European AI and Cloud Summit 2025
Dusseldorf , Germany added 3,000+ tech enthusiast and hosted the Microsoft for Startups Cloud AI Pitch Competition between May 26-28, 2025. We were pleased to attend the European AI Cloud and Collaboration Summits and Biz Apps Summit– to participate and to gain so much back from everyone. It was a packed week filled with insights, feedback, and fun. Below is a recap of various aspects of the event - across keynotes, general sessions, breakout sessions, and the Expo Hall. The event in a nutshell: 3,000+ attendees 237 speakers overall – 98 Microsoft Valued Professionals, 16 Microsoft Valued Professional Regional Directorss, 51 from Microsoft Product Groups and Engineering 306 sessions | 13 tutorials (workshops) 70 sponsors | One giant Expo Hall PreDay Workshop AI Beginner Development Powerclass This workshop is designed to give you a hands-on introduction to the core concepts and best practices for interacting with OpenAI models in Azure AI Foundry portal. Innovate with Azure OpenAI's GPT-4o multimodal model in this hands-on experience in Azure AI Foundry. Learn the core concepts and best practices to effectively generate with text, sound, and images using GPT-4o-mini, DALL-E and GPT-4o-realtime. Create AI assistants that enhance user experiences and drive innovation. Workshop for you azure-ai-foundry/ai-tutorials: This repo includes a collection of tutorials to help you get started with building Generative AI applications using Azure AI Foundry. Each tutorial is designed to be self-contained and provides step-by-step instructions to guide you in the development process. Keynotes & general sessions Day 1 Keynote The Future of AI Is Already Here, Marco Casalaina, VP Products of Azure AI and AI Futurist at Microsoft This session discussed the new and revolutionary changes that you're about to see in AI - and how many of them are available for you to try now. Marco shared how AI is becoming ubiquitous, multimodal, multilingual, and autonomous, and how it will change our lives and our businesses. This session covered: • Incredible advances in multilingual AI • How Copilot (and every AI) are grounded to data, and how we do it in Azure OpenAI • Responsible AI, including evaluation for correctness, and real time content safety • The rise of AI Agents • And how AI is going to move from question-answering to taking action Day 2 Keynote Leveraging Microsoft AI: Navigating the EU AI Act and Unlocking Future Opportunities, Azar Koulibaly, General Manager and Associate General Counsel This session was for developers and business decision makers, Azar set the stage for Microsoft’s advancements in AI and how they align with the latest regulatory framework. Exploring the EU AI Act, its key components, and its implications for AI development and deployment within the European Union. The audience gained a comprehensive understanding of the EU AI Act's objectives, including the promotion of trustworthy AI, the mitigation of risks, and the enhancement of transparency and accountability. Learning aboutMicrosoft's Cloud and AI Services provide robust support for compliance with these new regulations, ensuring that your AI projects are both innovative and legally sound and Microsoft trust center resources. He delved into the opportunities that come with using Microsoft’s state-of-the-art tools, services, and technologies. Discover how partnering with Microsoft can accelerate your AI initiatives, drive business growth, and create competitive advantages in an evolving regulatory landscape. Join us to unlock the full potential of AI while navigating the complexities of the EU AI Act with confidence. General Sessions It is crucial to ensure your organization is technically ready for the full potential of AI. The sessions focused on technical readiness and ensuring you have the latest guidance. Our experts will shared the best practices and provide guidance on how to leverage AI and Azure AI Foundry to maximize the benefits of Agents, LLM and Generative within your organization. Expo Hall + Cloud AI Statup Stage + tutorials The Expo Hall was Buzzing with demos, discussions, interviews, podcasts, lightning talks, popcorn, catering trucks, cotton candy, SWAG, prizes, and community. There was a busy Cloud AI StartupStage, a Business Stage, and shorter talks delivered in front of a shiny airstream trailer. Cloud AI Startup Stage This was a highly informative and engaging event focused on Artificial Intelligence (AI) and its potential for startups. The Microsoft for Startups is a platform to provide startups with the resources, tools, and support they need to succeed. This portion of the event offered value to budding entrepreneurs and established startups looking to scale. For example, on day 2, we focused on accelerating innovation with Microsoft Founders Hub and Azure AI. Startups could kickstart their journey with Azure credits and gain access to 30+ tools and services, benefiting from additional credits and offerings as they evolve. It’s a great way for Startups to navigate technical and business challenges. Cloud AI Startup Pitch The Microsoft for Startups AI Pitch Competition and Startup Stage at European Cloud Summit 2025 This was a highly informative and engaging event focused on Artificial Intelligence (AI) and its potential for startups. The Microsoft Startup Programme was introduced as a platform that provides startups with the resources, tools, and support they need to succeed. The AI Empowerment session provided an in-depth overview of the various AI services available through Microsoft Azure AI Foundry and how these cutting-edge technologies can be integrated into business operations. This was perfect for startups looking to get started with AI or those interested in joining the Microsoft Startup Programme. The Spotlight on Innovation session showcased innovative startups from the European Cloud Summit, giving attendees a unique insight into the cutting-edge ideas that are shaping our future. The Empowering Innovation session featured a panel of experts and successful startup founders sharing insights on leveraging Microsoft technologies, navigating the startup ecosystem, and securing funding. This was valuable for budding entrepreneurs or established startups looking to scale. Startup Showcases Holistic AI - End to End AI Governance Platform, Raj Patel, Securing Advantage in the Era of Agentic AI With this autonomy comes high variability: the difference between a minor efficiency and a major one could mean millions in savings. Conversely, a seemingly small misstep could cascade into catastrophic reputational or compliance risk. The stakes are high—but so is the potential. The next frontier introduces a new paradigm: AI managing AI. As organizations deploy swarms of autonomous agents across business functions, the challenge expands beyond governing human-AI interactions. Now, it's about ensuring that AI agents can monitor, evaluate, and optimize each other—in real time, at scale. This demands a shift in both architecture and mindset: toward native-AI platforms and a new human role, moving from human-in-the-loop to human-on-the-loop—strategically overseeing autonomous systems, not micromanaging them. In this session, Adriano Koshiyama will explore how forward-thinking enterprises can prepare for this emerging reality—building governance and orchestration infrastructures that enable scale, speed, and safety in the age of agentic AI. D-ID | The #1 Choice for AI Generated Video Creation Platform, Yaniv Levi In a world increasingly powered by AI, how do we make digital experiences feel more human? At D-ID we enable businesses to create lifelike, interactive avatars that are transforming the way users communicate with AI, making it more intuitive, personal, and memorable. In this session, we’ll share how our collaboration with Microsoft for Startups helped us scale and innovate, enabling seamless integration with Microsoft’s tools to enhance customer-facing AI agents, and LLM-powered solutions while adding a powerful and personalized new layer of humanlike expression. Startup Pitch Competition Day 2 of the event focused on accelerating innovation with Microsoft Starups and Azure AI Foundry. Startups can kickstart their journey with Azure credits and gain access to 30+ tools and services, benefiting from additional credits and offerings as they evolve. The Azure AI Foundry provides access to an extensive range of AI models, including OpenAI, Meta, Nvidia, Hugging Face. Moreover, startups can navigate through technical and business challenges with the help of free 1:1 sessions with Microsoft experts. The Cloud Startup Stage Competition showcased the most innovative startups in the Microsoft Azure and Azure OpenAI ecosystem, highlighting their groundbreaking solutions and business models. This was a celebration of innovation and success and provided insights into the experiences, challenges, and future plans of these startups The Judges The Pitches . The Winners 1 st Place Graia 2 nd Place iThink365 3 rd Place ShArc Overall, this event was highly informative, engaging, and valuable for anyone interested in AI and its potential for startups. The Microsoft Startup Programme and Azure AI Foundry are powerful tools that can help startups achieve success and transform their ideas into successful businesses. In the end... We are grateful for this year's active and engaging #CollabSummit & #CloudSummit #BizAppSummit— so much goodness, caring, learning, and fun! Great questions, stories, understanding of your concerns, and the sharing in fun. Thank you and see you next year! We look forward to seeing in Cololgne - May 5-7, 2025 – Collaboration Summit (@CollabSummit), Cloud Summit (@EUCloudSummit), and BizApps Summit (@BizAppsSummit) and continue the discussion around AI in our Azure AI Discord CommunityAnnouncing the Firmware Analysis Public Preview
Consider an organization with thousands of smart sensors, IoT/OT and network equipment deployed on factory floors. Most of these devices are running full operating systems, but unlike traditional IT endpoints which often run security agents, IoT/OT and network devices frequently function as “black boxes”: you have little visibility into what software they’re running, which patches are applied, or what vulnerabilities might exist within them. This is the challenge many organizations face with IoT/OT and networking equipment - when a critical vulnerability is disclosed, how do you know which devices are at risk? To help address this challenge, we are excited to announce the public preview of firmware analysis, a new capability available through Azure Arc. This extends the firmware analysis feature we introduced in Microsoft Defender for IoT, making it available to a broader range of customers and scenarios through Azure. Our goal is to provide deeper visibility into IoT/OT and network devices by analyzing the foundational software (firmware) they run. Firmware analysis will also help companies that build firmware for devices better meet emerging cybersecurity regulations on their products. In this post, we’ll explain how the service works, its key features, and how it helps secure the sensors and edge devices that feed data into AI-driven industrial transformation. Securing Edge Devices to Power AI-Driven Industrial Transformation In modern industrial environments, data is king. Organizations are embracing Industry 4.0 and AI-driven solutions to optimize operations, leveraging advanced analytics and machine learning. The path to AI-driven industrial transformation is fueled by data – and much of that data comes from sensors and smart devices at the edge of the network. These edge devices measure temperature, pressure, vibration, and dozens of other parameters on the factory floor or in remote sites, feeding streams of information to cloud platforms where AI models turn data into insights. In fact, sensors are the frontline data collectors in systems like predictive maintenance, continuously monitoring equipment and generating the raw data that powers AI predictions. However, if those edge devices, sensors, and networking equipment are not secure and become compromised, the quality and reliability of the data (and thus the AI insights) cannot be guaranteed. Vulnerable devices can also be used by attackers to establish a foothold in the network, allowing them to move laterally to compromise other critical systems. In an industrial setting this could mean safety hazards, unplanned downtime, or costly inefficiencies. This is why securing the smart devices and networking equipment at the foundation of your industrial IoT data pipeline is so critical to digital transformation initiatives. By using firmware analysis on the devices’ firmware before deployment (and regularly as firmware updates roll out), the manufacturer and plant operators gain visibility into the security posture of their environment. For example, they might discover that a particular device model’s firmware contains an outdated open-source library with a known critical vulnerability. With that insight, they can work with the vendor to get a patched firmware update before any exploit occurs in the field. Or the analysis might reveal a hard-coded passwords for maintenance account in the device; the ops team can then ensure those credentials are changed or the device is isolated in a network segment with additional monitoring. In short, firmware analysis provides actionable intelligence to fortify each link in the chain of devices that your industrial systems depend on. The result is a more secure, resilient data foundation for your AI-driven transformation efforts – leading to reliable insights and safer, smarter operations on the plant floor. Firmware analysis is also a key tool used by device builders – by analyzing device firmware images before they are delivered to customers, builders can make sure that new releases and firmware updates meet their and their customers’ security standards. Firmware analysis is a key component to address emerging cybersecurity regulations such as the EU Cyber Resilience Act and the U.S. Cyber Trust Mark. How Firmware Analysis Works and Key Features Firmware analysis takes a binary firmware image (the low-level software running on an IoT/OT and network device) and conducts an automated security analysis. You can upload an unencrypted, embedded Linux-based firmware image to the firmware analysis portal. The service unpacks the image, inspects its file system, and identifies potential hidden threat vectors – all without needing any agent on the device. Here are the main capabilities of the firmware analysis service: Identifying software components and vulnerabilities: The first thing the analysis does is produce an inventory of software components found inside the firmware, generating a Software Bill of Materials (SBOM). This inventory focuses especially on open-source packages used in the firmware. Using this SBOM, the service then scans for known vulnerabilities by checking the identified components against public Common Vulnerabilities and Exposures (CVEs) databases. This surfaces any known security flaws in the device’s software stack, allowing device manufacturers and operators to prioritize patches for those issues. Analyzing binaries for security hardening: Beyond known vulnerabilities, our firmware analysis examines how the firmware’s binaries were built and whether they follow security best practices. For example, it checks for protections like stack canaries, ASLR (Address Space Layout Randomization), and other compile-time defenses. This “binary hardening” assessment indicates how resistant the device’s software might be to exploitation. If the firmware lacks certain protections, it suggests the device could be easier to exploit and highlights a need for improved secure development practices by the manufacturer. In short, this feature acts as a gauge of the device’s overall security hygiene in its compiled code. Finding weak credentials and embedded secrets: Another critical aspect of the analysis is identifying hard-coded user accounts or credentials in the firmware. Hard-coded or default passwords are a well-known weakness in IoT devices – for instance, the Mirai botnet famously leveraged a list of over 60 factory-default usernames and passwords to hijack IoT devices for DDoS attacks. Firmware analysis will flag any built-in user accounts and the password hash algorithms used, so manufacturers can remove or strengthen them, and enterprise security teams can avoid deploying devices with known default credentials. Additionally, the firmware analysis looks for cryptographic materials embedded in the image. It will detect things like expired or self-signed TLS/SSL certificates, which could jeopardize secure communications from a device. It also searches for any public or private cryptographic keys left inside the firmware – secrets that, if found by adversaries, could grant unauthorized access to the device or associated cloud services. By uncovering these hidden secrets, the service helps eliminate serious risks that might otherwise go unnoticed in the device’s software. All these insights – from software inventory and CVEs to hardening checks and secret material detection – are provided in a detailed report for each firmware image you analyze. Firmware analysis provides deep insights, clear visibility, and actionable intelligence into your devices' security posture, enabling you to confidently operate your industrial environments in the era of AI-driven industrial transformation. Getting Started and What’s Next If you have IoT/OT and network devices in your environment, use firmware analysis to test just how secure your devices are. Getting started is easy: access firmware analysis public preview by searching on “firmware analysis” in the Azure portal, or access using this link. In the future, firmware analysis will be more tightly integrated into the Azure portal. Onboard your subscription to the preview and then upload firmware images for analysis - here is a step-by-step tutorial. The service currently supports embedded Linux-based images up to 1GB in size. In this preview phase, there is no cost to analyze your firmware – our goal is to gather feedback. We are excited to share this capability with you, as it provides a powerful new tool for securing IoT/OT and network devices at scale. By shedding light on the hidden risks in device firmware, firmware analysis helps you protect the very devices that enable your AI and digital transformation initiatives. Firmware is no longer just low-level code—it’s a high-stakes surface for attack, and one that demands visibility and control. Firmware analysis equips security teams, engineers, and plant operators with the intelligence needed to act decisively—before vulnerabilities become headlines, and before attackers get a foothold. Please give the firmware analysis preview a try and let us know what you think.Public Preview of Teams Phone extensibility for CCaaS ISV solution developers
At Enterprise Connect in March, we introduced Teams Phone extensibility for Dynamics 365 Contact Center and contact center as a service (CCaaS) ISV solutions to help organizations extend their telephony investment with Teams Phone into the contact center. On June 2nd 2025, we are pleased to announce that ISV developers can now access Teams Phone extensibility in public preview for their CCaaS solutions. Background With generative AI, Contact Center as a Service (CCaaS) providers can easily advise human agents so they’re responsive to customer needs, can automate workflows and ultimately improve the overall customer experience. However, workflows are often divided between Unified Communications as a Service (UCaaS) providers like Microsoft Teams and CCaaS systems. This division limits generative AI's potential to streamline operations and deliver a consolidated view of data. Today, organizations want integrated, customizable solutions from their CCaaS providers that unify telephony infrastructure for a complete view of customer interactions and robust data handling. Teams Phone extensibility benefits for CCaaS developers Teams Phone extensibility, which is powered by Azure Communication Services (ACS), enables CCaaS vendors to integrate seamlessly with Teams Phone and deliver several benefits to their customers and end-users, including: Consolidated Telephony for UCaaS and CCaaS: Simplified setup with no need to configure and administer separate phone systems. Customers can use their Teams phone telephony investment for contact center deployments. Conversational AI Integration: Developers can use Call Automation APIs to use AI-powered tools, play personalized greeting messages, and recognize conversational voice inputs. Extend UCaaS Capabilities to CCaaS: Take advantage of Teams Phone enterprise features, including emergency calling and dial plan policies. Agent Notification handling: Enable data segregation between CCaaS persona and UCaaS persona with the choice of ringing either the Teams standard client or a CCaaS application. Cost Efficiency: Enable ISVs to build cost-effective solutions using existing Teams Phone plans, without adding Azure Communication Services numbers or Direct Routing. Broader Geographic Availability: Integration with Teams Calling Plans, Direct Routing, and Operator Connect provides wider telephony options. Key Features Provisioning for Seamless Integration: Empower CCaaS providers to connect their ACS deployments with customers' Teams tenants, enabling the use of Teams telephony features for a cohesive and efficient communication experience. Call Routing and Mid-Call Controls: Advanced call routing capabilities for efficient call management and escalation to agents. Mid-call controls enable adding participants, redirecting calls, and transferring calls seamlessly. Convenience Recording: Integrate call recording capabilities into Microsoft Teams for CCaaS scenarios, enabling customized recording processes controlled by CCaaS admins. For more information, see Call Recording overview. Conversational AI Integration: Developers can use Call Automation APIs to leverage AI-powered tools, play personalized greeting messages, recognize conversational voice inputs, and use sentiment analysis to improve customer service. Get started today with this Call Automation OpenAI sample. On-Behalf-Of (OBO) calling enables applications to initiate and manage voice calls on behalf of a Teams Resource Account, enabling seamless integration with enterprise workflows Leverage Call Automation: Azure Communication Services Call Automation APIs provide call control and enable CCaaS providers to build server-based and intelligent call flows. Leverage Client SDK: Azure Communication Services Client SDK provide the means for a CCaaS provider to develop a custom client for CCaaS persona workflows In this release, we are adding the following new features: Emergency Calling: Powered by Azure Communication Services Calling SDK, we bring enhanced emergency calling support for agents who can dial emergency services, provide their static location, and receive callbacks from public safety answering points with Teams Phone service numbers. Billing: The Teams Phone extensibility business model charges CCaaS vendors for using Azure Communication Services SDKs, including Calling SDK, VoIP consumption, Audio Insights, and Call Recording, while end users must use Teams Calling Plans and enable necessary Teams licenses for agents and resource accounts. More details on Azure Communication Services pricing can be found here. Telemetry: Developers and CCaaS providers can access calling details and logging tools as part of the Teams Phone extensibility. Telemetry enables developers and system admins to monitor call use and debug call quality from the Azure portal either. They can do this by analyzing the Call Summary and Call Diagnostic Logs with a clear Team Phone Extensibility identifier or using the Call Diagnostic Center. We want your feedback We are eager to hear your feedback on the performance, reliability, and overall user experience. Your insights on any missing functionalities or additional scenarios that should be considered are invaluable. Your feedback helps us refine and enhance the feature before general release, ensuring it meets the needs of our customers. We look forward to hearing your thoughts! Get started today Developers can join the Azure Communication Services Technology Adoption Program (TAP) here: Azure Communication Services Technology Adoption Program Registration. We look forward to seeing how partners and customers like you leverage these new capabilities to improve your contact center operations. Concept: https://v012qbntdn.proxynodejs.usequeue.com/TPe-Overview FAQ: https://v012qbntdn.proxynodejs.usequeue.com/TPe-FAQ Tutorials: https://v012qbntdn.proxynodejs.usequeue.com/TPe-Tutorials Support: https://v012qbntdn.proxynodejs.usequeue.com/ACS-SupportPartner Center Technical Corner: June 2025 edition
Welcome to the June edition of Partner Center Technical Corner. This month, we’re spotlighting new AI assistant capabilities for enhanced partner support, tools to optimize small and medium enterprises, and a summary of recent releases. As always, at the end of the blog you can find the most up-to-date essential Partner Center resources. Empowering partners: The evolution of the Partner Center AI assistant Partner Center AI assistant (preview) is built to enhance your Partner Center experience with generative AI, offering tailored insights and intelligent suggestions to transform everyday tasks in Partner Center into opportunities for growth and innovation. As we continue to equip the AI assistant to offer better, more tailored results, we have steadily expanded its capabilities to make your daily operations more efficient, and insight driven. Currently available in preview to partners using the English version of Partner Center, the AI assistant can be accessed via the sparkle icon in the upper-right corner of the page. This will be expanded to other languages soon. As needed, partners can initiate the support ticket creation process through the AI assistant panel. AI assistant now provides comprehensive support for the partner incentives co-op questions in the Earnings and Incentives workspaces. Partners can now quickly access vital information about co-op policies, deadlines, qualifying activities, and proof of execution requirements—information that previously required referencing lengthy documentation. You can ask the AI assistant questions like: "What is the claim deadline for FY25H1 co-op?" or "What are the qualifying activities for partner skilling?" and get quick answers. In January, we introduced the AI assistant Anywhere scenarios in the Earnings workspace, empowering partners to view their detailed earnings trends (by program, engagement, or lever); analyze payment details for their specific customers; and gain deeper insights into revenue streams. Partners can access these capabilities by choosing a specific record in the Payments summary tab or Earnings summary tab and choosing the option from the sparkle icon on the page. The AI assistant quickly generates the right prompt and provides a customized response in the AI assistant chat. Continue reading here🚨Introducing the JS AI Build-a-thon 🚨
We’re entering a future where AI-first and agentic developer experiences will shape how we build — and you don’t want to be left behind. This isn’t your average hackathon. It’s a hands-on, quest-driven learning experience designed for developers, packed with: Interactive quests that guide you step by step — from your first prototype to production-ready apps Community-powered support via our dedicated Discord and local, community-led study jams Showcase moments to share your journey, get inspired, and celebrate what you build Whether you're just starting your AI journey or looking to sharpen your skills with frameworks like LangChain.js, tools like the Azure AI Foundry and AI Toolkit Extensions, or diving deeper into agentic app design — this is your moment to start building.
Moving Email Traffic from Exchange to Azure Communication Services
This article describes the important steps and considerations for transitioning from Exchange Online or other on-premises solutions to the Azure Communication Services email platform. It is also relevant for customers migrating from other mail solutions, whether on-premises or hybrid, to Azure Communication Services.
Explore the latest updates to Microsoft 365 Copilot extensibility
Microsoft 365 Copilot recently announced several new features and updates designed to help you build powerful, secure, and scalable AI experiences within Microsoft 365. Below are key resources and information to help you explore and take advantage of these exciting enhancements. Take a deep dive into all of the new features, agent development tools, and announcements from Build. Discover how you can utilize the latest SDKs to build your own agents for Microsoft 365 Copilot including the Microsoft 365 Agents SDK. Learn how to leverage Copilot connectors and actions to boost the knowledge base for your agents, and more! Watch Build sessions on demand Enterprise-grade AI experiences just got more accessible for developers. The new Microsoft 365 Copilot APIs let you build intelligent apps that are grounded in real user context, securely run within the Microsoft 365 trust boundary, and work with your org’s existing identity and compliance controls. Whether you're automating meeting follow-ups, building audit trails, or integrating natural language search—these APIs are ready to power your next solution: o Interactions Export API o Change Notifications API o Meeting Insights API o Retrieval API o Chat API (Private Preview) Start building today using REST or Graph Explorer. Learn more & explore docs 👉 Read the full blog- Introducing Microsoft 365 Copilot APIs Introducing the Microsoft 365 Agents Toolkit — your new go-to for building code-first agents and apps across Microsoft 365 Copilot, Teams, and more. This evolution of the Teams Toolkit supports: o Full-stack agent development with integrated Microsoft identity & storage o AI-assisted workflows with GitHub Copilot o Rapid iteration with live reload secure tunneling & debugging o Multi-channel publishing from a single build Whether you're working in VS Code, Visual Studio, or CLI, this toolkit meets pro-code developers where they are — with zero-config setup and deep extensibility. Ready to build Copilot agents, intelligent chatbots, or Office add-ins? Start here 👉Read more- Introducing the Microsoft 365 Agents Toolkit The Agent Store is live—your new hub to build, publish, and discover purpose-built AI agents for Microsoft 365 Copilot. Whether you’re creating with low-code in Copilot Studio or going pro-code with the Agents Toolkit, the Agent Store connects your solutions with millions of Microsoft 365 users. o Discover 70+ launch agents o Publish across Teams & m365copilot.com o Get user insights & partner support Start building the next generation of AI assistants today 👉 Learn more- Introducing the Agent Store: Build, publish, and discover agents in Microsoft 365 Copilot
