Cut data entry time and boost accuracy with AI-assisted voice input in SAP Service and Asset Manager.
Empower your field technicians to work smarter, faster, and with greater accuracy. The latest SAP Service and Asset Manager update introduces AI-powered natural language processing, transforming how maintenance and service teams capture job data.
With the new AI-assisted job completion feature, voice input is automatically converted into structured text and stored locally within SAP Service and Asset Manager. When synchronized with the SAP Business Suite, this structured data ensures no critical details are lost, improving data quality and operational transparency.
By eliminating manual data entry, technicians can focus more on what matters—maintaining assets, resolving issues, and keeping operations running smoothly. AI enables seamless, hands-free reporting, minimizing downtime and creating a safer, more efficient work environment.
Built on the SAP Business Technology Platform, SAP Service and Asset Manager connects field operations with enterprise systems, providing the insights, mobility, and flexibility needed to run asset-intensive businesses more efficiently.
00:00 – Introduction
00:22 – AI-Assisted Job Completion Overview
01:10 – Voice Input to Structured Text
01:52 – Synchronization with SAP Business Suite
02:25 – Field Technician Benefits
03:00 – Data Accuracy and Efficiency Gains
03:40 – Closing and Call to Action
Discover how AI in SAP Service and Asset Manager empowers field teams to work faster and smarter: https://sap.to/6053AAR6X
See how SAP Analytics Cloud and SAP Business Data Cloud work together to bring trusted data, AI, and analytics into one connected experience.
In this #SAPConnect 2025 demo, SAP experts showcase the latest innovations that make it easier than ever to access, analyze, and act on business data in real time. You’ll see how SAP Business Data Cloud provides a unified data foundation — securely linking SAP and partner systems — while SAP Analytics Cloud turns that data into actionable insights through intelligent visualization, planning, and predictive capabilities.
00:00 – Introduction: Bringing Analytics and Data Together
01:25 – Unified Data Foundation with SAP Business Data Cloud
03:10 – Enhanced Planning and Predictive Insights in SAP Analytics Cloud
05:20 – Real-Time Collaboration and Decision-Making
07:00 – Closing – From Trusted Data to Confident Action
Built on SAP Business Technology Platform, this demo highlights how data context, governance, and AI combine to power better business decisions. With seamless integration between SAC and BDC, teams gain a single source of truth, faster analytics performance, and the ability to plan, predict, and act — all within one intelligent ecosystem.
This is the next evolution of enterprise analytics: where every insight is connected, every decision is data-driven, and every action moves your business forward.
Watch the full keynote: https://sap.to/6055Asv2T
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Explore SAP Business Data Cloud: https://sap.to/6057Asv2V
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About SAP:
As a global leader in enterprise applications and business AI, SAP stands at the nexus of business and technology. For over 50 years, organizations have trusted SAP to bring out their best by uniting business-critical operations spanning finance, procurement, HR, supply chain, and customer experience. For more information, visit: https://sap.to/6052Asv2w
New intelligent applications and open ecosystem partnerships turn insights into action across the enterprise
As enterprises move toward an AI-driven future, the role of data has never been more critical. Yet much of that data remains locked in silos — spread across teams, clouds, and legacy systems.
Deep research AI and role-based assistants, coupled with SAP Business Suite innovations, take efficiency to new heights
This fragmentation creates a “context gap,” where information is technically available but disconnected from the business meaning that makes it actionable. For example, sales and marketing teams may share a common view of pipeline, but without linking it to product feedback or process bottlenecks, AI models trained on that data miss the full business context. The result is inconsistent insights, slower decision-making, and a stalled cycle of AI, data, and applications.
SAP Business Data Cloud closes this gap. By harmonizing enterprise data wherever it resides and preserving its business context, it provides the foundation for intelligent applications and reliable AI.
At SAP Connect, SAP is bringing this vision to life with the next wave of innovations: SAP Business Data Cloud Intelligent Applications
Four new intelligent applications in preview
Building on the momentum for intelligent applications established at SAP Sapphire, SAP is now opening a restricted public preview of four intelligent applications designed to transform decision-making across finance, procurement, supply chain, and revenue operations.
This preview offers customers an exclusive opportunity to experience the next wave of innovation in SAP Business Data Cloud before general availability. By participating, you’ll gain early access to Finance Intelligence, Spend Intelligence, Supply Chain Intelligence, and Revenue Intelligence, and provide valuable feedback that will help shape the future of these solutions.
To request access, please visit the preview link above, select the applications you are most interested in, and our product team will follow up directly to finalize your registration and guide you through getting started.
Finance Intelligence gives CFOs and finance teams real-time AI-powered analysis of liquidity by harmonizing SAP and third-party data and suggesting key actions to implement. Leaders can forecast cash flow instantly as well as detect liquidity risks using AI trained on live receivables and payables with external credit data such as Moody’s for richer customer risk assessment. With Joule and generative AI agents automating routine finance tasks, finance teams can shift their focus from reporting on the past to actively steering the future.
Spend Intelligence provides organizations with a single, comprehensive view of enriched and classified spend data. Built-in AI and advanced analytics uncover patterns, anomalies, and opportunities for cost savings, while collaborative features connect finance, procurement, HR, and supply chain teams for better alignment. Through native integration with SAP source-to-pay solutions, spend data continuously informs operational workflows, improving decision-making, enhancing control, and strengthening enterprise resilience.
Supply Chain Intelligence equips operations leaders with the context to make faster, more impactful decisions. By combining SAP data with external signals such as weather, regulatory updates, and market shifts — along with insights from millions of partners in SAP Business Network — businesses can leverage the power of AI to understand and take action on key supply chain issues and drive optimization. This comprehensive intelligence helps anticipate disruptions, evaluate supplier risks, and orchestrate decisions seamlessly from prediction to execution, ensuring more resilient and agile operations.
Revenue Intelligence transforms fragmented customer touchpoints into unified, actionable insights. By linking individual customer behaviors with enterprise-wide operations, it helps revenue leaders see which accounts to prioritize, when to intervene, and how to optimize customer investments. Unlike CRM-only tools, Revenue Intelligence connects front-office engagement to back-office execution, empowering organizations to maximize growth opportunities and strengthen customer relationships with a complete view of the business context.
SAP Business Data Cloud Connect
Beyond intelligent applications, SAP is strengthening its open data ecosystem with SAP Business Data Cloud Connect, giving customers unprecedented flexibility to work with trusted data wherever it resides. With secure, zero-copy sharing, customers can bring SAP data products directly into their existing data platforms, eliminating duplication, reducing transformation efforts, and extending the reach of SAP’s business data fabric.
The first partners adopting this capability include Databricks (generally available) and Google (now in public preview), enabling real-time, bi-directional access to semantically rich SAP data products in environments customers already use.
With SAP Business Data Cloud Connect for Databricks now generally available, organizations can accelerate analytics and AI initiatives with greater speed, less friction, and full confidence in the integrity of their data.
SAP is committed to rapidly expanding this partner ecosystem so that, no matter where enterprise data resides, customers can connect it with trust, governance, and business context.
Why it matters
Together, these announcements reflect SAP’s vision for the intelligent enterprise — where applications don’t just analyze, but act. By combining trusted data, open connectivity, and embedded AI, enterprises can shorten decision cycles, reduce integration complexity, and align intelligence directly with business outcomes.
For organizations operating across hybrid environments and complex data landscapes, these innovations make it easier than ever to turn insights into action and deliver measurable impact.
This week at SAP Connect, customers can experience this vision firsthand through live demos, real-world case studies, and discussions with SAP leaders, partners, and peers. It’s an opportunity to see how SAP Business Data Cloud is redefining decision-making today and shaping the future of the intelligent enterprise.
Irfan Khan is president and chief product officer for SAP Data and Analytics.
SAP Connect: Read the latest news, stories, and coverage from the event
Welcome back to SAP’s Expert Talk! In Part 2 of our series, we explore the business outcomes and strategic advantages of DSM-Firmenich’s successful conversion to a 3-System Landscape (3SL) with SAP S/4HANA Cloud.
If you missed Part 1 on the technical execution, we highly recommend watching it first: https://youtu.be/You_KfwjGq4
Join our host Yannick Peterschmitt as we dive deep into the “why” behind the project with the experts who drove its success:
– Tom Konings, Digital Partner for i-Health at dsm-firmenich
– Calin Cernea, Product Manager, 3SL Conversion Program at SAP
– Dennis Leslie, Program Manager, 3SL Conversion Program at SAP
In this discussion, you’ll learn how the 3SL environment empowers dsm-firmenich to adapt faster, innovate with new features like the Partner Landscape and Parallel Line, and prepare for the future of AI. We also cover the massive efficiency gains achieved using automation tools like the Cloud Integration Automation Service (CIAS) and Test Data Conversion (TDC), which reduced post-conversion tasks from days to hours.
00:00 – Introduction & the strategic value of 3SL
03:00 – Customer perspective: The business case for conversion (dsm-firmenich)
06:40 – New capabilities in 3SL: Parallel line, partner landscape & more
09:30 – Change Management: Preparing your organization for success
11:15 – Automation in action: Gains with CIAS & test data conversion (TDC)
➡️ Ready to start your own transformation? Learn more about SAP S/4HANA Cloud: https://sap.to/6059ApxbV
➡️ Dig deeper into the technical details. Visit our SAP Community pages for how-to guides and resources: https://sap.to/6050Apxbn
WALLDORF and SAN FRANCISCO — SAP (NYSE: SAP) and SmartRecruiters today announced that SAP has entered into an agreement to acquire SmartRecruiters, a leading talent acquisition (TA) software provider.
SmartRecruiters’ deep expertise in high-volume recruiting, recruitment automation and AI-enabled candidate experience and engagement are considered an ideal addition to the SAP SuccessFactors human capital management (HCM) suite. The planned acquisition will strengthen SAP’s all-in-one HCM suite, so customers have the tools they need to attract and retain top talent in an increasingly competitive landscape.
SmartRecruiters’ powerful, user-friendly interfaces and seamless workflows will complement SAP’s robust HR tools – improving decision-making, reducing time-to-hire and providing a better experience for candidates. Embedded analytics and AI-driven recommendations from both companies will provide rich insights into talent pools, hiring bottlenecks and workforce planning.
“Hiring the right people is not just an HR priority – it’s a business priority. With this planned acquisition, we will help our customers attract and hire the best talent so they can advance their talent acquisition agendas with speed and agility, while lowering their total cost of ownership,” said Muhammad Alam, member of the Executive Board of SAP SE, SAP Product & Engineering. “Customers will be able to manage the entire candidate lifecycle — from sourcing and interviewing to onboarding and beyond — all in a single system to streamline the experience for recruiters, hiring managers and, in particular, candidates.”
Customers can expect enhanced and AI-enabled recruiting and hiring capabilities, making applicant tracking and candidate screening more efficient. Data-driven hiring and recruitment analytics will flow directly into SAP’s existing HCM tools, providing a single system of record and harmonized data for compliant, seamless operations. The SmartRecruiters portfolio will also continue to be available standalone for the foreseeable future.
SmartRecruiters’ Software-as-a-Service solutions and platform enable more than 4,000 organizations globally to efficiently manage their hiring workflows end-to-end, offering a compelling experience to recruiters, hiring managers and candidates.
SmartRecruiters CEO Rebecca Carr said, “SmartRecruiters’ mission has always been to make hiring easy. Joining forces with SAP presents a tremendous opportunity for enterprises worldwide to benefit from our industry-leading approach to talent acquisition. I couldn’t be more excited for the opportunity this planned acquisition presents for our customers, partners and employees as we build the future of hiring together.”
The transaction is expected to close in the fourth quarter of 2025, subject to customary closing conditions, including regulatory approvals. Terms of the transaction were not disclosed. J.P. Morgan served as exclusive financial advisor to SmartRecruiters.
SmartRecruiters is the Recruiting AI Company that transforms hiring for the world’s leading enterprises. Built for global scale, SmartRecruiters delivers an AI-powered hiring platform that automates and optimizes the entire talent acquisition process, ensuring faster and smarter hiring decisions. More than 4,000 organizations, including Amazon, Visa, and McDonald’s, rely on SmartRecruiters to build winning teams. For more information, visit www.smartrecruiters.com.
About SAP
As a global leader in enterprise applications and business AI, SAP (NYSE:SAP) stands at the nexus of business and technology. For over 50 years, organizations have trusted SAP to bring out their best by uniting business-critical operations spanning finance, procurement, HR, supply chain, and customer experience. For more information, visit www.sap.com.
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For customers interested in learning more about SAP products: Global Customer Center: +49 180 534-34-24 United States Only: 1 (800) 872-1SAP (1-800-872-1727)
Discover how Mondelēz International—the company behind beloved brands like Cadbury, Milka, and Oreo—is accelerating innovation and driving global growth with SAP Analytics Cloud. Mondelēz replaced manual, spreadsheet-based planning with a unified, automated platform that delivers one version of the truth, boosts forecast accuracy, and empowers over 1,200 users across 80+ countries.
See how SAP Analytics Cloud enables real-time collaboration, reduces monthly forecasting workload by 50%, and provides actionable insights for smarter, faster decision-making. Mondelēz’s focus on digital transformation, sustainable sourcing, and user experience is laying the foundation for future growth and planning excellence.
Learn more about SAP Analytics Cloud: https://sap.to/60504nIqi
0:00 – Introducing Mondelēz & Iconic Brands
0:18 – Innovation & Speed to Market
0:35 – Commitment to Sustainability
0:48 – The Drive for Better Forecasting
1:12 – Transforming Planning with SAP Analytics Cloud
1:25 – Key Benefits: One Version of the Truth & Automation
1:49 – User Experience & Global Adoption
2:09 – Achieving Planning Excellence & Future Evolution
AI is increasingly embedded everywhere in business operations, powering automation, insight, and decision-making across systems and workflows. As part of our ongoing partnership with Google Cloud, SAP is enabling the next wave of enterprise AI by contributing to the new Agent2Agent (A2A) interoperability protocol, which establishes a foundation for AI agents to securely interact and collaborate across platforms.
Boost productivity with the most powerful AI and agents fueled by the context of all your business data
This work is complemented by two additional areas of progress: first, the expansion of Google Gemini models in SAP’s generative AI hub on SAP Business Technology Platform (SAP BTP); second, the use of Google’s video and speech intelligence capabilities to support multimodal retrieval-augmented generation (RAG) for video-based learning and knowledge discovery in SAP products.
Together, these efforts reflect a shared commitment to deliver enterprise-ready AI that is open, flexible, and deeply grounded in business context.
Bringing AI agents together: laying the groundwork for interoperability
The future of work is agentic. Businesses are increasingly deploying AI agents that assist with real tasks — resolving customer issues, managing approvals, and collaborating across business functions. This is why SAP is delivering a collaborative agent architecture with Joule to support cross-functional agentic workflows across SAP Business Suite.
But for these agents to deliver real value, they cannot operate within a single vendor landscape. They must be able to collaborate across various platforms, securely exchange information, and coordinate actions across complex enterprise workflows. This need for seamless interaction underscores why the A2A protocolrepresents a significant step beyond simple API integrations or enhanced tooling.
That’s why SAP has joined Google Cloud and other enterprise leaders as a founding contributor to the new A2A protocol. This open standard is designed to ensure agents from different vendors can interact, share context, and work together—enabling seamless automation across traditionally disconnected systems.
Consider a customer dispute resolution scenario: a representative receives a billing inquiry via Gmail. Instead of toggling between tools, they can invoke Joule directly from the email. Joule, acting as an agent orchestrator, initiates a dispute resolution process, engaging another Google agent that connects to Google BigQuery, where relevant transactional warehouse data resides. Together, the agents validate the issue, retrieve insights, and recommend a resolution — without manual system switching, data reconciliation, or context loss.
This is the kind of cross-platform collaboration the A2A protocol is designed to enable: AI agents working together to accelerate business outcomes, reduce friction, and enable people to focus on more strategic work. It also reinforces SAP’s vision for Joule as an agent orchestrator working across enterprise workflows: interoperable, proactive, and deeply connected to business context.
Expanding access to Google models in generative AI hub
Beyond agent interoperability, SAP is furthering its commitment to openness and flexibility by expanding access to Google models in the generative AI hub, a key capability of the AI Foundation on SAP BTP.
Through the generative AI hub, customers gain enterprise-grade access to a curated portfolio of leading foundation models. That portfolio now includes Google Gemini 2.0 Flash and Flash-lite, which join the existing support for Gemini 1.5 models already available through the hub.
This expanded model choice gives customers the flexibility to build and extend AI-driven solutions using high-performance, low-latency models optimized for enterprise workloads — while staying within SAP’s secure, business context-rich environment.
By combining Google’s model innovation with SAP’s deep understanding of enterprise processes, we enable customers to apply generative AI in ways that are not only powerful, but also practical, trustworthy, and fully aligned with how businesses operate.
Unlocking multimodal understanding with Google Video Intelligence
As part of our continued collaboration with Google Cloud, SAP is also advancing multimodal RAG, a highly requested capability among SAP customers, especially for video-based learning content.
Multimodal RAG enhances information retrieval and generation by integrating multiple data modalities — text, images, audio, and video — into a single, structured process. This approach enriches knowledge sourcing and elevates how users interact with training and support materials.
To address the complexity of extracting meaningful insights from video content, SAP leverages Google Video Intelligence for on-screen text detection across video frames, and Google’s Speech-to-Text API for accurate transcription of spoken audio. During the indexing process, these outputs are stored with corresponding timestamps, creating a structured foundation for retrieving relevant video segments with precision.
By grounding audio and visual content with time-aligned metadata, SAP enables users to search and retrieve specific, contextually relevant moments within a video, making the learning experience more intuitive, accessible, and impactful.
“As agentic AI evolves, seamless handling of multi-modal data — text, voice, enterprise videos, and images — becomes paramount,” said Miku Jha, director of AI/ML and Generative AI at Google Cloud. “This introduces significant challenges for agent interoperability. An open protocol like A2A is therefore indispensable, providing the necessary framework and flexibility for agents to effectively communicate and collaborate across these diverse modalities. Multi-modality is not simply a capability; it is a foundational requirement driving the next generation of interconnected agentic systems.”
This is another example of how SAP is integrating Google’s AI capabilities into business-relevant scenarios, helping customers unlock more value from their unstructured content and elevate the way knowledge is delivered across the enterprise.
Shared vision for business AI
These efforts reflect a broader strategic alignment between SAP and Google Cloud: a shared belief in AI that is open, composable, and grounded in real business context. Whether it’s shaping emerging standards for agent collaboration, providing choice through best-in-class models, or making unstructured content actionable, we are focused on helping our customers innovate with confidence — today and into the future.
To learn more about how SAP and Google Cloud are shaping the future of enterprise AI, visit sap.com/ai and explore our session at Google Cloud Next to see these innovations in action.
Walter Sun is senior vice president and head of AI at SAP.
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