The Tech Radar - Issue #11 (December 2025)

Here are Google’s latest AI updates from November 2025...

Schools across Northern Europe are safely and responsibly integrating Google and Gemini for Education tools in the classroom, saving teachers and administrations signifi…

An overview of Google’s latest funding announcement for computer science education and the newest AI Quest.

Google Beam, our first true-to-life 3D video communication platform, made great progress in 2025.

Gradient Canvas is a new art exhibition celebrating a decade of creative collaborations between artists and artificial intelligence.

Today, we are excited to announce that Gemini Live API , powered by the latest Gemini 2.5 Flash Native Audio model , is generally available on Vertex AI. Pioneering organizations have been using Gemini Live API to build the next generation of multimodal conversational AI that blends voice, vision, and text, to deliver fluid, human-like, and highly contextual interactions.

When you go Live with Search, you can have a back-and-forth voice conversation in AI Mode to get real-time help and quickly find relevant sites across the web. And now, …

Learn how Gemini 3 powers Google Search with Generative UI, Nano Banana, and interactive graphics.

Kaggle’s AI Agents Intensive with Google brought learners together in a no-cost course to build and deploy the next frontier of AI.

We’re expanding our content transparency tools to help you more easily identify AI-generated content. You can now check if a video was edited or created with Google AI d…

At Google Cloud, we continue to make critical investments to Vertex AI Agent Builder , our comprehensive and open platform, enabling you to build faster, scale efficiently, and govern with enterprise-grade security. Today, with the integration of the Cloud API Registry, we’re excited to bring enhanced tool governance capabilities to Vertex AI Agent Builder .

Today, Google Cloud dropped its 2026 AI Agent Trends Report.

Learn more about the AI tips and tools Google shared in 2025.

This year saw new AI models, transformative products and new breakthroughs in science and robotics.

Here are Google’s latest AI updates from December 2025...

Welcome to the second Cloud CISO Perspectives for December 2025. Today, Google Cloud’s Nick Godfrey, senior director, and Anton Chuvakin, security advisor, look back at the year that was. 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, you can subscribe here . aside_block ), ('btn_text', 'Visit the hub'), ('href', 'https://cloud.google.

Welcome to the first Cloud CISO Perspectives for December 2025. Today, Francis deSouza, COO and president, Security Products, Google Cloud, shares our Cybersecurity Forecast report for the coming year, with additional insights from our Office of the CISO colleagues. 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, you can subscribe here .

At Google Cloud, we sit at a unique intersection of two transformative technologies: AI and Web3. The rise of AI agents capable of interacting with blockchains opens up a world of automated financial strategies, fast payments, and more complex scenarios like executing complex DeFi operations and bridging assets across multiple chains. However, the practical viability of this new paradigm hinges on who hosts the agent, and who holds the private key to the operations. The core issue is simple.

Your security program is robust. Your audits are clean. But are you ready for a real-world attack? A tenacious human adversary can create a critical blind spot for security leaders: A program can be compliant, but not resilient. Bridging this gap requires more than just going through the red-teaming motions. To help security teams forge better instincts when responding to actual cyber-crisis events, we developed ThreatSpace , a cyber proving grounds and realistic corporate network that includes.

Today’s organizations highly value their ability to choose the security tools they want to use, driving the reality that the security landscape should be interoperable. At Google Cloud, we believe in meeting customers where they are — including the partners they want to work with. We are thrilled to continue expanding the power of Google Unified Security, our AI-powered, converged security solution, by fostering deeper strategic partnerships that deliver unparalleled choice and confidence to...

Editor's note : This blog was updated on Dec. 4, 5, 7, and 12, 2025, with additional guidance on Cloud Armor WAF rule syntax, and WAF enforcement across App Engine Standard, Cloud Functions, and Cloud Run. Earlier today, Meta and Vercel publicly disclosed two vulnerabilities that expose services built using the popular open-source frameworks React Server Components ( CVE-2025-55182 ) and Next.js to remote code execution risks when used for some server-side use cases.

Written by: Aragorn Tseng, Robert Weiner, Casey Charrier, Zander Work, Genevieve Stark, Austin Larsen Introduction On Dec. 3, 2025, a critical unauthenticated remote code execution (RCE) vulnerability in React Server Components, tracked as CVE-2025-55182 (aka "React2Shell"), was publicly disclosed. Shortly after disclosure, Google Threat Intelligence Group (GTIG) had begun observing widespread exploitation across many threat clusters, ranging from opportunistic cyber crime actors to suspected...

Introduction Despite extensive scrutiny and public reporting , commercial surveillance vendors continue to operate unimpeded. A prominent name continues to surface in the world of mercenary spyware, Intellexa. Known for its “Predator” spyware, the company was sanctioned by the US Government . New Google Threat Intelligence Group (GTIG) analysis shows that Intellexa is evading restrictions and thriving .

A new global survey of executives, decision makers and knowledge workers reveals that organizations truly transforming with AI are seeing real results that move their bu…

Look back on Google AI news in 2025 across Gemini, Search, Pixel and more products.

Google Workspace has released findings from our second survey that looks at how people aged 22-39 are using AI at work. Commissioned by Workspace in partnership with the…

Here are the top ways that institutions around the world used new Google for Education features in 2025.

Gaining visibility into your network traffic is crucial, particularly with hybrid environments encompassing both on-premises and cross-cloud infrastructure. VPC Flow Logs have long been a staple to obtain detailed records of network traffic to, from, and within your Google Cloud subnets. But with the rise of more complex network topologies enabled by the Cross-Cloud Network , we knew we needed to expand VPC Flow Logs to give you a more complete picture.

Editor’s note: The Chicago Mercantile Exchange (CME Group) has evolved from a nineteenth-century commodities exchange into one of the most advanced financial market infrastructures in the world. To support real-time trading and risk management at a global scale, the company launched a strategic partnership with Google Cloud. By migrating to Cloud SQL and adopting AI-powered insights, CME Group empowered developers, paid down technical debt, and unlocked new opportunities for data-driven...

If you’ve ever opened a dataset in BigQuery only to find columns with generic names like col1 , col2 , and value_x , you know the tax that poor documentation can put on analytics. At the heart of this issue is the schema — the blueprint of how your data is structured, named, and related. But when schemas are inconsistent, cryptic, or poorly documented, they create a knowledge gap that slows down discovery, governance, and trust. This is the reality of "metadata debt.

At Back Market , we’re fighting climate change one electronic device at a time. Our digital marketplace connects more than 1,800 sellers of professionally refurbished electronic devices — from smartphones and computers to home appliances and gaming consoles — with buyers looking for a good deal. We’re proud to be able to say that since 2014, we’ve averted the emission of 2 million tons of CO 2 by helping more than 17 million customers purchase refurbished electronics that work just as well as...

Earlier this year, we unveiled a big investment in platform and developer team productivity, with the launch of Application Design Center , helping them streamline the design and deployment of cloud application infrastructure, while ensuring applications are secure, reliable, and aligned with best practices . And today, Application Design Center is generally available.

When was the last time you knew — not just hoped — that your disaster recovery plan would work perfectly? For most of us, the answer is unclear. Sure, you may have a DR plan, a meticulously crafted document stored in a wiki or a shared drive, that gets dusted off for compliance audits or the occasional tabletop drill. You assume its procedures are correct, its contact lists are current, and its dependencies are fully mapped, and you certainly hope it works. But hope is not a strategy .

Today, we are thrilled to announce Nutanix Cloud Clusters (NC2) is generally available on Google Cloud. NC2 on Google Cloud is designed to migrate and modernize specialized, regulated, and mission-critical applications without refactoring your workloads or compromising on performance. This partnership brings the power of Google Cloud’s infrastructure and advanced AI models to your hybrid cloud, without compromising on data residency, connectivity, or operational consistency.

Today, many organizations operate with data that’s trapped in silos, in disconnected legacy systems and is days or hours old. However, the rise of AI presents the need and opportunity to unify these environments, tap into unstructured data from audio, video, and text files, which together, makes up more than 80% of enterprise data and enable business decisions informed by real-time data.

The AI state of the art is shifting rapidly from simple chat interfaces to autonomous agents capable of planning, executing, and refining complex workflows. In this new landscape, the ability to ground these intelligent agents in your enterprise data is key to unlocking true business value. Google Cloud is at the forefront of this shift, empowering you to build robust, data-driven applications quickly and accurately.

For most organizations, the question is no longer if they will use AI, but how to scale it from a promising prototype into a production-grade service that drives business outcomes. In this age of inference, competitive advantage is defined by your ability to serve useful information to users around the world at the lowest possible cost. As you move from demos to production deployments at scale, you need to simplify infrastructure operations with integrated systems that provide the latest AI...

The complexity of the infrastructure behind AI training and high performance computing (HPC) workloads can really slow teams down. At Google Cloud, where we work with some of the world’s largest AI research teams, we see it everywhere we go: researchers hampered by complex configuration files, platform teams struggling to manage GPUs with home-grown scripts, and operational leads battling the constant, unpredictable hardware failures that derail multi-week training runs.

December 15 - December 19 We introduced new self-service capabilities in Looker platform , enabling users to analyze local data alongside governed models, organize complex dashboards more effectively, and align the look and feel of their analytics with corporate branding. We outlined how you can connect your enterprise data to Google’s new Antigravity IDE .

Today’s AI capabilities provide a great opportunity to enable natural language (NL) interactions with your enterprise data through applications using text and voice. In fact, in the world of agentic applications, natural language is rapidly becoming the interaction standard. That means agents need to be able to issue natural language questions to a database and receive accurate answers in return.

AI and cloud technology are reshaping every corner of every industry around the world. Without our customers, there would be no Google Cloud, as they are the ones building the future on our platform. In this regular round-up , we dive into some of the exciting projects redefining businesses, shaping industries, and creating new categories. For our latest edition, we look into how Waze made its network more reliable; NBA superstar Stephen Curry gets quizzed by Gemini; a financial market...

Data teams seem to be constantly balancing the need for governed, trusted metrics with business needs for agility and ad-hoc analysis. To help bridge the gap between managed reporting and rapid data exploration, we are introducing several new features in Looker, to expand users’ self-service capabilities. These updates allow individuals to analyze local data alongside governed models, organize complex dashboards more effectively, and align the look and feel of their analytics with corporate...

Year in Review...

Algorithms & Theory...

Conferences & Events...

Generative AI...

Generative AI...

Machine Intelligence...

It’s the most wonderful time of the year to learn new skills in AI and more. Given the growing skills gap, our research with Ipsos shows that 70% of professionals set a goal to boost their knowledge in AI, machine learning, and generative AI over the next two years. Crucially, 65% prefer learning directly from industry experts to get relevant guidance. Why not use this holiday season to invest in yourself?

Today, we’re announcing IAM Policy Autopilot, a new open source Model Context Protocol (MCP) server that analyzes your application code and helps your AI coding assistants generate AWS Identity and Access Management (IAM) identity-based policies. IAM Policy Autopilot accelerates initial development by providing builders with a starting point that they can review and further refine.

Technical debt is one of the most persistent challenges facing enterprise development teams today. Studies show that organizations spend 20% of their IT budget on technical debt instead of advancing new capabilities. Whether it’s upgrading legacy frameworks, migrating to newer runtime versions, or refactoring outdated code patterns, these essential but repetitive tasks consume valuable developer time that could be spent on innovation.

Earlier this year in May, we announced the general availability of AWS Transform for .NET , the first agentic AI service for modernizing .NET applications at scale. During the early adoption period of the service, we received valuable feedback indicating that, in addition to .NET application modernization, you would like to modernize SQL Server and legacy UI frameworks.

Today, I’m happy to announce new serverless customization in Amazon SageMaker AI for popular AI models, such as Amazon Nova , DeepSeek , GPT-OSS , Llama , and Qwen . The new customization capability provides an easy-to-use interface for the latest fine-tuning techniques like reinforcement learning, so you can accelerate the AI model customization process from months to days.

Organizations face a challenging trade-off when adapting AI models to their specific business needs: settle for generic models that produce average results, or tackle the complexity and expense of advanced model customization. Traditional approaches force a choice between poor performance with smaller models or the high costs of deploying larger model variants and managing complex infrastructure.

The week after AWS re:Invent builds on the excitement and energy of the event and is a good time to learn more and understand how the recent announcements can help you solve your challenges and unlock new opportunities. As usual, we have you covered with our top announcements of AWS re:Invent 2025 that you can learn all about here. For me, one moment stood out above all the technical announcements: watching Rafi (Raphael Francis Quisumbing) from the Philippines receive the Now Go Build Award...

Building natural voice conversations with AI agents requires complex infrastructure and lots of code from engineering teams. Text-based agent interactions follow a turn-based pattern: a user sends a complete request, waits for the agent to process it, and receives a full response before continuing. Bi-directional streaming removes this constraint by establishing a persistent connection that carries data in both directions simultaneously.

Building intelligent agents to handle complex, real-world tasks can be daunting. Additionally, rather than relying solely on large, pre-trained foundation models, organizations often need to fine-tune and customize smaller, more specialized models to outperform them for their specific use cases. The AWS AI League provides an innovative program to help enterprises overcome the challenges of building advanced AI capabilities through exciting competitions that drive innovation in agentic AI and...

At Amazon, our culture, built on honest and transparent discussion of our growth opportunities, enables us to focus on investing and innovating to continually raise the standard on our ability to deliver value for our customers. Earlier this month, we had the opportunity to share an example of this process at work in Mantle, our next-generation inference engine for Amazon Bedrock .

The rise of powerful large language models (LLMs) that can be consumed via API calls has made it remarkably straightforward to integrate artificial intelligence (AI) capabilities into applications. Yet despite this convenience, a significant number of enterprises are choosing to self-host their own models—accepting the complexity of infrastructure management, the cost of GPUs in the serving stack, and the challenge of keeping models updated.

Quality assurance (QA) testing has long been the backbone of software development, but traditional QA approaches haven’t kept pace with modern development cycles and complex UIs. Most organizations still rely on a hybrid approach combining manual testing with script-based automation frameworks like Selenium, Cypress, and Playwright—yet teams spend significant amount of their time maintaining existing test automation rather than creating new tests.

Enterprise organizations increasingly rely on web-based applications for critical business processes, yet many workflows remain manually intensive, creating operational inefficiencies and compliance risks. Despite significant technology investments, knowledge workers routinely navigate between eight to twelve different web applications during standard workflows, constantly switching contexts and manually transferring information between systems.

Intelligent Document Processing (IDP) transforms how organizations handle unstructured document data, enabling automatic extraction of valuable information from invoices, contracts, and reports. Today, we explore how to programmatically create an IDP solution that uses Strands SDK , Amazon Bedrock AgentCore , Amazon Bedrock Knowledge Base , and Bedrock Data Automation (BDA) .

Businesses face a growing challenge: customers need answers fast, but support teams are overwhelmed. Support documentation like product manuals and knowledge base articles typically require users to search through hundreds of pages, and support agents often run 20–30 customer queries per day to locate specific information. This post demonstrates how to solve this challenge by building an AI-powered website assistant using Amazon Bedrock and Amazon Bedrock Knowledge Bases .

Operating a self-managed MLflow tracking server comes with administrative overhead, including server maintenance and resource scaling. As teams scale their ML experimentation, efficiently managing resources during peak usage and idle periods is a challenge. Organizations running MLflow on Amazon EC2 or on-premises can optimize costs and engineering resources by using Amazon SageMaker AI with serverless MLflow .

A new version of AWS Security Hub is now generally available with new capabilities to aggregate, correlate, and contextualize your security alerts across Amazon Web Services (AWS) accounts. The prior version is now known as AWS Security Hub CSPM and will continue to be available as a unique service focused on cloud security posture management and finding aggregation. One capability available in both services is automation rules .

Amazon GuardDuty and our automated security monitoring systems identified an ongoing cryptocurrency (crypto) mining campaign beginning on November 2, 2025. The operation uses compromised AWS Identity and Access Management (IAM) credentials to target Amazon Elastic Container Service (Amazon ECS) and Amazon Elastic Compute Cloud (Amazon EC2) . GuardDuty Extended Threat Detection was able to correlate signals across these data sources to raise a critical severity attack sequence finding.

AWS incident response operates around the clock to protect our customers, the AWS Cloud, and the AWS global infrastructure. Through that work, we learn from a variety of issues and spot unique trends. Over the past few months, high-profile software supply chain threat campaigns involving third party software repositories have highlighted the importance of protecting software supply chains for organizations of all types.

As we conclude 2025, Amazon Threat Intelligence is sharing insights about a years-long Russian state-sponsored campaign that represents a significant evolution in critical infrastructure targeting: a tactical pivot where what appear to be misconfigured customer network edge devices became the primary initial access vector, while vulnerability exploitation activity declined.

Modern web applications built on Amazon Web Services (AWS) often span multiple services to deliver scalable, performant solutions. However, customers encounter challenges when implementing a cohesive HTTP Strict Transport Security (HSTS) strategy across these distributed architectures. Customers face fragmented security implementation challenges because different AWS services require distinct approaches to HSTS configuration, leading to inconsistent security postures.

At Amazon Web Services (AWS) , we continue to invest in and deliver digital sovereignty solutions to help customers meet their most sensitive workload requirements. To address the regulatory and digital sovereignty needs of public sector and regulated industry customers, we launched AWS Dedicated Local Zones in 2023, with the Government Technology Agency of Singapore (GovTech Singapore) as our first customer.

At Amazon Web Services, we’re committed to deeply understanding the evolving needs of both our customers and regulators, and rapidly adapting and innovating to meet them. The upcoming AWS European Sovereign Cloud will be a new independent cloud for Europe, designed to give public sector organizations and customers in highly regulated industries further choice to meet their unique sovereignty requirements.

August 31, 2023: The date this blog post was first published. Over the past few decades, digital technologies have brought tremendous benefits to our societies, governments, businesses, and everyday lives. The increasing reliance on digital technologies comes with a broad responsibility for society, companies, and governments to ensure that security remains robust and uncompromising, regardless of the use case.

Over the first half of this year, AWS WAF introduced new application-layer protections to address the growing trend of short-lived, high-throughput Layer 7 (L7) distributed denial of service (DDoS) attacks. These protections are provided through the AWS WAF Anti-DDoS AWS Managed Rules (Anti-DDoS AMR) rule group. While the default configuration is effective for most workloads, you might want to tailor the response to match your application’s risk tolerance.

Today, we’re excited to announce IAM Policy Autopilot , an open-source static analysis tool that helps your AI coding assistants quickly create baseline AWS Identity and Access Management (IAM) policies that you can review and refine as your application evolves. IAM Policy Autopilot is available as a command-line tool and Model Context Protocol (MCP) server, and it analyzes application code locally to create identity-based policies to control access for application roles.

At re:Invent 2025, AWS unveiled its latest AI- and automation-enabled innovations to strengthen cloud security for customers to grow their business. Organizations are likely to increase security spending from $213 billion in 2025 to $377 billion by 2028 as they adopt generative AI. This 77% increase highlights the importance organizations place on securing their AI investments as they expand their digital footprints.

December 29, 2025: The blog post was updated to add options for AWS Network Firewall. December 12, 2025: The blog post was updated to clarify when customers need to update their ReactJS version. Within hours of the public disclosure of CVE-2025-55182 (React2Shell) on December 3, 2025, Amazon threat intelligence teams observed active exploitation attempts by multiple China state-nexus threat groups, including Earth Lamia and Jackpot Panda.

Conversational AI is the digital concierge of modern customer experience. The ability to understand, process, and respond to human language naturally represents more than just opportunities for automation; it’s about combining the best of AI efficiency so humans can focus on the work that requires the most judgement and empathy. Amazon Connect recently announced innovations in conversational AI that advances the effectiveness of the entire conversational AI stack.

Introduction Contact center leaders face an increasingly complex challenge: customers expect instant, personalized service across every channel, while human agents juggle multiple systems, knowledge bases, and workflows to resolve issues. Traditional approaches – building custom integrations for each system, training agents on dozens of applications, and manually updating customer records – are time-consuming, expensive, and difficult to scale.

The future of customer experience isn’t about choosing between AI efficiency and human connection—it’s about combining both to create something extraordinary. At re:Invent 2025 , Amazon Connect unveiled a comprehensive vision for how businesses can transform customer interactions through intelligent AI agents that work with human teammates. Agentic systems promise to autonomously understand, reason, and act to achieve specific goals. But the AWS approach to agentic AI is fundamentally different.

Introduction Contact center operations teams often face delays when making routine changes, as traditional approaches require developer assistance and code modifications. Amazon Connect data tables addresses this challenge by enabling administrators to manage operational data through a no-code interface, improving agility and reducing time-to-implementation for common tasks.

Toyota Insurance Management Solutions (Toyota Insurance) is a technology-driven insurance agency serving predominantly Toyota vehicle owners across North America. As a forward-thinking organization, Toyota Insurance continuously seeks innovative ways to enhance customer experience while maintaining operational efficiency. Back in February 2025, Toyota Insurance faced a critical decision: their SaaS-based web chat solution for Toyota Auto Insurance, their flagship product, was failing to meet...

Introduction Contact center administrators face a persistent challenge: efficiently testing and validating contact flows without disrupting live operations. Traditional approaches—manually calling systems, building custom validation tools, or investing in third-party solutions—are time-consuming and expensive. Large enterprises often allocate significant annual budgets to automated testing tools alone, while manual validation can require days or weeks of effort for each change.

Organizations managing on-premises email infrastructure face a critical challenge: how to modernize email systems while maintaining strict security and compliance standards. For healthcare providers, financial institutions, and government agencies, email messages often contain sensitive data that must remain on private networks throughout processing.

Organizations building AI applications need unified access to structured and unstructured data while maintaining governance and control. Data scientists, engineers, and AI developers require tools that help them extract value from diverse data sources across environments. IBM watsonx.data on AWS addresses these needs with new features that expand its capabilities.

This post was co-written with Omri Sass (Director of Product Management), Cansu Berkem (Director of Product Management), and Mohammad Jama (Product Marketing Manager) from Datadog. On-call engineers spend hours manually investigating incidents across multiple observability tools, logs, and monitoring systems. This process delays incident resolution and impacts business operations, especially when teams need to correlate data across different monitoring platforms.

This is a guest post coauthored with Karthick Shanmugam and Srinivasa Are of Verisk. Verisk is a leading provider of catastrophe modeling software as a service (SaaS) solutions used by major insurance and reinsurance companies worldwide. Our sophisticated analytical platforms help insurers, reinsurers, and risk managers assess the potential financial impact of large-scale disasters such as hurricanes, earthquakes, floods, and wildfires.

As enterprises scale their adoption of generative AI, one of the biggest technical challenges is connecting AI applications to the right data and making that data fast, accessible, and secure. AI agents are transforming industries through applications like customer support automation, personalized e-commerce recommendations, and research assistance in financial services and healthcare.

For organizations running Apache Spark workloads, version upgrades have long represented a significant operational challenge. What should be a routine maintenance task often evolves into an engineering project spanning several months, consuming valuable resources that could drive innovation instead of managing technical debt. Engineering teams must often manually analyze API deprecation, resolve behavioral changes in the engine, address shifting dependency requirements, and re-validate both...

The newly launched Apache Spark troubleshooting agent can eliminate hours of manual investigation for data engineers and scientists working with Amazon EMR or AWS Glue . Instead of navigating multiple consoles, sifting through extensive log files, and manually analyzing performance metrics, you can now diagnose Spark failures using simple natural language prompts. The agent automatically analyzes your workloads and delivers actionable recommendations.

Red Hat OpenShift Service on AWS (ROSA) is a turnkey platform built by Red Hat and AWS to help you build and manage containerized applications while reducing infrastructure management overhead. ROSA provides integrated tools for application development, container orchestration, and deployment automation. Recent updates include the ability to manage virtual machines on bare metal instances side by side with your containers, as well as AI model deployment support .

Organizations using Amazon Elastic Kubernetes Service (Amazon EKS) need to establish that their clusters are built-as-designed, production-ready, and follow Amazon EKS Best Practices . Although Amazon EKS manages the Kubernetes control plane, validating cluster configurations and establishing quality across infrastructure, applications, policies, and resilience remains a key responsibility for platform teams.

When organizations deploy generative AI and machine learning (ML) workloads on Amazon Elastic Kubernetes Service (Amazon EKS ), implementing efficient caching strategies becomes crucial for both performance and cost optimization. Storage and caching play major roles throughout the lifecycle of any AI, ML, or generative AI workloads on Amazon EKS. This includes strategies for container image caching and storage/caching for AI/ML models during training, and the inferencing process for model...

In part 1 of this series, Introduction to observing machine learning workloads on Amazon EKS , we established several key foundational concepts. We explored the fundamental differences between monitoring machine learning (ML) and traditional workloads, emphasizing how ML systems require more specialized metrics and granular monitoring. We detailed the essential metrics needed across ML infrastructure, model performance, and workload deployment on Amazon Elastic Kubernetes Service (Amazon EKS),..

Although Kubernetes offers scalability for GitLab Runner deployments, the operational overhead can’t be ignored. Organizations starting with containerized continuous integration/continuous development (CI/CD) without mature container practices often underestimate both the financial implications and security complexities. The true Total Cost of Ownership (TCO) extends far beyond the initial infrastructure provisioning, demanding meticulous architectural decisions that balance scale, cost...

Amazon Quick Sight delivers AI-powered business intelligence capabilities within Amazon Quick Suite , a scalable, serverless, AI-powered workspace that enables business insights, research, and automation within one integrated experience. One of the key components in Quick Sight is SPICE (Super-fast, Parallel, In-memory Calculations Engine). This fully managed and highly available query acceleration engine is designed to provide fast responses to queries originating within analyses, dashboards,..

The Amazon Quick Suite Learning Series is a free learning resource hosted by our Amazon Quick Suite Community . We provide live weekly webinars to give users of all technical backgrounds an on-demand experience to learn from our technical experts. Session topics include new feature launches, best practices, and feature deep dives to improve your Amazon Quick Suite user experience so you can unlock all that Quick Suite has to offer.

December 2025 marks ten years since AWS for Internet of Things ( AWS IoT ) set out to connect the physical world to the digital world. Today, hundreds of millions of devices connect to AWS IoT services daily, enabling organizations to extract real-time insights, automate processes, and unlock entirely new business models across virtually every industry.

Amazon Quick Suite helps business users make better decisions, faster and take action on them by unifying AI agents for research, insights, and automation into a single experience that understands your complete data context. To see all upcoming events, check out the events page on the Quick Suite Community and watch our previous Amazon Quick Suite Learning Series sessions on demand.

We have reached a milestone in technical evolution: the ability to use advanced AI models to influence not only the digital world but also the physical one. We are moving from AI that generates text to AI that moves atoms — augmenting our daily lives by folding clothes, organizing logistics, and reasoning through complex physical tasks. However, successfully integrating technology that interacts with the unstructured, dynamic physical world demands more than just code; it requires...

Introduction The world is moving towards an Autonomous Economy which represents a transformative economic model where AI, edge computing, robotics, spatial intelligence, and simulation technologies work together to enable systems to operate autonomously with minimal human intervention. Physical AI represents the convergence of these technologies enabling computers to sense, understand, predict, and act with the physical world, creating unprecedented opportunities for customers to embrace the...

Have you ever wondered what it is really like to be a woman in tech at one of the world’s leading cloud companies? Or maybe you are curious about how diverse perspectives drive innovation beyond the buzzwords? Today, we are providing an insider’s perspective on the role of a solutions architect (SA) at Amazon Web Services (AWS). However, this is not a typical corporate success story.

Agentic AI systems are rapidly expanding beyond the digital world and into the physical, where AI agents perceive, reason, and act in real environments. As AI systems increasingly interact with the physical world through robotics, autonomous vehicles, and smart infrastructure, a fundamental question emerges: how do we build agents that leverage massive cloud compute for complex reasoning while maintaining millisecond-level responsiveness for physical sensing and actuation?

Cedar, an open source authorization policy language and SDK, has joined the Cloud Native Computing Foundation (CNCF) as a Sandbox project. CNCF provides a neutral home for early stage and developing open source projects. Cedar fulfills the need for a fast, safe, and analyzable authorization policy language in cloud-native environments by allowing developers to define, externalize, and manage access control logic separately from application code. The Authorization Challenge, Why Cedar?

Welcome to December’s post announcing new training course launches and certification launches — helping equip you and your teams with the skills to work with AWS services and solutions. Missed our November course update? Check it out here . This month, we launched multiple new digital training products on AWS Skill Builder including ten new AWS Builder Labs, two new Learning Plans with Labs, and new exam prep classroom courses in support of the AWS Certified Cloud Practitioner (CLF-C02) and AWS.

Transform your cloud skills from theory to practice with our newest hands-on learning experiences Employers seek candidates with practical experience who can hit the ground running. That’s why we’re excited to announce the launch of two hands-on Lab Series on Coursera, designed to help you build real-world AWS skills in a guided, risk-free environment. AWS Fundamentals Lab Series: Build your cloud foundation The journey to cloud expertise begins with understanding the fundamentals.

Introduction Across the healthcare and life sciences (HCLS) industry, organizations are generating large volumes of data with potential to improve patient care. However, transforming this data into meaningful insights can be challenging for many institutions. Privacy regulations like Health Insurance Portability and Accountability Act (HIPAA), EU General Data Protection Regulation (GDPR), and requirements for data sovereignty and provenance necessitate careful coordination of data sharing...

Amazon Web Services re:Invent 2025 concluded on December 5 in Las Vegas, bringing together over 63,000 in-person attendees and 2 million+ livestream viewers. During five days of learning and networking, global business leaders explored how to leverage cloud and AI technologies to gain competitive advantages and elevate customer experiences. The event featured over 1,900 sessions, 3,500 speakers, and 500+ announcements.

Introduction Embarking on digital transformation initiatives often requires decommissioning legacy systems, exacerbating the complexity of preserving and accessing crucial data. Failing to address this issue effectively leads to data loss, operational inefficiencies, and potential regulatory violations, which can result in substantial fines and reputational damage.

It’s 2 AM. Your phone buzzes with an alert: major port closure, 47 inbound shipments affected, and a looming promotional launch in 72 hours. You quickly open your laptop to review a dozen disparate systems: inventory dashboards, logistics platforms, supplier portals. Each system tells part of the story, none providing the answer you need. How do you reroute shipments, reallocate inventory, and protect your promotional commitments before your competitors capture the market share you are about to.

As Communication Service Providers (CSPs) increasingly adopt cloud-native architectures, the need for performant, reliable, and secure network load balancing solutions is essential. Amazon Web Services (AWS) offers services and capabilities to address these challenges. AWS Network Load Balancer (NLB) stands out with its ability to handle high throughput and low latency requirements. NLB provides robust high-availability features through its architecture and design.

The Options Clearing Corporation (OCC) is the world’s largest equity derivatives clearing organization. Founded in 1973, OCC promotes stability and market integrity by delivering clearing and settlement services for options, futures, and securities lending transactions. As a Systemically Important Financial Market Utility ( SIFMU ), OCC operates under the jurisdiction of the U.S. Securities and Exchange Commission (SEC), the U.S.

Retail’s Big Show Returns: Join Amazon Web Services (AWS) at NRF 2026! The National Retail Federation’s annual trade show, NRF 2026: Retail’s Big Show, brings together approximately 40,000 attendees from across the globe to network and discuss the biggest issues and latest trends in retail. This premier industry event attracts representatives from 19,000 retail, consumer goods, and restaurant companies, spanning over 6,000 brands across 98 countries.

At the 14th annual AWS re:Invent, more than sixty-thousand executives, developers, and industry leaders united in Las Vegas to discover and explore the most cutting-edge data and AI innovations. Amidst dozens of launches, hundreds of demos, and thousands of sessions, healthcare and life sciences customers took center stage. They shared real-world use cases to demonstrate how they’re leveraging Amazon Web Services (AWS) solutions to accelerate drug discovery, improve clinical workflows, and...

OpenAI is strengthening ChatGPT Atlas against prompt injection attacks using automated red teaming trained with reinforcement learning. This proactive discover-and-patch loop helps identify novel exploits early and harden the browser agent’s defenses as AI becomes more agentic.

More than one million customers around the world now use OpenAI to empower their teams and unlock new opportunities. This post highlights how companies like PayPal, Virgin Atlantic, BBVA, Cisco, Moderna, and Canva are transforming the way work gets done with AI.

OpenAI introduces a new framework and evaluation suite for chain-of-thought monitorability, covering 13 evaluations across 24 environments. Our findings show that monitoring a model’s internal reasoning is far more effective than monitoring outputs alone, offering a promising path toward scalable control as AI systems grow more capable.

OpenAI is updating its Model Spec with new Under-18 Principles that define how ChatGPT should support teens with safe, age-appropriate guidance grounded in developmental science. The update strengthens guardrails, clarifies expected model behavior in higher-risk situations, and builds on our broader work to improve teen safety across ChatGPT.

OpenAI and the U.S. Department of Energy have signed a memorandum of understanding to deepen collaboration on AI and advanced computing in support of scientific discovery. The agreement builds on ongoing work with national laboratories and helps establish a framework for applying AI to high-impact research across the DOE ecosystem.

OpenAI shares new AI literacy resources to help teens and parents use ChatGPT thoughtfully, safely, and with confidence. The guides include expert-vetted tips for responsible use, critical thinking, healthy boundaries, and supporting teens through emotional or sensitive topics.

GPT-5.2-Codex is OpenAI’s most advanced coding model, offering long-horizon reasoning, large-scale code transformations, and enhanced cybersecurity capabilities.

GPT-5.2-Codex is OpenAI’s most advanced coding model, offering long-horizon reasoning, large-scale code transformations, and enhanced cybersecurity capabilities.

This system card outlines the comprehensive safety measures implemented for GPT‑5.2-Codex. 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.

OpenAI is launching the OpenAI Academy for News Organizations, a new learning hub built with the American Journalism Project and The Lenfest Institute to help newsrooms use AI effectively. The Academy offers training, practical use cases, and responsible-use guidance to support journalists, editors, and publishers as they adopt AI in their reporting and operations.

Developers can now submit apps for review and publication in ChatGPT, with approved apps appearing in a new in-product directory for easy discovery. Updated tools, guidelines, and the Apps SDK help developers build powerful chat-native experiences that bring real-world actions into ChatGPT.

OpenAI introduces FrontierScience, a benchmark testing AI reasoning in physics, chemistry, and biology to measure progress toward real scientific research.

OpenAI introduces a real-world evaluation framework to measure how AI can accelerate biological research in the wet lab. Using GPT-5 to optimize a molecular cloning protocol, the work explores both the promise and risks of AI-assisted experimentation.

The new ChatGPT Images is powered by our flagship image generation model, delivering more precise edits, consistent details, and image generation up to 4× faster. The upgraded model is rolling out to all ChatGPT users today and is also available in the API as GPT-Image-1.5.

BBVA is expanding its work with OpenAI through a multi-year AI transformation program, rolling out ChatGPT Enterprise to all 120,000 employees. Together, the companies will develop AI solutions that enhance customer interactions, streamline operations, and help build an AI-native banking experience.

BNY is using OpenAI technology to expand AI adoption enterprise-wide. Through its Eliza platform, 20,000+ employees are building AI agents that enhance efficiency and improve client outcomes.

OpenAI shipped Sora for Android in 28 days using Codex. AI-assisted planning, translation, and parallel coding workflows helped a nimble team deliver rapid, reliable development.

GPT-5.2 is OpenAI’s strongest model yet for math and science, setting new state-of-the-art results on benchmarks like GPQA Diamond and FrontierMath. This post shows how those gains translate into real research progress, including solving an open theoretical problem and generating reliable mathematical proofs.

GPT-5.2 is the latest model family in the GPT-5 series. The comprehensive safety mitigation approach for these models is largely the same as that described in the GPT-5 System Card and GPT-5.1 System Card. Like OpenAI’s other models, the GPT-5.2 models were trained on diverse datasets, including information that is publicly available on the internet, information that we partner with third parties to access, and information that our users or human trainers and researchers provide or generate.

Disney and OpenAI have reached an agreement to bring more than 200 Disney, Marvel, Pixar and Star Wars characters to Sora for fan-inspired short videos. The agreement emphasizes responsible AI in entertainment and includes Disney’s company-wide use of ChatGPT Enterprise and the OpenAI API.

OpenAI reflects on ten years of progress, from early research breakthroughs to widely used AI systems that reshaped what’s possible. We share lessons from the past decade and why we remain optimistic about building AGI that benefits all of humanity.

GPT-5.2 is our most advanced frontier model for everyday professional work, with state-of-the-art reasoning, long-context understanding, coding, and vision. Use it in ChatGPT and the OpenAI API to power faster, more reliable agentic workflows.

Discover how Podium used OpenAI’s GPT-5 to build “Jerry,” an AI teammate driving 300% growth and transforming how Main Street businesses serve customers.

OpenAI is investing in stronger safeguards and defensive capabilities as AI models become more powerful in cybersecurity. We explain how we assess risk, limit misuse, and work with the security community to strengthen cyber resilience.

Scout24 has created a GPT-5 powered conversational assistant that reimagines real-estate search, guiding users with clarifying questions, summaries, and tailored listing recommendations.

OpenAI co-founds the Agentic AI Foundation under the Linux Foundation and donates AGENTS.md to support open, interoperable standards for safe agentic AI.

Learn how OpenAI’s new certifications and AI Foundations courses help people build real-world AI skills, boost career opportunities, and prepare for the future of work.

Denise Dresser is joining as Chief Revenue Officer, overseeing OpenAI’s global revenue strategy across enterprise and customer success. She will help more businesses put AI to work in their day-to-day operations as OpenAI continues to scale.

OpenAI is collaborating with Deutsche Telekom to bring advanced, multilingual AI experiences to millions of people across Europe. ChatGPT Enterprise will also be deployed to help employees at Deutsche Telekom improve workflows and accelerate innovation.

Commonwealth Bank of Australia partners with OpenAI to roll out ChatGPT Enterprise to 50,000 employees, building AI fluency at scale to improve customer service and fraud response.

OpenAI and Instacart are deepening their longstanding partnership by bringing the first fully integrated grocery shopping and Instant Checkout payment app to ChatGPT.

Key findings from OpenAI’s enterprise data show accelerating AI adoption, deeper integration, and measurable productivity gains across industries in 2025.

Virgin Atlantic CFO Oliver Byers shares how the airline is using AI to speed up development, improve decision-making, and elevate customer experience.

OpenAI is launching OpenAI for Australia to build sovereign AI infrastructure, upskill more than 1.5 million workers, and accelerate innovation across the country’s growing AI ecosystem.

OpenAI researchers are testing “confessions,” a method that trains models to admit when they make mistakes or act undesirably, helping improve AI honesty, transparency, and trust in model outputs.

OpenAI is acquiring Neptune to deepen visibility into model behavior and strengthen the tools researchers use to track experiments and monitor training.

The OpenAI Foundation announces the initial recipients of the People-First AI Fund, awarding $40.5M in unrestricted grants to 208 nonprofits supporting community innovation and opportunity.

Mirakl is redefining commerce through AI agents and ChatGPT Enterprise—achieving faster documentation, smarter customer support, and building toward agent-native commerce with Mirakl Nexus.

OpenAI is awarding up to $2 million in grants for research at the intersection of AI and mental health. The program supports projects that study real-world risks, benefits, and applications to improve safety and well-being.

OpenAI and NORAD are bringing new magic to “NORAD Tracks Santa” with three ChatGPT holiday tools that let families create festive elves, toy coloring pages, and custom Christmas stories.

OpenAI takes an ownership stake in Thrive Holdings to accelerate enterprise AI adoption, embedding frontier research and engineering directly into accounting and IT services to boost speed, accuracy, and efficiency while creating a scalable model for industry-wide transformation.

Accenture and OpenAI are collaborating to help enterprises bring agentic AI capabilities into the core of their business and unlock new levels of growth.

Following the primer on investigating Salesforce security incidents , customers have asked for more details on how to correlate logs to reconstruct what happened. The Salesforce Log Analysis Guide provides a general overview with links to related resources. While Salesforce’s core platform remains robust, threat actors continuously evolve their techniques to gain unauthorized access and steal sensitive data.

Every SMB knows the struggle of limited budgets, scattered tools, and chaotic launches. What’s the strategy? What tools do you use? And what happens after the launch? Slack helps solve these challenges by bringing people, apps, and AI together in one place to simplify how teams plan, launch, and grow. As a startup or small and medium business (SMB) owner, getting your product or service to market is a huge thing. Create, launch, collect feedback, iterate — ‌ all at rocket speed.

If there’s one thing that small business owners can agree on, it’s that things rarely go according to plan. Markets shift overnight. Customer expectations evolve faster than release cycles. And yet, the pressure to deliver better experiences, faster than ever, keeps building. In this constant cycle of change, Agile methodology can help sift through this noise helping teams stay focused and ready to adapt when things don’t go as planned.

Key Takeaways AI project management tools help you cut manual work, improve visibility, strengthen teamwork, and keep your projects moving with steady progress. Slack, Salesforce, and Agentforce 360 connect your data, your updates, your customer activity, and your daily tasks so your team stays aligned. You can start small by automating simple steps, training your team, measuring early wins, and growing your projects with confidence. This summary was created with AI and reviewed by an editor.

Key Takeaways The biggest win for small businesses at trade shows is getting qualified leads, media attention, and a big stage for your product launches. Use a CRM to keep every conversation, note, and lead organized. It makes juggling hundreds of new contacts and conversations more seamless. AI can understand attendee traffic, and target audience interests better. This is key to designing your booths and presentations — with some help from AI.

Key Takeaways Exit readiness is built in daily operations, not at exit . The best-performing firms operationalize exit readiness early by embedding predictability, governance, and repeatability into core workflows, reducing diligence risk and increasing buyer confidence. Agentic workflows drive measurable value fast . Starting with high-volume workflows in sales, service, and revenue operations delivers faster sales cycles, higher forecast accuracy, lower cost-to-serve, and stronger compliance,.

Key Takeaways Heart-Centered Leadership (HCL) is defined as a well-balanced business strategy that leads with team connection and transparency. Businesses can scale with an HCL strategy because teams are cared for, heard, and understood. Teams can integrate their HCL strategy with a business-centered tool like Salesforce. This summary was created with AI and reviewed by an editor.

We are thrilled to announce that Salesforce has achieved the prestigious ISO/IEC 22301:2019 certification, the globally recognized standard for Business Continuity Management (BCM) . This milestone is a testament to our “Trust First” philosophy, guaranteeing that many of our flagship products are backed by the world’s most rigorous standards for uninterrupted service. When you build on Salesforce, you build on a foundation that is engineered to endure.

In our Engineering Energizers Q&A series, we highlight the engineering minds driving innovation across Salesforce. Today, Deborah Donoghue, Vice President of Centralized Incident Response, who leads the team responsible for leading the mitigation of high-severity incidents across Salesforce’s global operations. Her organization functions at hyperscale, commanding incidents for the thousands of services and billions of telemetry signals.

By Idan Asher, Mendi Neymark, and Shirel Vaiman. In our Engineering Energizers Q&A series, we highlight the engineering minds driving innovation across Salesforce. This edition features Shirel Vaiman, Senior Manager, Software Engineering, whose Service Delivery team leads the platform engineering foundation for Data 360, delivering resilient infrastructure for hyperscale data workloads across Hyperforce .

In our Engineering Energizers Q&A series, we highlight the engineering minds driving innovation across Salesforce. Today, we feature Darryn Dieken, Chief Availability Officer, who directs engineering productivity, reliability, and AI-driven operational excellence across Salesforce, supporting over 200,000 engineering changes weekly across 25 Hyperforce regions.

by Per Fuchs, Steven Lockhart, and Gautam Varma. In our Engineering Energizers Q&A series, we highlight the engineering minds driving innovation across Salesforce. Today, we meet Per Fuchs, a senior software engineer with the Hyper Database team. In close collaboration with others, his team empowers Data 360 to execute analytical queries directly on 100+ external systems.

In our Engineering Energizers Q&A series, we highlight the engineering minds driving innovation across Salesforce. Today, meet Angie Howard, Senior Manager of Software Engineering, who leads the team behind the Flash Reasoning Engine powering Agentforce Voice . This engine delivers natural, human-fast responses striving for sub-second Time to First Audio (TTFA) across a real-time voice pipeline.

By Kunal Pal and Krista Hardebeck. In our Engineering Energizers Q&A series, we showcase the engineering minds driving innovation across Salesforce. Today, we introduce Krista Hardebeck, Regional Vice President of Forward Deployed Engineering (FDE), whose team collaborated with a large multi-brand specialty retailer to launch their initial production Agentforce service experience on an accelerated timeline.

By Ishay Dahan, Lilach Nachmias, and Adi Vaknin. In our Engineering Energizers Q&A series, we highlight the engineering minds driving innovation across Salesforce. Today, we meet Lilach Nachmias, Senior Manager of Software Engineering, who helped migrate the Own Archive managed package, a seven-year-old third-party application, into Salesforce’s Core infrastructure. Own is a company Salesforce acquired a year ago, and this effort modernized thousands of Apex files into Core-compliant Java.

Founded in 1995, Howdens Joinery has become one of the UK’s premier kitchen and joinery suppliers, producing over 4.5 million kitchen cabinets annually and distributing more than 44 million pieces through its extensive supply chain network. As the business expanded, so did the complexity of its operations and the expectations of its customers. The existing manufacturing development team, focused on small-scale factory applications, found it increasingly difficult to keep up with the pace.

Most organizations see the potential of AI but struggle to turn that ambition into measurable, enterprise-scale results. Fragmented processes, limited AI expertise, and inconsistent data readiness often make it difficult to move beyond isolated experiments. Create transformative impact with the most powerful AI and agents fueled by the context of all your business data Learn how This is where SAP and the SAP partner ecosystem make a decisive difference.

In a global economy shaped by geopolitical fragmentation, macroeconomic strain, and the rapid rise of artificial intelligence, the role of the chief financial officer (CFO) has never played a more pivotal part in guiding strategy amid disruption. Economist Impact’s new report, “ Beyond the balance sheet: The new CFO mandate ,” sponsored by SAP, reveals how CFOs are shifting from stewards of financial accuracy to architects of business resilience, digital innovation, and long-term value.

With roots in ancient Greece and an Olympic history that dates to 1912, equestrian sports are steeped in tradition. Take dressage, which the Fédération Équestre Internationale (FEI) describes as the “ultimate expression of horse training and elegance,” a complex sport where human and equine athletes compete at events all over the world, evaluated by judges and spectators in an array of categories that prize beauty, grace, and tradition.

AJ Vaccines is accelerating its digital foundation with a new cloud platform and advanced IT solutions from SAP. SAP Cloud ERP: An out-of-the-box enterprise management solution Learn more With sales to 86 countries, 450 employees from more than 30 nationalities, and production of vital vaccines against diseases such as diphtheria, tetanus, whooping cough, tuberculosis, and bladder cancer, AJ Vaccines is a significant player in global vaccine preparedness.

The need in Europe and elsewhere for sovereign cloud offerings is one of the hottest enterprise IT topics this year. Recent geopolitical shifts and technological advancements have heightened the challenges for organizations responsible for society’s most critical functions, such as government, defense, and essential infrastructure. As AI expands and global data exchange accelerates, the question of who controls the data that shapes economies and national strategies has become paramount,...

If you haven’t heard about AI agents, you might want to check if your Wi-Fi’s working, or maybe you really have been living under a rock. In just a short time, these digital co-workers—or assistants, copilots, and other nicknames—have taken center stage in tech. And the hype is real. Expectations for what AI agents can do are sky-high; some imagine they’ll soon run the whole show, making decisions for us while we sip our coffee. But do we really want them to do everything on their own?

We’re thrilled that SAP has been named a Leader in the inaugural IDC MarketScape: Worldwide Talent Intelligence 2025 Vendor Assessment (doc #US52995425, November 2025). As organizations accelerate their shift to skills-based talent strategies, talent intelligence platforms are becoming mission critical to everything from workforce planning and hiring to mobility, development, and retention.

In the business world, scale shapes every decision. For smaller companies, the path to growth is rarely paved with the same stones as their larger counterparts. Their requirements are distinct and often more immediate; they need solutions that are nimble and adaptable. Rather than a one-size-fits-all approach, the SAP Business One solution was designed to empower small businesses and the lower midmarket with an ERP solution that can grow with them and meet their evolving needs as they grow and..

In today’s digital workplace, HR is more than a service function; it’s the engine of organizational agility. Yet fragmented, IT-centric systems, limited insights into employee needs, and disconnected data models still hold many teams back. SAP SuccessFactors Enterprise Service Management , purpose-built for HR, helps organizations break through those barriers by connecting AI, trusted data, and intuitive experiences to help transform HR service delivery from reactive support to proactive,...

Imagine setting out to hike a vast mountain range. Your goal is clear: reach the summit. But without a map, you risk taking wrong turns and missing the best route. The same principle applies to corporate sustainability. SAP’s goal is equally clear: enhancing our sustainability impact to help the world run better and improve people’s lives. The question is how do we navigate this complex terrain without losing our way?

Every Human Rights Day underscores a simple truth: lasting progress for people and their rights starts with each of us and thrives on intention, accountability, and collaboration. SAP is committed to respecting and advancing human rights Learn...

Gartner has once again recognized SAP as a Leader in the 2025 Magic Quadrant for Financial Planning Software (FP&A). 2025 Gartner Magic Quadrant for Financial Planning Software Read the report We believe this recognition reflects SAP’s continued commitment to innovation, customer success, and delivering extended planning and analysis solutions that empower organizations to thrive in today’s uncertain business environment.

Artificial intelligence (AI) is currently transforming the world of work. Investments are enormous and the technology is evolving rapidly—as we’re currently seeing with agentic AI. Create transformative impact with powerful AI and agents Learn how Beyond the technologies being deployed, the ability to use them meaningfully in daily work is becoming central. This is also seen as the major challenge of AI adoption. Developing AI skills has thus become a strategic priority.

During this holiday season, 58% of Gen Z and millennials say they would trust an AI agent to compare prices and recommend the best option. This marks the beginning of a monumental shift in how consumers shop and a new challenge for retailers in creating customer loyalty. Deliver AI-enhanced unified commerce experiences that drive profitable growth Learn how Seismic shifts are not new for retailers—back in 1999, e-commerce was still an afterthought.

We’re witnessing the AI revolution in customer support as it happens. From decades of customer support defined by reaction to calls, tickets, or queues, to the evolution of proactive support with pre-AI digital platforms, to the current AI-powered ecosystem that is redefining how support teams strategize, operate, and deliver resolutions. AI-enabled support anticipates needs, predicts failures, and delivers instant, seamless resolutions at scale.

The U.S. federal technology landscape is entering a new era, one defined not by migration alone, but by modernization with purpose. For decades, progress meant upgrading infrastructure or shifting workloads to the cloud. Unify every mission-critical function to drive government efficiency and innovation Learn how As the pace of digital demand accelerates and mission priorities grow more complex, it is clear that traditional modernization approaches can no longer keep pace.

As a global leader in high-strength fastening systems, precision parts, and assemblies for the automotive industry, KAMAX stands at the forefront of innovation–not only in manufacturing, but also in operational excellence. Keep pace with demand, minimize costs, and maintain sustainable, risk-resilient warehouse operations Learn how Headquartered in Homberg (Ohm), Germany, with worldwide locations, in 2024 KAMAX generated €1 billion in revenue and employs 4,000 people dedicated to serving OEMs...

To better organize its internal processes, collaborate more efficiently worldwide, and prepare for further growth, The Ocean Cleanup is implementing SAP S/4HANA Cloud, Public Edition . SAP Cloud ERP: An out-of-the-box enterprise management solution Learn more The step is part of the digital transformation needed to support the organization’s global mission. The Ocean Cleanup focuses on reducing plastic pollution in rivers and oceans, operates internationally, and is growing rapidly.