The Tech Radar - Issue #15 (April 2026)

Google is introducing two new inference tiers to the Gemini API, Flex and Priority, to balance cost and latency.

For decades, expense automation relied on a simple premise: If the machine can read the text, it can do the work. But anyone who has ever tried to scan a crumpled, smudged, or sun-bleached receipt from their pocket knows that reading isn't enough. When key data is missing, such as a city name or a clear date, the machine halts and the burden falls back onto the user for manual entry.

Google is bringing people together in Washington D.C. at our AI for the Economy Forum.

The latest tools from Google can help you plan trips, find a great deal and explore your next destination.

Three new agentic safety and policy features integrated into Ads Advisor will help protect and streamline your Google Ads account.

The eighth generation of Google’s TPU includes two specialized chips that will power the future of AI.

In the early days of generative AI, building safe and reliable business tools took massive engineering effort and a high tolerance for trial and error. We helped solve that with Vertex AI , our trusted AI development platform. But today, we’re managing a different level of complexity, with agents interacting across multiple systems — and often without security and governance guardrails.

Google has been a proud part of Austria’s landscape for years, and today, we’re announcing our first data center in Kronstorf, generating 100 direct jobs. This facility …

Learn how Google’s TPUs power increasingly demanding AI workloads with this new video.

At Google Cloud, every day is Developer Day, but none so much as day 2 of Google Cloud Next, when we hold the developer keynote. This year’s topic? An in-depth look at Gemini Enterprise Agent Platform . This year’s theme? Planning a marathon for 10,000 participants through the Las Vegas Strip. OK, let’s run with it. Gemini Enterprise Agent Platform: A warm up As the evolution of Vertex AI, Agent Platform “allows you to build autonomous agents that proactively help users — and complete tasks...

Organize your home and digital space with Gemini. Use AI-powered tips for cleaning schedules, inbox decluttering, seasonal chores.

Google is bringing back its 5-Day AI Agents Intensive Course with Kaggle and registration is open.

Google’s sharing 20 fun facts to celebrate Google Translate turning 20, from its roots as a 2006 AI experiment to supporting almost 250 languages today.

At Google Cloud Next ‘26, we announced that more than 50 Google-managed Model Context Protocol (MCP) servers are generally available or in preview, with more on the way. Why it matters: To move beyond experimental prototypes, AI agents must be able to access real-world data and solve complex problems autonomously. Google-managed Managed Context Protocol (MCP) servers provide the critical connectivity to bridge AI agents with the vast Google and Google Cloud ecosystems.

The momentum is undeniable: the world’s fastest-growing AI startups are building with Google Cloud . Instead of stitching together fragmented point solutions, founders are building their businesses here because we offer the entire AI stack in a single, open environment. And, as we saw at Next ‘26 last week , we continue to advance the models, infrastructure, platforms, security, and governance that allow startups to build faster and dream bigger.

aside_block ), ('btn_text', ''), ('href', ''), ('image', None)])]> The AI era demands a new security era. Organizations are facing the dual challenge of harnessing the potential of AI while defending against its malicious use , and Google Cloud can help you adapt and thrive. The latest research from Google Cloud shows that adversaries are using AI to accelerate the speed, scale, and sophistication of attacks .

The agentic web — where autonomous AI agents reason, plan, and execute complex transactions using the open web and industry standard protocols — aims to create an autonomous customer experience. While these agents can significantly enhance online interactions, they also introduce new abuse and fraud vectors, creating unique challenges for security platforms. This rise in sophisticated automation requires a fundamental shift in risk management.

Security teams are frequently burdened with manually stitching together telemetry, alerts, and response playbooks. This fragmentation can limit visibility, increase alert fatigue, and slow down investigations. Defending the modern enterprise requires tools that work together. Today at Google Cloud Next, we are thrilled to announce a robust cohort of new partner integrations for Google Security Operations as part of the Google Cloud Security integration ecosystem .

Welcome to the first Cloud CISO Perspectives for April 2026. Today, Thiébaut Meyer and Lia Wertheimer from Google Cloud’s Office of the CISO share Thiébaut’s conversation with Matt Rowe, chief security officer, Lloyds Banking Group, on how security leaders can simultaneously pursue technical and cultural resilience. As with all Cloud CISO Perspectives, the contents of this newsletter are posted to the Google Cloud blog .

The rapid evolution of AI is redefining industries, while also exposing organizations to new risks. At Google Cloud, we believe that modern cloud defense should have AI protection built in and accessible by default, delivering native guardrails and controls that are essential to ensuring that security strengthens your AI rollouts. To support the next generation of AI innovators, we are making essential AI security and cloud security on by default with a newly enhanced Security Command Center...

Enterprises are rapidly moving AI workloads from experimentation to production on Google Kubernetes Engine (GKE), using its scalability to serve powerful inference endpoints. However, as these models handle increasingly sensitive data, they introduce unique AI-driven attack vectors — from prompt injection to sensitive data leakage — that traditional firewalls aren't designed to catch.

In today’s global economy, data is a strategic asset. For many organizations — particularly those in highly regulated industries and the public sector — the ability to innovate with AI is often balanced against the rigorous requirements of data sovereignty, residency, and operational autonomy. We are proud to announce that Google Cloud has been named a Leader in The Forrester Wave™: Sovereign Cloud Platforms, Q2 2026.

In a cloud-first world, traditional IP-based defenses are no longer enough to protect your perimeter. As services migrate to shared infrastructure and content delivery networks, relying on static IP addresses and FQDNs can create security gaps. Because single IP addresses can host multiple services, and IPs addresses can change frequently, we are introducing domain filtering with a wildcard capability in Cloud Next Generation Firewall (NGFW) Enterprise.

Written by: JP Glab, Tufail Ahmed, Josh Kelley, Muhammad Umair Introduction Google Threat Intelligence Group (GTIG) identified a multistage intrusion campaign by a newly tracked threat group, UNC6692, that leveraged persistent social engineering, a custom modular malware suite, and deft pivoting inside the victim’s environment to achieve deep network penetration.

Introduction Advances in AI model-powered exploitation have demonstrated that general-purpose AI models can excel at vulnerability discovery, even without being purpose-built for the task. Eventually, capabilities such as these will be integrated directly into the development cycle, and code will be more difficult to exploit than ever; however, this transition creates a critical window of risk.

Written by: Jamie Collier, Robin Grunewald Germany has reclaimed its position as a primary focus for cyber extortion in Europe. While data leak site (DLS) posts rose almost 50% globally in 2025, Google Threat Intelligence (GTI) data shows that the surge is hitting German infrastructure harder and faster than its regional neighbors, marking a significant return to the high-pressure levels previously observed in the country during 2022 and 2023.

Written by: Stuart Carrera Introduction Building on recent BRICKSTORM research from Google Threat Intelligence Group (GTIG), this post explores the evolving threats facing virtualized environments. These operations directly target the VMware vSphere ecosystem, specifically the vCenter Server Appliance (VCSA) and ESXi hypervisors. To help organizations stay ahead of these risks, we will focus on the essential hardening strategies and mitigating controls necessary to secure these critical assets.

For IT and security teams, the “wait and see” approach is over. The era of AI hasn't just arrived as a gradual shift—it has completely disrupted how users interact with apps, devices, and AI agents. IT teams are navigating a high-stakes reality where AI, security, and management are deeply tied together, and legacy systems simply cannot keep up. Google’s enterprise platforms and devices are paving the way for this new approach to work.

New AI capabilities are coming to Google Vids, powered by Lyria 3 and Veo 3.1, like high-quality video generation at no cost and more.

Here are Google’s latest AI updates from March 2026...

As AI workloads transition from experimental prototypes to production-grade services, the infrastructure supporting them faces a growing utilization gap. Enterprises today typically face a binary choice: build for high-concurrency, low-latency real-time requests, or optimize for high-throughput, "async" processing. In Kubernetes environments, these requirements are traditionally handled by separate, siloed GPU and TPU accelerator clusters.

With Cloud Next '26 rapidly approaching, we couldn't be more excited to showcase how Google Cloud empowers organizations to scale smarter, faster, and more efficiently. Be sure to anchor your experience by attending the Infrastructure spotlight by Mark Lohmeyer , VP & GM of AI and Computing Infrastructure, where he will detail the future of our AI and compute ecosystem.

In today's agentic AI environments, the network has a new set of responsibilities. In a traditional application stack, the network mainly moves requests between services. But as discussed in a recent white paper, Cloud Infrastructure in the Agent-Native Era , in an agentic system the network sits in the middle of model calls, tool invocations, agent-to-agent interactions, and policy decisions that can shape what an agent is allowed to do.

Editor’s note: In this post, we share joint insights from Raj Gulani, Director of Product Management for Network Experiences, and Dan Rayburn, Industry analyst with 30-plus years of experience covering streaming media. In our combined experience observing and building within the media industry, one truth remains constant: the landscape is always evolving.

This week at Google Cloud Next ‘26, we are sharing the evolution of Google Kubernetes Engine (GKE), delivering leading performance, efficiency, security, and scale for your most demanding and complex workloads, and the next generation of AI and agentic applications. Why it matters: Kubernetes has rapidly become the operating system for the AI era, with GKE now powering AI workloads for all of our top 50 customers on the platform, including the largest frontier model builders.

The AI era requires a fundamental rethink of physical cloud architecture — networking, in particular. With foundational model parameters growing exponentially, traditional general-purpose networks are reaching their breaking points. To fuel the next decade of machine learning, Google designed Virgo Network, a new megascale AI data center fabric that embraces a "campus-as-a-computer" philosophy, and that underpins our AI Hypercomputer .

Today at Google Cloud Next, we are unveiling a more proactive Gemini Cloud Assist, our AI-assisted cloud operations platform. This update shifts your Google Cloud operations from manual workflows to a proactive, intelligent experience supported by a powerful ecosystem of agents. Why it matters: A new agentic architecture enables Gemini Cloud Assist to handle the heavy lifting of your cloud management.

Today at Google Cloud Next , we’re announcing new capabilities in Google Distributed Cloud (GDC) that bring Gemini and our advanced AI stack to wherever your data is, so you don’t need to compromise between AI innovation and sovereignty. This will serve as a catalyst for a sovereign neocloud architecture. GDC brings Google Cloud to wherever you need it — in your own data center or at the edge.

The future is taking shape in Las Vegas this week, where the world’s leading startups are showcasing their groundbreaking AI work at Google Cloud Next. Whether they need the top AI models, infrastructure purpose-built for the most demanding workloads, intelligent multi-model databases, or security and sovereignty solutions to grow with confidence — or all of the above — startups of all sizes and in every industry are choosing Google Cloud.

While generative AI sparked a revolution, the true paradigm shift is the rapid evolution from standalone AI models to multi-agent autonomous systems. In this new era, the network transcends basic connectivity to become the critical integration layer for your agentic enterprise. As AI agents and services surge, your core applications remain as vital as ever.

We are now seeing the Agentic Enterprise become reality for customers, and this week at Next ‘26 we are announcing exciting, new innovations to help customers accelerate agentic AI even further. Our partners play a critical role in enabling the Agentic Enterprise, and today we are also announcing new resources, technologies, and deep technical partnerships to ensure we offer customers the industry’s most capable partner ecosystem for the agentic era, including: A $750 million partner fund for...

At Google Cloud Next, we are announcing innovations across every layer of our storage stacks — performance, intelligence, and management — to ensure your data is as fast and as useful as the AI models, apps and agents you are building. Why it matters: Storage is no longer just a place to keep data. When training AI models, storage is the engine that feeds data-hungry accelerators.

April 20 - April 24 Google-built ODBC Driver for BigQuery is now available in Preview We are excited to announce the launch of the new, Google-built ODBC driver for BigQuery. This new open-source driver provides a direct, high-performance connection for applications to BigQuery and is developed entirely in-house by Google. Download a new driver and connect your application to BigQuery .

Last year we introduced new geospatial analytics capabilities integrated for BigQuery. Building on this, we announced an expanded suite of tools at Google Cloud Next ‘26, designed to help your business unlock deeper insights and make smarter, data-driven decisions. These Google Maps Platform models and datasets, leveraging innovation from Google Earth AI , are integrated with BigQuery and Gemini Enterprise Agent Platform.

At UKG, we’ve spent years building and expanding our human capital management (HCM) and workforce management (WFM) solutions with new products, capabilities, and a series of acquisitions. Our cloud platform includes a suite of connected systems that support every corner of the employee experience, including scheduling and workforce operations, HR and payroll, and culture and engagement tools.

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At Google, we are committed to being transparent about the environmental impact of our AI infrastructure , publishing metrics on the lifetime emissions of our chips — from manufacturing to powering these chips in the data center. Today, we are updating these metrics for our seventh-generation TPU, Ironwood, which demonstrates an approximately 3.7x improvement in Compute Carbon Intensity (CCI) compared to TPU v5p , the previous generation of performance-optimized TPUs .

Small businesses are the backbone of the global economy. With 400 million SMBs worldwide and 36 million in the U.S. alone, they provide 50% of global employment. Now, with Google Cloud AI, they’re scaling faster, operating more efficiently, and delivering better results for their customers. For years SMBs have been working with cutting edge products like Google Workspace, Google Ads, Search, YouTube, Maps, Google Wallet, and more to grow their business.

Our new GEAR program , powered by Google Skills , equips every professional with the hands-on AI training needed to build and launch enterprise-ready agents at scale. Anyone can join GEAR for access to AI training and more, including: 35 monthly learning credits to use towards courses and hands-on labs in Google Skills Discord community access to connect with peers Curated agentic news and resources from Google Google Cloud customers can join the Get Certified program to prepare for Google...

Today at the What’s Next with AWS , Matt Garman, CEO of AWS, Colleen Aubrey, SVP Amazon Applied AI Solutions, Julia White, CMO of AWS, and OpenAI leaders discussed how they and their customers are changing how businesses operate with agents. Here’s our roundup of the biggest announcements from the event: Amazon Quick is an AI assistant for work that connects to all of them, learns what matters to you, and takes action on your behalf.

Late March took me to Seattle for the Specialist Tech Conference, one of the most energizing gatherings of AWS specialists from around the world. It was an incredible opportunity to connect with peers, exchange experiences, and go deep on the latest advancements in Generative AI and Amazon Bedrock — and a powerful reminder of something I truly believe in: when specialists come together to challenge each other, explore edge cases, and co-create solutions, the impact goes far beyond the meeting...

Last week I had the honor of delivering a commencement speech at the University of Namur (uNamur) for their 2025 graduation ceremony. Standing in front of freshly minted computer science graduates, I talked about the future of software development in the age of AI. My message to them was simple: AI will not make you obsolete. We’ve seen tools evolve over the decades, from punch cards to IDEs to AI-assisted coding, but the work remains yours, not the tool’s.

Today, we’re announcing Claude Opus 4.7 in Amazon Bedrock , Anthropic’s most intelligent Opus model for advancing performance across coding, long-running agents, and professional work. Claude Opus 4.7 is powered by Amazon Bedrock’s next generation inference engine, delivering enterprise-grade infrastructure for production workloads. Bedrock’s new inference engine has brand-new scheduling and scaling logic which dynamically allocates capacity to requests, improving availability particularly for..

In my last Week in Review post , I mentioned how much time I’ve been spending on AI-Driven Development Lifecycle (AI-DLC) workshops with customers this year. A common theme in those sessions is the need for better cost visibility. Teams are moving fast with AI, but as they go from experimenting to full production, finance and leadership really need to know who is using which resources and at what cost.

Last week, I visited AWS Hong Kong User Group with my team. Hong Kong has a small but strong community, and their energy and passion are high. They recently started a new AI user group, and we hope more people will join. I was able to strengthen my bond with the community through great food and conversation. This week, I’ll first take a closer look at some of the key launches.

Today, we’re announcing the general availability of cross-account safeguards in Amazon Bedrock Guardrails , a new capability that enables centralized enforcement and management of safety controls across multiple AWS accounts within an organization. With this new capability, you can specify a guardrail in a new Amazon Bedrock policy within the management account of your organization that automatically enforces configured safeguards across all member entities for every model invocation with...

Generative AI brings promising innovation, transforming how individuals and organizations approach everything from customer service to content creation and more. As AI continues to expand its capabilities, organizations are increasingly focused on how they can integrate the responsible AI concepts into the development lifecycle of their AI applications.

The AWS Customer Incident Response Team (AWS CIRT) regularly encounters patterns that repeat across their engagements when helping customers respond to security incidents. We’re passionate about making sure that information is widely accessible so that everyone can improve their security posture and their organization’s resilience to disruption. The primary method we use to share this information is the Threat Technique Catalog for AWS (TTC) .

As organizations expand their Amazon Web Services (AWS) footprint, managing secure, scalable, and cost-efficient access across multiple accounts becomes increasingly important. AWS IAM Identity Center offers a centralized, unified solution for managing workforce access to AWS accounts. It simplifies authentication, enhances security, and provides a seamless user sign-in experience to AWS services across diverse environments.

April 27, 2026 : This post was first published in September 2025 when the enhanced AWS Security Hub was in public preview. It has since been updated to reflect the general availability of Security Hub. This revision also provides a more detailed, step-by-step framework for planning your POC. AWS Security Hub prioritizes your critical security issues and helps you respond at scale to protect your environment.

Understanding what AWS Identity and Access Management (IAM) policies can control helps you build better security controls and avoid spending time on approaches that won’t work. You’ve likely encountered questions like: Can I use AWS Organizations service control policies (SCPs) to prevent the creation of security groups that allow traffic from 0.0.0.0/0 ? Can I block uploads unless objects are encrypted? Can I prevent functions with more than 512 MB of memory allocated?

As outlined in the AWS post-quantum cryptography (PQC) migration plan , addressing the risk of harvest now, decrypt later (HNDL) attack is an important part of your post-quantum plan. Upgrading the client-side of your workloads to support quantum-resistant confidentiality is an important aspect of your side of the PQC shared responsibility model . Timelines to plan and execute your PQC upgrades vary by region and by industry and will depend on your own business risk profile.

Building on our recent announcement of AWS Security Hub Extended —our full-stack enterprise security offering — we want to show you how we’re simplifying security procurement and operations for your multicloud environments. Whether you’re a security architect evaluating solutions or a CISO looking to streamline vendor management, this post walks through the streamlined experience that transforms how you acquire, deploy, and manage end-to-end enterprise security solutions across endpoint,...

Amazon Web Services (AWS) is pleased to announce that the Winter 2025 System and Organization Controls (SOC) 1 report is now available. The report covers 184 services over the 12-month period from January 1, 2025 – December 31, 2025, giving customers a full year of assurance. This report demonstrates our continuous commitment to adhering to the heightened expectations of cloud service providers.

Important: As of January 1, 2025, Client SDK 3 tools (CMU and KMU) are no longer supported. This guide has been updated to use Client SDK 5 commands exclusively. Ensure you’re using the latest Client SDK 5 version (5.17 or later) for the most recent features and security improvements. You can use AWS CloudHSM to generate, store, import, export, and manage your cryptographic keys.

Security logs capture essential security-related activities, such as user sign-ins, file access, network traffic, and application usage. These logs are important for monitoring, detecting, and responding to potential security events. The Open Cybersecurity Schema Framework (OCSF) addresses this challenge by providing a standardized format to represent security events, ensuring consistent and efficient data handling across various systems.

AI agents and coding assistants interact with AWS resources through the Model Context Protocol (MCP) . Unlike traditional applications with deterministic code paths, agents reason dynamically, choosing different tools or accessing different data depending on context. You must assume an agent can do anything within its granted entitlements , whether OAuth scopes, API keys, or AWS Identity and Access Management (IAM) permissions, and design your controls accordingly.

When customers experience a security incident, they need to acquire forensic artifacts to identify root cause, extract indicators of compromise (IoCs), and validate remediation efforts. NIST 800-86 , Guide to Integrating Forensic Techniques into Incident Response, defines digital forensics as a process comprised of four basic phases: collection, examination, analysis, and reporting.

This quarter we delivered updates to Amazon WorkSpaces across graphics performance and visual quality, productivity tools, and operational visibility. We also launched a new training program to let you build expertise with Amazon WorkSpaces. Here’s what you might have missed. Graphics Performance & Visual Quality Graphics G6, Gr6, and G6f Bundles What it does: GPU-accelerated virtual desktops for graphics-intensive workloads on Amazon WorkSpaces Personal and Core bundles Why it matters:...

When end users reports that their Amazon WorkSpace is slow or unable to connect, what happens next? Administrators work through various diagnostic tools, analyzing Amazon CloudWatch metrics, reviewing logs, and correlating signals across multiple sources to identify the root cause. While manageable at small scale, this approach does not scale across hundreds or thousands of WorkSpaces leading to increased time to resolution and frequent escalation to AWS support.

New no-code capabilities enable business teams to rapidly deliver sophisticated AI-powered customer experiences without engineering bottlenecks, combining the flexibility of agentic AI with the reliability enterprises demand. NLX ( nlx.ai ) is joining Amazon Connect, accelerating the value customers get from Connect’s agentic AI solution. NLX brings sophisticated conversational AI capabilities, and through this acquisition, you can now deploy AI-powered customer experiences in Connect in weeks..

1. Introduction 1.1. What are adherence thresholds and why do they matter Schedule adherence is a Workforce Management (WFM) metric that measures how closely agents follow their assigned work schedules. Every contact center, however, operates with a degree of expected operational variance — agents finishing calls before transitioning to breaks, or handoffs running slightly long.

SMS remains a reliable workhorse for business-to-consumer reach, but it isn’t without its hurdles. Messages from unrecognized numbers are frequently ignored or flagged as spam, and the limitations of plain text can’t provide the interactive experiences modern customers expect. Rich Communication Services (RCS) on AWS End User Messaging addresses these challenges as the next generation of mobile messaging.

AWS DevOps Agent is your always-available operations teammate that resolves and proactively prevents incidents, optimizes application reliability and performance, and handles on-demand SRE tasks across AWS, multicloud, and on-premises environments. It integrates with your existing observability tools to correlate telemetry, code, and deployment data to reduce Mean Time To Repair (MTTR) and drive operational excellence.

As cloud adoption accelerates, organizations operating in regulated environments face unique challenges implementing Kubernetes-based solutions. Financial services institutions (FSIs), healthcare providers, and other entities subject to stringent compliance requirements must navigate the intersection of cloud-native technologies and regulatory obligations.

In our previous post Building a GraphQL API with AWS AppSync Using Direct Lambda Resolvers in .NET , we demonstrated how to build a serverless GraphQL API using AWS AppSync with Direct Lambda Resolvers. By eliminating Velocity Template Language (VTL) and JavaScript mapping templates, we simplified resolver development and enabled .NET developers to implement all backend logic directly inside AWS Lambda functions using familiar tools and patterns.

The latest Amazon Q cost capabilities are transforming how FinOps teams navigate cloud spend. By the time a FinOps team flags an expensive configuration, it may already be running in production. The fix can be more disruptive to deploy, the discussions can be more challenging, and the savings are often smaller than they could have been. Amazon Q is accelerating your ability to get answers and make decisions.

Estimated time to complete: 90–120 minutes Level: Advanced (400) Microsoft ended extended support for Visual Basic 6.0 (VB6) in 2008, yet thousands of mission-critical applications across financial services, insurance, healthcare, and manufacturing still depend on it. These applications contain decades of business logic, but maintaining them becomes more difficult each year.

Providing a copy of production data to developers, testers, or disaster recovery (DR) teams quickly is a common operational challenge our customers face. Whether it’s a daily database refresh for a support environment, a one-time troubleshooting session that requires real-world data, or a disaster recovery drill that needs to run against a current replica, the underlying requirement is the same: create a usable copy of an existing volume and do it fast.

Securely connecting on-premises data systems to Amazon Redshift requires removing static credentials while preserving seamless access for your data teams. This solution extends connectivity from your on-premises data centers to Amazon Redshift by using short-lived, auditable credentials. All traffic remains within trusted, private channels. Developers and data engineers need a process to run ingestion pipelines, Extract, Transform, Load (ETL) jobs, and analytics queries without managing static..

If you manage Amazon Relational Database Service (Amazon RDS) for SQL Server instances, you’ve likely accumulated a collection of diagnostic scripts over the years. These scripts query for blocking sessions, identify slow-running procedures, monitor disk space, and analyze index usage. They represent expertise you’ve developed through years of troubleshooting database issues, often during critical late-night incidents.

This technical deep dive into Amazon Timestream for InfluxDB 3 explores the architectural decisions, features, and capabilities that make this release a significant evolution in time series database technology. This next-generation time series database represents an architectural redesign from the previous engine version; built from the ground up with modern technologies including Rust for core performance, Apache Arrow for columnar data processing, Apache Parquet for efficient storage, and...

Selecting the right instance size for your Amazon Timestream for InfluxDB 3 deployment is one of the most impactful decisions you’ll make when architecting your time series infrastructure. An undersized instance can lead to degraded query performance and ingestion bottlenecks, while an oversized instance means paying for unused capacity. In this blog post we will walk you through on how to choose the sizing for your deployment.

Overview Checking the health of a production SAP HANA database on AWS today requires 10+ API calls across 6+ AWS services. You check application status in AWS Systems Manager for SAP (SSM for SAP) or AWS Console for SAP Applications , review metrics for CPU, memory and disk in Amazon CloudWatch (CloudWatch), verify HANA backup status in AWS Backup , run configuration checks on the application using SSM for SAP, inspect filesystem usage on SAP hosts, and then correlate all this data manually.

Today, AWS announces the general availability of the AWS SDK for SAP ABAP Knowledge MCP Server . Before this release, you had to context-switch between your IDE and AWS documentation, and formulate your own ABAP code based on generic usage and examples. With this MCP (Model Context Protocol) server, your agentic IDE does that for you, with the same authoritative documentation as the official AWS SDK for SAP ABAP reference.

Organizations generate massive volumes of structured data from customer transactions, operational metrics, product catalogs, and compliance records. This data contains insights that can help businesses make better and timely decisions. Financial advisors need to review client transaction histories, retail analysts track inventory trends, and healthcare administrators monitor patient outcomes. Yet accessing these insights creates a bottleneck.

AI models produce better results when they operate on current data. This is especially true for agentic AI systems, which are software components that plan, decide, and act on behalf of users. When the underlying data is stale or incomplete, model outputs degrade and downstream actions become unreliable. With IBM ‘s recent completion of its acquisition of Confluent , Amazon Web Services (AWS) customers now have a more direct path from live operational data to model inference.

Motability Operations runs the UK’s Motability Scheme and provides vehicle leasing services to approximately 900,000 disabled customers. The organization leases cars, Wheelchair Accessible Vehicles, scooters, and powered wheelchairs, delivering an all-inclusive package with insurance, maintenance, and breakdown coverage that supports independence and mobility for customers across the country.

Workplace safety has improved dramatically over the past several decades. According to the Bureau of Labor Statistics, occupational injury rates in the United States have declined by more than 60% since the early 1970s . This is driven by stronger regulations, better training programs, and a growing culture of safety-first operations. Despite this progress, the International Labour Organization reports that 395 million workers worldwide still sustain non-fatal occupational injuries each year,...

Fault-tolerant quantum computing requires quantum error correction (QEC): Encoding one logical qubit into many physical qubits so that, below a threshold error rate, the logical error rate falls rapidly as the code grows. The practical engineering question is: How large must the code be and how good must the hardware be to reach a useful logical qubit?

Introduction Answering technical questions that span multiple specialties is rarely just about finding the right answer. One of the hardest parts is often coordinating the right people to provide it. What if AI could augment this coordination—not by replacing expert teams, but by accelerating their initial research and synthesis? When complex technical questions span multiple domains, the path to an answer often involves significant friction.

From Hospital Walls to the Home — A New Era of Intelligent Care Healthcare has long been defined by a fundamental constraint: the best care requires physical presence — patients travel to hospitals, clinicians are bound to facilities, and monitoring depends on proximity. But what if AWS-powered intelligence could follow the patient — anywhere, anytime?

This post is cowritten with Avdhesh Paliwal from Oldcastle. Oldcastle APG is one of the largest suppliers of construction materials in North America, including asphalt and concrete. The company also provides construction and paving services across more than 150 facilities. As the company migrated from on-premises systems to Infor Cloud ERP hosted on Amazon Web Services (AWS), they faced a critical challenge: maintaining the real-time operational reporting capabilities that hundreds of users...

Financial institutions migrating to AWS face challenges receiving multicast data: CME Group Market Data Platform (MDP) delivers market data through multicast feeds, but Amazon Virtual Private Cloud (Amazon VPC) does not currently support native multicast distribution without additional configuration. Without a multicast-capable architecture, you must replicate data through complex unicast workarounds that might increase cost, and operational overhead.

Introduction Organizations in automotive, manufacturing, and embedded systems increasingly rely on cloud-based development environments to reduce hardware dependency and accelerate software delivery. As vehicle architectures shift toward software-defined platforms, engineering teams need access to specialized toolchains, virtual hardware models, and simulation environments that are consistent across sites and reproducible across projects.

Starting today, microcredentials are freely accessible to all builders. No AWS Skill Builder subscription required. That’s the news. But the reason this change matters goes deeper than a pricing update. Skills validation is evolving. Cloud and AI skills are in high demand. The pace of AI adoption is outrunning most organizations’ ability to skill their workforce. Builders are responding: they’re taking courses, completing labs, and earning certifications at record rates.

A practical guide to spatial data management for inspection workflows on AWS Introduction Across cities and regions, property owners and inspection firms are under increasing pressure to document exterior conditions accurately, meet local compliance requirements, and produce records that can hold up months or even years later. In practice, many inspection programs still rely on rope access crews, manual photo capture, and handwritten notes that get stitched together after the fact.

Introduction Traitomic, a spinoff from the Carlsberg Research Laboratory, develops better genetics for the food industry. Traitomic uses technology developed at Carlsberg to help food companies create healthier, more sustainable products by identifying improved traits in crops and microbes, from higher-protein beans to more energy efficient microbial strains.

Managing multiple Amazon Elastic Kubernetes Service (Amazon EKS) clusters for development and testing environments can present significant operational and cost challenges for enterprises. Deloitte, a global professional services organization, faced these challenges while provisioning dedicated Amazon EKS clusters for their quality assurance (QA) testing environments. In this post, we explore how Deloitte used Amazon EKS and vCluster to transform their testing infrastructure.

The below blog recaps the keynote delivered at the 2026 AWS Life Sciences Symposium. View the full recording. There are two contrasting narratives depicting the success of agentic AI across the life sciences. On one hand, a recent report from Deloitte cited that only 22% of life sciences leaders self-report successfully scaling AI, with only 9% reporting significant returns.

When you are the first to move a critical financial system to the cloud, there is no playbook to follow. The Options Clearing Corporation (OCC) is a Systemically Important Financial Market Utility ( SIFMU ). For an organization like OCC, a system outage is not an operational incident; it is a market event. In 2022, OCC became the first SIFMU to receive a Notice of No Objection from the SEC for its proposal to adopt cloud infrastructure .

Transform weeks of manual financial analysis into minutes of intelligent, automated research using AI agent orchestration Investment research teams in financial services face an increasingly complex challenge: the exponential growth of market data has far outpaced traditional analysis capabilities. Research analysts spend 60-80% of their time on manual data gathering and basic calculations, leaving limited bandwidth for strategic insights and decision-making.

Welcome to April’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 March course update? Check it out here . This month, we launched multiple new digital training products on AWS Skill Builder including localized exam prep materials in support of the Security – Specialty Exam. You’ll also want to check out the exciting announcement about microcredentials . Details below!

Introducing Advanced Account Security: phishing-resistant login, stronger recovery, and enhanced protections to safeguard sensitive data and prevent account takeover.

How goblin outputs spread in AI models: timeline, root cause, and fixes behind personality-driven quirks in GPT-5 behavior.

OpenAI scales Stargate to build the compute infrastructure powering AGI, adding new data center capacity to meet growing AI demand.

OpenAI outlines a five-part action plan for strengthening cybersecurity in the Intelligence Age, focused on democratizing AI-powered cyber defense and protecting critical systems.

OpenAI GPT models, Codex, and Managed Agents are now available on AWS, enabling enterprises to build secure AI in their AWS environments.

Learn how OpenAI protects community safety in ChatGPT through model safeguards, misuse detection, policy enforcement, and collaboration with safety experts.

OpenAI is available at FedRAMP Moderate authorization for ChatGPT Enterprise and the OpenAI API, enabling secure AI adoption for U.S. federal agencies.

OpenAI and Microsoft announce an amended agreement that simplifies the partnership, adds long-term clarity, and supports continued AI innovation at scale.

Learn how Symphony, an open-source spec for Codex orchestration, turns issue trackers into always-on agent systems—boosting engineering output and reducing context switching.

How Choco used OpenAI APIs to streamline food distribution, boost productivity, and unlock growth—an in-depth customer story on real-world AI impact.

Our mission is to ensure that AGI benefits all of humanity. Sam Altman shares five principles that guide our work.

Introducing GPT-5.5, our smartest model yet—faster, more capable, and built for complex tasks like coding, research, and data analysis across tools.

Learn how to configure Codex settings, including personalization, detail level, and permissions, to run tasks smoothly and customize your workflow.

Learn how to get started with Codex by setting up projects, creating threads, and completing your first tasks with step-by-step guidance.

Learn how Codex helps you go beyond chat by automating tasks, connecting tools, and producing real outputs like docs and dashboards.

Learn how to automate tasks in Codex using schedules and triggers to create reports, summaries, and recurring workflows without manual effort.

Explore 10 practical Codex use cases to automate tasks, create deliverables, and turn real inputs into outputs across tools, files, and workflows.

Learn how to use Codex plugins and skills to connect tools, access data, and follow repeatable workflows to automate tasks and improve results.

Learn how to set up your Codex workspace, create threads and projects, manage files, and start completing tasks with step-by-step guidance.

Explore the GPT-5.5 Bio Bug Bounty: a red-teaming challenge to find universal jailbreaks for bio safety risks, with rewards up to $25,000.

OpenAI makes ChatGPT for Clinicians free for verified U.S. physicians, nurse practitioners, and pharmacists, supporting clinical care, documentation, and research.

Learn how to build, use, and scale workspace agents in ChatGPT to automate repeatable workflows, connect tools, and streamline team operations.

A deep dive into the Codex agent loop, showing how WebSockets and connection-scoped caching reduced API overhead and improved model latency.

Workspace agents in ChatGPT are Codex-powered agents that automate complex workflows, run in the cloud, and help teams scale work across tools securely.

OpenAI Privacy Filter is an open-weight model for detecting and redacting personally identifiable information (PII) in text with state-of-the-art accuracy...

ChatGPT Images 2.0 introduces a state-of-the-art image generation model with improved text rendering, multilingual support, and advanced visual reasoning.

OpenAI launches Codex Labs, partners with with Accenture, PwC, Infosys, and others to help enterprises deploy and scale Codex across the software development lifecycle, and hits 4M Codex WAU.

Hyatt deploys ChatGPT Enterprise across its global workforce, using GPT-5.4 and Codex to improve productivity, operations, and guest experiences.

The updated Codex app for macOS and Windows adds computer use, in-app browsing, image generation, memory, and plugins to accelerate developer workflows.

OpenAI introduces GPT-Rosalind, a frontier reasoning model built to accelerate drug discovery, genomics analysis, protein reasoning, and scientific research workflows.

Leading security firms and enterprises join OpenAI’s Trusted Access for Cyber, using GPT-5.4-Cyber and $10M in API grants to strengthen global cyber defense.

OpenAI updates the Agents SDK with native sandbox execution and a model-native harness, helping developers build secure, long-running agents across files and tools.

OpenAI expands its Trusted Access for Cyber program, introducing GPT-5.4-Cyber to vetted defenders and strengthening safeguards as AI cybersecurity capabilities advance.

Cloudflare brings OpenAI’s GPT-5.4 and Codex to Agent Cloud, enabling enterprises to build, deploy, and scale AI agents for real-world tasks with speed and security.

Learn what AI is, how it works, and how tools like ChatGPT use large language models. A clear, beginner-friendly guide to understanding artificial intelligence.

Learn how to analyze data with ChatGPT by exploring datasets, generating insights, creating visualizations, and turning findings into actionable decisions.

Learn how to use AI responsibly with best practices for safety, accuracy, and transparency when using tools like ChatGPT.

Learn how operations teams use ChatGPT to streamline workflows, improve coordination, standardize processes, and drive faster execution.

Learn how to use ChatGPT for writing to draft, revise, and refine content with clear structure, tone, and intent.

Learn how to use ChatGPT to brainstorm ideas, organize thinking, and turn rough concepts into structured, actionable plans.

Learn how to use ChatGPT, start your first conversation, and discover simple ways to write, brainstorm, and solve problems with AI.

Learn how sales teams use ChatGPT to research accounts, personalize outreach, manage deals, and improve pipeline and conversion.

Learn how finance teams use ChatGPT to streamline reporting, analyze data, improve forecasts, and communicate insights more clearly.

Explore how OpenAI products like ChatGPT, Codex, and APIs bring AI into real-world use for work, development, and everyday tasks.

Explore AI resources for financial services, including prompt packs, GPTs, guides, and tools to help institutions deploy and scale AI securely.

Learn how managers use ChatGPT to prepare for conversations, write clear feedback, stay organized, and improve team effectiveness.

Learn how to create and use ChatGPT skills to build reusable workflows, automate recurring tasks, and ensure consistent, high-quality outputs.

Learn how to personalize ChatGPT using custom instructions and memory to get more relevant, consistent, and tailored responses.

Learn how to build and use custom GPTs to automate workflows, maintain consistent outputs, and create purpose-built AI assistants.

Learn how to upload and work with files in ChatGPT to analyze data, summarize documents, and generate content from PDFs, spreadsheets, and more.

Learn how to create and refine images with ChatGPT using clear prompts, iterate on designs, and generate high-quality visuals in minutes.

Learn how to research with ChatGPT using search and deep research to find up-to-date information, analyze sources, and generate structured insights.

Learn how marketing teams use ChatGPT to plan campaigns, generate content, analyze performance, and move from ideas to execution faster.

Explore how clinicians use ChatGPT to support diagnosis, documentation, and patient care with secure, HIPAA-compliant AI tools.

OpenAI responds to the Axios supply chain attack by rotating macOS code signing certificates, updating apps, and confirming no user data was compromised.

Learn how to use projects in ChatGPT to organize chats, files, and instructions, manage ongoing work, and collaborate more effectively.

Learn how customer success teams use ChatGPT to manage accounts, improve communication, reduce churn, and drive adoption and renewals.

Learn prompting fundamentals and how to write clear, effective prompts to get better, more useful responses from ChatGPT.

Learn how to use ChatGPT for research to gather sources, analyze information, and create structured, citation-backed insights.

CyberAgent uses ChatGPT Enterprise and Codex to securely scale AI adoption, improve quality, and accelerate decisions across advertising, media, and gaming.

Explore the official terms and conditions for the OpenAI Full Fan Mode Contest, including eligibility, entry steps, judging criteria, and prize details. Learn how to participate, submit your entry on Instagram, and win IPL match tickets.

OpenAI outlines the next phase of enterprise AI, as adoption accelerates across industries with Frontier, ChatGPT Enterprise, Codex, and company-wide AI agents.

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

A pilot program to support independent safety and alignment research and develop the next generation of talent...

Explore our ambitious, people-first industrial policy ideas for the AI era—focused on expanding opportunity, sharing prosperity, and building resilient institutions as advanced intelligence evolves.

OpenAI acquires TBPN to accelerate global conversations around AI and support independent media, expanding dialogue with builders, businesses, and the broader tech community.

Codex now includes pay-as-you-go pricing for ChatGPT Business and Enterprise, providing teams a more flexible option to start and scale adoption.

Gradient Labs uses GPT-4.1 and GPT-5.4 mini and nano to power AI agents that automate banking support workflows with low latency and high reliability.

In our Engineering Energizers Q&A series, we highlight the engineering minds driving innovation across Salesforce. Today, we spotlight Tom Noah, Senior Software Engineer on Salesforce’s Security Mesh platform team, who integrates signals from CrowdStrike , Okta , and internal event monitoring systems to analyze massive security data streams. To support this, Tom increased code coverage by 28% without adding a single test by restructuring how data models were implemented.

In our Engineering Energizers Q&A series, we highlight the engineering minds driving innovation across Salesforce. Today, we spotlight Rajas Mhatre, Senior Director of Software Engineering at Salesforce, who leads the development of autonomous engagement agents that transform sales operations by generating over $100 million in pipeline, creating more than 10,000 opportunities, and contributing to 1,500 closed deals through automated workflows.

In our Engineering Energizers Q&A series, we highlight the engineering minds driving innovation across Salesforce. Meet Emin Gerba, Technology & Product Chief Architect, who guides platform-wide architectural strategy, cross-cloud patterns, and the long-range evolution of the Salesforce product suite, supporting architectural alignment across products and services for over 100,000 customer organizations.

In our Engineering Energizers Q&A series, we highlight the engineering minds driving innovation across Salesforce. Today, we spotlight Kishore Chaganti, Principal Software Engineer on the Interactive Data Science team, who scales the Einstein Notebooking platform to provide secure, production-grade AI debugging for Data 360 and Agentforce. This empowers engineers to run investigations across more than 60 Agentforce features, with 600 users, and massive datasets exceeding 400 million records and.

By Karthik Premnath, Arie Kusnadi, and Felix Yu. In our Engineering Energizers Q&A series, we highlight the engineering minds driving innovation across Salesforce. Today, we spotlight Karthik Premnath, a lead software engineer on the Agentforce Sales Engagement team that engineered a distributed persistent queue that orchestrates AI workloads and human workflows within strict infrastructure limits to help customers scale outreach to over 10,000 leads daily.

By Violet Gong, Gang Shu, and Shweta Joshi . In our Engineering Energizers Q&A series, we highlight the engineering minds driving innovation across Salesforce. Today, we spotlight Violet Gong, Senior Director of Software Engineering. She leads the Revenue Orchestration team, who built the Sales Agent on Agentforce to autonomously manage CRM data and produced 1.04 million monthly recommendations for 13,000 sellers.

For 50 years, if you weren’t a billion-dollar company, you could not afford to run your business with the same precision, depth, and intelligence as the world’s best. Pave a clear path to scalable, sustainable growth on a timeline that’s right for you Learn how The software itself wasn’t the barrier; the operational weight around it was: dedicated data centers, expensive hardware, annual upgrade cycles that consumed months of IT resources, and the specialist teams to keep it all alive.

TSG Hoffenheim and SAP are deepening their longstanding collaboration to jointly explore and validate the next generation of intelligence‑driven football operations. As one of the German Bundesliga’s most forward‑thinking organizations , TSG Hoffenheim is working closely with SAP in a co‑innovation setup to pioneer and test new AI capabilities within SAP Sports One . The focus is on assessing how AI can support football‑specific processes such as scouting and video analysis.

A ginger shot, fresh off the line, was the first stop for many visitors at SAP’s booth at Hannover Messe. But the real takeaway was seeing AI in action. From mixing the ginger shot to packaging and warehouse delivery, visitors saw how SAP is turning AI ambition into real-world manufacturing execution, delivering end-to-end supply chain management processes, and building the resilience every manufacturer needs. Held from April 20–24, Hannover Messe is the world’s leading industrial trade fair.

On April 16, 2026, SAP officially opened its newest creative space for customer co-creation, SAP AppHaus Walldorf. After months of renovation and designing the new creative space together with architects and facility management, the new SAP AppHaus Walldorf opened its doors for SAP employees in the region. It is an important milestone towards an outstanding, integrated customer experience on the Walldorf campus.

SAP is excited to announce that former Formula 1 Driver and Grand Prix Winner David Coulthard will be a special guest together with Mika Häkkinen at SAP Sapphire 2026, appearing at both the Orlando and Madrid events. Visitors will have the opportunity to experience Coulthard and Häkkinen live at the Services and Support Center, where performance, precision, and innovation come together.

What does it take for a 125-year-old technology company to reinvent itself for the AI era? NEC is already taking that step, moving from continuous transformation to AI at scale. Founded in 1899, NEC Corporation is one of Japan’s leading technology companies, operating globally across IT services, telecommunications, and digital infrastructure. Over the decades, the company has continuously adapted to new waves of technological change, but today’s shift is different.

Since the signing of the cooperation agreement in 2024, SAP and the German Federal Office for Information Security (BSI) have been working together to translate secure digitalization into concrete solutions. As a global player in the software and technology industry, SAP is a key enabler of digital sovereignty in Germany and across Europe. With the introduction of the BSI’s new C3A criteria and the growing importance of resilient cloud infrastructures, digital sovereignty is now entering a...

Business transformation is tough. Adapting the way you work in response to AI advances, supply chain disruption, seismic political shifts, and more can often draw focus and resources away from actually doing the work itself. The other key characteristic of business transformation: it’s not going away. Organizations that ignore the need for change find themselves constantly on the back foot, unable to take advantage of new opportunities, and in an endless loop of reactivity.

Announcement by SAP SE, Walldorf, pursuant to Sec. 62 para. 3 sent. 2 cl. 1 UmwG – Notice of upcoming merger – It is intended to merge emarsys interactive services GmbH (Local Court of Charlottenburg, HRB 118447) as the transferring company with SAP SE as the acquiring company by way of a simplified intra-group merger. The transfer of the assets of emarsys interactive services GmbH shall take effect internally as of January 1, 2026, at 12:00 a.m. (“ Merger Effective Date ”).

WALLDORF — SAP SE (NYSE: SAP) today announced its financial results for the first quarter of 2026. At a glance Current cloud backlog of €21.9 billion, up 20% and up 25% at constant currencies Cloud revenue up 19% and up 27% at constant currencies Cloud ERP Suite revenue up 23% and up 30% at constant currencies Total revenue up 6% and up 12% at constant currencies IFRS operating profit up 17%, non-IFRS operating profit up 17% and up 24% at constant currencies Christian Klein, CEO: “We had a...

HR leaders often worry about moving too fast—embracing new trends, over-investing in new technology, or introducing more change than the organization can absorb. But a new business value study from IDC sponsored by SAP* , based on organizations using SAP SuccessFactors solutions to run core HR, time, and payroll, points to a different risk altogether: fragmentation. And not only as an operational inefficiency, but as a fundamental barrier to realizing the full potential of AI in HR.

Imagine your customer opening your app after receiving a personalized email offer. They are expecting a seamless experience. SAP and Google Cloud Expand Partnership to Deploy Multi-Agent AI Read the news Instead, they immediately encounter friction. They’re asked to repeat information they’ve already shared across multiple channels and departments. Then they see an offer for the item they just purchased, rather than something similar or new.

Customers can deploy Joule Agents in SAP CX Solutions to build, launch, and optimize marketing campaigns Gemini Enterprise acts as a central hub for agents to take action across SAP and Google Cloud platforms LAS VEGAS — SAP SE (NYSE: SAP) and Google Cloud today announced a new partnership that will help marketers put AI agents to work at scale. Deliver personalized, AI-driven engagement across every channel and touchpoint Learn how Through new integrations between the SAP Engagement Cloud, SAP.

The first time Flavio Proietti Pantosti entered a prison, he was immediately struck by the sense of oppression: “Walking down the long, straight corridors, the intense feeling of confinement was overwhelming, matched only by the profound relief upon leaving.” This first encounter as a volunteer in an Italian correctional facility inspired Proietti Pantosti, founder of social enterprise Reoassunto, to help inmates regain control of their lives during imprisonment.

Customer engagement is at a breaking point, and the most recent data proves it. Even as organizations accelerate their investment in AI, automation, and analytics, experiences often feel disconnected, impersonal, and reactive. Connect AI, data, and customer-facing applications to deliver winning experiences Learn how The problem is not the promise of AI. It’s the gap between intelligence in the system and connection in the moment.

Manufacturing is entering a decisive moment. Rising costs, intensifying global competition, expanding regulatory requirements, and the rapid acceleration of agentic artificial intelligence are reshaping how products are designed, planned, produced, delivered, and serviced. Volatility is no longer an exception; it is the operating environment. To succeed, manufacturers need more than incremental improvements or siloed optimizations.

SAP is excited to announce that two-time Formula One World Champion Mika Häkkinen will be a special guest at SAP Sapphire 2026, appearing at both the Orlando and Madrid events. Visitors will have the opportunity to experience Häkkinen live at the Services and Support Center, where performance, precision, and innovation come together. Photo credit: Marco Canoniero/Alamy Live News As an F1 Ambassador, Häkkinen represents the values that define both elite motorsport and modern enterprise...

HANOVER — SAP SE (NYSE: SAP) and machine and plant manufacturer Uhlmann today announced an integrated approach that embeds digital production environments, open data ecosystems and SAP Business AI directly into operational processes. Get more done faster and more efficiently with AI and agents that understand your business processes and data Learn how The announcement was made at HANNOVER MESSE 2026, where they showcased PacXplorer, a high-tech packaging machine from Uhlmann that serves as both.

Customer experience has entered a decisive new phase. Connect AI, data, and customer-facing applications to deliver winning experiences Learn how AI alone is no longer a differentiator: What matters is where intelligence operates inside of a business. As demand volatility increases, fulfillment windows tighten, and customer expectations rise, organizations need more than insights or task assistance.

Security and sovereignty have become operational prerequisites for digital technologies. Organizations in the public sector and regulated industries expect not only innovation and scalability, but verifiable proof that security controls align with national standards. SAP Sovereign Cloud: Embrace the cloud without compromise Learn how With the successful completion of ISO/IEC 27001 certification on the basis of IT-Grundschutz for the physical infrastructure of SAP-owned data centers in Germany ,.

WALLDORF — SAP SE (NYSE: SAP) will release its results for the first quarter of 2026 on Thursday, April 23. SAP CEO Christian Klein and CFO Dominik Asam will host a financial analyst call to review first quarter results. Media representatives may may listen in on the virtual analyst via Webcast on April 23, 2026, at 11:00 p.m. CEST/5:00 p.m. ET. Subscribe to the SAP News Center newsletter and get stories and highlights delivered straight to your inbox each week Sign up now...

Today, educators across disciplines face a common challenge: preparing students with the analytical skills employers increasingly demand. The Hockey Analyst: Turn Passion for Sports Into Powerful Learning with Real NHL Game Data Watch the video According to the World Economic Forum’s Future of Jobs Report, analytical thinking ranks as the top sought-after skill in the job market. Yet traditional teaching often struggles to connect theory with practice in a way that truly engages students.