the LMArena Leaderboard, and redefining what’s possible with agentic workflows.

Today, we’re excited to announce that Anthropic’s newest model, Claude Opus 4.5 , is generally available on Vertex AI. As Anthropic’s most advanced model to date , it excels in coding, agents, vision, computer use and office tasks — at one-third the cost of its predecessor, Opus 4.1. We remain committed to providing Vertex AI customers with even more model choice, a core tenet of our platform. This new model adds to the latest Claude Sonnet 4.5 and Claude Haiku 4.

The ability to easily access and understand data is essential for modern businesses. The Gemini command line interface (CLI) is an open-source AI agent that provides access to Gemini directly in your terminal, enabling you to interact with Google’s latest AI models directly from the interface you know best. With the release of Looker and Looker Conversational Analytics extensions, available now, you can interact with your Looker data and dashboards from the command line, streamlining your...

Earlier this year we launched Nano Banana (Gemini 2.5 Flash Image). It became the top rated image model in the world, and we were excited to see the overwhelming response from our customers. Nano Banana made it dramatically easier – and more fun – to edit images with natural language and make visuals with consistent characters. Today, we’re announcing Nano Banana Pro (Gemini 3 Pro Image) , our state-of-the art image generation and editing model, available starting today in Vertex AI and Google..

Welcome to the second Cloud CISO Perspectives for November 2025. Today, Phil Venables, Google Cloud’s current strategic security advisor and former CISO, and creator of this newsletter, shares his thoughts on how the role of the CISO is evolving in the AI era, and how organizations should shift their cybersecurity approach from fire stations to flywheels. As with all Cloud CISO Perspectives, the contents of this newsletter are posted to the Google Cloud blog .

At Google Cloud, we take our role in the financial ecosystem in Europe very seriously. We also firmly believe that digital operational resilience is vital to safeguarding and enhancing innovation. Today, we mark a significant milestone in our long-term commitment to the European financial services sector. The European Supervisory Authorities (ESAs) have officially designated Google Cloud EMEA Limited (Google Cloud EMEA), together with its subsidiaries, as a critical Information and...

At Google Cloud, we believe that being at the forefront of driving secure innovation and meeting the evolving needs of customers includes working with partners. The reality is that the security landscape should be interoperable, and your security tools should be able to integrate with each other. Google Unified Security , our AI-powered, converged security solution, has been designed to support greater customer choice.

When a major vulnerability makes headlines, CISOs want to know fast if their organization is impacted and prepared. Getting the correct answer is often a time-consuming and human-intensive process that can take days or weeks, leaving open a dangerous window of unknown exposure. To help close that gap, today we’re introducing the Emerging Threats Center in Google Security Operations.

Editor's note: This blog has been translated into Bengali , Hindi , Marathi , Tamil , and Telugu . India’s developer community, vibrant startup ecosystem, and leading enterprises are embracing AI with incredible speed. To meet this moment for India, we are investing in powerful, locally-available tools in India that can help foster a diverse ecosystem, and ensure our platform delivers the controls you need for compliance and AI sovereignty.

Welcome to the first Cloud CISO Perspectives for November 2025. Today, Sandra Joyce, vice-president, Google Threat Intelligence, updates us on the state of the adversarial misuse of AI. As with all Cloud CISO Perspectives, the contents of this newsletter are posted to the Google Cloud blog . If you’re reading this on the website and you’d like to receive the email version...

Written by: Harsh Parashar, Tierra Duncan, Dan Perez Google Threat Intelligence Group (GTIG) is tracking a long-running and adaptive cyber espionage campaign by APT24, a People's Republic of China (PRC)-nexus threat actor. Spanning three years, APT24 has been deploying BADAUDIO, a highly obfuscated first-stage downloader used to establish persistent access to victim networks.

Written by: Mohamed El-Banna, Daniel Lee, Mike Stokkel, Josh Goddard Overview Last year, Mandiant published a blog post highlighting suspected Iran-nexus espionage activity targeting the aerospace, aviation, and defense industries in the Middle East. In this follow-up post, Mandiant discusses additional tactics, techniques, and procedures (TTPs) observed in incidents Mandiant has responded to.

Written by: Josh Stroschein, Jae Young Kim The prevalence of obfuscation and multi-stage layering in today’s malware often forces analysts into tedious and manual debugging sessions. For instance, the primary challenge of analyzing pervasive commodity stealers like AgentTesla isn’t identifying the malware, but quickly cutting through the obfuscated delivery chain to get to the final payload.

Written by: Stallone D'Souza, Praveeth DSouza, Bill Glynn, Kevin O'Flynn, Yash Gupta Welcome to the Frontline Bulletin Series Straight from Mandiant Threat Defense, the "Frontline Bulletin" series brings you the latest on the threats we are seeing in the wild right now, equipping our community to understand and respond. Introduction Mandiant Threat Defense has uncovered exploitation of an unauthenticated access vulnerability within Gladinet’s Triofox file-sharing and remote access platform.

Executive Summary Based on recent analysis of the broader threat landscape, Google Threat Intelligence Group (GTIG) has identified a shift that occurred within the last year: adversaries are no longer leveraging artificial intelligence (AI) just for productivity gains, they are deploying novel AI-enabled malware in active operations . This marks a new operational phase of AI abuse, involving tools that dynamically alter behavior mid-execution.

Every November, we make it our mission to equip organizations with the knowledge needed to stay ahead of threats we anticipate in the coming year. The Cybersecurity Forecast 2026 report, released today, provides comprehensive insights to help security leaders and teams prepare for those challenges. This report does not contain "crystal ball" predictions. Instead, our forecasts are built on real-world trends and data we are observing right now.

While 90% of IT leaders indicate that the future of their end user computing (EUC) strategy is web-based, those same leaders admit that 50% of the applications their organizations rely on today are still legacy client-based apps. 1 Similarly, IT leaders note that enabling end users to take advantage of AI on the endpoint is their top priority in the next 12 months. Clearly, something needs to bridge the gap between today’s reality and tomorrow’s strategy.

The way we work is rapidly transforming, and AI is quickly becoming a connection point across workflows and tasks both big and small. Whether it’s saving time by converting automated meeting notes into a follow-up email to a client, or getting help with brainstorming your next big campaign idea, Generative AI, driven by models like Gemini, offers seamless, intelligent help for employees.

The Workspace tool that helps you easily create videos is giving more users access to its AI features.

Learn more about how Google Workspace apps now work with Gemini’s Deep Research tool.

Mercado Libre , the e-commerce and fintech pioneer of Latin America, operates at a staggering scale, demanding an infrastructure that's not just resilient and scalable, but also a catalyst for rapid innovation. While our use of Spanner for foundational consistency and scale is known, a deeper dive reveals a sophisticated, multi-layered strategy. Spanner is not just a database here; it's a core engine powering our internal developer platform, diverse data models, advanced analytics loops,...

Engineering teams use Ray to scale AI workloads across a wide range of hardware, including both GPUs and Cloud TPUs. While Ray provides the core scaling capabilities, developers have often managed the unique architectural details of each accelerator. For Cloud TPUs, this included its specific networking model and Single Programming Multiple Data (SPMD) programming style.

Ray is an OSS compute engine that is popular among Google Cloud developers to handle complex distributed AI workloads across CPUs, GPUs, and TPUs. Similarly, platform engineers have long trusted Kubernetes, and specifically Google Kubernetes Engine, for powerful and reliable infrastructure orchestration. Earlier this year, we announced a partnership with Anyscale to bring the best of Ray and Kubernetes together, forming a distributed operating system for the most demanding AI workloads.

Google and the cloud-native community have consistently strengthened Kubernetes to support modern applications. At KubeCon EU 2025 earlier this year, we announced a series of enhancements to Kubernetes to better support AI inference . Today, at KubeCon NA 2025, we’re focused on making Kubernetes the most open and scalable platform for AI agents, with the introduction of Agent Sandbox . Consider the challenge that AI agents represent.

The past decade of cloud native infrastructure has been defined by relentless change — from containerization and microservices to the rise of generative AI. Through every shift, Kubernetes has been the constant, delivering stability and a uniform, scalable operational model for both applications and infrastructure. As Google Kubernetes Engine (GKE) celebrates its 10th anniversary, its symbiotic relationship with Kubernetes has never been more important.

Embeddings are a crucial component at the intersection of data and AI. As data structures, they encode the inherent meaning of the data they represent, and their significance becomes apparent when they are compared to one another. Vector search is a technique that uncovers the relative meaning of those embeddings by evaluating the distances between them within a shared space.

Training large video diffusion models at scale isn't just computationally expensive — it can become impossible when your framework can't keep pace with your ambitions. JAX has become a popular computational framework across AI applications, now recognized for its capabilities in training large-scale AI models, such as LLMs and life sciences models . Its strength lies not just in performance but in an expressive, scalable design that gives innovators the tools to push the boundaries of what's...

Today, many organizations are moving towards lakehouse architectures to have a single copy of their data and use multiple engines for different workloads — without having to copy or move the data. However, managing a data lakehouse can be complex, often requiring custom pipelines that are hard to operate and that aren’t interoperable between query engines. Further, governance can be challenging when you have independent systems in multiple, local silos.

We are excited to announce plans to bring a new Google Cloud region to Türkiye, as part of Google’s 10-year, $2 billion investment in the country. The establishment of this world-class digital infrastructure, in collaboration with Turkcell, marks a significant multi-year investment to accelerate digital transformation in Türkiye and cloud innovation across the region. "The partnership between Google Cloud and Turkcell will further accelerate Türkiye’s digital transformation journey.

In a world of agentic AI, building an agent is only half the battle. The other half is understanding how users are interacting with it. What are their most common requests? Where do they get stuck? What paths lead to successful outcomes? Answering these questions is the key to refining your agent and delivering a better user experience. These insights are also super critical for optimizing agent performance.

With BigQuery , our goal is to allow you to extract valuable insights from your data, regardless of how much there is, or where it’s from. A key part of how we do this is our BigQuery Data Transfer Service , which automates and streamlines data loading into BigQuery from a wide variety of sources. As a fully managed service, BigQuery Data Transfer Service offers a variety of benefits: Simplicity : Eliminate the need for infrastructure management or complex coding.

From uncovering new insights in multimodal data to personalizing customer experiences, AI is emerging as the engine of modern innovation. The explosion in AI adoption has created a need to bring data and AI closer — not only to streamline the AI lifecycle, but also to bring AI-driven insights and workflow automation to everyone in the organization. We created BigQuery ML to bring AI to your data, enabling data scientists and data analysts to build and deploy machine learning models directly...

Google is a Leader in the 2025 Gartner Magic Quadrant for Cloud Database Management Systems for the sixth year in a row, and for the third consecutive year is positioned furthest in vision. This comes as we cross into the era of agentic AI. Leading enterprises are in the early days of deploying agents to automate core business functions. At the center is data, the fuel for AI.

At Google Cloud, we’re constantly pushing the scalability of Google Kubernetes Engine (GKE) so that it can keep up with increasingly demanding workloads — especially AI. GKE already supports massive 65,000-node clusters , and at KubeCon, we shared that we successfully ran a 130,000-node cluster in experimental mode — twice the number of nodes compared to the officially supported and tested limit.

Today we’re announcing TalayLink, a new subsea cable connecting Australia and Thailand to significantly increase the reach, reliability, and resilience of digital connectivity across Asia Pacific and around the world. Named after the Thai word for sea or ocean, “talay,” TalayLink will extend the interlink cable that we announced as part of the Australia Connect initiative last year.

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Artificial intelligence is reshaping our world – accelerating discovery, optimising systems, and unlocking new possibilities across every sector. But with its vast potential comes a shared responsibility. AI can be a powerful ally for transforming businesses and reducing cost. It can help organizations minimize carbon emissions, industries manage energy use, and scientists model complex climate systems in real time. Yet the way we design, deploy, and run AI also matters.

Next week, don’t miss AWS re:Invent , Dec. 1-5, 2025, for the latest AWS news, expert insights, and global cloud community connections! Our News Blog team is finalizing posts to introduce the most exciting launches from our service teams. If you’re joining us in person in Las Vegas, review the agenda , session catalog, and attendee guides before arriving. Can’t attend in person? Watch our Keynotes and Innovation Talks via livestream.

Today, Amazon Bedrock introduces new service tiers that give you more control over your AI workload costs while maintaining the performance levels your applications need. I’m working with customers building AI applications. I’ve seen firsthand how different workloads require different performance and cost trade-offs. Many organizations running AI workloads face challenges balancing performance requirements with cost optimization.

AWS re:Invent 2025 is only 3 weeks away and I’m already looking forward to the new launches and announcements at the conference. Last year brought 60,000 attendees from across the globe to Las Vegas, Nevada, and the atmosphere was amazing. Registration is still open for AWS re:Invent 2025. We hope you’ll join us in Las Vegas December 1–5 for keynotes, breakout sessions, chalk talks, interactive learning opportunities, and networking with cloud practitioners from around the world.

This post was written with Lokesha Thimmegowda, Muppirala Venkata Krishna Kumar, and Maraka Vishwadev of CBRE. CBRE is the world’s largest commercial real estate services and investment firm. The company serves clients in more than 100 countries and offers services ranging from capital markets and leasing advisory to investment management, project management and facilities management.

Modern AI applications demand fast, cost-effective responses from large language models, especially when handling long documents or extended conversations. However, LLM inference can become prohibitively slow and expensive as context length increases, with latency growing exponentially and costs mounting with each interaction. LLM inference requires recalculating attention mechanisms for the previous tokens when generating each new token.

As enterprises rapidly adopt AI agents to automate workflows and enhance productivity, they face a critical scaling challenge: managing secure access to thousands of tools across their organization. Modern AI deployments no longer involve a handful of agents calling a few APIs—instead, enterprises are building unified AI platforms where hundreds of agents, consumer AI applications, and automated workflows need to access thousands of Model Context Protocol (MCP) tools spanning different teams,...

This post is co-written with Bob Boiko, Christopher Donnellan, and Sarat Tatavarthi from Condé Nast. For over a century, Condé Nast has stood at the forefront of global media, shaping culture and conversation through its prestigious portfolio of brands. Founded in 1909, the company has evolved from a traditional publisher into a modern media powerhouse.

Organizations are increasingly seeking to enhance customer experiences through natural, responsive voice interactions across their telephony systems. Amazon Nova Sonic addresses this need as a speech-to-speech generative AI model that delivers real-time voice conversations with low latency and natural turn-taking. It understands speech across different accents and speaking styles, responds with expressive voices in multiple languages, and handles interruptions gracefully.

This post was co-written with Andrew Browning, Anthony Doolan, Jerome Ronquillo, Jeff Burke, Chiheb Boussema, and Naisha Agarwal from UCLA. The University of California, Los Angeles ( UCLA ) is home to 16 Nobel Laureates and has been ranked the #1 public university in the United States for 8 consecutive years. The Office of Advanced Research Computing ( OARC ) at UCLA is the technology expansion partner to the research enterprise, providing both intellectual and technical know-how to turn...

This post is written by Chaim Rand, Principal Engineer, Pini Reisman, Software Senior Principal Engineer, and Eliyah Weinberg, Performance and Technology Innovation Engineer, at Mobileye. The Mobileye team would like to thank Sunita Nadampalli and Guy Almog from AWS for their contributions to this solution and this post. Mobileye is driving the global evolution toward smarter, safer mobility by combining pioneering AI, extensive real-world experience, a practical vision for the advanced driving.

Public Key Infrastructure (PKI) is essential for securing and establishing trust in digital communications. As you scale your digital operations, you’ll issue and revoke certificates. Revoking certificates is useful especially when employees leave, migrate to a new certificate authority hierarchy, meet compliance, and respond to security incidents. Use the Certificate Revocation List (CRL) or Online Certificate Status Protocol (OCSP) method to track revoked certificates.

In this post, we introduce the AWS provider for the Secrets Store CSI Driver, a new AWS Secrets Manager add-on for Amazon Elastic Kubernetes Service (Amazon EKS) that you can use to fetch secrets from Secrets Manager and parameters from AWS Systems Manager Parameter Store and mount them as files in Kubernetes pods. The add-on is straightforward to install and configure, works on Amazon Elastic Compute Cloud (Amazon EC2) instances and hybrid nodes, and includes the latest security updates and...

Although AWS Secrets Manager excels at managing the lifecycle of Amazon Web Services (AWS) secrets, managing credentials from third-party software providers presents unique challenges for organizations as they scale usage of their cloud applications. Organizations using multiple third-party services frequently develop different security approaches for each provider’s credentials because there hasn’t been a standardized way to manage them.

Amazon Web Services (AWS) is introducing guidelines for network scanning of customer workloads. By following these guidelines, conforming scanners will collect more accurate data, minimize abuse reports, and help improve the security of the internet for everyone. Network scanning is a practice in modern IT environments that can be used for either legitimate security needs or abused for malicious activity.

Exposed long-term credentials continue to be the top entry point used by threat actors in security incidents observed by the AWS Customer Incident Response Team (CIRT). The exposure and subsequent use of long-term credentials or access keys by threat actors poses security risks in cloud environments. Additionally, poor key rotation practices, sharing of access keys among multiple users, or failing to revoke unused credentials can leave systems exposed.

If you’ve ever spent hours manually digging through AWS CloudTrail logs, checking AWS Identity and Access Management (IAM) permissions, and piecing together the timeline of a security event, you understand the time investment required for incident investigation. Today, we’re excited to announce the addition of AI-powered investigation capabilities to AWS Security Incident Response that automate this evidence gathering and analysis work.

As generative AI became mainstream, Amazon Web Services (AWS) launched the Generative AI Security Scoping Matrix to help organizations understand and address the unique security challenges of foundation model (FM)-based applications. This framework has been adopted not only by AWS customers across the globe, but also widely referenced by organizations such as OWASP , CoSAI , and other industry standards bodies, partners, systems integrators (SIs), analysts, auditors, and more.

We’re pleased to announce the availability of the latest sample security baseline from Landing Zone Accelerator on AWS (LZA) —the Universal Configuration . Developed from years of field experience with highly regulated customers including governments across the world, and in consultation with AWS Partners and industry experts, the Universal Configuration was built to help you implement security and compliance at scale for on your regulated workloads.

Transfer across AWS Cloud partitions. Different identity planes. Long-lived IAM user credentials. As an enterprise customer, you might need to bring together security, operational, and compliance data from multiple AWS partitions . Creating a holistic view of these types of data is critical to support operations and applications but understanding how to accomplish this while maintaining compliance can be a challenge.

Certificates and the hierarchy of trust they create are the backbone of a secure infrastructure. AWS Private Certificate Authority is a highly available certificate authority (CA) that you can use to create private CA hierarchies, secure your applications and devices with private certificates, and manage certificate lifecycles. A certificate revocation list (CRL) is a file that contains a signed list of certificates revoked before their scheduled expiration date.

Getting credentials for local development with AWS is now simpler and more secure. A new AWS Command Line Interface ( AWS CLI ) command, aws login , lets you start building immediately after signing up for AWS without creating and managing long-term access keys. You use the same sign-in method you already use for the AWS Management Console . In this blog, we’ll show you how to get temporary credentials to your workstation for use with the AWS CLI, AWS Software Development Kits (AWS SDKs), and...

Amazon Web Services has been designated as a critical third-party provider (CTPP) by the European Supervisory Authorities (ESAs) under the European Union’s Digital Operational Resilience Act (DORA). This designation is a key milestone in the EU’s implementation of DORA, which took effect in January 2025 and aims to strengthen the operational resilience of the EU financial sector.

Introduction As one of the UK’s leading financial institutions, NatWest Group delivers a wide range of banking services across retail, commercial, and private banking sectors. The bank faced a significant challenge in modernising their contact center operations from their existing legacy platform, in managing their Natural Language Call Steering (NLCS) engine, which needed to process and classify over 1,600 distinct customer intents through voice interactions.

AWS End User Messaging now supports international SMS capabilities for US toll-free numbers (TFNs) . This new feature allows businesses to use a single US TFN to send SMS messages to over 150 countries , simplifying global outreach. It primarily benefits customers who need to send one-way transactional alerts—like one-time passwords (OTPs) or shipping notifications—and businesses that want to rapidly prototype and test their messaging strategy in new international markets without the overhead...

In today’s security-conscious world, organizations are implementing strong authentication methods for applications running inside virtual desktop environments. A common challenge is enabling users to leverage their local security keys and biometric devices with applications running inside a remote desktop session. Amazon WorkSpaces now addresses this challenge with WebAuthn redirection, allowing users to seamlessly use their local FIDO2-compatible authentication devices with applications...

Introduction Video calling capabilities in Amazon Connect enable organizations to provide face-to-face interactions between human agents and customers. However, organizations must be mindful of implementing this feature securely while ensuring proper authentication. In this blog post, we will demonstrate how you can easily and quickly set up secure video calling in Amazon Connect with end-user authentication using AWS services.

Customer satisfaction (CSAT) is one of the top metrics used to measure the customer’s perceptions after an interaction in your contact center. CSAT post-call surveys are important as a diagnostic tool to fine-tune the experience and service delivered in a contact center. They not only assess perceptions of experiences, but also help an organization understand customer motivations and intentions following the experience.

Our customers often tell us they need a tool to help build their autoscaling policies for Amazon WorkSpaces applications . Through smart capacity planning, organizations ensure sufficient resources during high-demand periods while avoiding excess provisioning. This approach improves reliability and performance while optimizing costs. In a previous blog: Amazon WorkSpaces Applications releases a simple pricing tool , we showed basic reporting and usage pattern visualization.

Mark your calendar for AWS re:Invent 2025 , December 1-5 in Las Vegas! Discover how Amazon WorkSpaces is helping organizations transform their digital workplace through AI-powered automation, enhanced security features, and streamlined migration paths from legacy VDI solutions. Through keynotes, breakout sessions, and hands-on workshops, you’ll explore how enterprises are eliminating physical infrastructure costs, enhancing security through intelligent isolation, and automating routine...

Overview Amazon Connect now offers multi-skill forecasting and scheduling for contact centers. This approach segments demand based on specialized agent skills instead of treating agents as interchangeable. Amazon Connect eliminates costly staffing imbalances while ensuring specialized agents handle high-value interactions. Manual scheduling overhead is thus reduced through AI-driven deployment based on real-time demand patterns.

Introduction: The evolving landscape of customer experience Whether booking a flight, checking a bank balance, or chatting with a retail brand’s support bot, today’s customers expect every interaction to be fast, error-free, and available on demand, without hiccups. Even a single delay, defect, or outage can send them away in search of a competitor who will meet their standards. This spells disaster for businesses that treat their customer experience (CX) performance as an afterthought.

Amazon Connect customers often integrate with Salesforce to simplify the agent experience with a unified customer view. While each service excels in its domain, when cases created in Amazon Connect aren’t synchronized back to Salesforce and vice versa, agents lose visibility into the complete customer journey. This leads to duplicated efforts and inconsistent service delivery.

At the core of Amazon Connect, the AI-powered customer experience solution from AWS, are flows and modules – flows define the customer journey, while modules serve as reusable building blocks that streamline operations. Today, we’re announcing three new capabilities that make flows and modules more powerful, flexible, and maintainable than ever before.

1. Introduction Amazon Connect Email delivers built-in capabilities to prioritize, assign, and automate customer service email resolution within Amazon Connect’s unified omni-channel contact center platform. Organizations can manage email interactions alongside voice and chat, route emails based on customer attributes and content, and maintain interaction history within customer profiles.

Emails landing in spam folders? Facing account suspension warnings? This blog post walks you through seven targeted video tutorials that address the most common Amazon Simple Email Service (Amazon SES) deliverability challenges our customers encounter. Each video in this series provides actionable insights which will allow you to gain knowledge on every aspect of email deliverability, improve your email performance and increase your inbox placement rates.

Running multiple users or business units (BUs) on a shared email infrastructure often creates deliverability and compliance risks. The tenant-based reputation isolation feature in Amazon Simple Email Service (Amazon SES) solves these challenges by separating email reputation by customer, BU, or workload. This is part 2 in a series covering the new tenants feature in Amazon Simple Email Service (SES) .

This is part 3 in a series covering the new tenants feature in Amazon Simple Email Service (SES) . The first post in this series discussed how users can improve email deliverability with tenant management in Amazon SES . Part 2 covered key aspects involved in planning the migration of existing Amazon SES infrastructure to use tenant-based reputation isolation.

It’s been a busy month in the world of HPC on AWS: we’ve seen new data sets, refinements to cluster operations, and deeper thinking about how workloads map to infrastructure. For our customers driving R&D with HPC, those changes matter (and yes, the nerd in me is quietly excited). In today’s post, we’ll tell you about a data-driven method for choosing the right compute instances for your specific workloads.

Introduction Organizations operating at scale on AWS often need to manage resources across multiple accounts and regions. Whether it’s deploying security controls, compliance configurations, or shared services, maintaining consistency can be challenging. AWS CloudFormation StackSets (StackSets) has been helping organizations deploy resources across multiple accounts and regions since its launch.

System impairments occur frequently in distributed cloud environments, making application resilience critical for customers. While traditional disaster recovery testing approaches are often manual and time-consuming, modern chaos engineering practices help validate your application’s ability to handle failures automatically. Amazon Application Recovery Controller (ARC) simplifies application recovery across AWS Regions and availability zones by providing readiness checks and routing controls.

AWS Application Load Balancer is an HTTP request load balancer designed to provide scalability through load distribution and high availability through target health detection and unhealthy target isolation. Today, we are excited to introduce ALB Target Optimizer, a powerful new feature through which ALB delivers optimal concurrency to each target. In this post, we will dive deep into how Target Optimizer works, discuss its benefits and walk through an example of how you can set it up.

Organizations manage thousands of AWS resources across multiple accounts and Regions to support their business operations. They want consistent tagging to support essential workflows such as attribute-based-access-controls (ABAC) , cost allocation, organizing resources by project/application/owner/environment, and triggering automated processes based on tag criteria.

AWS re:Invent 2025 is back in Las Vegas from December 1-5 with the most comprehensive Kubernetes programming we’ve ever assembled. This year’s event features 48 dedicated sessions covering the full spectrum of cloud-native technologies and variety of use cases ranging from foundational cluster management to advanced AI/ML workload orchestration and deployment on Amazon Elastic Kubernetes Service (Amazon EKS) .

Modern generative AI applications often need to stream large language model (LLM) outputs to users in real-time. Instead of waiting for a complete response, streaming delivers partial results as they become available, which significantly improves the user experience for chat interfaces and long-running AI tasks. This post compares three serverless approaches to handle Amazon Bedrock LLM streaming on Amazon Web Services (AWS), which helps you choose the best fit for your application.

At AWS re:Invent 2025, we’re excited to share latest innovations designed to empower organizations to thrive in the transformative AI era. This year’s top Cloud Operations announcements address the most pressing challenges our customers face today—from gaining comprehensive visibility into generative AI workloads to significantly accelerating incident resolution and efficiently managing the exponential growth of operational data in modern cloud environments. 1.

Organizations face a critical challenge in data protection: how to retain ever-increasing volumes of backup data for extended periods while maintaining cost efficiency. Regulatory mandates, internal governance policies, and comprehensive disaster recovery strategies often necessitate preserving backups for months or even years. At the same time, the threat landscape continues to evolve, with sophisticated ransomware attacks making secure, tamper-resistant backups more critical than ever.

Starting today, AWS Compute Optimizer expands its idle resource detection capabilities to include NAT Gateways . Building on our recent launch of idle recommendations for compute, storage, and database resources, you can now identify and clean up unused NAT Gateway resources to drive additional cost savings while maintaining application reliability. Why should you use unused NAT Gateway recommendations?

Netflix operates a global streaming service that serves hundreds of millions of users through a distributed microservices architecture. To effectively serve these customers, the engineering organization relies on its infrastructure teams that build internal tools and abstractions to accelerate developer productivity while maintaining operational excellence. The Online Data Stores (ODS) team is one such group, managing persistent data store solutions across the organization.

Amazon Elastic Kubernetes Service (Amazon EKS) powers tens of millions of clusters annually, with an architecture refined by years of real-world insights from thousands of customers running diverse workloads. EKS automatically scales your cluster’s control plane to meet your workload demands. This dynamic, intelligent scaling powers most use cases, handling everything from startup applications to enterprise platforms to mission critical workloads.

Streamline your AWS infrastructure development with AI-powered documentation search, validation, and troubleshooting Introduction Today, we’re excited to introduce the AWS Infrastructure-as-Code (IaC) MCP Server , a new tool that bridges the gap between AI assistants and your AWS infrastructure development workflow. Built on the Model Context Protocol (MCP), this server enables AI assistants like Kiro CLI , Claude or Cursor to help you search AWS CloudFormation and Cloud Development Kit (CDK)...

AI-Driven Development Life Cycle (AI-DLC) holds the promise of unlocking the full potential of AI in software development. By emphasizing AI-led workflows and human-centric decision-making, AI-DLC can deliver velocity and quality. However, realizing these gains hinges on how organizations effectively integrate AI into their engineering workflows. Through our work with engineering teams across industries, we have identified three recurring challenges.

The AI-Driven Development Life Cycle (AI-DLC) methodology marks a significant change in software development by strategically assigning routine tasks to AI while maintaining human oversight for critical decisions. Amazon Q Developer , a generative AI coding assistant, supports the entire software development lifecycle and offers the Project Rules feature, allowing users to tailor their development practices within the platform.

A hidden network of fiber-optic cables keeps the world connected. When you send an email across continents or stream a video from another country, that data travels through physical infrastructure underground and under the sea. These cables—many no bigger than a garden hose—are part of the physical foundation of the internet that billions depend on daily.

Jupyter notebooks have become a popular tool for data scientists, researchers, educators and analysts who need to experiment with code, visualize data, and document their findings. Many users run Jupyter on their laptops. This creates limitations to collaborate with a distributed team because users cannot securely provide direct access to their local JupyterLab application over the internet. Similarly, users are limited by the compute power of their own device.

We’re excited to share that the Swift AWS Lambda Runtime project has officially moved to the AWS Labs organization. You can now find it here: https://github.com/awslabs/swift-aws-lambda-runtime This move marks a new chapter for the project, while maintaining full continuity with its roots. A thank you to the Swift community The Swift AWS Lambda Runtime was originally created seven years ago by the Swift community (the initial commit was made the 1st of November 2018), as part of a broader...

Organizations need message processing systems that can prioritize critical business operations while handling routine tasks efficiently. When handling time-sensitive tasks like rush orders from key customers, critical system alerts, or multi-step business processes, you need to prioritize urgent messages while making sure other routine requests are processed reliably.

Are you ready to take your AWS skills to the next level with complete control over your learning environment? We’re excited to announce the beta release of the new set of Lab Tutorials on AWS Skill Builder. This innovative learning experience allows you to build comprehensive cloud solutions in your own AWS account, while following expert guidance from AWS subject matter experts through the integrated learning platform on AWS Skill Builder.

We are excited to announce the updated AWS Well-Architected Machine Learning Lens , now enhanced with the latest capabilities and best practices for building machine learning (ML) workloads on AWS. The AWS Well-Architected Framework provides architectural best practices for designing and operating reliable, secure, efficient, cost-effective, and sustainable workloads in the cloud.

We are delighted to announce an update to the AWS Well-Architected Generative AI Lens . This update features several new sections of the Well-Architected Generative AI Lens, including new best practices, advanced scenario guidance, and improved preambles on responsible AI, data architecture, and agentic workflows. The AWS Well-Architected Framework provides architectural best practices for designing and operating generative AI workloads on AWS.

When it comes to fitness technology, personalizing the experience is a major driver for member engagement and retention. And perhaps the best-known example of this comes from Peloton. As a connected fitness pioneer and leader, Peloton has transformed how millions of users experience workouts by delivering individualized insights that adapt to each member’s fitness journey, preferences, and goals.

Introduction Data mesh emerges as a transformative architectural paradigm that revolutionizes how organizations manage and share data across domains. By treating data as a product and decentralizing ownership to domain teams, data mesh enables scalable, secure, and efficient data sharing while preserving domain autonomy. This blog is intended for data architects and technical leaders who are implementing or planning to implement modern data mesh architectures.

The AWS for Telecom team is excited to welcome you to AWS re:Invent 2025 , from December 1-5, 2025, in Las Vegas, NV . AWS re:Invent brings together cloud and AI pioneers from across the globe—fostering collaborative innovation through peer-to-peer learning, expert-led discussions, and invaluable networking opportunities that catalyze cloud and AI innovation. Here, the global cloud community doesn’t just discuss the future – they build it.

AWS re:Invent 2025 is just around the corner, and Spatial Computing & Physical AI specialists will be on hand at the event to share exciting technical presentations, workshops, chalk talks and more. Please join us to learn how AWS infrastructure and services enable autonomous systems to perceive, understand, and act in the real world. Key Sessions to attend: A WS & NV IDIA Physical AI Reception Join AWS and NVIDIA for an evening of connection and innovation at re:Invent 2025.

AWS re:Invent 2025 returns to Las Vegas from December 1 to 5, bringing together builders, researchers, and business leaders who are exploring what is next in advanced computing on AWS. Quantum computing is moving from research labs into early real-world use. With Amazon Braket , AWS gives you managed access to multiple quantum hardware providers, high performance simulators, and tools for hybrid quantum-classical algorithms, all integrated with the AWS services you already use.

We’ve all been there: waiting on hold for what feels like an eternity just to schedule a routine doctor’s visit or repeating the same information to multiple people before finally reaching someone who can help. These frustrating experiences aren’t just inconvenient for patients—they’re also an increasingly large burden on health systems and their employees. Healthcare organizations are drowning under the weight of patient communication demands.

Amazon Elastic VMware Service (Amazon EVS) helps organizations migrate, run, and scale VMware workloads natively on AWS. It delivers a VMware Cloud Foundation (VCF) environment that operates directly within your Amazon Virtual Private Cloud (Amazon VPC) on Amazon EC2 bare-metal instances. The solution helps customers accelerate cloud migrations and data center exits without needing to refactor existing applications.

This blog is the first installment of an agentic AI in production series, focused on sharing learnings, customer examples, and AWS offerings for agentic AI across the value chain. The life sciences industry is at an inflection point as organizations seek to advance beyond broad AI experimentation to strategic adoption of agentic AI in production. The evolution from extensive POCs to targeted investments in bringing agents into production is surfacing new challenges.

OpenAI shares details about a Mixpanel security incident involving limited API analytics data. No API content, credentials, or payment details were exposed. Learn what happened and how we’re protecting users.

OpenAI expands data residency for ChatGPT Enterprise, ChatGPT Edu, and the API Platform, enabling eligible customers to store data at rest in-region.

We’re sharing our approach to mental health-related litigation. O handle sensitive cases with care, transparency, and respect while continuing to strengthen safety and support in ChatGPT.

JetBrains is integrating GPT-5 across its coding tools, helping millions of developers design, reason, and build software faster.

Shopping research in ChatGPT helps you explore, compare, and discover products with personalized buyer’s guides that simplify decision-making...

UCLA Professor Ernest Ryu and GPT-5 solved a key question in optimization theory, showcasing AI’s role in accelerating mathematical discovery.

OpenAI and Foxconn are collaborating to design and manufacture next-generation AI infrastructure hardware in the U.S. The partnership will develop multiple generations of data-center systems, strengthen U.S. supply chains, and build key components domestically to accelerate advanced AI infrastructure.

OpenAI is partnering with DoorDash, SCORE, and local organizations to help 1,000 small businesses build with AI. The Small Business AI Jam gives Main Street business owners hands-on tools and training to compete and grow.

OpenAI introduces the first research cases showing how GPT-5 accelerates scientific progress across math, physics, biology, and computer science. Explore how AI and researchers collaborate to generate proofs, uncover new insights, and reshape the pace of discovery.

OpenAI works with independent experts to evaluate frontier AI systems. Third-party testing strengthens safety, validates safeguards, and increases transparency in how we assess model capabilities and risks.

Learn how evals help businesses define, measure, and improve AI performance—reducing risk, boosting productivity, and driving strategic advantage.

OpenAI and Target are partnering to bring a new Target app to ChatGPT, offering personalized shopping and faster checkout. Target will also expand its use of ChatGPT Enterprise to boost productivity and guest experiences.

ChatGPT for Teachers is a secure workspace with education‑grade privacy and admin controls. Free for verified U.S. K–12 educators through June 2027.

This system card outlines the comprehensive safety measures implemented for GPT‑5.1-CodexMax. It details both model-level mitigations, such as specialized safety training for harmful tasks and prompt injections, and product-level mitigations like agent sandboxing and configurable network access.

Teacher Access Terms outline how verified educators may use ChatGPT for Teachers, covering eligibility, account management, and data privacy requirements.

Introducing GPT-5.1-Codex-Max, a faster, more intelligent agentic coding model for Codex. The model is designed for long-running, project-scale work with enhanced reasoning and token efficiency.

Description: Global manufacturer Scania is scaling AI with ChatGPT Enterprise. With team-based onboarding and strong guardrails, AI is boosting productivity, quality, and innovation.

OpenAI and Intuit have entered a $100M+ multi-year partnership to launch Intuit app experiences in ChatGPT and expand Intuit’s use of OpenAI’s frontier models to power personalized financial tools.

OpenAI has been named an Emerging Leader in Gartner’s 2025 Innovation Guide for Generative AI Model Providers. The recognition reflects our enterprise momentum, with over 1 million companies building with ChatGPT.

OpenAI launches OpenAI for Ireland, partnering with the Irish Government, Dogpatch Labs and Patch to help SMEs, founders and young builders use AI to innovate, boost productivity and build the next generation of Irish tech startups.

OpenAI is exploring mechanistic interpretability to understand how neural networks reason. Our new sparse model approach could make AI systems more transparent and support safer, more reliable behavior.

We’re piloting group chats in ChatGPT to make collaboration simple. Bring others—and ChatGPT—into one shared conversation to plan, brainstorm, and create together.

Philips is scaling AI literacy with ChatGPT Enterprise, training 70,000 employees to use AI responsibly and improve healthcare outcomes worldwide.

GPT-5.1 is now available in the API, bringing faster adaptive reasoning, extended prompt caching, improved coding performance, and new apply_patch and shell tools.

Neuro uses ChatGPT Business to scale nationwide with fewer than seventy employees. From drafting contracts to uncovering insights in customer data, the team saves time, cuts costs, and turns ideas into growth.

OpenAI is fighting the New York Times’ demand for 20 million private ChatGPT conversations and accelerating new security and privacy protections to protect your data.

This GPT-5 system card addendum provides updated safety metrics for GPT-5.1 Instant and Thinking, including new evaluations for mental health and emotional reliance.

We’re upgrading the GPT-5 series with warmer, more capable models and new ways to customize ChatGPT’s tone and style. GPT-5.1 starts rolling out today to paid users.

OpenAI is offering U.S. servicemembers and veterans within 12 months of retirement or separation a free year of ChatGPT Plus to support their transition to civilian life. The tools can help with resumes, interviews, education, and planning for what’s next.

Prompt injections are a frontier security challenge for AI systems. Learn how these attacks work and how OpenAI is advancing research, training models, and building safeguards for users.

Discover how Notion rebuilt its AI architecture with GPT-5 to create autonomous agents that reason, act, and adapt across workflows. Learn how this shift unlocked smarter, faster, and more flexible productivity in Notion 3.0.

BBVA is reimagining how employees work with ChatGPT Enterprise, embedding AI into everyday operations. The bank has saved hours per week per employee, created 20,000+ Custom GPTs, and achieved up to 80% efficiency gains.

Discover OpenAI’s Teen Safety Blueprint—a roadmap for building AI responsibly with safeguards, age-appropriate design, and collaboration to protect and empower young people online.

AI is advancing fast. We have the chance to shape its progress—toward discovery, safety, and a better future for everyone.

CRED is transforming premium customer experiences in India with OpenAI. Using GPT-powered tools, the company is improving support accuracy, reducing response times, and boosting customer satisfaction.

Vineet Mehra, Chief Marketing Officer at Chime, shares how AI is reshaping marketing into an agent-driven discipline. He explains why CMOs who champion AI literacy and thoughtful adoption will lead in the new era of growth.

More than 1 million business customers around the world now use OpenAI. Across healthcare, life sciences, financial services, and more, ChatGPT and our APIs are driving a new era of intelligent, AI-powered work.

Brazil is now one of the most engaged countries in the world when it comes to AI. From classrooms to farms and small businesses, Brazilians are using OpenAI products to learn, create, and drive innovation.

OpenAI introduces IndQA, a new benchmark for evaluating AI systems in Indian languages. Built with domain experts, IndQA tests cultural understanding and reasoning across 12 languages and 10 knowledge areas.

OpenAI and AWS have entered a multi-year, $38 billion partnership to scale advanced AI workloads. AWS will provide world-class infrastructure and compute capacity to power OpenAI’s next generation of models.

By Claudia Santoro and Sandeep Pal. In our Engineering Energizers Q&A series, we shine a spotlight on the innovative engineering minds at Salesforce. Today, we feature Claudia Santoro, SVP of Software Engineering, whose team developed MultiCloudJ — a cloud-agnostic Java SDK that allows Hyperforce service teams to deploy seamlessly across AWS, GCP, and Alibaba Cloud without the need for provider-specific code.

By Shiva Kumar Pentyala and James Zhu. In our “Engineering Energizers” Q&A series, we shine a spotlight on the innovative engineers at Salesforce. Today, we feature Shiva Kumar Pentyala, Lead Data Scientist for Agentforce . Shiva and his team developed HyperClassifier, a specialized small language model that classifies data according to user provided prompts 30 times faster than general-purpose models by using a single-token prediction architecture.

By Tripti Sheth and Anshul Jain. In our Engineering Energizers Q&A series, we shine a spotlight on the innovative engineers at Salesforce. Today, we feature Tripti Sheth, Senior Director of Software Engineering, who leads the Monitoring Cloud Notification Management team. Her team is responsible for migrating 4.3 million daily alert notifications to the Hyperforce infrastructure.

Enterprise AI deployments often stall due to architectural complexity, governance issues, and implementation challenges that internal teams can’t resolve on their own. Mukul Singh, a Forward Deployed Engineering (FDE) Director for Agentforce , guides customers in their Agentic Journey by helping them implement Salesforce AI solutions across their enterprise. Consequently, customers have reduced deployment timelines from six months to a few weeks and are scaling their team multifold.

In our Engineering Energizers Q&A series, we spotlight the brilliant engineering minds driving innovation at Salesforce. Today, we feature Meir Amiel, President and Chief Infrastructure Officer, who leads our Hyperforce Infrastructure and Trust teams. Meir’s organization operates the foundational, trusted infrastructure powering unified Agentforce 360 Platform — spanning Data 360 , Salesforce Platform, Agentforce , and MuleSoft — to support Customer 360, Industries, Tableau , and Slack product..

In our “Engineering Energizers” Q&A series, we highlight the brilliant engineering minds behind Salesforce’s innovations. Today, we feature Lakshmi Dontamsetti, Senior Manager of Software Engineering for Mobile Performance. Lakshmi and her team automated the migration of 20 production monitoring dashboards from Splunk to Tableau using Cursor and MCP Server, reducing engineering time by 75% while maintaining 99% production availability.

A gift is always more than just a physical present; it is a thought wrapped in paper, an appreciation corporeal. The holiday season always challenges us to think beyond the material and pass along the kindness. This year, we’re encouraging you to extend the positive impact you create beyond your inner circle to your community. But don’t worry! This doesn’t necessarily mean buying everyone in the world a present.

WALLDORF — SAP SE (NYSE: SAP) announced that AUMOVIO, the newly launched global technology company focused on future mobility, has selected a comprehensive suite of cloud solutions from SAP to help build its digital foundation. Run your core operations with confidence using ready-to-run cloud ERP from SAP Learn how These include SAP Cloud ERP Private, SAP Business Data Cloud, SAP Integrated Business Planning and SAP Signavio solutions.

WALLDORF — SAP SE (NYSE: SAP) today unveiled the next stage of its vision for European digital sovereignty with the launch of EU AI Cloud. SAP Sovereign Cloud: Embrace the cloud without compromise Learn how SAP now unites all existing milestones under a single strategic framework: a sovereign AI and cloud offering designed for Europe. SAP now offers a truly full-stack sovereign cloud offering, empowering customers to select the right level of sovereignty and deployment for their needs, whether..

As generative AI goes mainstream, enterprises are quickly realizing that off-the-shelf solutions can only take them so far. The next wave of value creation will come from AI that is deeply attuned to a business’s unique context, its data, processes, and decision environments. Transform your business by enabling strategy and delivering differentiated value for lasting impact Learn how Personalization in AI is no longer an innovation layer; it is becoming a foundational expectation.

At SAP, we believe that the future of supply chain management lies in resilience, efficiency, and automation. Supply chain business is a network business; no company operates in isolation. To achieve this, it is imperative to gain visibility into supply chain risks and disruptions and deeply collaborate with all critical trading partners. That’s why I’m super proud to share that SAP has been named a Leader in the 2025 IDC MarketScape for Worldwide Multi-Enterprise Supply Chain Commerce Network..

What if design worked like play? Where instead of racing to the end goal, we took the time to play, iterate, and experiment throughout the process? SAP Design: Building products people love Learn more For SAP Design, this mindset has been a guiding principle that informs how we build experiences for businesses globally. As part of my Design Diaries podcast , I had the opportunity to speak with Nisha Balaraman, a user researcher here at SAP.

The SAP Social Sabbatical for global engagement program is SAP Corporate Social Responsibility’s ( SAP CSR ) flagship pro-bono consulting initiative, where SAP employees offer pro-bono consulting to impact businesses like non-profits, social enterprises, and startups around the world. In July, the program took place in its 59 th location: Vilnius, Lithuania. Indeed, Lithuania is fertile ground for social enterprises and impact businesses.

Customer satisfaction has always been the cornerstone of successful businesses. In today’s fast-paced digital landscape, the voice of the customer carries even more significance. Run a sustainable, risk-resilient supply chain in the face of constant change Learn how With the proliferation of software review platforms, customers now have the power to influence purchasing decisions by sharing their authentic experiences.

Far East Organization (FEO) is the largest private property developer in Singapore, having built over 780 developments in the residential, hospitality, and commercial space segments for sales and lease. Its commercial portfolio comprises of retail, offices, industrial, and medical units. To support ongoing expansion, Far East sought more streamlined and efficient lease lifecycle management operations, leading the company to progressively digitalize the entire leasing lifecycle.

SAP SuccessFactors HCM has once again been recognized for its impact and customer satisfaction, earning the 2026 Buyer’s Choice award from TrustRadius , a leading buyer intelligence platform for business technology. Make your workforce unstoppable with a flexible set of AI-powered applications Explore SAP SuccessFactors This distinction reflects the voice of customers that consistently highlight the value, innovation, and measurable results delivered by SAP SuccessFactors solutions.

WALLDORF — SAP SE (NYSE: SAP) today announced that the United Nations Educational, Scientific and Cultural Organization (UNESCO) has selected advanced disaster risk management system EDiSON for use in the Solomon Islands. Put sustainability at the core of your business with AI-driven solutions Learn how The system was developed by SAP Japan and INSPIRATION PLUS, a venture from Oita University focused on disaster prevention.

WALLDORF — SAP SE (NYSE: SAP) today announced a new collaboration with France’s AI sector, which includes new and expanded partnerships with Bleu, Capgemini and Mistral AI. SAP Sovereign Cloud: Embrace the cloud without compromise Learn how The collaboration will combine SAP enterprise application expertise with France’s vibrant AI ecosystem to create secure, scalable, AI-driven sovereign cloud solutions that protect data and intellectual property while advancing Europe’s digital transformation.

At the Franco-German EU Summit on Digital Sovereignty in Berlin, SAP announced an expansion of its partnership with Mistral AI, marking a pivotal moment for European innovation in artificial intelligence (AI). SAP Joins Forces with France’s AI Ecosystem to Power Europe’s Sovereign Digital Future Read the news The collaboration aims to deliver secure, scalable, and AI-driven sovereign cloud solutions that advance Europe’s digital transformation while maintaining control over data and...

Today, at Microsoft Ignite in San Francisco, SAP and Microsoft unveiled plans to expand their longstanding partnership with the launch of SAP Business Data Cloud (SAP BDC) Connect for Microsoft Fabric. SAP BDC: Amplify the value of AI with your most powerful data Learn how The new capability simplifies access to semantically rich SAP data products through bi-directional, zero-copy sharing with Microsoft Fabric, enabling enterprises to gain instant access to trusted, business-ready insights for..

A pivotal question about how finance can be used to address the challenges of our time has been discussed at COP30 in Belém, Brazil: how can sustained climate finance be implemented to drive meaningful environmental impact? It’s a mindset shift SAP is already embracing to help our customers build genuine business resilience. It lies not just in reducing our own emissions, but in actively supporting and financing the restoration of the natural systems that underpin global economic stability.

Agentic AI is everywhere, and it holds the massive potential to transform the way we work, enhance efficiency, and amplify value — all while simplifying our daily tasks. Agentic AI is transforming the way we work, and SAP Signavio helps you maximize AI agent impact Explore AI agent excellence The autonomy of AI agents in decision-making and innovative problem-solving is what makes this disruptive technology so attractive to companies, yet also one that demands focus and clarity.

We’ve made phenomenal progress embedding AI across the suite. By the end of 2025, we will have 400 SAP Business AI use cases delivered in our solutions, including 40 Joule Agents, building on 2,100 Joule Skills. Our existing more than 300 use cases translate into 441 million EUR value add for a company with 10 billion EUR annual revenue. Advancements in AI agents, data, and platform capabilities equip developers with the tools to drive business transformation Read the innovation guide This...

In 2025, the consumer packaged goods ( CPG ) sector finds itself in a sticky situation. Companies across the category are facing mounting pressures on both the front and back ends of their operations — from rising costs and shifting trade policy to evolving consumer expectations and eroding brand loyalty. Exceed diverse consumer expectations to grow sustainably and profitably in an uncertain world Learn how Few industries feel this dual pressure more than American candy makers, particularly...

With the help of SAP AppHaus Network partner Flexso, Belgian steel wire producer Bekaert created a new AI Master Data Assistant with SAP AI Core in SAP Business Technology Platform (SAP BTP), and SAP SuccessFactors solutions. Bekaert aspires to become a people- and data-driven company. This requires a thorough strategic and cultural transformation, in which artificial intelligence plays a crucial role.

A rockstar, a CEO, and a teenager walk into a room. It’s not the start of a joke, but the essence of a decade-long partnership between SAP and We Are Family Foundation (WAFF). Together, they’ve built a model that shows how young leaders can move from token voices to strategy shapers, from climate action to AI regulation. And the results offer practical lessons for every company looking to future-proof their business.