The Tech Radar - Issue #07 (August 2025)

Curious about the latest in AI infrastructure from Google Cloud? Every three months we share a roundup of the latest AI Hypercomputer news, resources, events, learning opportunities, and more. Read on to learn new ways to simplify AI infrastructure deployment, improve performance, and optimize your costs. AI innovation is moving at an unprecedented rate and achieving remarkable milestones— for example, Gemini Deep Think achieved the Gold Medal standard at the latest International Mathematics...

At Google I/O 2025, we announced a new, reimagined AI-first Colab with agentic capabilities, making it a true coding partner that understands your current code, actions, intentions, and goals. Today, we are excited to bring these capabilities to Google Cloud BigQuery and Vertex AI via the Colab Enterprise notebook . Designed to simplify and transform data science and analytics workflows for organizations, the new capabilities in the Colab Enterprise notebook can: Automate end-to-end data...

This Google ChromeOS collaboration with NASA uses AI to visualize the unseeable.

See how Googlers are using tools like Gemini and Imagen to save time, spark new ideas and build more helpful products.

Google has been named a Leader in the 2025 Gartner® Magic Quadrant™ for Conversational AI Platforms (CAIP) report, and positioned furthest in vision among all vendors evaluated. We believe this report marks a pivotal moment for enterprise leaders, signaling a market shift where having a strong vision is no longer an abstract concept but the critical indicator of a platform's ability to move beyond simple cost-saving automation and deliver transformative business value.

Learn more about Google’s partnership with NBA player Stephen Curry.

From smart organization to helpful reminders across apps, here are ways to try AI on Pixel 10 phones.

Today, we announced native image generation and editing in Gemini 2.5 Flash to deliver higher-quality images and more powerful creative control. Gemini 2.5 Flash Image is State of the Art (SOTA) for both generation and image editing. For creative use cases, this means you can create richer, more dynamic visuals and edit images until they’re just right. Here are some ways you can use our state of the art native image generation in Gemini 2.5 Flash.

Google Translate is using AI to make live translation and language learning even more helpful.

Here are some tips for writing more effective prompts for image generation and editing in Gemini.

Google is investing an additional $9 billion in Virginia through 2026 in cloud and AI infrastructure. As we expand our local presence, including a new data center in Che…

Earlier this year, we announced our commitment to bring Gemini to on-premises environments with Google Distributed Cloud (GDC ). Today, we are excited to announce that Gemini on GDC is now available to customers. For years, enterprises and governments with the strictest data security and sovereignty requirements have faced a difficult choice: adopt modern AI or protect their data. Today, that compromise ends.

Make your Pixel 10 yours with Magic Cue, Material 3 Expressive and more.

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. This August, we’re closing the gap between inspiration and implementation. We published 101 real-world gen AI use cases with technical blueprints , the technical counterpart to our popular 601 real-world gen AI use cases from the world's leading organizations.

To kick off the second episode in Season 8 of the Made by Google podcast, host Rachid Finge asks Pixel Product Manager Stephanie Scott to describe the Pixel 10 phones in…

Privacy-protecting Confidential Computing has come a long way since we introduced Confidential Virtual Machines (VMs) five years ago. The technology, which can protect data while in use, strengthens a security gap beyond data encryption at rest and in transit. Since then, customers have used Confidential Computing to protect patient medical data , comply with privacy guidance of GDPR and Schrems II for U.S.-Europe data transfers, and run high-performance computing (HPC) workloads securely .

Welcome to the second Cloud CISO Perspectives for August 2025. Today, David Stone and Marina Kaganovich, from our Office of the CISO, talk about the serious risk of cyber-enabled fraud — and how CISOs and boards can help stop it. 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 .

Today's cybersecurity landscape requires partners with expertise and resources to handle any incident. Mandiant, a core part of Google Cloud Security, can empower organizations to navigate critical moments, prepare for future threats, build confidence, and advance their cyber defense programs. We're excited to announce that Google has been named a Leader in the IDC MarketScape: Worldwide Incident Response 2025 Vendor Assessment (doc #US52036825, August 2025).

In the age of data democratization and generative AI, the way organizations handle data has changed dramatically. This evolution creates opportunities — and security risks. The challenge for security teams isn't just about protecting data; it's about scaling security and compliance to meet this new reality. While traditional security controls are vital to risk mitigation, many data security posture management solutions lack the necessary capabilities that today’s organizations require.

As organizations increase their focus on security and regulatory compliance, Google Cloud is helping our customers meet these obligations by fostering better collaboration between security and compliance teams, and the wider organization they serve. To help simplify and enhance how organizations manage security, privacy, and compliance in the cloud, we’re thrilled to announce that Google Cloud Compliance Manager is now available in preview.

AI presents an unprecedented opportunity for organizations to redefine their security posture and reduce the greatest amount of risk for the investment. From proactively finding zero-day vulnerabilities to processing vast amounts of threat intelligence data in seconds to freeing security teams from toilsome work, AI empowers security teams to achieve not seen before levels of defense and efficiency.

Organizations in highly-regulated sectors, such as government, defense, financial services, and healthcare, are required to meet stringent standards to safeguard sensitive data. Client-side encryption (CSE) for Google Workspace is a unique, privacy-preserving offering that keeps customer data confidential and enables the customer to be the sole arbiter of their data, helping them adhere to rigorous compliance regimes.

Welcome to the first Cloud CISO Perspectives for August 2025. Today, our Office of the CISO’s Bob Mechler and Anton Chuvakin dive into the key trends and evolving threats that we tracked in our just-published Cloud Threat Horizons report. 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 .

As part of Google Cloud’s fundamental belief that robust security can enable business resilience and innovation, we're committed to empowering security operations teams with solutions that deliver measurable value and demonstrable return on investment (ROI). That's why we're thrilled to announce a new, in-depth Forrester Consulting Total Economic Impact™ (TEI) study on Google Security Operations .

While AI can help empower defenders, it can also create new security challenges. Those two critical, interconnected themes are driving our announcements and presentations for this year's Google Cloud Security Summit. Join us live for Security Summit 2025 on August 19 to learn about the latest advancements in AI-powered security to strengthen your defenses and protect your AI innovations in the cloud.

Storage buckets are where your data lives in the cloud. Much like digital real estate, these buckets are your own plot of land on the internet. When you move away and no longer need a specific bucket, someone else can reuse the plot of land it refers to — if the old address is still accessible to the public. This is the core idea behind a dangling bucket attack.

As part of our commitment to cloud workload security and transparency, today, we’re introducing a new, lightweight audit-only mode for Access Approval to enable access approvals in an “on demand only” model. This new capability is available at no extra charge in the Security section of the Google Cloud Console. Previously, Access Approval delivered robust security by ensuring all Google Cloud accesses were reviewed.

Written by: Austin Larsen, Matt Lin, Tyler McLellan, Omar ElAhdan Update (August 28) Based on new information identified by GTIG, the scope of this compromise is not exclusive to the Salesforce integration with Salesloft Drift and impacts other integrations. We now advise all Salesloft Drift customers to treat any and all authentication tokens stored in or connected to the Drift platform as potentially compromised .

Written by: Patrick Whitsell In March 2025, Google Threat Intelligence Group (GTIG) identified a complex, multifaceted campaign attributed to the PRC-nexus threat actor UNC6384. The campaign targeted diplomats in Southeast Asia and other entities globally. GTIG assesses this was likely in support of cyber espionage operations aligned with the strategic interests of the People's Republic of China (PRC).

Written by: Marco Galli Welcome to the Frontline Bulletin Series Straight from Mandiant Threat Defense , the "Frontline Bulletin" series brings you the latest on the most intriguing compromises we are seeing in the wild right now, equipping our community to understand and respond to the most compelling threats we observe. This edition dissects an infection involving two threat groups, UNC5518 and UNC5774, leading to the deployment of CORNFLAKE.V3.

In today's dynamic business landscape, organizations are continuously challenged to achieve more with fewer resources. The demand is high for technology that is not only powerful but also economical, simple to manage, and secure. Enter ChromeOS, a cloud-first operating system designed to meet these exact needs by enhancing security, boosting employee productivity, and significantly cutting IT costs.

For many workers, the frequent need to switch between devices can become cumbersome and disruptive. Otherwise simple tasks like logging in, reopening applications, and re-establishing your workspace end up consuming valuable time when done many times throughout the day. To address this challenge, we’re happy to introduce ChromeOS desk sync. This feature allows users to pick up right where they left off, moving from one ChromeOS device to another and seamlessly resuming their work.

With Windows 10 end of life on the horizon, many businesses are getting more familiar with Windows 11. While your organization might be migrating, or perhaps has already migrated, to the latest Windows OS, many of your users might still prefer the familiarity and ease of Chrome as they spend more time working on the web. But Chrome isn't just the browser that users prefer—it's a trusted browser used by hundreds of millions of business users, many of them working in Microsoft environments.

Editor’s note: Today’s post is by Randall Steffens, Chief Information Officer for Stallant Health and Wellness , a healthcare practice in Crescent City, California dedicated to whole-person care and wellness. Stallant Health chose ChromeOS devices to support staff, improve IT productivity, and streamline security. “Instead of worrying about the management problems of expanding our technology deployment, I’m actually looking forward to it.

Editor’s note: Today’s post is by Asad Rahman, Director of IT for Wayfair , a leading e-commerce company specializing in furniture and home goods. Wayfair chose ChromeOS and ChromeOS Flex devices to support contact center staff, improve productivity, and streamline security tasks. " ChromeOS is a natural fit for how Wayfair operates today. We’ve embraced Google Workspace and Gemini to power collaboration and insights, and our teams are fast-moving and globally distributed.

Editor’s note: Today’s post is by Hiển Từ Thế (Jay), Chief Technology Officer for Cake Digital Bank, a prominent digital-only bank in Vietnam offering a comprehensive suite of financial services entirely through its mobile application. As a technology forward company, they chose ChromeOS to support staff with seamless deployment, ease of management, and streamlined security tasks. What does it take to be a successful digital bank?

Today, we’re bringing more generative AI tools to Google Vids with an all-new experience that lets you turn images into short videos, powered by Veo 3. Paid Google Works…

Google Vids is Workspace’s AI-powered video creation app that lets you create videos for things like employee training, product demos and more. There are a few ways to s…

Are you ready to unlock the power of Google Cloud and want guidance on how to set up your environment effectively? Whether you're a cloud novice or part of an experienced team looking to migrate critical workloads, getting your foundational infrastructure right is the key to success. That's where Google Cloud Setup comes in — your guided pathway to a secure cloud foundation and quick start on Google Cloud. Google Cloud Setup helps you quickly implement Google Cloud's recommended best practices.

Application owners are looking for three things when they think about optimizing cloud costs: What are the most expensive resources? Which resources are costing me more this week or month? Which resources are poorly utilized? To help you answer these questions quickly and easily, we announced Cloud Hub Optimization and Cost Explorer, in private preview, at Google Cloud Next 2025. And today, we are excited to announce that both Cloud Hub Optimization and Cost Explorer are now in public preview.

Editor’s note: Major League Baseball (MLB) delivers data in real time to millions of fans, apps, and broadcasters — tracking everything from pitch speeds to player positions. To keep pace, the Baseball Data Platform team turned to Memorystore for Valkey, Google Cloud’s fully managed in-memory data service. It’s helped MLB handle billions of daily requests, recover from outages in seconds, and focus more on innovation than infrastructure management.

We’re excited to share that Gartner has recognized Google as a Leader for the third year in a row in the 2025 Gartner® Magic Quadrant™ for Container Management, based on its Completeness of Vision and Ability to Execute. Google was positioned highest in Ability to Execute of all vendors evaluated and we believe this validates the success of our mission to be the best place for customers anywhere to run containerized workloads.

What guides your approach to software development? In our roles at Google, we’re constantly working to build better software, faster. Within Google, our Developer Platform team and Google Cloud have a strategic partnership and a shared strategy: together, we take our internal capabilities and engineering tools and package them up for Google Cloud customers.

Yahoo is in the midst of a multi-year journey to migrate its renowned Yahoo Mail application onto Google Cloud. With more than 100 services and middleware components in the application, Yahoo Mail is primarily taking a lift-and-shift approach for its on-premises infrastructure, and strategically transforming and replatforming key components and middleware to leverage cloud-native capabilities.

In today’s fast-paced cloud-native world, the speed at which your applications can start and scale is paramount. Faster pod startup times mean quicker responses to user demand, more efficient resource utilization, and a more agile development and deployment lifecycle overall. We're continuously working to enhance the performance of Google Kubernetes Engine (GKE) to help you achieve these goals.

Decision-makers, employees, and customers all need answers where they work: in the applications they use every day. In recent years, the rise of AI-powered BI has transformed our relationship with data, enabling us to ask questions in natural language and get answers fast. But even with support for natural language, the insights you receive are often confined to the data in your BI tool. At Google Cloud, our goal is to change this.

At Cloud Next ’25, we announced the preview of Firestore with MongoDB compatibility , empowering developers to build cost-effective, scalable, and highly reliable apps on Firestore’s serverless database using a familiar MongoDB-compatible API. Today, we’re announcing that Firestore with MongoDB compatibility is now generally available. With this launch, the 600,000 active developers within the Firestore community can now use existing MongoDB application code, drivers, and tools, as well as the..

“While containers make packaging apps easier, a powerful cluster manager and orchestration system is necessary to bring your workloads to production.” Ten years ago, these words opened the blog post announcing Google Kubernetes Engine (GKE). The need for a managed Kubernetes platform is as important today as it was then, especially as workloads have evolved to meet increasingly complex demands.

Managing vast amounts of data in cloud storage can be a challenge. While Google Cloud Storage offers strong scalability and durability, storage admins sometimes sometimes struggle with questions like: What’s driving my storage spend? Where is all my data in Cloud Storage and how is it distributed? How can I search across my data for specific metadata such as age or size?

August 25 - August 29 Firestore with MongoDB compatibility is now generally available (GA) Developers can now build cost-effective, scalable, and highly reliable apps on Firestore's serverless database using a familiar MongoDB-compatible API. With the general availability of Firestore with MongoDB compatibility, the 600,000 active developers within the Firestore community can now use existing MongoDB application code, drivers, and tools, as well as the open-source MongoDB ecosystem, with...

The promise of Google Kubernetes Engine (GKE) is the power of Kubernetes with ease of management, including planning and creating clusters, deploying and managing applications, configuring networking, ensuring security, and scaling workloads. However, when it comes to autoscaling workloads, customers tell us the fully managed mode of operation, GKE Autopilot , hasn’t always delivered the speed and efficiency they need.

Modern application development requires organizations to invest not only in scale but also in simplification and central governance. This means more than message routing; it requires a simple, unified messaging platform that can intelligently filter, transform, and govern the flow of information in real-time, taming complexity all in one place. Today, we are excited to announce the general availability of Eventarc Advanced , a unified, serverless eventing platform that goes beyond simple...

AI is transforming data into a strategic asset, driving demand for flexible, integrated, and real-time data architectures. But yesterday’s data tools can’t handle AI’s demand for massive volumes of real-time and multi-modal data. Data lakes, for instance, offer flexibility for raw data but lack enforcement and consistency. Meanwhile, traditional data marts, warehouses, and lake architectures often result in silos, and require costly ETL to bridge analytical, unstructured, and operational data.

Education Innovation...

Generative AI...

Generative AI...

Algorithms & Theory...

Generative AI...

Generative AI...

Human-Computer Interaction and Visualization...

Generative AI...

General Science...

Machine Intelligence...

September 3, 2025: The sample code has been updated to use streaming and tools. AWS is committed to bringing you the most advanced foundation models (FMs) in the industry, continuously expanding our selection to include groundbreaking models from leading AI innovators so that you always have access to the latest advancements to drive your business forward. Today, I am happy to announce the availability of two new OpenAI models with open weights in Amazon Bedrock and Amazon SageMaker JumpStart .

August 15, 2025 : Post updated to clarify the token limit for document ingestion. Today, I’m happy to share that Automated Reasoning checks, a new Amazon Bedrock Guardrails policy that we previewed during AWS re:Invent , is now generally available. Automated Reasoning checks helps you validate the accuracy of content generated by foundation models (FMs) against a domain knowledge. This can help prevent factual errors due to AI hallucinations.

AWS Summits in the northern hemisphere have mostly concluded but the fun and learning hasn’t yet stopped for those of us in other parts of the globe. The community, customers, partners, and colleagues enjoyed a day of learning and networking last week at the AWS Summit Mexico City and the AWS Summit Jakarta. Last week’s launches These are the launches from last week that caught my attention: OpenAI open weight models on AWS — OpenAI open weight models (gpt-oss-120b and gpt-oss-20b) are now...

Every day, organizations process millions of documents, including invoices, contracts, insurance claims, medical records, and financial statements. Despite the critical role these documents play, an estimated 80–90% of the data they contain is unstructured and largely untapped, hiding valuable insights that could transform business outcomes. Despite advances in technology, many organizations still rely on manual data entry, spending countless hours extracting information from PDFs, scanned...

Most organizations evaluating foundation models limit their analysis to three primary dimensions: accuracy, latency, and cost. While these metrics provide a useful starting point, they represent an oversimplification of the complex interplay of factors that determine real-world model performance. Foundation models have revolutionized how enterprises develop generative AI applications, offering unprecedented capabilities in understanding and generating human-like content.

As data becomes more abundant and information systems grow in complexity, stakeholders need solutions that reveal quality insights. Applying emerging technologies to the geospatial domain offers a unique opportunity to create transformative user experiences and intuitive workstreams for users and organizations to deliver on their missions and responsibilities.

As I was preparing for this week’s roundup, I couldn’t help but reflect on how database technology has evolved over the past decade. It’s fascinating to see how architectural decisions made years ago continue to shape the way we build modern applications. This week brings a special milestone that perfectly captures this evolution in cloud database innovation as Amazon Aurora celebrated 10 years of database innovation .

Healthcare discovery on ecommerce domains presents unique challenges that traditional product search wasn’t designed to handle. Unlike searching for books or electronics, healthcare queries involve complex relationships between symptoms, conditions, treatments, and services, requiring sophisticated understanding of medical terminology and customer intent. This challenge became particularly relevant for Amazon as we expanded beyond traditional ecommerce into comprehensive healthcare services.

Today, we are excited to announce that Mercury and Mercury Coder foundation models (FMs) from Inception Labs are available through Amazon Bedrock Marketplace and Amazon SageMaker JumpStart . With this launch, you can deploy the Mercury FMs to build, experiment, and responsibly scale your generative AI applications on AWS. In this post, we demonstrate how to get started with Mercury models on Amazon Bedrock Marketplace and SageMaker JumpStart.

Finance analysts across Amazon Finance face mounting complexity in financial planning and analysis processes. When working with vast datasets spanning multiple systems, data lakes, and business units, analysts encounter several critical challenges. First, they spend significant time manually browsing data catalogs and reconciling data from disparate sources, leaving less time for valuable analysis and insight generation.

Air pollution remains one of Africa’s most pressing environmental health crises , causing widespread illness across the continent. Organizations like sensors.AFRICA have deployed hundreds of air quality sensors to address this challenge, but face a critical data problem: significant gaps in PM2.5 (particulate matter with diameter less than or equal to 2.

This post is co-written with Julieta Rappan, Macarena Blasi, and María Candela Blanco from the Government of the City of Buenos Aires. The Government of the City of Buenos Aires continuously works to improve citizen services. In February 2019, it introduced an AI assistant named Boti available through WhatsApp, the most widely used messaging service in Argentina.

Today, we’re excited to announce that Amazon SageMaker HyperPod now supports managed node automatic scaling with Karpenter, so you can efficiently scale your SageMaker HyperPod clusters to meet your inference and training demands. Real-time inference workloads require automatic scaling to address unpredictable traffic patterns and maintain service level agreements (SLAs). As demand spikes, organizations must rapidly adapt their GPU compute without compromising response times or cost-efficiency.

When deploying AI agents to Amazon Bedrock AgentCore Runtime (currently in preview), customers often want to use custom domain names to create a professional and seamless experience. By default, AgentCore Runtime agents use endpoints like https://bedrock-agentcore.{region}.amazonaws.com/runtimes/{EncodedAgentARN}/invocations . In this post, we discuss how to transform these endpoints into user-friendly custom domains (like https://agent.yourcompany.

This post was co-written with Nick Frichette and Vijay George from Datadog. As organizations increasingly adopt Amazon Bedrock for generative AI applications, protecting against misconfigurations that could lead to data leaks or unauthorized model access becomes critical. The AWS Generative AI Adoption Index , which surveyed 3,739 senior IT decision-makers across nine countries, revealed that 45% of organizations selected generative AI tools as their top budget priority in 2025.

Amazon’s threat intelligence team has identified and disrupted a watering hole campaign conducted by APT29 (also known as Midnight Blizzard), a threat actor associated with Russia’s Foreign Intelligence Service (SVR). Our investigation uncovered an opportunistic watering hole campaign using compromised websites to redirect visitors to malicious infrastructure designed to trick users into authorizing attacker-controlled devices through Microsoft’s device code authentication flow.

As your organization grows, the amount of data you own and the number of data sources to store and process your data across multiple Amazon Web Services (AWS) accounts increases. Enforcing consistent access controls that restrict access to known networks might become a key part in protecting your organization’s sensitive data. Previously, AWS customers could rely on AWS Identity and Access Management (IAM) global condition keys such as aws:SourceVpc and aws:SourceVpce to restrict access to...

Amazon Web Services (AWS) is pleased to announce its successful completion of the NHS Data Security and Protection Toolkit (NHS DSPT) assessment audit and achieving a status of Standards Exceeded . The NHS DSPT is an assessment that allows organizations to measure their performance against the National Data Guardian’s 10 data security standards . All organizations that access NHS patient data and systems are expected to use the toolkit to demonstrate their compliance with safe data security...

Amazon Web Services (AWS) is pleased to announce the successful completion of our annual audit to renew our Payment Card Industry Three Domain Secure (PCI 3DS) certification. As part of this renewal, we have expanded the scope to include three additional AWS services and three additional AWS Regions: Newly added AWS services: Amazon Verified Permissions AWS B2B Data Interchange AWS Resource Explorer Newly added AWS Regions: Asia Pacific (Thailand) Asia Pacific (Malaysia) Mexico (Central) This...

Amazon Web Services (AWS) is excited to announce that 177 AWS services have achieved HITRUST certification for the 2025 assessment cycle, including the following five services which were certified for the first time: Amazon Verified Permissions AWS B2B Data Interchange AWS Payment Cryptography AWS Resource Explorer AWS Security Incident Response The full list of AWS services, which a third-party assessor audited and certified under the HITRUST CSF, is now available on our Services in Scope by...

Security teams often need to analyze potentially malicious files, binaries, or behaviors in a tightly controlled environment. While this has traditionally been done in on-premises sandboxes, the flexibility and scalability of AWS make it an attractive alternative for running such workloads. However, conducting malware analysis in the cloud brings a unique set of challenges—not only technical, but also policy-driven.

The guest data of AWS customers running on the AWS Nitro System and Nitro Hypervisor is not at risk from a new attack dubbed “L1TF Reloaded.” No additional action is required by AWS customers; however, AWS continues to recommend that customers isolate their workloads using instance, enclave, or function boundaries as described in AWS public documentation. The AWS Nitro System and Nitro Hypervisor are designed to help protect against this class of attacks.

Introduction As Windows 10 approaches end of life, end-user computing administrators need to migrate users to Windows 11 virtual desktops. Amazon WorkSpaces has launched self-service BYOL enablement for customers . This new feature ends the need to open Premium Support cases to enable BYOL. With BYOL enabled, Amazon WorkSpaces users are able to import custom Windows images, ISOs, or existing AMIs.

As the Director of Product for AWS End User Computing (EUC) services , IT leaders from organizations of all shapes and sizes often tell me they need highly secure, globally available, easy-to-manage solutions, with the flexibly to configure them in a way that best supports their specific requirements. At AWS, we obsess over customer feedback and work hard to build capabilities that help them overcome their toughest end-user computing challenges.

The contact center space is rapidly evolving, making it difficult for companies and people to stay up to date on the latest capabilities and best practices. Since launching in 2017, Amazon Connect has evolved as well with over 700 major feature releases, largely driven by customer input. The expanded features of Amazon Connect deliver the best outcomes for users who possess the skillsets to fully utilize these capabilities.

Introduction As of 2023, short messaging service (SMS) has a global reach of approximately 5 billion unique users. With 80% of adults using text messaging for communication, it is an essential tool for reaching a wide audience. Amazon Connect two-way short messaging service (SMS) capabilities enabling you to resolve customer issues via text messaging. It offers a convenient channel for customers while enabling you to deliver personalized experiences at a lower cost.

Workforce management (WFM) is essential for contact center success. It matches staff levels to call volume patterns, which reduces customer wait times and operational costs. Effective WFM ensures the right agents with the right skills are available at the right time to handle customer contact volume. This systematic approach to scheduling maximizes both agent productivity and customer satisfaction.

Organizations often struggle to efficiently manage complex interactions involving multiple participants. Amazon Connect addresses this challenge with its new multi-user in-app, web, and video calling capabilities. This feature enables multiple customers and agents to seamlessly participate in the same communication session. During an ongoing call initiated from a web browser or mobile application, participants can dynamically add...

Contact center agents juggle dozens of customer interactions daily. Without easy access to their recent call history, valuable context gets lost between conversations. Amazon Connect provides agents with powerful tools to manage real-time voice and digital interactions. One valuable enhancement is the ability for agents to view a personalized summary of their recently handled voice contacts—such as calls—in a single, consolidated view.

By Marcos Ortiz (AWS), Ryan Baham (Empower), Illan Geller (Accenture), Ozlem Celik-Tinmaz (Accenture) , and Prabhu Akula (Accenture) Introduction Empower is a leading financial services company serving over 18 million Americans with $1.8 trillion in assets under administration. They take approximately 10 million customer calls annually through their care centers.

In today’s hyper-connected world, customer support teams must juggle an ever-growing portfolio of products and services all within a single CRM like Salesforce. Agents need instant access to the right information, yet they too often find themselves wading through a monolithic, consolidated knowledge base that spans every line of business (LOB) from telecom billing to insurance claims to retail returns.

Introduction Do you need to send SMS across multiple AWS accounts? Or have you ever wanted to use the same specific 10DLC phone number or branded Sender ID across those accounts? Perhaps your development team needs to test an application in a sandbox account using a production-ready number, or you’re migrating a workload to a new account and need to ensure your customer communications aren’t disrupted.

Amazon Simple Email Service (Amazon SES) serves diverse industries—from ecommerce services to financial institutions to marketing technology product providers—helping organizations manage their email communication needs. Many businesses face the challenge of sending emails not just for themselves, but on behalf of their downstream customers or across various business divisions. These scenarios, commonly known as multi-tenant email sending practices , require careful architectural consideration.

In today’s digital landscape, efficient email management is crucial for businesses of all sizes. Amazon Simple Email Service (Amazon SES) has long been a go-to solution for handling transactional and marketing emails. Through Mail Manager, Amazon SES offers powerful tools to enhance your email infrastructure, particularly for outbound email handling and archiving. In this post, we explore how Mail Manager can modernize your approach to outbound email management.

Cargill Ocean Transportation (OT), one of the world’s largest transporters of dry and bulk cargo, manages a fleet of approximately 650 chartered vessels, completes over 4,500 voyages annually, and makes thousands of port calls to more than 700 ports. Their cargo primarily consists of iron ore, coal, grain, fertilizer, and sugar, though they have the capability to transport over 100 different dry bulk commodities.

In today’s rapidly evolving cloud landscape, network architects, engineers, and cloud teams need to move faster to design, deploy, and manage complex Amazon Web Services (AWS) networking infrastructure at scale. The emergence of generative AI capabilities, particularly Amazon Bedrock and Amazon Q , offers unprecedented opportunities to transform how we approach these challenges and solve them in new ways.

Introduction Today, we are announcing the general availability of the Hybrid Edition of AWS Directory Service for Microsoft Active Directory ( AWS Managed Microsoft AD ). This new edition lets you extend your existing self-managed Active Directory (AD) domain to AWS Managed Microsoft AD while preserving your current identity and access infrastructure.

Introduction The first web crawler was created in 1993 to measure the size of web, and they have now evolved into modern bots powered by agentic AI. Today’s internet is increasingly populated and dominated by automated AI bots that interact with applications to support AI-related tasks. We classified AI bots into three types: AI scrapers , which systematically collect data from your application to train AI models.

Today, we’re announcing improved observability for throttled requests in Amazon DynamoDB . These enhancements provide developers with enriched exception messages, detailed Amazon CloudWatch metrics, and a new, more cost-effective mode for CloudWatch Contributor Insights . Together, these improvements make it straightforward to understand, monitor, and optimize your DynamoDB applications’ performance.

Understanding Amazon FSx for NetApp ONTAP Transitioning your business systems and data to the cloud can seem complex, especially if you are new to cloud file storage services. Whether you are moving from traditional on-premises enterprise storage or just getting started in the cloud, sizing your storage correctly is key to avoiding future issues. The right approach enables you to move your files to the cloud even if the cloud is new territory for you and your team.

Building mission-critical applications needs a deep understanding of both high-availability and resilience. In our previous post, A Deep Dive into Resilience and Availability on Amazon Elastic Container Service , we defined availability as the probability of service being operational, and resilience as a service’s ability to maintain operations during adverse conditions and quickly recover from failures.

Today, we are launching a new set of instance family categories for AWS Batch , "default_x86_64" and "default_arm64" . These new categories represent both a clarification and an improvement upon the existing “optimal” instance type category. This blog post gives some background on the new feature and how you can configure your Batch environments to take advantage of the improvements.

In May 2025, we launched AWS Transform for .NET with the capability to connect and download .NET code bases from GitHub, GitLab, or Bitbucket for transformation (described in the AWS Transform User Guide ). AWS Transform now also supports code bases in Azure Repos and Azure Artifacts. With this new capability, you can transform .NET applications with source control in Azure DevOps , including applications that have private NuGet references.

Containerization has transformed how customers build and deploy modern cloud native applications, offering unparalleled benefits in portability, scalability, and operational efficiency. Containers provide integrated dependency management and enable a standard distribution and deployment model for any workload. With Amazon Elastic Kubernetes Service (Amazon EKS), Kubernetes has emerged as a go-to solution for customers running large-scale containerized workloads that need to efficiently scale to.

Effective log management and analysis are critical for maintaining robust, secure, and high-performing systems. Amazon CloudWatch Logs Insights has long been a powerful tool for searching, filtering, and analyzing log data across multiple log groups. The addition of OpenSearch Piped Processing Language (PPL) and OpenSearch SQL language query support offers greater flexibility and familiarity in log analysis.

Database migrations require careful planning and assessment before implementation. AWS recently announced virtual target mode in AWS Database Migration Service (AWS DMS) Schema Conversion . This feature helps you start migration planning without provisioning target databases. It is especially valuable during the discovery and design phases, where early visibility into migration-level effort and readiness can help you plan more effectively.

When I first started working with Amazon Q Developer , I was impressed by its capabilities, but I quickly found myself in a familiar pattern. Development teams using AI assistants face a common challenge: repeatedly explaining coding standards, workflow preferences, and established patterns in every conversation. This repetitive setup reduces productivity and creates inconsistent AI guidance across team members. Sound familiar?

Introduction This post covers the architecture and components of a modern .NET serverless application, demonstrating implementation patterns for authentication, data storage, image processing, and API management that showcase the optimization benefits of this architecture. AWS serverless architecture provides improved scalability, cost-efficiency, and reduced operational overhead. Part 1 of this series focused on initial setup and deployment.

NTT DATA Payment Services Group of Companies is a leading payment solutions provider in Malaysia, Thailand, and the Philippines. With a vast footprint of over 500,000 payment touchpoints and 30 years of expertise, NTT DATA Payment Services empowers businesses by offering comprehensive online and offline payment solutions tailored to meet the diverse needs of SMEs and enterprises.

When managing container workloads, maintaining centralized observability of your container registry is essential for security and efficient resource utilization. Amazon Elastic Container Registry (ECR) provides metrics at both image and repository levels, which are key to building consolidated observability. This post guides you through the process of centralizing these metrics into basic but comprehensive reports that include cost breakdowns, usage metrics, security scan results, and...

As cloud adoption continues to accelerate, organizations are realizing that the journey to the cloud is just the beginning. The real challenge—and opportunity—lies in optimizing cloud usage to drive maximum business value. At AWS, we’re committed to helping our customers navigate this journey successfully. Let’s explore some key insights and best practices for cloud optimization from the recent MIT Technology Review publication, Driving business value by optimizing the cloud .

Are you looking to build practical Amazon Web Services (AWS) skills through hands-on experience? We’re excited to announce that we’re offering 10 foundational level hands-on labs for free as part of the new Introduction to AWS Cloud – AWS Builder Labs learning plan. So, get ready to jump-start your AWS Cloud journey. For cloud professionals at all levels, gaining practical experience with AWS services is crucial for success.

As organizations continue to innovate and scale their operations, security teams face a fundamental challenge: the lack of a common language for security data across diverse tools and services. This fragmentation makes it increasingly difficult to efficiently process and analyze vast amounts of security data, limiting threat detection and response capabilities.

Every day, radiologists around the world face a growing challenge: dealing with an increasing number of medical images while racing to deliver faster results. Adhering to the latest American College of Radiology (ACR) Appropriateness Criteria can be difficult, especially when patient care is on the line. At Amazon Web Services (AWS), we’ve been thinking a lot about this. What if cloud-based AI solutions could help handle the increasing workload without sacrificing accuracy?

Organizations face significant challenges when deploying large language models (LLMs) efficiently at scale. Key challenges include optimizing GPU resource utilization, managing network infrastructure, and providing efficient access to model weights.When running distributed inference workloads, organizations often encounter complexity in orchestrating model operations across multiple nodes.

This post is co-written with Hyeonho Kim, Jinhyeong Seo and Minjae Kwon from Karrot. In Part 1 of this series, we discussed how Karrot developed a new feature platform, which consists of three main components: feature serving, a stream ingestion pipeline, and a batch ingestion pipeline. We discussed their requirements, the solution architecture, and feature serving using a multi-level cache.

This post is co-written with Hyeonho Kim, Jinhyeong Seo and Minjae Kwon from Karrot. Karrot is Korea’s leading local community and a service centered on all possible connections in the neighborhood. Beyond simple flea markets, it strengthens connections between neighbors, local stores, and public institutions, and creates a warm and active neighborhood as its core value.

At AWS, we design cloud services that give customers the freedom to choose technology that best suits their needs. Our commitment to interoperability with open standards and open source technologies is a key reason customers choose AWS. This is one of the reasons why we launched Amazon DocumentDB (with MongoDB compatibility) in 2019. Amazon DocumentDB is a serverless, fully managed, MongoDB API-compatible document database service.

Today, we’re excited to announce the launch of local device emulator on Amazon Braket. This feature enables developers to emulate their verbatim circuits based on device calibration data. Local device emulation helps accelerate the development cycle by providing early feedback on circuit compatibility and expected behavior in the presence of noise. In this post, we show you how the local emulator helps catch potential issues early, by validating and testing your verbatim circuits before running.

Do you have deep AWS theoretical knowledge, perhaps through preparation for AWS Certification exams, but find it challenging to translate that knowledge into practical projects while learning? You’re not alone. Many cloud practitioners face the common challenge of making the leap from theoretical understanding and hands-on implementation ideas. What if you had an AI-powered advisor that not only suggests relevant projects tailored to your skillset and interests but also provides step-by-step...

As organizations rapidly adopt AI solutions, the demand for machine learning (ML) professionals continues to grow. According to the World Economic Forum Future of Jobs Report 2025 , demand for AI and ML specialists is expected to grow by more than 80% by 2030. To address this growing demand, Amazon Web Services (AWS) offers a comprehensive certification pathway that helps professionals build and validate their ML knowledge and skills in building, training, tuning, and deploying ML models.

Water utilities worldwide are facing challenges in managing infrastructure, reducing water waste, and making sure of reliable service delivery. The traditional approaches of manual monitoring and reactive maintenance are no longer sufficient due to increasing water demand, need for uninterrupted service, regulatory requirements, and customer satisfaction.

Welcome to August’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 July course update? Check it out here . This month, we launched nine new digital training products on AWS Skill Builder including localized versions of Exam Prep materials for AWS Certified AI Practitioner and AWS Certified Cloud Practitioner as well as a major update to AWS Jam which allows Skill Builder.

Simulating quantum systems using classical computers remains a computational challenge. In fact, the resources required for these simulations scale exponentially with the size of the system being simulated. This fact is at the core of the motivation to build a quantum computer. Quantum computers have the potential to surpass even the most powerful supercomputers when simulating quantum systems from nature.

The current state of telco operations: challenges and complexity Global telco operators today find themselves squeezed between surging network demand and stagnating revenue growth. According to PwC , global telecom service revenue rose by just 4.3% in 2023 and is projected to grow at a Compound Annual Growth Rate (CAGR) of only 2.9% through 2028—below inflation. Average revenue per user (ARPU) for mobile is expected to decline by 1.3% annually over the same period.

We’re releasing a more advanced speech-to-speech model and new API capabilities including MCP server support, image input, and SIP phone calling support.

OpenAI launches a $50M People-First AI Fund to help U.S. nonprofits scale impact with AI. Applications open Sept 8–Oct 8, 2025 for grants in education, healthcare, research, and more.

OpenAI surveyed over 1,000 people worldwide on how AI should behave and compared their views to our Model Spec. Learn how collective alignment is shaping AI defaults to better reflect diverse human values and perspectives.

OpenAI and Anthropic share findings from a first-of-its-kind joint safety evaluation, testing each other’s models for misalignment, instruction following, hallucinations, jailbreaking, and more—highlighting progress, challenges, and the value of cross-lab collaboration.

How we think about safety for users experiencing mental or emotional distress, the limits of today’s systems, and the work underway to refine them.

OpenAI announces the launch of OpenAI Learning Accelerator, an initiative that aims to bring advanced AI to India’s educators and millions of learners nationwide through accelerated AI research, training, and deployment.

Discover how a specialized AI model, GPT-4b micro, helped OpenAI and Retro Bio engineer more effective proteins for stem cell therapy and longevity research.

Discover how Blue J is transforming tax research with AI-powered tools built on GPT-4.1. By combining domain expertise with Retrieval-Augmented Generation, Blue J delivers fast, accurate, and fully-cited tax answers—trusted by professionals across the US, Canada, and the UK.

Discover how MIXI, a leader in digital entertainment and lifestyle services in Japan, uses ChatGPT Enterprise to transform productivity, boost AI adoption across teams, and create a secure environment for innovation.

Learn how DoorDash is scaling AI adoption to empower employees to build, learn, and innovate faster in a conversation with Chief People Officer Mariana Garavaglia.

We’ve just sent a letter to Gov. Gavin Newsom calling for California to lead the way in harmonizing state-based AI regulation with national—and, by virtue of US leadership, emerging global—standards.

Built with OpenAI o3, o3-Pro, GPT-4.1, and GPT-5, Basis’ AI agents help accounting firms save up to 30% of their time and expand capacity for advisory and growth.

GPT-5 is OpenAI’s most advanced model—transforming enterprise AI, automation, and workforce productivity in the new era of intelligent work.

Introducing GPT-5 in our API platform—offering high reasoning performance, new controls for devs, and best-in-class results on real coding tasks.

Learn how GPT-5 unlocks new possibilities in coding and design.

Learn how GPT-5 assists with creative writing.

Learn how GPT-5 is used for medical research.

This GPT-5 system card explains how a unified model routing system powers fast and smart responses using gpt-5-main, gpt-5-thinking, and lightweight versions like gpt-5-thinking-nano, optimized for different tasks and developer use.

We are introducing GPT‑5, our best AI system yet. GPT‑5 is a significant leap in intelligence over all our previous models, featuring state-of-the-art performance across coding, math, writing, health, visual perception, and more.

Learn how Cursor uses GPT-5.

Learn how Amgen uses GPT-5.

Discover how OpenAI's new safe-completions approach in GPT-5 improves both safety and helpfulness in AI responses—moving beyond hard refusals to nuanced, output-centric safety training for handling dual-use prompts.

See how a group of leading developers use GPT-5 for the first time.

Today, OpenAI for Government is announcing a new partnership with the U.S. General Services Administration (GSA) to launch a transformative initiative. For the next year, ChatGPT Enterprise will be available to the entire federal executive branch workforce at essentially no cost.

We introduce gpt-oss-120b and gpt-oss-20b, two open-weight reasoning models available under the Apache 2.0 license and our gpt-oss usage policy.

In this paper, we study the worst-case frontier risks of releasing gpt-oss. We introduce malicious fine-tuning (MFT), where we attempt to elicit maximum capabilities by fine-tuning gpt-oss to be as capable as possible in two domains: biology and cybersecurity.

We’re releasing gpt-oss-120b and gpt-oss-20b—two state-of-the-art open-weight language models that deliver strong real-world performance at low cost. Available under the flexible Apache 2.0 license, these models outperform similarly sized open models on reasoning tasks, demonstrate strong tool use capabilities, and are optimized for efficient deployment on consumer hardware.

AI’s next frontier isn’t just about capability—it’s about who gets to use it. Our mission to put AI in the hands of as many people as possible is what drives us. Today’s release of our most capable open-weights models is a major step forward that makes advanced AI more open, flexible, and accessible worldwide.

We build ChatGPT to help you thrive in all the ways you want. Learn how we're improving support for tough moments, have rolled out reminders to take breaks, and are working on better life advice, all guided by expert input.

Discover how Figma is transforming digital design with AI. David Kossnick shares how tools like Figma Make empower teams to prototype, collaborate, and build with AI—reshaping workflows for designers, developers, and non-technical creators alike.

By Sai Saketh Nakkina and Vikram Nunia. In our “Engineering Energizers” Q&A series, we highlight the engineering minds driving innovation across Salesforce. Today, we feature Sai Saketh Nakkina, a MLOps engineer on Salesforce’s Agentforce Knowledge Foundation team. Sai and his team led the development of a responsive security automation system that transformed vulnerability management for various AI features across the Agentforce platform.

By Gayathri Rajan and Gunesh Patil. In our “Engineering Energizers” Q&A series, we highlight the engineering minds driving innovation across Salesforce. Today, we meet Gayathri Rajan, Director of Software Engineering for the Agentforce Platform Testing team, who transformed AI quality testing for the organization. Explore how her team overcame non-deterministic response validation obstacles, solved hour-long Data Cloud synchronization barriers, and eliminated UI testing limitations with...

By Shan Appajodu , Shruti Hardas and Vivienne Wei . At Salesforce Engineering, our AI adoption has not only boosted productivity but also sparked a fundamental transformation across six key areas: hiring, knowledge flow between experience levels, innovation scaling, expertise dissemination, experiment standardization, and cultural evolution. With a 94% active adoption rate , we’re seeing the rise of AI-native practices that are redefining modern software development.

In our “Engineering Energizers” Q&A series, we highlight the engineering minds driving innovation across Salesforce. Today, we feature Pratima Nambiar, a Distinguished Architect with 17 years of experience at Salesforce. Pratima has played a crucial role in developing and scaling the service mesh architecture that facilitates secure communication among thousands of services on Salesforce’s Hyperforce platform.

By Rachna Singh, Percy Mehta, and Spencer Ho In our “Engineering Energizers” Q&A series, we highlight the engineering minds driving innovation across Salesforce. Today, we feature Rachna Singh, Senior Director of Software Engineering for Einstein Activity Capture. Rachna and her team transformed their approach to the company-wide 80% code coverage mandate by leveraging AI-powered development tools.

In our “Engineering Energizers” Q&A series, we highlight the engineering minds driving innovation across Salesforce. Today, we meet Nilesh Salpe, a key engineer developing Salesforce’s AI Metadata Service (AIMS), which provides tenant-specific configuration for AI inferences across Salesforce for AI applications like Agentforce via AI Gateway service (a centralized service to serve AI requests).

In our “Engineering Energizers” Q&A series, we highlight the engineering minds driving innovation across Salesforce. Today we feature Zak Zimmerman, Director of Software Engineering, leading the Data Cloud Performance Engineering team. Zak has transformed the way his team analyzes large-scale performance data, responds to critical incidents, and builds automation systems using AI-powered development tools.

As organizations face mounting pressure to demonstrate progress on environmental goals while navigating geopolitical shifts, procurement is stepping up. Unlike years past, today’s procurement teams have secured their seat at the executive table, supported by stronger internal alignment and more strategic supplier partnerships. Yet a curious trend has emerged: many companies are pursuing environmental, social, and governance (ESG) goals more discreetly, a phenomenon known as “green-hushing.

WalkMe survey finds 78% use unapproved AI and only 7.5% receive extensive training, elevating governance and productivity risks for enterprises. Navigate constant change by turning business transformation from a project into a core capability Learn how The AI revolution is transforming the workplace, but a new survey from WalkMe, an SAP company, reveals that employees are largely left to navigate it on their own.

Headquartered in Guadalajara in central Mexico, Sesajal S.A. de C.V. is a leading manufacturer of high-quality products derived from oilseeds, using raw materials grown in the country. Sesajal: Investing in SAP Build to connect people, process, and technology Watch the video The company produces healthy vegetable oils, oilseeds, creams, and spreads while maintaining a strong commitment to environmental sustainability.

Consolidated Hospitality Supplies (CHS) is a leading distributor of operating supplies and equipment for the hospitality industry. Comprised of two brands — American Hotel Register and myAMTEX — it currently employs around 150 people. CHS caters to a wide range of hospitality organizations, from small hotels and large resorts to fitness centers and universities.

Generations of PhD students have passed through SAP’s HANA Campus, located at company headquarters in Germany. Arne Schwarz, who runs the campus, has been there every step of the way. Arne Schwarz For more than 20 years, the HANA Campus has been home to PhD students applying research to SAP HANA and, more recently, other technologies . As demands on technologies change — the first customers for SAP HANA went live in 2010, seven years after the HANA Campus welcomed its first PhD student — so has.

Gartner has recognized SAP as a Visionary for the second consecutive year in its 2025 Magic Quadrant for Enterprise Low-Code Application Platforms (LCAP) with SAP Build, its unified low-code platform. SAP Build: Develop apps and automations 3x faster using pro-code, low-code, and AI tools Learn how In today’s market, speed is everything, but it cannot come at the cost of stability.

E.ON Digital Technology , one of Europe’s largest energy companies, operates across energy distribution networks, infrastructure solutions, and retail. As the company grew, so did the complexity of its data and operations. Legacy ERP systems, combined with decentralization and ambitious green transformation goals, could no longer keep pace. Cloud ERP: Be ready to seize opportunities and secure success with an integrated suite of solutions Learn how The solution was clear: implement a...

The business intelligence (BI) and analytics market is undergoing a significant transformation, driven by rapid advancements in generative AI and the demand for more intuitive, integrated data experiences. SAP Business Data Cloud: Amplify the value of AI with your most powerful data Learn how A trusted data foundation is critical in the age of AI. But in a global survey of 1,200 business and technology leaders , 55 percent cited poor data quality as their biggest challenge.

As a global leader in the food industry, BRF is renowned for its commitment to quality and innovation. Recently, the food giant won the SAP Innovation Award in the category Cloud ERP Champion and Industry Leader with its supply chain management solution based on SAP Integrated Business Planning ( SAP IBP ). By using AI and advanced analytics, BRF managed to improve forecast accuracy, optimized inventory, and fine-tuned planning.

This month, we marked a defining milestone not just for SAP in India, but for the company globally. With the inauguration of SAP Labs India Innovation Park , we have added a new chapter to our 27-year journey in India — a journey shaped by innovation, guided by purpose, and powered by the incredible potential of India’s talent. The SAP Labs Network exemplifies SAP’s culture of innovation throughout the world Learn why Strategically located near the Bengaluru International Airport, this is now...

Generative AI is widely celebrated as a powerhouse for improving productivity, automating workflows, and accelerating efficiency in the workplace. Create transformative impact with the most powerful AI and agents fueled by the context of all your business data Learn more However, its potential goes far beyond simple optimization: generative AI can be a trusted ally for personal growth and confidence building, especially when navigating unfamiliar professional territory.

To date, the SAP Business AI catalog on the SAP Discovery Center site ( AI catalog ) offers descriptions for more than 240 AI use cases, including Joule capabilities and Joule Agents, categorized by business area. Further, the AI catalog offers detailed business benefits and estimated business value for customers, as well as helpful resources like step-by-step product documentation and demos.

Innovation is critical — but without the right foundation, it can quickly lead to complexity and cost. SAP’s clean core strategy helps customers build and extend their SAP S/4HANA Cloud systems in a way that is stable, agile, and innovation-ready. Cloud ERP: Be ready to seize opportunities and secure your success Learn more The goal is simple: keep the core clean, standard, and upgrade-stable while still enabling business-specific differentiation where it counts.

WALLDORF — SAP SE (NYSE: SAP) today announced that Henkel AG & Co. KGaA, a leader in adhesives, sealants and consumer goods, and SAP have codeveloped a solution using SAP AI Services to streamline and enhance the returns and exchanges process. SAP Business AI: AI that drives your business Learn more The custom-built solution will enhance Henkel’s dispute management process by automating the indexing and classification of claim-related documents, setting a new industry standard for customer...

SAP partners enrich our industry-leading portfolio with unique IP built on SAP Business Technology Platform (SAP BTP), the platform that unlocks partners’ ability to innovate, extend, and integrate business applications at scale. SAP BTP: Unlock the full potential of your AI, data, and applications Learn how To further empower partners to build AI-driven innovations and unlock new possibilities for customers, we are pleased to announce free access to SAP Build test, demo, and development (TDD)..

SAP acquired Silicon Valley-based Taulia in March of 2022. Three years on, the fintech is helping customers unlock liquidity, and save big on costs as a result. Thomas Mehlkopf explains how. SAP Taulia: Enabling customers with more flexible access to liquidity Learn more The SAP Taulia portfolio offers solutions for working capital management and supply chain financing, as well as a network for buyers, suppliers, and financial institutions.

Based on a long-term relationship with SAP AppHaus Network partner Bluestonex , renowned luxury retailer the Watches of Switzerland Group moved to SAP Business Technology Platform ( SAP BTP ) in a partner-managed cloud approach to fully enable application development and digital innovation. SAP BTP: Unlock the full potential of your AI, data, and applications Learn how With the help of its trusted partner, the Watches of Switzerland Group also set up SAP Integration Suite within only two weeks,.

Vendor consolidation has emerged as the dominant priority for CIOs in 2025 , driven by mounting pressure to reduce complexity, control costs, and maximize the full potential of AI – while creating greater mechanisms for resiliency. Fuel profitable growth and turn every customer interaction into a seamless, engaging experience Learn how Research from multiple industry sources indicates that this isn’t just an emerging trend — the emphasis on consolidation is growing at an unrelenting pace.

For more than a century, SLB has been a technological pioneer in the energy sector. Plan for a sustainable, risk-resilient future with the SAP Integrated Business Planning Learn more With current operations spanning more than 100 countries, a workforce of 80,000, and $36B in revenue in 2024, SLB is a globally recognized leader with a focus on three pillars: traditional oil and gas activities; digital, where the company aims to deliver data-driven solutions at scale for the energy industry; and..

Earlier this year, SAP announced a new cloud subscription offering , SAP ERP, private edition, transition option, which is designed to help our largest and most complex customers plan and execute on their cloud transformation strategy. RISE with SAP: Tailor your transformation to modernize your business with SAP Business Suite Learn how Since these first announcements in February and March, we have received encouraging feedback from the SAP community.

WestWood Kunsttofftechnik GmbH is a rapidly growing, family-owned company specializing in liquid waterproofing systems for the construction industry. Its solutions protect everything from roofs and car parks to oil rigs, railway platforms, and bridges across 16 countries in Europe and North America. SAP S/4HANA Cloud Public Edition: out-of-the-box enterprise management Learn more With six locations and a rapidly expanding international presence, WestWood faced growing complexity in managing...

WALLDORF and SAN FRANCISCO — SAP (NYSE: SAP) and SmartRecruiters today announced that SAP has entered into an agreement to acquire SmartRecruiters, a leading talent acquisition (TA) software provider. SmartRecruiters’ deep expertise in high-volume recruiting, recruitment automation and AI-enabled candidate experience and engagement are considered an ideal addition to the SAP SuccessFactors human capital management (HCM) suite.