The Tech Radar - Issue #12 (January 2026)

Today, we’re introducing an enhanced version of Veo 3.1 “Ingredients to Video.”

Over the past year, we’ve witnessed how creators globally have been using our AI models and tools to share their stories with the world. That’s why we launched the AI Fi…

Community Benchmarks on Kaggle lets the community build, share and run custom evaluations for AI models.

Google’s 2025 Our Life with AI survey found people are using AI tools to learn new things.

We’re peeling back the origin story of Nano Banana, one of Google DeepMind’s most popular models.

A look at how Sundance Institute will build a community-led ecosystem for AI education and empowerment, to support creatives.

Personal Intelligence lets you tap into your context from Gmail and Photos to deliver tailored responses in Search, just for you.

Google’s Agent Development Kit (ADK) gives you the building blocks to create powerful agentic systems. These multi-step agents can plan, loop, collaborate, and call tools dynamically to solve problems on their own. However, this flexibility also makes them unpredictable, leading to potential issues like incomplete outputs, unexpected costs, and security risks. To help you manage this complexity, Datadog LLM Observability now provides automatic instrumentation for systems built with ADK.

Today, our animated short film, “Dear Upstairs Neighbors,” previews at the Sundance Film Festival.

Bringing Gemini to billions of users requires a massive, coordinated infrastructure effort. In the latest episode of the Google AI: Release Notes podcast, host Logan Kil…

Search users around the world now have easier access to frontier AI capabilities.

We’re launching Google AI Plus in 35 new countries and territories including the US, making it available everywhere Google AI plans are available.

The latest episode of the Google AI: Release Notes podcast focuses on Genie 3, a real-time, interactive world model. Host Logan Kilpatrick chats with Diego Rivas, Shlomi…

Google AI Ultra subscribers in the U.S. can now try out Project Genie.

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. We used to have to learn the language of computers. In 2026, they’re learning ours. We kicked off the year by exploring the future of agentic commerce, where AI agents navigate the web to find and buy products for us.

Welcome to the first Cloud CISO Perspectives for January 2026. Today, Tom Curry and Anton Chuvakin, from Google Cloud’s Office of the CISO, share our new report on using Google’s Secure AI Framework with Google Cloud capabilities and services to build boldly and responsibly with AI. As with all Cloud CISO Perspectives, the contents of this newsletter are posted to the Google Cloud blog . If you’re reading this on the website and you’d like to receive the email version, you can subscribe here .

Welcome to the second Cloud CISO Perspectives for January 2026. Today, Taylor Lehmann, director of healthcare and life sciences, Office of the CISO, offers his insights after decades of experience on what CISOs should prioritize this year. 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 .

Ever since Carl Benz patented what is widely considered the first practical automobile and Henry Ford’s industrial techniques drove production scalability, consumer behavior and evolving preferences have driven improvements in performance, safety, and reliability. We are now at a phase of automotive development where continued automobile featurization — digital apps that provide the car with additional capabilities — heavily depends on cloud computing, high speed networks, and artificial...

Introduction Mandiant is tracking a significant expansion and escalation in the operations of threat clusters associated with ShinyHunters-branded extortion. As detailed in our companion report, 'Vishing for Access: Tracking the Expansion of ShinyHunters-Branded SaaS Data Theft' , these campaigns leverage evolved voice phishing (vishing) and victim-branded credential harvesting to successfully compromise single sign-on (SSO) credentials and enroll unauthorized devices into victim multi-factor...

Introduction Mandiant has identified an expansion in threat activity that uses tactics, techniques, and procedures (TTPs) consistent with prior ShinyHunters-branded extortion operations. These operations primarily leverage sophisticated voice phishing (vishing) and victim-branded credential harvesting sites to gain initial access to corporate environments by obtaining single sign-on (SSO) credentials and multi-factor authentication (MFA) codes.

Introduction This week Google and partners took action to disrupt what we believe is one of the largest residential proxy networks in the world, the IPIDEA proxy network. IPIDEA’s proxy infrastructure is a little-known component of the digital ecosystem leveraged by a wide array of bad actors. This disruption, led by Google Threat Intelligence Group (GTIG) in partnership with other teams, included three main actions: Took legal action to take down domains used to control devices and proxy...

Introduction The Google Threat Intelligence Group (GTIG) has identified widespread, active exploitation of the critical vulnerability CVE-2025-8088 in WinRAR, a popular file archiver tool for Windows, to establish initial access and deliver diverse payloads. Discovered and patched in July 2025, government-backed threat actors linked to Russia and China as well as financially motivated threat actors continue to exploit this n-day across disparate operations.

Written by: Nic Losby Introduction Mandiant is publicly releasing a comprehensive dataset of Net-NTLMv1 rainbow tables to underscore the urgency of migrating away from this outdated protocol. Despite Net-NTLMv1 being deprecated and known to be insecure for over two decades—with cryptanalysis dating back to 1999—Mandiant consultants continue to identify its use in active environments.

Written by: Amine Ismail, Anirudha Kanodia Introduction Mandiant is releasing AuraInspector, a new open-source tool designed to help defenders identify and audit access control misconfigurations within the Salesforce Aura framework . Salesforce Experience Cloud is a foundational platform for many businesses, but Mandiant Offensive Security Services (OSS) frequently identifies misconfigurations that allow unauthorized users to access sensitive data including credit card numbers, identity...

Editor's Note: Our Future Mode series will give businesses insight into how Chrome Enterprise is approaching AI in the browser. Stay tuned for more blogs in this series. For the modern enterprise, the browser has already evolved beyond a simple application and has become the primary workspace where collaboration happens, sensitive data is accessed and employees perform key tasks every day. It’s now also the place where employees are accessing a growing mix of powerful, new AI tools and services.

If you're an IT administrator, you know that managing Operating System (OS) agents (Google calls them extensions) across a large fleet of VM instances can be complex and frustrating. Indeed, this operational overhead can be a major barrier to adopting extension-based services on VM fleets, despite the fact that they unlock powerful application-level capabilities.

Tuning MySQL instances for write-intensive workloads is a persistent engineering challenge. Cloud SQL for MySQL Enterprise Plus edition now includes optimized writes , a set of automated features that adjust MySQL configurations based on real-time workload and infrastructure metrics. This reduces write latency and increases throughput without manual intervention. All Enterprise Plus edition instances have this feature enabled by default.

Connecting AI agents to your enterprise data shouldn't require complex custom integrations or weeks of development. With the release of fully managed, remote Model Context Protocol (MCP) servers for Google services last month, you can now use BigQuery MCP server to give your AI agents a direct, secure, way to analyze data. This fully managed MCP server removes management overhead, enabling you to focus on developing intelligent agents.

BigQuery provides access to a variety of LLMs for text and embedding generation, including Google's Gemini models, Google-managed models from partners like Anthropic and Mistral. Using Gemini models and Google-managed partner models in BigQuery is simple — just create the model with the foundation model name and run inference directly in SQL queries. Today, we are bringing this same simplicity and power to any model you may choose from Hugging Face or Vertex AI Model Garden.

Enterprises across the world are processing significant amounts of data. Palo Alto Networks processes thousands of firewall logs, telemetry signals and threat events every second across its product portfolio. To support this scale, Palo Alto Networks had 30,000 individual data pipelines, each with its own operational load. And while this single tenant architecture model worked originally, it had recently started to slow innovation, limit further scale, and made onboarding new analytics use...

A hallmark of a valuable database is how easy it is to query the data inside, so that developers can build tailored and complex user experiences in an application. Last week marked a significant evolution for Firestore , Google Cloud’s enterprise-grade, scalable document database, with the debut of an advanced query engine designed to help you build more sophisticated applications.

ยินดีต้อนรับสู่ Google Cloud, Thailand! (Welcome to Google Cloud, Thailand!) Thai businesses and public sector institutions share a common goal: to deliver high performance applications with low latency, while ensuring that valuable data remains securely within the country. Today, Google Cloud is addressing that challenge by launching our new cloud region in Bangkok — a key milestone in our USD $1 billion investment in Thailand’s digital infrastructure.

In a world of fragmented data stacks, you need workflow orchestration that is innovative, portable, and extensible. Cloud Composer , our fully managed data and AI/ML workflow orchestration service, relies on Apache Airflow to provide a universal control plane. And today, we’re excited to share that Cloud Composer now supports Airflow 3.1 in preview. Released in November , this update marks a significant milestone for the platform, and the first time a hyperscaler is offering Airflow 3.1.

The digital landscape is flooded with unstructured data — images, videos, audio, and documents — that often remain untapped. To help you unlock this data's potential with minimal friction, we have integrated Gemini and other Vertex AI models directly into BigQuery, simplifying how you work with generative AI and embedding models using BigQuery SQL. New launches in this area further simplify setup and expand what you can do with AI functions: Simplified permission setup by using End User...

The world of artificial intelligence is moving at lightning speed. At Google Cloud, we’re committed to providing best-in-class infrastructure to power your AI and ML workloads. Dataflow is a critical component of Google Cloud’s AI stack that lets you create batch and streaming pipelines that support a variety of analytics and AI use cases. We’re excited to share a wave of recent features and capabilities that give you more choice, greater obtainability, and improved efficiency when it comes to..

January 27, 2026: The N4A is now generally available. You can get started by deploying N4A from the Google Cloud console . Decision makers and builders today face a constant challenge: managing rising cloud costs while delivering the performance their customers demand. As applications evolve to use scale-out microservices and handle ever-growing data volumes, organizations need maximum efficiency from their underlying infrastructure to support their growing general-purpose workloads.

For over a decade now, Google has relied on Spanner, an always-on, virtually unlimited database to power global-scale applications like Gmail, YouTube, and Google Photos. Today, Spanner handles over 6 billion queries per second at peak and more than 17 exabytes of data, with five 9s of availability, plus global consistency. 2025 was a big year for Spanner on Google Cloud, too, where it powers demanding workloads for customers like Walmart , Goldman Sachs , Palo Alto Networks , Shopify , and...

We're excited to announce concurrency in Google Kubernetes Engine (GKE) node pool auto-creation, to significantly reduce provisioning latency and autoscaling performance. Internal benchmarks show up to an 85% improvement in provisioning speed, especially benefiting heterogeneous workloads, multi-tenant clusters, workloads that use multiple ComputeClass priorities, and large AI training workloads, by cutting deployment time and enhancing goodput.

Businesses want to move quickly and make informed decisions, but the explosion of data in today’s organizations often can leave knowledge teams buried and business users waiting in lengthy queues for the data insights they need. AI agents promise to fundamentally change this relationship, empowering users to move faster from data to action. Today, we are unveiling Conversational Analytics in BigQuery in preview.

January 26 - January 30 We introduced Conversational Analytics in BigQuery , which allows users to analyze data using natural language. Conversational Analytics in BigQuery is an intelligent agent that generates, executes and visualizes answers grounded in your business context directly in BigQuery Studio, making data insights for data professionals more conversational.

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Happy New Year! I hope the holidays gave you time to recharge and spend time with your loved ones. Like every year, I took a few weeks off after AWS re:Invent to rest and plan ahead. I used some of that downtime to plan the next cohort for Become a Solutions Architect (BeSA) . BeSA is a free mentoring program that I, along with a few other Amazon Web Services (AWS) employees, volunteer to host as a way to help people excel in their cloud and AI careers.

This post was co-authored with Benjamin Kleppe, Machine Learning Engineering Lead at bunq . The integration of agentic AI is transforming the banking industry, marking a significant shift from traditional customer service systems. Agentic AI demonstrates autonomous decision-making capabilities in complex financial environments, enabling banks to provide round-the-clock multilingual support, process transactions, and deliver personalized financial insights at scale.

Today, most agents operate only on what’s visible in the current interaction: they can access facts and knowledge, but they can’t remember how they solved similar problems before or why certain approaches worked or failed. This creates a significant gap in their ability to learn and improve over time. Amazon Bedrock AgentCore episodic memory addresses this limitation by capturing and surfacing experience-level knowledge for AI agents.

CLICKFORCE is one of leaders in digital advertising services in Taiwan, specializing in data-driven advertising and conversion (D4A – Data for Advertising & Action). With a mission to deliver industry-leading, trend-aligned, and innovative marketing solutions, CLICKFORCE helps brands, agencies, and media partners make smarter advertising decisions. However, as the advertising industry rapidly evolves, traditional analysis methods and generic AI outputs are no longer sufficient to provide...

PDI Technologies is a global leader in the convenience retail and petroleum wholesale industries. They help businesses around the globe increase efficiency and profitability by securely connecting their data and operations. With 40 years of experience, PDI Technologies assists customers in all aspects of their business, from understanding consumer behavior to simplifying technology ecosystems across the supply chain.

The Amazon.com Catalog is the foundation of every customer’s shopping experience—the definitive source of product information with attributes that power search, recommendations, and discovery. When a seller lists a new product, the catalog system must extract structured attributes—dimensions, materials, compatibility, and technical specifications—while generating content such as titles that match how customers search.

Agentic-AI has become essential for deploying production-ready AI applications, yet many developers struggle with the complexity of manually configuring agent infrastructure across multiple environments. Infrastructure as code (IaC) facilitates consistent, secure, and scalable infrastructure that autonomous AI systems require. It minimizes manual configuration errors through automated resource management and declarative templates, reducing deployment time from hours to minutes while...

This post is cowritten by Nikhil Mathugar, Marc Breslow and Sudhanshu Sinha from Totogi. This blog post describes how Totogi automates change request processing. Totogi is an AI company focused on helping helping telecom (telco) companies innovate, accelerate growth and adopt AI at scale. BSS Magic , Totogi’s flagship product, connects and models telco business operations, overlaying legacy systems with an AI layer.

AWS AppSync Events can help you create more secure, scalable Websocket APIs. In addition to broadcasting real-time events to millions of Websocket subscribers, it supports a crucial user experience requirement of your AI Gateway: low-latency propagation of events from your chosen generative AI models to individual users. In this post, we discuss how to use AppSync Events as the foundation of a capable, serverless, AI gateway architecture.

Organizations managing hundreds of contracts annually face significant inefficiencies, with fragmented systems and complex workflows that require teams to spend hours on contract review cycles. This solution addresses these challenges through multi-agent collaboration—specialized AI agents that can work simultaneously on different aspects of contract analysis, reducing cycle times while maintaining accuracy and oversight.

This post was co-written wit h Saurabh Gupta and Todd Colby from Pushpay. Pushpay is a market-leading digital giving and engagement platform designed to help churches and faith-based organizations drive community engagement, manage donations, and strengthen generosity fundraising processes efficiently. Pushpay’s church management system provides church administrators and ministry leaders with insight-driven reporting, donor development dashboards, and automation of financial workflows.

Enterprises are managing ever-growing volumes of content, ranging from product catalogs and support articles to knowledge bases and technical documentation. Ensuring this information remains accurate, relevant, and aligned with the latest business facts is a formidable challenge. Manual content review processes are often slow, costly, and unable to keep pace with dynamic business needs.

Building AI applications with Amazon Bedrock presents throughput challenges impacting the scalability of your applications. Global cross-Region inference in the af-south-1 AWS Region changes that. You can now invoke models from the Cape Town Region while Amazon Bedrock automatically routes requests to Regions with available capacity. Your applications get consistent response times, your users get reliable experiences, and your Amazon CloudWatch and AWS CloudTrail logs stay centralized in...

Managing ModelOps workflows can be complex and time-consuming. If you’ve struggled with setting up project templates for your data science team, you know that the previous approach using AWS Service Catalog required configuring portfolios, products, and managing complex permissions—adding significant administrative overhead before your team could start building machine learning (ML) pipelines. Amazon SageMaker AI Projects now offers an easier path: Amazon S3 based templates .

Evaluating the performance of large language models (LLMs) goes beyond statistical metrics like perplexity or bilingual evaluation understudy (BLEU) scores. For most real-world generative AI scenarios, it’s crucial to understand whether a model is producing better outputs than a baseline or an earlier iteration. This is especially important for applications such as summarization, content generation, or intelligent agents where subjective judgments and nuanced correctness play a central role.

Cyber threats are evolving faster than traditional security defense can respond; workloads with potential security issues are discovered by threat actors within 90 seconds , with exploitation attempts beginning within 3 minutes. Threat actors are quickly evolving their attack methodologies, resulting in new malware variants, exploit techniques, and evasion tactics. They also rotate their infrastructure—IP addresses, domains, and URLs.

For the third year in a row, Amazon Web Services (AWS) is named as a Leader in the Information Services Group (ISG) Provider LensTM Quadrant report for Sovereign Cloud Infrastructure Services (EU) , published on January 9, 2026. ISG is a leading global technology research, analyst, and advisory firm that serves as a trusted business partner to more than 900 clients.

Amazon Web Services (AWS) is pleased to announce that two additional AWS services and one additional AWS Region have been added to the scope of our Payment Card Industry Data Security Standard (PCI DSS) certification: Newly added services: AWS Security Incident Response AWS Transform Newly added AWS Region: Asia Pacific (Taipei) This certification allows customers to use these services while maintaining PCI DSS compliance, enabling innovation without compromising security.

Generative AI and machine learning workloads create massive amounts of data. Organizations need data governance to manage this growth and stay compliant. While data governance isn’t a new concept, recent studies highlight a concerning gap: a Gartner study of 300 IT executives revealed that only 60% of organizations have implemented a data governance strategy, with 40% still in planning stages or uncertain where to begin.

In Part 1 , we explored the foundational strategy, including data classification frameworks and tagging approaches. In this post, we examine the technical implementation approach and key architectural patterns for building a governance framework. We explore governance controls across four implementation areas, building from foundational monitoring to advanced automation.

Amazon Web Services (AWS) is pleased to announce that the Fall 2025 System and Organization Controls (SOC) 1, 2, and 3 reports are now available. The reports cover 185 services over the 12-month period from October 1, 2024–September 30, 2025, giving customers a full year of assurance. These reports demonstrate our continuous commitment to adhering to the heightened expectations of cloud service providers.

One of the most common questions about secrets management strategies on Amazon Web Services (AWS) is whether an organization should centralize its secrets. Though this question is often focused on whether secrets should be centrally stored, there are four aspects of centralizing the secrets management process that need to be considered: creation, storage, rotation, and monitoring.

Amazon Web Services (AWS) is pleased to announce the expansion of GSMA Security Accreditation Scheme for Subscription Management (SAS-SM) certification to four new AWS Regions: US West (Oregon), Europe (Frankfurt), Asia Pacific (Tokyo), and Asia Pacific (Singapore). Additionally, the AWS US East (Ohio) and Europe (Paris) Regions have been recertified. All certifications are under the GSM Association (GSMA) SAS-SM with scope Data Centre Operations and Management (DCOM) .

Amazon Web Services (AWS) is pleased to announce a successful completion of the 2025 Cloud Computing Compliance Criteria Catalogue (C5) attestation cycle with 183 services in scope. This alignment with C5 requirements demonstrates our ongoing commitment to adhere to the heightened expectations for cloud service providers. AWS customers in Germany and across Europe can run their applications in the AWS Regions that are in scope of the C5 report with the assurance that AWS aligns with C5 criteria.

Amazon Web Services (AWS) is pleased to announce the successful completion of Payment Card Industry Personal Identification Number (PCI PIN) audit for the AWS Payment Cryptography service . With AWS Payment Cryptography, your payment processing applications can use payment hardware security modules (HSMs) that are PCI PIN Transaction Security (PTS) HSM certified and fully managed by AWS, with PCI PIN-compliant key management.

Amazon Web Services (AWS) is pleased to announce the successful completion of Payment Card Industry Personal Identification Number (PCI PIN) audit for the AWS CloudHSM service . With CloudHSM, you can manage and access your keys on FIPS 140-3 Level 3 validated hardware, protected with customer-owned, single-tenant hardware security module (HSM) instances that run in your own virtual private cloud (VPC).

Amazon Web Services (AWS) recommends using AWS IAM Identity Center to provide your workforce access to AWS managed applications—such as Amazon Q Developer —and AWS accounts. Today, we announced IAM Identity Center support for IPv6. To learn more about the advantages of IPv6, visit the IPv6 product page . When you enable IAM Identity center, it provides an access portal for workforce users to access their AWS applications and accounts either by signing in to the access portal using a URL or by...

Customers need solutions to track inventory data such as files and software across Amazon Elastic Compute Cloud (Amazon EC2) instances, detect unauthorized changes, and integrate alerts into their existing security workflows. In this blog post, I walk you through a highly scalable serverless file integrity monitoring solution. It uses AWS Systems Manager Inventory to collect file metadata from Amazon EC2 instances.

December 2, 2019: Original publication date of this post. At AWS, we encourage you to use automation. Not just to deploy your workloads and configure services, but to also help you quickly detect and respond to security events within your AWS environments. In addition to increasing the speed of detection and response, automation also helps you scale your security operations as your workloads in AWS increase and scale as well.

You can use AWS Directory Service for Microsoft Active Directory as your primary Active Directory Forest for hosting your users’ identities. Your IT teams can continue using existing skills and applications while your organization benefits from the enhanced security, reliability, and scalability of AWS managed services. You can also run AWS Managed Microsoft AD as a resource forest .

We’re excited to announce a comprehensive digital enablement pathway for Amazon WorkSpaces : the AWS End User Computing Specialty Badge . Our AWS partners are integral in driving cloud innovation and delivering transformative solutions worldwide. But as End User Computing (EUC) evolves, your technical team needs the proper resources to validate and maintain expertise to effectively utilize Amazon WorkSpaces.

Amazon DCV now supports Amazon EC2 Mac instances powered by Apple silicon, giving you high‑performance remote access to macOS workloads in the cloud. With this launch , you can connect to your EC2 Mac instances using the same streaming protocol that powers remote access across Amazon WorkSpaces . Stream a Mac desktop at up to 4K resolution and 60 FPS from Windows, Linux, macOS, or a web client, and accelerate iOS, macOS, or other Apple‑platform application development in the cloud.

Introduction As one of the UK’s leading financial institutions, NatWest Group delivers a wide range of banking services across retail, commercial, and private banking sectors. The bank enhanced its customer service capabilities in 2019 by deploying Amazon Connect across its contact centers. This implementation provided NatWest with comprehensive analytics and detailed insights into customer interactions.

If you’re sending emails at scale with Amazon Simple Email Service (Amazon SES) , maintaining high deliverability depends on more than the content you send. It’s about who receives those emails. Mailbox providers like Gmail, Yahoo, and Outlook assign reputation scores based on your sending practices, domain and IP authentication records, message quality, and recipient engagement.

Managing cloud costs effectively is a critical concern for organizations of all sizes. While AWS Budgets provides powerful tools to set spending thresholds and receive notifications, these alerts traditionally arrive through email or through AWS Management Console notifications. These traditional notification methods face several challenges when managing cloud costs: Email notifications might not be seen immediately Important budget alerts can get lost in crowded inboxes Team members might not..

AWS End User Messaging makes it possible to send SMS, MMS, push notifications, WhatsApp messages, and text to voice globally. When you send SMS, MMS, and voice messages with AWS End User Messaging, you must use a specific origination identity that supports sending these messages. Messaging options vary by country and include toll-free numbers (TFN), 10-digit long codes (US 10DLC), long codes, short codes, and sender IDs.

The Telco Network Cloud (TNC) is a Red Hat reference architecture used by telecommunications operators to deploy telecommunications network functions on Red Hat OpenShift Platform . This reference architecture provides a central OpenShift cluster to manage the different OpenShift clusters that are deployed across the network for hosting the different 4G / 5G Core and RAN network functions.

Introduction Amazon Kinesis Video Streams provides powerful solutions for cloud-based video management in physical security and surveillance organizations. While organizations need continuous recording capabilities, traditional storage approaches often lead to increased costs. Kinesis Video Streams excels at real-time video management and short-term storage, serving enterprise deployments with extensive camera networks.

In today’s rapidly evolving technology landscape, organizations face mounting pressure to modernize their legacy systems while maintaining operational excellence and controlling costs. Traditional approaches to cloud modernization often require weeks of manual assessment, extensive documentation efforts, and significant development resources—creating bottlenecks that delay time-to-market and increase project costs.

This is a guest post by Mircea Bud, Alexandra Munteanu, and Daniel Urzica from Tradeshift. In 2023, Tradeshift migrated one of its core PostgreSQL databases from self-managed Amazon Elastic Compute Cloud ( Amazon EC2 ) instances to Amazon Relational Database Service (Amazon RDS) for PostgreSQL. The decision followed mounting operational risks and performance limits that made the existing setup increasingly unsustainable. The database had grown to 18TB and supported key backend services.

As organizations expand their adoption of Kubernetes for a growing number of use cases, so does the number of operational processes that are related to the provisioning and operations of the Kubernetes clusters. The process of creating a cluster, bootstrapping it with the organization-specific add-ons, and then managing it over time is complex and error-prone.

Accelerating data analysis and machine learning (ML) development requires AI tools that understand your specific data environment, not just generic code generation. General-purpose AI assistants lack context about your specific data environment, creating a gap between AI capabilities and practical implementation. Data practitioners often start by looking for relevant tables, understanding relationships, and writing exploratory code before answering their first business question.

Organizations face challenges in accessing and analyzing governed data across multiple sources through their preferred business intelligence (BI) and analytics tools while maintaining security and governance. They need a seamless way to connect their familiar tools (like Tableau, Power BI, Excel) to Amazon SageMaker ‘s data assets without compromising data governance and security protocols.

Amazon Keyspaces now supports the pre-warming feature to provide you with proactive throughput management. With pre-warming, you can set minimum warm throughput values that your table can handle instantly, avoiding the cold start delays that occur during dynamic partition splits. In this post, we discuss the Amazon Keyspaces pre-warming feature capabilities and demonstrate how it can enhance your throughput performance.

To support cloud applications that increasingly depend on rich contextual data, AWS has raised the maximum payload size from 256 KB to 1 MB for asynchronous AWS Lambda function invocations, Amazon Simple Queue Service (Amazon SQS), and Amazon EventBridge . Developers can use this enhancement to build and maintain context-rich event-driven systems and reduce the need for complex workarounds such as data chunking or external large object storage.

This post was co-written with Anthony Lempelius and James Mesney from Alation. When a team wants to reuse a dataset, whether it is to build a new pipeline, launch a dashboard, run an analysis, or power an AI application, the first challenge is rarely the code. Data engineers need to understand lineage, transformations, and operational expectations. Data analysts and BI engineers need consistent definitions, metrics, and trusted sources.

Amazon Quick Suite is a generative AI-powered business intelligence (BI) service that combines data analysis, visual, and automation tools with conversational AI to make enterprise data analytics accessible to users without deep machine learning (ML) technical knowledge. Amazon Quick Sight is a core component of Quick Suite that makes it straightforward to create and publish interactive dashboards and perform one-time (ad hoc) analysis.

Stay current with the latest serverless innovations that can transform your applications. In this 31st quarterly recap, discover the most impactful AWS serverless launches, features, and resources from Q4 2025 that you might have missed. In case you missed our last ICYMI, check out what happened in Q3 2025 . 2025 Q4 calendar Serverless at re:Invent 2025 This post covers the biggest serverless announcements from re:Invent 2025, highlighting key feature updates that can improve your applications,.

AWS Client VPN is a managed client-based VPN service that enables you to securely access your Amazon Web Services (AWS) resources and resources in your on-premises network. Amazon CloudWatch Logs Insights allows you to interactively search and analyze your log data in Amazon CloudWatch Logs . You can perform queries to help you more efficiently and effectively respond to operational issues.

Migrating and/or re-platforming can be intimidating and for good reason, there are often many complex and disparate systems with varying levels of tech debt, multiple teams, stakeholders, and business units involved. They that need to be consulted, assist with pre- and post-migration activities, and often have aggressive timelines with little flexibility in terms of downtime or maintenance windows.

With re:Invent 2025 behind us and over 60 launch announcements, here are five hidden gems that may have gone unnoticed but still have big cost impacts. While everyone was talking about the database savings plans and AI announcements, these quieter launches are already helping customers optimize their cloud spend in creative ways. 1. Amazon Athena Capacity Reservation Controls Amazon Athena now gives you granular control over Data Processing Unit (DPU) usag e for queries running on Capacity...

As organizations scale their Kubernetes deployments, Kubernetes cluster scaling has traditionally been complex and slow, requiring careful management of node groups and auto scaling configurations. Karpenter , an open source node provisioning project for Kubernetes, can help transform this approach by directly provisioning right-sized nodes based on real-time workload demands.

In this blog post, we will learn about how AUMOVIO used the services and expertise of Amazon Web Services (AWS) to develop an innovative automotive coding assistant on the domain of software-defined vehicles (SDV). AUMOVIO’s solution makes use of multiple AI models to accelerate different development lifecycle steps while helping to ensure alignment with automotive industry standards and adherence to AUMOVIO’s own coding best practices.

This post was contributed by Peter Eder, Aron Kerschbaumer, Jernej Rudi Finžgar, Raimel Medina, Martin Schuetz, Helmut Katzgraber, Sarah Braun, and Christian Mendl. Optimizing complex systems is a major challenge in science and industry. Many tasks – such as scheduling, routing, portfolio selection, or network design – can be written as combinatorial optimization problems that are simple to describe but very hard to solve, often trapping local search in difficult landscapes.

In modern manufacturing, the ability to quickly access critical information and use the expertise of experienced operators is essential for maintaining high productivity and quality, as well as minimizing costly machine downtime. However, as skilled workers retire or move on and the workforce landscape changes, manufacturers often face the challenge of preserving institutional knowledge and ensuring smooth knowledge transfer to new and junior personnel.

Financial institutions across EMEA are confronting a defining moment. Competition is intensifying while customer expectations continue to rise. Regulatory requirements, including the Digital Operational Resilience Act (DORA) and data sovereignty mandates, are more complex and costly than ever. And technology—fueled by artificial intelligence (AI) innovation—is evolving at lightning pace. Technological innovation is essential but demands careful execution.

Story overview: How can enterprises modernize 80x faster while reducing costs by 90%? The answer lies in agentic AI—a fundamental shift from traditional automation that’s helping companies like BMW, Air Canada, and CSL tackle the massive technical debt challenge facing enterprises worldwide. Dr. Asa Kalavade, who leads AWS’s next generation of migration and modernization services, breaks down the three-layer approach driving these results, the economics behind 5-80x acceleration, and the...

Welcome to January’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 December course update? Check it out here . This month, we launched multiple new digital training products on AWS Skill Builder including four new AWS Builder Labs, two new classroom courses focused on Agentic AI, and the English version of Official Practice Exam: AWS Certified CloudOps Engineer –...

Today, we’re excited to announce an update to the AWS Well-Architected Financial Services Industry Lens with comprehensive guidance for generative AI and agentic AI workloads. This version is available in the Lens Catalog of the AWS Well-Architected Tool . What’s New The updated Financial Services Industry (FSI) Lens introduces new best practices specifically designed for generative AI and agentic AI systems, spanning all six pillars of the AWS Well-Architected Framework .

As manufacturing organizations continue their digital transformation journeys, deriving maximum value from industrial data has become increasingly critical. To help manufacturers architect reliable, secure, and modern industrial data fabrics and accelerate their digital transformations, AWS introduces the new AWS Well-Architected Modern Industrial Data Lens .

This post was co-written with Hariharan Ananthakrishnan from Artera. Artificial intelligence (AI) and machine learning (ML) are transforming cancer diagnosis and treatment, enabling faster and more accurate decisions for patients. One company at the forefront of this transformation is Artera , a precision medicine company developing an AI-powered platform for cancer treatment planning. The U.S.

As organizations accelerate cloud adoption, meeting digital sovereignty requirements has become essential to build trust with customers and regulators worldwide. The challenge isn’t whether to adopt the cloud—it’s how to do so while meeting sovereignty requirements, using a multidisciplinary approach. Even though requirements vary by geography, organizations commonly address them through technical and operational controls applied consistently at scale.

Organizations operating across multiple jurisdictions need to consider the impact of regulatory changes or geopolitical events on their access to cloud infrastructure. This post explains how to design failover architectures that span AWS partitions—including the AWS European Sovereign Cloud , AWS GovCloud (US) and other AWS Regions in the global infrastructure — so workloads can continue operating when sovereignty requirements shift.

The BMW Group , headquartered in Munich, Germany, employs 159,000 people across more than 30 production and assembly facilities in 15 countries. As an automotive innovation leader, BMW Group has been working to stay at the forefront of digital transformation by using data and artificial intelligence (AI). In 2020, BMW Group launched the Cloud Data Hub (CDH) , which now operates as a Data Lakehouse – BMW Group’s central platform for managing company-wide data and data solutions in the cloud.

Introduction In 2022 we published a blog entitled “ Is your Enterprise Risk Management Framework ready for the Cloud? ” that set out how and why Enterprise Risk Management Frameworks (ERMFs) needed to change to accommodate the adoption of Cloud technology. In the intervening three years, we have observed that those customers who are making the most progress with their digital transformation have indeed thought differently about technology risk and adapted their ERMFs to reflect this.

The open-source Visual Asset Management System (VAMS) now supports GPU-accelerated reinforcement learning (RL) for robotic assets through integration with NVIDIA Isaac Lab. This pipeline enables teams to train and evaluate RL policies directly from their asset management workflow, leveraging AWS Batch for scalable GPU compute. Isaac Lab for Physical AI and Robotics Development Figure 1: Trained ANYmal simulation in NVIDIA Isaac Lab The world is moving toward an Autonomous Economy.

How OpenAI built an in-house AI data agent that uses GPT-5, Codex, and memory to reason over massive datasets and deliver reliable insights in minutes.

On February 13, 2026, alongside the previously announced retirement⁠ of GPT‑5 (Instant, Thinking, and Pro), we will retire GPT‑4o, GPT‑4.1, GPT‑4.1 mini, and OpenAI o4-mini from ChatGPT. In the API, there are no changes at this time.

Taisei Corporation uses ChatGPT Enterprise to support HR-led talent development and scale generative AI across its global construction business.

OpenAI launches the EU Economic Blueprint 2.0 with new data, partnerships, and initiatives to accelerate AI adoption, skills, and growth across Europe.

Apply for the EMEA Youth & Wellbeing Grant, a €500,000 program funding NGOs and researchers advancing youth safety and wellbeing in the age of AI.

Learn how OpenAI protects user data when AI agents open links, preventing URL-based data exfiltration and prompt injection with built-in safeguards.

PVH Corp., parent company of Calvin Klein and Tommy Hilfiger, is adopting ChatGPT Enterprise to bring AI into fashion design, supply chain, and consumer engagement.

Prism is a free LaTeX-native workspace with GPT-5.2 built in, helping researchers write, collaborate, and reason in one place.

TRUSTBANK partnered with Recursive to build Choice AI using OpenAI models, delivering personalized, conversational recommendations that simplify Furusato Nozei gift discovery. A multi-agent system helps donors navigate thousands of options and find gifts that match their preferences.

Indeed’s CRO Maggie Hulce shares how AI is transforming job search, recruiting, and talent acquisition for employers and job seekers.

A technical deep dive into the Codex agent loop, explaining how Codex CLI orchestrates models, tools, prompts, and performance using the Responses API.

An inside look at how OpenAI scaled PostgreSQL to millions of queries per second using replicas, caching, rate limiting, and workload isolation.

How Praktika uses GPT-4.1 and GPT-5.2 to build adaptive AI tutors that personalize lessons, track progress, and help learners achieve real-world language fluency...

A data-driven report on how workers across industries use ChatGPT—covering adoption trends, top tasks, departmental patterns, and the future of AI at work.

Discover how Higgsfield gives creators cinematic, social-first video output from simple inputs using OpenAI GPT-4.1, GPT-5, and Sora 2.

Edu for Countries is a new OpenAI initiative helping governments use AI to modernize education systems and build future-ready workforces.

Our latest report reveals stark differences in advanced AI adoption across countries and outlines new initiatives to help nations capture productivity gains from AI.

OpenAI and the Gates Foundation launch Horizon 1000, a $50M pilot advancing AI capabilities for healthcare in Africa. The initiative aims to reach 1,000 clinics by 2028.

Stargate Community plans detail a community-first approach to AI infrastructure, using locally tailored plans shaped by community input, energy needs, and workforce priorities.

Cisco and OpenAI redefine enterprise engineering with Codex, an AI software agent embedded in workflows to speed builds, automate defect fixes, and enable AI-native development.

ServiceNow expands access to OpenAI frontier models to power AI-driven enterprise workflows, summarization, search, and voice across the ServiceNow Platform.

ChatGPT is rolling out age prediction to estimate if accounts are under or over 18, applying safeguards for teens and refining accuracy over time.

How AI can expand human agency by closing the capability overhang—helping people, businesses, and countries unlock real productivity, growth, and opportunity.

OpenAI’s business model scales with intelligence—spanning subscriptions, API, ads, commerce, and compute—driven by deepening ChatGPT adoption.

The truth left out from Elon Musk’s recent court filing.

OpenAI plans to test advertising in the U.S. for ChatGPT’s free and Go tiers to expand affordable access to AI worldwide, while protecting privacy, trust, and answer quality.

ChatGPT Go is now available worldwide, offering expanded access to GPT-5.2 Instant, higher usage limits, and longer memory—making advanced AI more affordable globally.

OpenAI is investing in Merge Labs to support new brain computer interfaces that bridge biological and artificial intelligence to maximize human ability, agency, and experience.

OpenAI launches a new RFP to strengthen the U.S. AI supply chain by accelerating domestic manufacturing, creating jobs, and scaling AI infrastructure.

OpenAI partners with Cerebras to add 750MW of high-speed AI compute, reducing inference latency and making ChatGPT faster for real-time AI workloads.

By rolling out ChatGPT Enterprise company-wide, Zenken has boosted sales performance, cut preparation time, and increased proposal success rates. AI-supported workflows are helping a lean team deliver more personalized, effective customer engagement.

We’re publishing our Raising Concerns Policy, which protects employees’ rights to make protected disclosures.

OpenAI and SoftBank Group partner with SB Energy to develop multi-gigawatt AI data center campuses, including a 1.2 GW Texas facility supporting the Stargate initiative.

OpenAI and Datadog brand graphic with the OpenAI wordmark on the left, the Datadog logo on the right, and a central abstract brown fur-like texture panel on a white background.

How Netomi scales enterprise AI agents using GPT-4.1 and GPT-5.2—combining concurrency, governance, and multi-step reasoning for reliable production workflows.

OpenAI for Healthcare enables secure, enterprise-grade AI that supports HIPAA compliance—reducing administrative burden and supporting clinical workflows.

Tolan built a voice-first AI companion with GPT-5.1, combining low-latency responses, real-time context reconstruction, and memory-driven personalities for natural conversations.

ChatGPT Health is a dedicated experience that securely connects your health data and apps, with privacy protections and a physician-informed design.

Applications are now open for OpenAI Grove Cohort 2, a 5-week founder program designed for individuals at any stage, from pre-idea to product. Participants receive $50K in API credits, early access to AI tools, and hands-on mentorship from the OpenAI team.

It’s a big deal for our Department of War (DoW), Intelligence Community, and associated industrial base customers. Protecting sensitive information is essential to securing the Department of War (DoW) supply chain. With full enforcement of cybersecurity requirements for DoW contractors beginning in November 2025, compliance is no longer optional—it’s mission-critical now.

Utilities are in an arms race to modernize inspection operations. Autonomous drones, autonomous mobile robots, ground robots, IoT sensors — the hardware investments are massive. Companies like Skydio are providing Drone-in-a-Box technology that captures high-resolution data without a pilot on-site. But this hardware revolution has created an unintended operational crisis: the data-to-action gap. Operations teams are now flooded with thousands of images and terabytes of data every week.

Key Takeaways A mission statement defines your brand’s core purpose by unifying your small team around your values. To craft a mission statement, follow the four core components (business, customers, methods, impact) and test it for resonance. An effective mission statement is concise, clear, action-oriented, unique to your brand, and inspiring, declaring your purpose. This summary was created with AI and reviewed by an editor.

Over the past decade, sales organizations have invested heavily in data science. Many have built sophisticated machine learning models to predict which reps are most likely to hit their quota, which customers are ready to buy, which accounts are at risk, and which product opportunities are ripe for expansion. These models are valuable. They work on paper. They often perform well in testing and deliver high predictive accuracy.

In the rapidly accelerating world of Artificial Intelligence, the bridge between academic theory and industry application is more vital than ever. At Salesforce AI Research , we believe that the most transformative breakthroughs happen when we collaborate with the brightest minds in the academic community. Our academic grant program is designed not just to fund research, but to foster deep, meaningful partnerships that define the future of Trusted AI, Agentic systems, and Deep Learning.

By Shan Appajodu and Ravi Boyapati . For years, software engineering viewed code review as a bounded, human-scalable activity. Pull requests grew gradually, and reviewers relied on local context. File-by-file diffs were enough to reason about changes. This model fractured when AI-assisted coding tools altered the economics of code creation faster than review workflows could adapt. At Salesforce, internal signals made this shift impossible to ignore.

By Sanjeev Chhabria, Aditya Kamath, Derek Donaldson, and Sandeep Siroya. In our Engineering Energizers Q&A series, we highlight the engineering minds driving innovation across Salesforce. Today we spotlight Sanjeev Chhabria, Vice President of Engineering, who leads the Salesforce Edge (Trusted Perimeter Platform) team, building and operating global perimeter services that handle 1.5 trillion requests and approximately 23 petabytes of traffic monthly.

In our Engineering Energizers Q&A series, we highlight the engineering minds driving innovation across Salesforce. Today, we feature Muralidhar Krishnaprasad (MK), President and CTO, C360 Platform, Apps, Industries, and Agentforce . His organization leads the unification of Salesforce’s core platform layers — data, agent, and applications — into a single, cohesive architecture that empowers real-time, AI-driven enterprise experiences.

In our Engineering Energizers Q&A series, we highlight the engineering minds driving innovation across Salesforce. Today we meet Sahil Sobti, Lead Software Engineer on the Developer Access team, who builds and operates the access layer safeguarding Agentforce , directly managing over 11 million daily agent calls across production environments. Explore how the team defined clear protection boundaries as Agentforce expanded, designed a layered access-control plane enforcing identity,...

By Sandeep Bansal and Seetharaman Gudetee. In our Engineering Energizers Q&A series, we spotlight the engineering minds driving innovation across Salesforce. Today’s edition features Sandeep Bansal, a senior software engineer from the AI Cloud Platform Engineering team, whose internal LLM mock service validates performance, reliability, and cost efficiency at scale — supporting production-readiness benchmarks beyond 24,000 requests per minute while significantly reducing LLM model costs during..

By Karunakar Komirishetty, Bhumika Sethi, and Shiva Rama Pranav Joolaganti. In our Engineering Energizers Q&A series, we highlight the engineering minds driving innovation across Salesforce. Today, we feature Bhumika Sethi, a software engineer on Data 360’s Personalization team, delivering real-time, large-scale personalization by unifying customer profiles, engagement signals, and metadata across Salesforce, including intent-based recommendations for Agentforce .

By Paladi Sandhya Madhuri, Rakesh Chhabra, Piyush Pruthi, Sumit Sahrawat, Ankit Jain, and Basaveshwar Hiremath. In our Engineering Energizers Q&A series, we highlight the engineering minds driving innovation across Salesforce. Today’s edition features Paladi Sandhya Madhuri, a Senior Software Engineer on the Marketing Cloud Caching team, whose work involves evolving the platform’s core caching infrastructure to support high-volume, latency-sensitive workloads, including a live migration...

By Rakesh Nagaraju, Shweta Joshi, Guru Prasad, Renuka Prasad and Ashraya Raj Mathur . In our Engineering Energizers Q&A series, we highlight the engineering minds driving innovation across Salesforce. Today we meet Shweta Joshi, Software Engineering Architect for the Engagement Agent, a generative-AI powered system automating personalized sales follow-ups and outreach across large lead volumes.

WALLDORF — SAP SE announced today its financial results for the fourth quarter and fiscal year ended December 31, 2025. At a glance SAP meets revenue and exceeds non-IFRS operating profit and free cash flow outlook for FY2025 Total cloud backlog up 22% and up 30% at constant currencies Current cloud backlog up 16% and up 25% at constant currencies Cloud revenue up 23% and up 26% at constant currencies in FY2025 Cloud ERP Suite revenue up 28% and up 32% at constant currencies in FY2025 Total...

As enterprises move deeper into large-scale AI adoption, the conversation is shifting from experimentation to impact. Leaders are looking for outcomes they can trust, decisions that are consistent, and experiences that truly work for customers. In 2026, AI earns its place when it is anchored in the realities of the business, shaped by enterprise data, processes, and lived customer interactions.

SAP has been positioned as a Leader in the 2026 Gartner® Magic Quadrant™ for Source-to-Pay Suites .* We believe this recognition reflects SAP’s continued commitment to delivering a comprehensive, enterprise-grade suite powered by platform modernization, agentic AI innovation, and global scale. SAP Ariba solutions and SAP Business Network together provide the depth, breadth, and intelligence required to support procurement and finance organizations worldwide.

SAP cloud customers can benefit from implementation and operations services from SAP’s partner ecosystem, where an effective support collaboration between such partners and SAP is one essential element of customer success. Therefore, customers are encouraged to select and manage partners also based on their effectiveness in support collaboration. Usually in the cloud, SAP partners provide implementation and operations services that complement SAP cloud services.

The clear message for retailers attending National Retail Federation’s 2026 Big Show in New York last week was that they need to urgently address the challenge brought about by the rapid adoption of generative AI tools by consumers and update their back-office and data systems if they are to thrive in the agentic commerce era. Agentic AI was everywhere at NRF, emblazoned across the booths of technology exhibitors and the focus of many of the daily conference sessions.

In a sales cycle where every conversation counts, the quality of a demo can shape the direction of a deal. Buyers expect to see their world reflected back to them—their language, their metrics, their industry reality—not a one-size-fits-all scenario. Yet tailoring demos traditionally requires time, coordination, and changes that risk impacting complex landscapes. That is why SAP has introduced the demo data personalization add-on for SAP Demo Environment 2.

At NRF 2026, agentic AI was everywhere. At SAP, we’re moving beyond the hype and turning AI into real, scalable outcomes. Agentic AI represents a fundamental change in how commerce works, reshaping discovery, payments, fulfillment, and long-term customer loyalty. Our vision for agentic commerce is bold. In our latest video , we showcase a future where humans and AI agents collaborate to drive intelligent recommendations, proactive operations, efficient business processes, and deeper customer...

For decades, climate adaptation lived on the fringes of corporate strategy. It was typically addressed through insurance coverage, emergency protocols, and risk registers. These tools were helpful at the time as they helped organizations respond to disruption, but they often positioned climate considerations as something to manage episodically, rather than as part of how a business operates day-to-day and plans for growth. In 2026, that distinction is becoming increasingly blurry.

The extended workforce is now at the core of business transformation. Organizations everywhere are looking for technology partners that deliver not just scale, but also intelligence, agility, and innovation. That’s why the latest recognition from two of the industry’s most respected research firms—Ardent Partners and Staffing Industry Analysts (SIA)—means so much to us at SAP.

Artificial intelligence (AI) has moved far beyond experimentation. It is already reshaping how industries operate, how economies evolve, and how people experience work. Create transformative impact with powerful AI and agents fueled by the context of all your business data Learn how Recent McKinsey research shows that almost all organizations now use AI in some form, yet most are still at the beginning of scaling it responsibly and effectively.

I am excited to share important updates regarding the integration certification program for partner-built solutions, managed by the SAP Integration and Certification Center (SAP ICC). Find the right SAP-certified solution for your business Explore them here As SAP accelerates our strategy around applications, data, and AI, these certification enhancements will help ensure our growing ecosystem is aligned—both technically and directionally—with our clean core, cloud-forward, and AI-ready...

WALLDORF — SAP SE (NYSE: SAP) and Fresenius today announced that both companies intend to enter a strategic partnership to accelerate innovation for stronger digital healthcare delivery. Create tangible value across every part of your business with AI from SAP Learn how Together, the companies plan to create the digital backbone for a sovereign, interoperable and AI-supported healthcare system.

The Intelligent Age is marked by rapid technological progress, societal shifts and complex paradoxes. We’re more connected yet more isolated; flooded with information but uncertain of truth; empowered and threatened by technology. Create transformative impact with powerful AI and agents fueled by the context of all your business data Learn how As companies and governments face challenges around sovereignty, security and competitiveness, they need to embrace approaches that initially appear...

The recent holiday shopping season signaled a major shift in how people interact with brands, moving from traditional search toward conversational agents that do more than answer questions. These agents anticipate intent and orchestrate entire workflows: retrieving information, summarizing options, taking actions, and closing tasks. Accelerate growth and deliver winning experiences with SAP CX Learn how This isn’t just a consumer trend; it is reshaping engagement models across industries.

New research from Forrester Consulting, commissioned by SAP, has revealed that 74% of organizations plan to increase investment in transformation. But when it comes to the maturity required to execute transformation effectively, only 6% qualify as leaders. Competitive pressures, systemic risks, technological disruption, and workforce shifts are reshaping the modern business landscape constantly, meaning most organizations already run multiple transformations simultaneously.

WALLDORF — SAP SE (NYSE: SAP) and Syngenta, a global leader in agricultural innovation, today announced a multiyear strategic technology partnership to accelerate AI-assisted innovation across Syngenta’s global operations. Create transparent, resilient, sustainable food supply chains with SAP Learn how The partnership will embed artificial intelligence at the core of Syngenta’s enterprise, modernizing operations and enabling accelerated innovation through advanced data analytics across the...

We want our customers to get value from AI. So when organizations cite barriers to deriving value, such as integration complexity , regulatory compliance , AI sovereignty , or data quality , we work to alleviate them. SAP Business AI: Be more productive, faster, across every team in your business Learn how That’s why, in Q4 2025, we significantly enhanced the way customers work with AI through new models, sovereign cloud offerings, and partnerships, alongside numerous product updates.

What happens when digital transformation meets dental care? Robert “RJ” Jerome, senior vice president and chief digital officer at Heartland Dental, reveals how SAP solutions contributed to the company’s technological journey. See how Heartland Dental uses SAP cloud ERP to manage data across its dental practices Watch the video Heartland Dental is the largest dental support organization in the United States, with over 3,000 supported doctors in more than 1,900 supported practices across 39...

In a world where technology moves at lightning speed, I am fortunate to have a vantage point and a unique opportunity to see the connections business leaders make and the possibilities they create in defining moments for their industry. “ Beyond Tech – Expanding Perspectives ” is about their stories. With this series, I hope to provide a glimpse into the inspiring minds I encounter, capturing their ideas to spark insight and innovation.

Just two years ago at NRF, SAP introduced SAP Order Management Services, a cloud-native, composable, and modular order management solution designed to help unify data and processes for orders, inventory, POS transactions, and fulfillment management across all channels. Since the launch, SAP Order Management Services has empowered organizations to streamline operations for increased efficiency, reduced manual workloads, and untangled multi-channel complexity.

BITZER plays a vital role in everyday life—delivering safety, health, and comfort around the globe. Its advanced refrigeration, air conditioning, and heat pump technologies keep supermarket shelves, hotel rooms, and hospital operating theaters at the right temperatures, whatever the ambient temperature is. Its compressors are essential for storing medicines, preserving perishable goods in shipping containers, and processing frozen foods.

AI is quickly evolving from a set of powerful tools to a central component of the competitive enterprise. Specialized models, AI agents, and AI-native architecture will ensure that AI continues to embed itself into the very core of enterprise operations—with potentially powerful benefits. To navigate AI’s evolution, organizations need to understand that it’s no longer just a question of “What can AI do?” but “How do we set our organization up for success with AI? How do we build for it?

Embedded AI streamlines planning, operations, fulfillment and commerce to help retailers scale with speed, resilience and loyalty NEW YORK — SAP SE (NYSE: SAP) today announced a new generation of AI-enhanced retail innovations at NRF 2026: Retail’s Big Show. SAP at NRF 2026: Retail’s Big Show Learn more SAP continues to infuse AI into the DNA of every part of its retail solutions, reinforcing its suite-first strategy and helping retailers operate with greater intelligence, resilience and trust..

NEWTOWN SQUARE — SAP SE (NYSE: SAP) today announced the appointment of David Robinson as president of SAP North America. In this role, Robinson will oversee the company’s North America market units and lead sales operations across the broader Americas region. He will focus on driving customer success, accelerating business transformation, and helping organizations realize the full value of their SAP solutions.

For decades, BSH Hausgeräte GmbH has been a quiet force in kitchens worldwide, with brands like Bosch, Siemens, and Gaggenau in its portfolio. Now, the company is rewriting its own recipe—not for food, but for finance. In partnership with SAP, BSH is transforming its IT landscape to a cloud-first foundation, aiming to free employees from manual tasks and put insights at the center of decision-making.