The Tech Radar - Issue #05 (June 2025)

Know Your Customer (KYC) processes are foundational to any Financial Services Institution's (FSI) regulatory compliance practices and risk mitigation strategies. KYC is how financial institutions verify the identity of their customers and assess associated risks. But as customers expect instant approvals, FSIs face pressure to streamline their manual, time-consuming and error-prone KYC processes.

As foundation model training infrastructure scales to tens of thousands of accelerators, efficient utilization of those high-value resources becomes paramount. In particular, as the cluster gets larger, hardware failures become more frequent (~ few hours) and recovery from previously saved checkpoints becomes slower (up to 30 minutes), significantly slowing down training progress.

Gemini 2.5 Flash and Pro are now generally available, and we’re introducing 2.5 Flash-Lite, our most cost-efficient and fastest 2.5 model yet.

The latest episode of the Google AI: Release Notes podcast focuses on how the Gemini team built one of the world’s leading AI coding models.Host Logan Kilpatrick chats w…

Search Live with voice facilitates back-and-forth conversations in AI Mode.

Learn more about AI and inference from Google experts.

Hospitals, while vital for our well-being, can be sources of stress and uncertainty. What if we could make hospitals safer and more efficient — not only for patients but also for the hard-working staff who care for them? Imagine if technology could provide an additional safeguard, predicting falls, or sensing distress before it's even visible to the human eye.

Free and open source, Gemini CLI brings Gemini directly into developers’ terminals — with unmatched access for individuals.

Financial analysts spend hours grappling with ever-increasing volumes of market and company data to extract key signals, combine diverse data sources, and produce company research. Schroders is a leading global active investment manager. Being an active manager means understanding investment opportunities — combining rigorous research, innovative thinking and deep market perspective — to help build resilience and capture returns for clients.

Here are five tips for making videos with Flow, Google’s new AI filmmaking tool.

Learn more about how startups can use Gemini models and other AI resources from Google.

A great story doesn't just tell you, it shows you. With Veo 3, we’ve leapt forward in combining video and audio generation to take storytelling to the next level. Today, we’re excited to share that Veo 3 is now available for all Google Cloud customers and partners in public preview on Vertex AI. Why this matters: Veo 3 is your partner for creating near-cinematic quality generative video, moving beyond novelty to narrative-driven creation.

We love seeing how you’re using Ask Photos in early access, like asking "suggest photos that'd make great phone backgrounds" or "what did I eat on my trip to Barcelona?"…

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. From the command line to cinematic screens, June was about making AI practical and powerful. Developers can now access Gemini right from their terminal with our new command-line interface, Gemini CLI , and creators can produce stunning, narrative-driven video that combines audio and visuals with Veo 3 .

For over two decades, Google has been a pioneer in AI, conducting groundwork that has shaped the industry. Concurrently, in the Web3 space, Google focuses on empowering the developer community by providing public goods resources like BigQuery blockchain datasets and testnet faucets, as well as the cloud infrastructure builders will need to bring their decentralized applications to life.

As organizations build new generative AI applications and AI agents to automate business workflows, security and risk management management leaders face a new set of governance challenges. The complex, often opaque nature of AI models and agents, coupled with their reliance on vast datasets and potential for autonomous action, creates an urgent need to apply better governance, risk, and compliance (GRC) controls.

Welcome to the second Cloud CISO Perspectives for June 2025. Today, Thiébaut Meyer and Bhavana Bhinder from Google Cloud’s Office of the CISO discuss our work to help defend European healthcare against cyberattacks. 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 .

In today's cloud landscape, safeguarding your cloud environment requires bolstering your Identity and Access Management (IAM) approach with more than allow policies and the principle of least privilege. To bolster your defenses, we offer a powerful tool: IAM Deny Policies . Relying only on IAM Allow policies leaves room for potential over-permissioning, and can make it challenging for security teams to consistently enforce permission-level restrictions at scale. This is where IAM Deny comes in.

We are excited to announce that Google has been named a Strong Performer in The Forrester Wave™: Security Analytics Platforms, Q2 2025 , in our first year of participation. The report acknowledges Google Cloud’s vision which relies heavily on Mandiant’s roots in threat-intelligence-driven security operations, which are evident in the platform. For us, this recognition validates our vision for the future of security operations and our commitment to delivering the platform defenders need to...

Credentials are an essential part of modern software development and deployment, granting bearers privileged access to systems, applications, and data. However, credential-related vulnerabilities remain the predominant entry point exploited by threat actors in the cloud. Stolen credentials “are now the second-highest initial infection vector, making up 16% of our investigations,” said Jurgen Kutscher, vice-president, Mandiant Consulting, in his summary of our M-Trends 2025 report .

Written by: Seemant Bisht, Chris Sistrunk, Shishir Gupta, Anthony Candarini, Glen Chason, Camille Felx Leduc Introduction — Why Securing Protection Relays Matters More Than Ever Substations are critical nexus points in the power grid, transforming high-voltage electricity to ensure its safe and efficient delivery from power plants to millions of end-users.

Written by: Gabby Roncone, Wesley Shields In cooperation with external partners, Google Threat Intelligence Group (GTIG) observed a Russia state-sponsored cyber threat actor impersonating the U.S. Department of State. From at least April through early June 2025, this actor targeted prominent academics and critics of Russia, often using extensive rapport building and tailored lures to convince the target to set up application specific passwords (ASPs).

The way we use technology at work is changing at a rapid pace. Innovation in AI is leading to new experiences and expectations for what can be done on laptops. That’s why we’re excited to unveil the next evolution of Chromebook Plus, a powerful leap forward and designed to help businesses unlock productivity, creativity, and collaboration for employees.

The latest announcements from Google for Education at ISTE 2025.

Learn more about expanded access to Google Vids for all education users, and Gemini in Classroom, a new suite of no-cost AI tools available for educators.

To help protect against evolving digital threats like ransomware and malicious deletions, last year, we introduced backup vault in the Google Cloud Backup and DR service, with support for Compute Engine VM backups. This provided immutable and indelible backup capabilities for mission-critical VMs, for both VM metadata and all their attached disks. Today, we're announcing two enhancements to backup vaults that can help you protect more types of workloads, better: Backup vaults now support...

Editor's note: This is part one of the story. After you’re finished reading, head over to part two . In 2017, John Lewis, a major UK retailer with a £2.5bn annual online turnover, was hampered by its monolithic e-commerce platform. This outdated approach led to significant cross-team dependencies, cumbersome and infrequent releases (monthly at best), and excessive manual testing, all further hindered by complex on-premises infrastructure.

June 23 - 27 Looker developers gain speed and accuracy with debut of Continuous Integration. Continuous Integration for Looker helps streamline code development workflows, boost the end-user experience, and gives developers the confidence to deploy changes faster. Learn more here . Code Interpreter brings advanced data science capabilities to Conversational Analytics. Code Interpreter helps answer complicated questions, tapping into Python to perform advanced analysis on your Looker data.

Traditional data warehouses simply can’t keep up with today’s analytics workloads. That’s because today, most data that’s generated is both unstructured and multimodal (documents, audio files, images, and videos). With the complexity of cleaning and transforming unstructured data, organizations have historically had to maintain siloed data pipelines for unstructured and structured data, and for analytics and AI/ML use cases.

With more than a thousand connected data sources available out-of-the-box and an untold number of custom tools, developers rely on Looker’s cloud-first, open-source-friendly model to create new data interpretations and experiences. Today, we are taking a page from modern software engineering principles with our launch of Continuous Integration for Looker , which will help speed up development and help developers take Looker to new places.

Under the hood, there’s a lot of technology and expertise that goes into delivering the performance you get from BigQuery, Google Cloud's data to AI platform. Separating storage and compute provides unique resource allocation flexibility and enables petabyte-scale analysis, while features like compressed storage, compute autoscaling, and flexible pricing contribute to its efficiency.

We are pleased to share that Gartner® has named Google a Leader in the 2025 Magic Quadrant™ for Analytics and Business Intelligence, for the second consecutive year. We believe this validates our strategy of delivering a comprehensive BI platform for self-service and governed environments that’s accessible to entire organizations through natural language, and backed by trusted data enabled by a semantic modeling layer.

Earlier this year, the Association for Computing Machinery's Special Interest Group on Management of Data (ACM SIGMOD) announced that Spanner, Google's globally distributed database, was awarded the 2025 SIGMOD Systems Award . The SIGMOD Systems Award specifically honors systems whose technical contributions have profoundly impacted the theory or practice of large-scale data management.

As cloud environments expand beyond traditional architectures to include multiple clouds, managing your infrastructure effectively becomes more complex. Imagine easily accessing consistent and up-to-date location information across different cloud providers, so your multi-cloud applications are designed and optimized with performance, security, and regulatory compliance in mind.

We’re excited to announce the general availability of our next-generation C4D virtual machine family . Powered by 5th Gen AMD EPYC processors (Turin) paired with Google Titanium's latest advancements, C4D provides customers with meaningful performance improvements — up to 80% higher throughput for web serving and 30% better performance for general computing workloads compared to the previous generation.

As a customer of Google Kubernetes Engine (GKE) , you've selected a container runtime with a high degree of managed operations, encompassing everything from automatic upgrades to effortless node management. This inherent efficiency allows you to focus more on your applications, and less on the underlying infrastructure. In an ideal world, this streamlined experience, coupled with GKE's robust autoscaling capabilities, ensures perfect workload scheduling all the time.

In the world of Google, networking is the invisible backbone supporting everything from traditional applications to cutting-edge AI-driven workloads. If you're a developer navigating this complex landscape, understanding the underlying network infrastructure is no longer optional—it's essential. This guide cuts through the complexity, offering short, easy-to-digest explanations of core networking terms you need to know. But we don't stop there.

In today's fast-paced digital landscape, businesses are choosing to build their networks alongside various networking and network security vendors on Google Cloud - and it's not hard to see why. Google cloud has not only partnered with the best of breed service vendors - it has built an ecosystem that allows its customers to plug in and readily use these services Cloud WAN: Global connectivity with best in class ISV ecosystem.

At Google Cloud, we’re committed to delivering the best performance possible globally for web and API content. Cloud CDN is a high-performance edge caching solution that runs at over 200 points of presence, and we continue to add more features and capabilities to it. Recently we launched invalidation with cache tags, device characterization, 0-RTT early data, and geo-targeting.

Cloud backups were once considered as little more than an insurance policy. Now, your backups should do more! They should be autonomous, cost-efficient, and analytics-ready by default. That’s why Eon built a platform purposefully aligned with Google Cloud to eliminate backup blind spots, simplify recovery, and unlock the value inside backup data without requiring teams to become policy experts or infrastructure wranglers.

Algorithms & Theory...

Data Mining & Modeling...

Algorithms & Theory...

Climate & Sustainability...

Generative AI...

Quantum

Last week’s hallmark event was the security-focused AWS re:Inforce conference . Now a tradition, the blog team wrote a re:Cap post to summarize the announcements and link to some of the top blog posts . To further summarize, several new security innovations were announced, including enhanced IAM Access Analyzer capabilities , MFA enforcement for root users , and threat intelligence integration with AWS Network Firewall .

Time series forecasting helps businesses predict future trends based on historical data patterns, whether it’s for sales projections, inventory management, or demand forecasting. Traditional approaches require extensive knowledge of statistical methods and data science methods to process raw time series data. Amazon SageMaker Canvas offers no-code solutions that simplify data wrangling, making time series forecasting accessible to all users regardless of their technical background.

This post is co-written with Sergio Zavota and Amy Perring from NewDay. NewDay has a clear and defining purpose: to help people move forward with credit. NewDay provides around 4 million customers access to credit responsibly and delivers exceptional customer experiences, powered by their in-house technology system. NewDay’s contact center handles 2.

This post is cowritten with John Gilhuly from Arize AI. With Amazon Bedrock Agents , you can build and configure autonomous agents in your application. An agent helps your end-users complete actions based on organization data and user input. Agents orchestrate interactions between foundation models (FMs), data sources, software applications, and user conversations. In addition, agents automatically call APIs to take actions and invoke knowledge bases to supplement information for these actions.

Today we are excited to introduce the Text Ranking and Question and Answer UI templates to SageMaker AI customers. The Text Ranking template enables human annotators to rank multiple responses from a large language model (LLM) based on custom criteria, such as relevance, clarity, or factual accuracy. This ranked feedback provides critical insights that help refine models through Reinforcement Learning from Human Feedback (RLHF), generating responses that better align with human preferences.

Amazon operations span the globe, touching the lives of millions of customers, employees, and vendors every day. From the vast logistics network to the cutting-edge technology infrastructure, this scale is a testament to the company’s ability to innovate and serve its customers. With this scale comes a responsibility to manage risks and address claims—whether they involve worker’s compensation, transportation incidents, or other insurance-related matters.

In this post, we demonstrate how to build a multi-agent system using multi-agent collaboration in Amazon Bedrock Agents to solve complex business questions in the biopharmaceutical industry. We show how specialized agents in research and development (R&D), legal, and finance domains can work together to provide comprehensive business insights by analyzing data from multiple sources.

The successful deorbit, descent, and landing of spacecraft on the Moon requires precise control and monitoring of vehicle dynamics. Anomaly detection provides a unique utility for identifying important states that might represent vehicle behaviors of interest. By producing unique vehicle behavior points, critical spacecraft system states can be identified to be more appropriately addressed and potentially better understood.

Generative AI is revolutionizing industries by streamlining operations and enabling innovation. While textual chat interactions with GenAI remain popular, real-world applications often depend on structured data for APIs, databases, data-driven workloads, and rich user interfaces. Structured data can also enhance conversational AI, enabling more reliable and actionable outputs.

Amazon Bedrock Guardrails provides configurable safeguards to help build trusted generative AI applications at scale. It provides organizations with integrated safety and privacy safeguards that work across multiple foundation models (FMs) , including models available in Amazon Bedrock , as well as models hosted outside Amazon Bedrock from other model providers and cloud providers.

Managing and optimizing AWS infrastructure costs is a critical challenge for organizations of all sizes. Traditional cost analysis approaches often involve the following: Complex spreadsheets – Creating and maintaining detailed cost models, which requires significant effort Multiple tools – Switching between the AWS Pricing Calculator, AWS Cost Explorer, and third-party tools Specialized knowledge – Understanding the nuances of AWS pricing across services and AWS Regions Time-consuming analysis.

Creating professional AWS architecture diagrams is a fundamental task for solutions architects, developers, and technical teams. These diagrams serve as essential communication tools for stakeholders, documentation of compliance requirements, and blueprints for implementation teams. However, traditional diagramming approaches present several challenges: Time-consuming process – Creating detailed architecture diagrams manually can take hours or even days Steep learning curve – Learning...

To effectively convey complex information, organizations increasingly rely on visual documentation through diagrams, charts, and technical illustrations. Although text documents are well-integrated into modern knowledge management systems, rich information contained in diagrams, charts, technical schematics, and visual documentation often remains inaccessible to search and AI assistants.

Every time I visit Seattle, the first thing that greets me at the airport is Mount Rainier . Did you know that the most innovative project at Amazon Web Services (AWS) is named after this mountain? Project Rainier is a new project to create what is expected to be the world’s most powerful computer for training AI models across multiple data centers in the United Stages.

Amazon SageMaker Inference has been a popular tool for deploying advanced machine learning (ML) and generative AI models at scale. As AI applications become increasingly complex, customers want to deploy multiple models in a coordinated group that collectively process inference requests for an application. In addition, with the evolution of generative AI applications, many use cases now require inference workflows—sequences of interconnected models operating in predefined logical flows.

July 2, 2025 : We’ve updated this post to include an FAQ section at the end. This includes our response to changing validity periods and associated certificate price points. AWS Certificate Manager (ACM) simplifies the provisioning, management, and deployment of public and private TLS certificates for AWS services and your on-premises and hybrid applications.

We continue to expand the scope of our assurance programs at Amazon Web Services (AWS) and are pleased to announce that 122 services are now certified as adherent to the Cloud Infrastructure Services Providers in Europe (CISPE) Data Protection Code of Conduct . This alignment with the CISPE requirements demonstrates our ongoing commitment to adhere to the heightened expectations for data protection by cloud service providers.

At re:Inforce 2025, AWS unveiled an enhanced AWS Security Hub that transforms how organizations prioritize their most critical security issues and respond at scale to protect their cloud environments. In this blog post, we discuss how you can use Security Hub to prioritize these issues with exposure findings . The enhanced Security Hub now uses advanced analytics to automatically correlate, enrich, and prioritize security signals across your cloud environment.

Amazon Cognito is a managed customer identity and access management (CIAM) service that enables seamless user sign-up and sign-in for web and mobile applications. Through user pools , Amazon Cognito provides a user directory with strong authentication features, including passkeys , federation to external identity providers (IdPs), and OAuth 2.0 flows for secure machine-to-machine (M2M) authorization .

June 23, 2025 : We updated @verifiedpermissions/authorization-clients to @verifiedpermissions/authorization-clients-js to correctly reflect the name of the package on npm . Today, Amazon Verified Permissions announced the release of @verifiedpermissions/authorization-clients-js , an open source package that developers can use to implement external fine-grained authorization for Express.js web application APIs in minutes when using Verified Permissions. Express is a minimal and flexible Node.

Today, customers use AWS Network Firewall to safeguard their workloads against common security threats. However, they often have to rely on third-party threat feeds and scanners that have limited visibility in AWS workloads to protect against active threats . A self-managed approach to cloud security through traditional threat intelligence feeds and custom rules can result in delayed responses, leaving customers exposed to active threats that are relevant to AWS workloads.

When I began my career in security, most people accepted as fact that protecting systems came at the expense of productivity. That didn’t have to be true then, and it’s definitely not true now. The cloud, and specifically the AWS Cloud, is a big reason why. But as technology evolves and systems become more complex, operating at scale demands a fresh approach to security.

Since launch, Amazon Inspector has helped customers automate vulnerability management for their running workloads on Amazon Elastic Compute Cloud (Amazon EC2) , container workloads, and AWS Lambda functions. Today, we’re taking a step forward into more proactive security with the latest addition to Amazon Inspector: code security capabilities. By using this powerful new feature you can get a proactive view of the security health of your code.

Protecting publicly facing web applications can be challenging due to the constantly evolving threat landscape. You must defend against sophisticated threats, including zero-day vulnerabilities, automated events, and changing compliance requirements. Navigating through consoles and selecting the protections best suited to your use case can be complicated, requiring not only security expertise but also a deep understanding of the applications you want to protect.

At AWS, security is the top priority, and today we’re excited to share work we’ve been doing towards our goal to make AWS the safest place to run any workload. In earlier posts on this blog, we shared details of our internal active defense systems, like MadPot (global honeypots) , Mithra (domain graph neural network) , and Sonaris (network mitigations) . We’re still inventing new ways to improve the effectiveness of threat intelligence and automated response to detect and help prevent attacks.

Are you looking to use AI to streamline administrative tasks and boost user productivity? In today’s ever-evolving digital landscape, the success of your organization’s end-user computing (EUC) strategy depends on seamless user adoption and effective utilization of services. This interactive session explores how you can leverage Amazon Bedrock’s agentic AI in combination with Amazon WorkSpaces and Amazon CloudWatch.

Customers frequently ask how to leverage AWS PrivateLink to connect to Amazon WorkSpaces Personal. PrivateLink offers a seamless way to establish secure, private connections without the need for traditional networking components such as internet gateways, NAT devices, or VPN configurations. This approach not only simplifies network architecture but also enhances security by significantly reducing the attack surface and keeping all data traffic securely within the AWS network.

Healthcare and pharmaceutical companies depend on secure, reliable, and flexible infrastructure to promote innovation and power crucial research and development work. When one global healthcare company wanted to improve the user experience for its workforce and application owners, it migrated its virtual desktop infrastructure (VDI) out of on-premises data centers to Amazon Web Services (AWS) and selected Amazon AppStream 2.

At AWS, we’re committed to providing the foundational services that power your modern workforce. Amazon WorkSpaces delivers flexible, secure, cloud-based virtual desktops that empower your teams to work from anywhere. While AWS manages the underlying infrastructure, we understand that optimizing the digital employee experience (DEX) within your WorkSpaces environment is paramount for your success.

As companies look to provide around the clock support, helpdesks must scale accordingly. Often, support demands exceed available resources. Prior blogs discuss creating a self-service portal for Amazon WorkSpaces users to manage their environments easily. Self-service portals work well for users who have clear requests. However, it is a challenge when users do not know what they need or must complete multi-step processes.

We are pleased to announce that the Amazon DCV Access Console is now available as open source. This release unlocks the capability for builders to integrate custom frameworks into the DCV Access Console components . By using the open-source DCV Access Console on GitHub , you now have the opportunity to tailor the components to meet your workload’s specific requirements.

In this blog we demonstrate how to create an offline-first application with optimistic UI using AWS Amplify , AWS AppSync , and MongoDB Atlas . Developers design offline first applications to work without requiring an active internet connection. Optimistic UI then builds on top of the offline first approach by updating the UI with expected data changes, without depending on a response from the server. This approach typically utilizes a local cache strategy.

Discover how Amazon Connect transforms traditional contact centers into AI-powered experience hubs that reduce costs, increase efficiency, and deliver personalized customer experiences at scale. In 2017, we launched Amazon Connect to solve the challenges we conquered in Amazon’s own customer service operations. Our mission: deliver simple, cost-effective technology that creates exceptional customer experiences at any scale.

File sharing has become an integral part of collaboration. However, when security protocols aren’t enforced, businesses expose themselves to the risk of data loss. Whether you’re exchanging documents with colleagues, sharing information with partners, or transferring sensitive data, unsecure file sharing can lead to unauthorized access and security incidents.

As email continues to be a critical communication channel for businesses, ensuring proper authentication and maintaining high deliverability rates are increasingly difficult challenges. This post explores how Amazon Simple Email Service (SES) and Valimail work together to provide a robust solution for email authentication and deliverability, with a focus on meeting Microsoft’s new sender requirements.

Resilience testing has emerged as a critical practice for organizations seeking to build and maintain resilient cloud applications. As environments grow more complex, more comprehensive testing methods become necessary. Resilience testing principles can be applied to Windows workloads on AWS to create controlled experiments that test system behavior under stress. These experiments can help you in several ways.

Row-level security (RLS) is a security mechanism that enhances data protection in scalable applications by controlling access at the individual row level. It enables organizations to implement fine-grained access controls based on user attributes, so users can only view and modify data they’re authorized to access. RLS is relevant across industries: in multi-tenant applications, it isolates each customer’s data; in healthcare, it supports HIPAA compliance by restricting patient data access; in..

Modern applications require reliable data distribution and high availability across multiple databases to support critical business operations. SQL Server replication helps database administrators (DBAs) meet these requirements by automatically distributing data between databases in near real-time. With SQL Server replication, you can create data copies that enable analysts to run complex reports without impacting production workloads.

In the context of database security, encryption is a critical aspect to make sure that sensitive enterprise data remains protected from unauthorized access. Encryption protects data both in transit between the database and the client or applications as well as at rest in the physical storage media and backups. Implementing encryption for data in transit and at rest is a key requirement for many compliance programs.

As you move your generative AI implementations from prototype to production, you may discover the need to run foundation models (FMs) on-premises or at the edge to address data residency, information security (InfoSec) policy, or low latency requirements. For example, customers in regulated industries, such as financial services, healthcare, and telecom, may want to leverage chatbots that support customer queries, optimize internal workflows for complex reporting, and automatically approve...

Migrating your self-managed MySQL database to Amazon Aurora MySQL-Compatible Edition can significantly enhance your database’s performance, scalability, and manageability. AWS Database Migration Service (AWS DMS) makes this migration process straightforward and efficient. Homogeneous data migrations in AWS DMS simplify the migration of self-managed, on-premises databases to their Amazon Relational Database Service (Amazon RDS) equivalents.

AWS Lambda now provides native support for Apache Avro and Protocol Buffers (Protobuf) formatted events with Apache Kafka event source mapping (ESM) when using Provisioned Mode. The support allows you to validate your schema with popular schema registries. This allows you to use and filter the more efficient binary event formats and share data using schema in a centralized and consistent way.

Fully Sharded Distributed Data Parallel (FSDP) is a machine learning (ML) training algorithm that splits a model across GPU workers. Sharding a model’s gradients, optimizer states, and parameters makes training of large models possible because it allows them to fit in multiple GPUs that otherwise do not have enough memory to process the entire model. This post presents an implementation of an FSDP fine-tuning job of dolly-v2-7b using Amazon Elastic Container Service (Amazon ECS) .

Seamlessly transferring data between cloud and edge devices is crucial for IoT applications across various industries, such as healthcare, manufacturing, autonomous vehicles, and aerospace. For example, it enables aircraft operators to seamlessly transfer software updates to aircraft fleets, eliminating the operational burden of manual updates with physical storage devices.

Modern distributed systems must be resilient to unexpected disruptions to maintain availability, performance, and stability. Chaos engineering helps teams uncover hidden weaknesses by deliberately injecting faults into a system and observing how it recovers. While traditional testing validates expected behavior, chaos engineering tests system resilience during failures.

Introduction Migrating SAP to AWS offers customers the ability to modernize their SAP landscape and take advantage of the benefits from running in the cloud. A number of these benefits are available out of the box, such as the ease to change an instance type and memory/CPU capabilities within minutes, as well as resizing disk volumes and automating all of the provisioning process to reduce human errors.

Introduction Are you ready to unlock the full potential of your SAP workloads on AWS? Let’s solve one of the most crucial pieces of the puzzle: establishing secure, reliable network connectivity between your company networks and your cloud ERP workloads. At AWS, as we’ve helped customers implement their SAP Cloud ERP Private workloads (formerly known as RISE with SAP), three questions understandably emerge: “How do we establish secure connections to our private cloud ERP environments?

AWS recently announced , in collaboration with Google Cloud and the Valkey community, the general availability of Valkey General Language Independent Driver for the Enterprise (GLIDE) 2.0 , the latest release. Valkey GLIDE is multi-language client library designed for reliability and performance. It is a multi-vendor open source project and one of the official client libraries for the Valkey project.

Generative AI solutions are transforming how businesses operate worldwide, captivating users and customers across industries with their innovative capabilities. It has now become paramount for businesses to integrate generative AI capabilities into their customer-facing services and applications. The challenge they often face is the need to use massive amounts of relational data hosted on SQL Server databases to contextualize these new generative AI solutions.

Amazon Relational Database Service (Amazon RDS) Custom for SQL Server gives you the flexibility to customize your database environment while maintaining the benefits of a managed service. You have an option to bring your own licensed SQL Server media or use SQL Server Developer Edition, all while leveraging the time savings, durability, and scalability that come with a managed database service AWS Backup supports the creation of on-demand backups of RDS Custom for SQL Server instances.

In today’s complex industrial environments, predictive maintenance remains a key challenge for Energy, Utilities, and Manufacturing sectors. Traditional anomaly detection methods are labor-intensive and time-consuming, often leaving critical equipment vulnerabilities unaddressed for hours or days—leading to significant unplanned downtime and financial impact. McKinsey estimates mid-size refineries lose $20–50 million annually due to reliability issues.

Today, we’re excited to announce Cedar Analysis, a new open source toolkit for developers that makes it easier for everyone to verify the behavior of their Cedar policies. Cedar is an open source authorization system that enables developers to implement fine-grained access controls in their applications. With ~1.17 million downloads and growing adoption, Cedar is quickly gaining traction in the developer community.

Today, the open source Cedar project announced the release of authorization-for-expressjs , an open source package that simplifies using the Cedar policy language and authorization engine to verify application permissions. This release allows developers to add policy-based authorization to their Express web framework APIs within minutes, and without any remote service calls. Express is a minimal and flexible Node.

As organizations increasingly adopt Amazon Bedrock to build and deploy large-scale AI applications, it’s important that they understand and adopt critical network access controls to protect their data and workloads. These generative AI-enabled applications might have access to sensitive or confidential information within their knowledge bases, Retrieval Augmented Generation (RAG) data sources, or models themselves, which could pose a risk if exposed to unauthorized parties.

Revenue assurance (RA) is critical in the telecom industry, traditionally monitoring financial transactions such as CDR validation, billing verification, and settlement reconciliation to make sure of accurate revenue streams. Despite these practices, telecom operators face significant operational inefficiencies, with traditional RA processes limited to sampling small portions of transactions and achieving partial recovery rates due to detection delays.

In today’s digital-first world, understanding the cloud has become an essential skill for a wide range of careers. Whether you’re stepping into the cloud for the first time, leading IT teams, or expanding your technical expertise, knowledge of the cloud is key to innovate and scale. To provide you with the most relevant, up-to-date knowledge, we’ve recently updated our AWS Cloud Practitioner Essentials course.

Today, AI is quickly becoming as essential as email or spreadsheets. Whether you’re a marketing lead looking to enhance content creation, a project manager seeking to automate workflows, or a business analyst looking to mine insights from data, AI expertise is quickly becoming a career differentiator. AI, however, can be intimidating. Where do I start? What tools should I use? And how does generative AI fit into the picture?

The second annual Nation Retail Federation Asia Pacific (NRF APAC) conference in Singapore proved to be an extraordinary gathering of retail innovation and insights. Bringing together over 10,000 attendees from 50 countries and almost 2,000 brands, this year’s event showcased the unlimited potential of retail in a region known for its diverse consumer needs, digital innovation, and dynamic retail landscape.

Defects in crystals are leading qubit candidates for quantum information networks. The ability to efficiently model defects, like nitrogen-vacancy (NV) centers, and their environment would deepen our understanding of these complex quantum systems and accelerate the use of these defects in scalable quantum networks. To study complex quantum systems like these and advance basic research to practical implementation requires both advanced tools and skilled practitioners.

European banks face a new challenge with the European Commission’s transition from the Non-Financial Reporting Directive (NFRD) to the Corporate Sustainability Reporting Directive (CSRD) regulations. This transition represents an expansion in sustainability reporting scope that will affect approximately 50,000 companies, a significant increase from the previous 11,700.

Customers use Amazon Braket to design and run quantum algorithms to explore applications of quantum computing. As the complexity of research workloads matures, it is important to have access to innovative capabilities. In this blog post, we announce an expansion of Amazon Braket’s experimental capabilities by adding support for dynamic circuits on the IQM Garnet quantum processing unit (QPU).

In Part 1 of our blog series on Open Protocols for Agent Interoperability we covered how the Model Context Protocol (MCP) can be used to facilitate inter-agent communication and the MCP specification enhancements AWS is working on to enable that. In Part 2 of this blog series we dive deep into authentication in the latest version of the MCP specification and discuss some of the contributions from AWS in this release.

The UK motor finance industry faces Complex challenges following the Financial Conduct Authority’s (FCA) review of Discretionary Commission Arrangements (DCA). Financial institutions must now analyze historical lending data, calculate accurate redress amounts, and manage customer communications effectively, all while working with fragmented data sets and tight regulatory deadlines.

Medical coding is a vital, yet intricate, process in the healthcare industry—it ensures accurate reimbursement for services rendered and is necessary for compliance with regulatory guidelines. However, traditional manual coding methods can be time-consuming, error-prone, and resource-intensive, leading to inefficiencies, bad outcomes, and potential revenue losses.

Introduction Several industries started to explore quantum computing on use cases such as: risk assessment for insurance companies, molecule behavior simulation for chemistry, and financial asset management in the finance industry. In general, physics, chemistry, cryptography, material science and optimization problems are the core application areas of quantum computing.

Today, OpenAI, in partnership with Mandala Partners, is sharing the OpenAI AI Economic Blueprint for Australia. At a time when boosting productivity has emerged as a national priority for Australia, the Blueprint provides a clear, actionable plan for how Australia can unlock the full economic and social potential of artificial intelligence.

Retell AI is transforming the call center with AI voice automation powered by GPT-4o and GPT-4.1. Its no-code platform enables businesses to launch natural, real-time voice agents that cut call costs, boost CSAT, and automate customer conversations—without scripts or hold times.

Unify, an AI-powered GTM platform, uses OpenAI’s o3, GPT-4.1, and CUA to automate prospecting, research, and outreach. With hyper-personalized messaging and an always-on workflow, Unify helps teams generate pipeline at scale while focusing on high-impact customer interactions.

We study how training on incorrect responses can cause broader misalignment in language models and identify an internal feature driving this behavior—one that can be reversed with minimal fine-tuning.

Advanced AI can transform biology and medicine—but also raises biosecurity risks. We’re proactively assessing capabilities and implementing safeguards to prevent misuse.

We’re launching OpenAI for Government, a new initiative focused on bringing our most advanced AI tools to public servants across the United States. We're supporting the U.S. government's efforts in adopting best-in-class technology and deploying these tools in service of the public good.

Worldwide, sustainability teams are being asked to do more with less. As budgets shrink and regulations shift, the demand to prove business value has never been higher. Fortunately, there are two clear opportunities for sustainability teams to do so: unlocking operational efficiencies and reducing risk for their company. During Net Zero Cloud’s User Conference on June 3-4, the need to make sustainability strategic was a major theme.

Today, as we celebrate the 15th anniversary of the Salesforce MVP program, we’re proud to recognize a new class of inspiring leaders who continue that legacy of excellence. These individuals are product experts, mentors, community leaders, and connectors. They’re the people who answer your questions late at night, create the resources you turn to, and cheer you on as you grow in your Salesforce journey. Table of contents What is a Salesforce MVP?

Having a digital storefront is a necessity for small or medium-sized businesses (SMBs) these days. Whether you’re selling products or services, online stores give you reach. ‌The days are gone when SMBs used to invest in resources to build their online stores. With technology leveling up every day, you don’t need to waste your time and money on everything. You can build your store online with templates.

Among the various types of cyber attacks, ransomware stands out as a significant threat to businesses today. Ransomware is a form of malware that threatens to publish or permanently block access to a victim’s data unless a ransom is paid. 59% of organizations were targeted by ransomware last year, and though the attack rate has slightly decreased, ‌overall recovery costs (excluding ransom payments) have surged to $2.73 million , a 50% increase from 2023.

Highly successful entrepreneurs often go to the beat of their own drum, and with good reason. With most new ventures facing significant challenges in their early years, entrepreneurs must do things differently to thrive. What might seem unusual to others becomes second nature to those building successful ventures. Certain habits consistently appear among thriving business owners who have started, grown, and sold multiple companies.

The Challenge with Flows Today Salesforce flows sit at the heart of modern CRM automation, yet authoring them still requires a unique mix of declarative drag‑and‑drop and Apex know‑how. To ease this process, Salesforce has committed to incorporating cutting-edge Generative AI technologies such as Agentforce for Flow (A4F, now generally available ). A4F uses AI to generate complete Salesforce flows from a user prompt, which can then be readily deployed on Flow Builder .

In an era where technology is advancing every day, the ability to work with and understand artificial intelligence (AI) is no longer a luxury — it’s a necessity. That’s why it’s more important than ever to become an Agentblazer — someone who has the skills and vision to transform how work gets done in the agentic AI era. And Agentblazer isn’t just a title, it’s a journey of continuous learning and engagement.

In our “Engineering Energizers” Q&A series, we highlight the engineering minds powering innovation across Salesforce. Today, we meet Geeta Shankar, a performance engineer driving the development of Code Builder — the browser-based IDE with integrated AI that enables Salesforce developers to write, test, and execute code without any local setup. Explore how Geeta’s team optimized startup latency while managing infrastructure costs, built AI-powered systems to prevent regressions, and scaled Code.

By Vivienne Wei, Geeta Shankar, and Shiva Nimmagadda. At Salesforce Engineering, AI isn’t a side project — it’s a new way of working. The team recently initiated a company-wide productivity shift by setting a new AI tooling baseline for all development teams. Rather than treating AI as optional or experimental, teams were directed to integrate AI tools into daily workflows.

In our “Engineering Energizers” Q&A series, we shine a spotlight on the brilliant engineers fueling innovation at Salesforce. Today, we feature Sreeram Garlapati, a Software Engineering Architect who spearheaded the architectural transformation of Data Cloud’s Lakehouse. This platform powers everything from Customer 360 profiles to cutting-edge AI systems.

In our “Engineering Energizers” Q&A series, we spotlight the engineering leaders transforming data management at Salesforce. Today, we feature Meghamala Ulavapalle, who leads the Unstructured Data Services (UDS) team within Data Cloud . Her team specializes in converting unstructured data into a valuable resource for AI-driven insights, personalized customer experiences, and automated decision-making.

Business travel is up in the air. The toss-up between cost-savings, employee safety, and the value of in-person interaction is an ongoing boardroom debate. In the age of virtual calls, many employees are desperate to hit the road, while others prefer to conduct their business via digital channels. Whichever side of the fence you fall on, business travel remains vital to build working relationships and drive growth.

Headquartered in Copenhagen, Denmark, Pandora designs, handcrafts, and markets high-quality jewelry at affordable prices using only recycled silver and gold materials. The company, which employs 37,000 people and had revenues last year of DKK 31.7 billion (EUR 4.2 billion), can trace its origins back to 1982 and a small family-run shop in Copenhagen.

SAP has been named a Leader in The Forrester Wave™: Master Data Management Solutions, Q2 2025, in which Forrester Research Inc., a leading global research and advisory firm, researched, analyzed, and scored 12 vendors and named SAP a Leader. The report analyzed SAP Master Data Governance and noted “it stands out for its global, industry-specific solutions, with a focus on SAP S/4HANA integration” and “SAP’s strategy of integrating applications, data, and AI shows its commitment to unifying data.

Founded in 1978 in the San Francisco Bay Area, the company originally known as Orthopaedic Systems Inc. (OSI) became part of the Japan-based Mizuho Corporation in 2002. Mizuho OSI has since grown into a market leader in surgical tables. With a focus on innovation and improving surgical outcomes, the manufacturer is known today for its advanced medical technology and specialty surgical solutions. What is true for its products also holds true for Mizuho OSI’s internal processes.

Fueled by a combination of geopolitical tension, economic instability, and significant supply chain shifts, procurement has taken on increasing importance. Procurement has evolved from a function focused primarily on cost-cutting to one that drives value creation and manages global risk. As a result, today’s organizations are forced to reevaluate how they operate, transforming procurement from a back-office function into a vital strategic partner.

How many companies do you know that use their own products? Not for beta testing, but for the tasks they are designed to carry out? This is exactly what SAP is doing, being both a developer and practitioner of its sustainability software that helps enable and empower companies to integrate sustainability into their operations. Sustainability is an essential element of SAP’s purpose to help the world run better and improve people’s lives.

The HARTING Technology Group has established itself as a pioneer in sustainability and a leading provider of connectivity solutions for industrial technologies. With the implementation of SAP Sustainability Footprint Management, part of the SAP Sustainability portfolio, HARTING has automated and scaled CO₂ emission calculations for 13,000 materials. This data-granular, verifiable, one-click solution supports the company on its path to carbon neutrality by 2030.

In close collaboration with the Partner Ecosystem Success organization and as part of the NEXT LEVEL SAP BTP & AI program , SAP AppHaus has built strong alliances with several SAP global strategic services partners (GSSPs). Since early 2024, SAP innovation experts have started to train and enable them to explore SAP Business AI with SAP AppHaus innovation methods.

In a significant move to bolster the study and research of business transformation management, SAP and Queensland University of Technology (QUT) have announced a strengthening of their partnership aimed at enhancing industry collaboration and academic excellence. This alliance is set to pave the way for innovative educational and research opportunities, with a focus on equipping students and researchers with the skills needed to navigate disruption and build business transformation as a...

At this year’s SAP for Energy and Utilities Conference (EUC) in Rotterdam, Netherlands, leading experts met to discuss current challenges and opportunities in the energy sector. Daniela Haldy-Sellmann, global VP and head of Energy & Utilities Industries at SAP, spoke about key trends and the role of new technologies and gave her take on the future of the utilities sector. Q: What do you see as the challenges and opportunities for the energy sector today?

SAP Business Suite helps drive innovation by uniting core business applications, data, and AI capabilities For businesses today, uncertainty isn’t the exception—it’s the environment in which they operate every day. From supply chain disruptions to shifting market conditions and evolving customer trends, businesses are constantly on their toes about what will happen next.

ONTRAS Gastransport GmbH is a transmission system operator overseeing 7,700 kilometers of pipelines. The company is responsible for transporting natural gas all over East Germany and prioritizes reliability for its customers. Achieve efficient and sustainable field service operations with AI-powered insights, advanced scheduling, and optimized workforce management Learn how As the company expanded, ONTRAS sought better visibility across its operations, especially those carried out by service...

In the face of growing economic volatility and rapidly evolving trade dynamics, supply chain leaders are under pressure to shift from reactive logistics models to proactive, data-driven operations. Organizations that quickly adapt to policy changes and global disruptions are better positioned to maintain resilience, while those that cling to the status quo may struggle to keep pace in a rapidly evolving marketplace.