Python for SAP Developers: Why Learn Python and How to Get Started with VS Code, Git, and AI Extensions
Python is currently one of the most popular programming languages due to its ease of use, flexibility, and many useful libraries.
Three Journeys That Redefine Logistics in a Disruptive World
The world of logistics is undergoing a profound transformation, driven by volatility, global fragmentation, ongoing supply chain disruptions, and rapid technological change.
Workforce scarcity impacting global logistics operations, logistics corridors becoming tools in geopolitical conflicts, and continuously rising transportation costs all point to the same reality: Future-proofing logistics is no longer a strategic choice, but the critical tipping point that separates those who will rise from those who will fall in an increasingly unforgiving global economy.
Modernizing logistics is no longer about “if” but how fast and how far
Traditional logistics systems were designed primarily for efficiency. Today’s supply chains, however, are more complex and exposed to even more risk, requiring resilience, agility, and smarter decision‑making across warehousing and transportation operations.
Pressure is constant and from multiple directions, including geopolitical tensions, economic volatility, stringent government regulations, and rising customer expectations. The core challenge is no longer reacting to individual disruptions but overcoming constant firefighting. Leaders are seeking a clear path toward a more agile and future‑ready logistics strategy. Two questions sit at the center of this challenge: How fast do logistics operations have to change? And how complex are the operations that must be supported?
Answering these questions starts with examining the technological foundations that power your current logistics operations. Long-standing solutions—such as SAP ERP Central Component modules for logistics execution – warehouse management (LE-WM) and logistics execution – transportation (LE-TRA) as well as SAP Extended Warehouse Management and SAP Transportation Management—have served reliably for decades, yet SAP continues to evolve to serve today’s demands for real-time adaptability and scale.
SAP’s logistics portfolio has supported customers across three decades and continues to evolve with adaptive, cloud-native, AI-driven platforms capable of learning, predicting, and orchestrating logistics processes autonomously, because that is what companies need to compete now and in the future.
The right journey depends on innovation speed, risk tolerance, operational complexity
Future‑proofing logistics ultimately comes down to choosing the right modernization path. Every organization has a unique starting point, depending on how existing solutions have been implemented across the business. To choose the right next step, leaders need to understand the available options, determine what fits with the organization’s appetite for innovation, and assess the transformational impact on the team.
Gartner’s logistics complexity model, breaking down process complexity across five levels, can help when setting a transformation strategy.
Companies operating at levels one to three of Gartner’s model are typically characterized by manual or semi-automated processes, regional distribution, and lower complexity. These companies are best-suited for SaaS-native warehouse and/or transportation solutions that offer the implementation speed of standardized workflows, cloud qualities such as flexible, mobile interface, and advantages from improved scalability and lower TCO.
Organizations at levels four and five require warehouse automation for high volume distribution, multi-modal transportation, and orchestration across multiple ERP systems. These companies seek the benefit of dedicated cloud environments that offer a higher level of adaptation for more control over their operations and their solution landscape.
SAP offers different pathways to help businesses run and modernize across the span of operational complexity. Below are three journeys to guide strategic planning for modernization. Each journey can be aligned to high-level business ambitions, accounting for process complexity, innovation speed, and risk tolerance.
Journey 1: Sustain temporary stability while preparing for modernization
Moving legacy SAP ERP Central Component modules LE-WM and LE-TRA to SAP S/4HANA for stockroom management keeps operations supported until 2040, offering more time to manage your transformation. This journey is about sustaining what works until you need to evolve. It is designed for organizations that need more time to move their decades-old warehousing solution into the future. This approach, rooted in stockroom management, extends the life of a proven system without prematurely forcing change. It is a temporary but intentional holding pattern for conservative logistics strategies based on a firm foundation. Throughout this journey, SAP Logistics Management can be the go-to solution when you are ready to move from stockroom management.
Journey 2a: Modernize logistics in controlled steps
For organizations that know modernization is essential but need to be mindful of organizational change management, this journey offers a stable path. It begins with moving on-premise SAP ERP Central Component modules LE-WM and LE-TRA to SAP S/4HANA Cloud, private edition, with basic warehouse management and transportation management capabilities, creating a modern foundation for future readiness. From there, companies can evolve their processes toward more advanced options as their needs grow (see journey 2b). This journey is best suited to businesses that want flexibility and control in their operations as well as in their change management. This journey also supports deeply integrated logistics that align with the RISE with SAP journey.
Along this journey, if you find that your business complexity is manageable, SAP Logistics Management can even be incorporated as the most modern, AI-native SAP solution for logistics to complement your ongoing operations.
Journey 2b: Move large-scale logistics to the cloud
This journey supports organizations that need to manage highly specific processes, high-automation, and mission-critical logistics execution with one or multiple ERP systems. You can migrate from SAP Extended Warehouse Management and SAP Transportation Management to the cloud with SAP S/4HANA Cloud for advanced extended warehouse and transportation management without losing depth or control. This path can also serve as a second step for advancing operations from basic to advanced SAP S/4HANA Cloud in order to support growing business needs.
Journey 3: The modernization gamechanger for logistics
For innovation leaders ready to sprint ahead of the competition, this journey represents the direct path to the most modern logistics operating model. Companies move from on-premise SAP ERP Central Component modules LE-WM and LE-TRA to AI-native SAP Logistics Management, bringing together cloud delivery, embedded intelligence, and network connectivity in a single solution for warehousing and transportation.
This is the right path for businesses that want to standardize faster, simplify their landscape, and take advantage of continuous innovation. You gain a more connected and adaptive logistics model with built-in AI and a carrier network. Along this journey, you are setting the pace for modern supply chains.
Future of logistics: Cloud-first, AI at the core, modular by design
Logistics is accelerating into a new era, one defined by both efficiency and intelligent adaptability and autonomous orchestration. Embodied in its evolving logistics portfolio, SAP’s strategy offers a clear, flexible, and future-ready path for companies at every level of complexity.
Whether maintaining existing operations, maturing gradually as complexity increases, or leapfrogging to leading-edge capabilities, you can now compose and run your entire logistics operations on SAP. Basic to moderate complexity processes are supported with SAP Logistics Management, and advanced and highly automated business with S/4HANA Cloud EWM and TM. By combining the two, you can design and achieve logistics networks to improve speed, agility, and resilience.
To explore which logistics journey fits your business best, don’t miss our “Future of Supply Chain” conversation with SAP executive Till Dengel: Logistics in the 21st Century: Journey to the Cloud.
Madrid City Council Accelerates the Modernization of Its Internal and Tax Management with SAP
MADRID — SAP SE (NYSE: SAP) today announced that SAP Spain is collaborating with the Madrid City Council on the comprehensive modernization of its internal management through SAP software.
The objective of this collaboration is to digitalize procedures, improve efficiency and deliver better services to municipal employees and citizens in the areas of finance, revenue management and human resources.
The Madrid City Council has been working with SAP software for two decades. It began in 2004 with the implementation of the first solutions in the areas of finance and HR, and in 2020 launched its public administration modernization project with the migration to the private cloud. This process is now advancing further with the adoption of the RISE with SAP journey and SAP Business Technology Platform (SAP BTP). The former is a comprehensive journey that combines the elements needed to migrate to the private cloud under a single contract: SAP S/4HANA, infrastructure and managed services. The latter is the platform for integration, extension and application development.
A New Public Management Model
The adoption of these technologies represents a true revolution in the way municipal procedures are managed, from budgeting, execution and control of revenues and expenditures to the comprehensive management of human resources. This approach makes it possible to move beyond traditional models based on fragmented systems toward unified management with real-time information and digitalized processes.
The transformation has a particularly significant impact in the tax domain, as part of the project includes the integration of tax and revenue management solutions from SAP into the city’s financial platform. This enables municipal revenues to be managed as a natural extension of the financial system, eliminating isolated developments and facilitating an end-to-end view of the full cycle, from taxpayer registration and assessment to collection and inspection. As a result, operational efficiency is improved while strengthening financial control and budget planning capabilities.
Currently, two-thirds of the City Council’s tax revenues are already managed within this environment, including Property Tax (IBI), the Urban Waste Tax for Business Activities (TRUA), Capital Gains Tax (IIVTNU) and the Terrace Tax (T2 2023). The next step will be to incorporate the Motor Vehicle Tax (IVTM) and the Economic Activities Tax (IAE).
The project has been developed using a phased methodology. During the first year, the City Council carried out a cleansing and harmonization of master data from its previous management systems (GIIM and +TIL), cross-checking identities with police databases, tax addresses with the Spanish Tax Agency (AEAT) and addresses with the municipal street registry. This process generated taxpayer “Golden Records” and enabled, for example, an efficiency rate of 98.02% for Property Tax (IBI) in 2024. Data quality continues to be maintained for all new registrations.
According to Juan Corro, IT Manager of Madrid City Council (IAM), “SAP technology offers us an extraordinary opportunity to accelerate our digital transformation and make the vision of a more efficient, innovative and citizen-centric local government a tangible reality. This project marks a paradigm shift: we are moving from managing paper files and isolated systems to managing information and processes in an integrated and intelligent way, with a 360-degree view. As a major capital city, Madrid has both the responsibility and the opportunity to position itself at the forefront of administrative modernization, serving as a benchmark for other municipalities.”
Carlos Lacerda, Senior Vice President and Managing Director of SAP Southern Europe, stated: “SAP remains firmly committed to the Spanish public sector, which we have supported in its modernization processes for decades. This project is a benchmark for advanced digital administration and demonstrates how technology can act as a strategic enabler to simplify processes, integrate information and strengthen real-time data-driven decision-making, laying the foundation for a more agile, innovative and service-oriented public administration.”
Benefits for the Administration and Citizens
The project is delivering benefits both in terms of internal efficiency and management, as well as citizen services:
- End-to-end process digitalization and a “paperless” administration: The “paperless” administration model has been consolidated, enabling the full digitalization of HR processes from start to finish. Requests are managed entirely through the municipal intranet. Internally, public employees can review and approve procedures with full traceability and in just a few steps, reducing processing times and errors caused by duplicate data. The result is a more agile, efficient and nearly 24/7 service that improves both the employee experience and citizen services.
- Operational efficiency and improved decision-making: Automation and AI capabilities integrated into the ERP system allow the City Council to significantly improve efficiency and productivity. Routine processes such as bank reconciliations and budget allocations are automated through rules and machine learning. In addition, the use of robotic process automation and services on SAP BTP facilitates the automatic execution of repetitive tasks across systems. This reduces manual workload, minimizes errors and frees up time. Real-time analytics improve decision-making and, together with mobile and remote access to applications, enable more agile and flexible management.
- A more sustainable and efficient model: The implementation of RISE with SAP enables the City Council to move toward a more sustainable and economically efficient IT model, based on subscription and pay-per-use principles. This approach reduces upfront investments, provides greater budget predictability and optimizes total cost of ownership. By scaling deployments according to municipal needs and paying only for required resources, the city improves responsible management of public funds while generating potential long-term savings.
- Greater adaptability and evolution: The City Council now has a flexible platform ready to evolve alongside technological, regulatory and social changes. The municipality will be able to align with national and European digital agendas, incorporate AI and advanced analytics capabilities, and evolve toward a smart administration model where data becomes a strategic enabler of better public policies.
- Continuous innovation: SAP BTP is the innovation platform that integrates internal systems and third-party solutions, eliminating information silos. It also enables the rapid adoption of new technologies and responsiveness to changing needs and supports the City Council not only in modernizing processes but also in continuously evolving and launching innovative public administration initiatives.
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Media Contact:
Belén Martinez Millán, SAP Spain, +34 91 4567220, belen.martinez@sap.com, CET
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This document contains forward-looking statements, which are predictions, projections, or other statements about future events. These statements are based on current expectations, forecasts, and assumptions that are subject to risks and uncertainties that could cause actual results and outcomes to materially differ. Additional information regarding these risks and uncertainties may be found in our filings with the Securities and Exchange Commission, including but not limited to the risk factors section of SAP’s 2025 Annual Report on Form 20-F.
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A Symphony of Partnership to Ring in the Era of the Autonomous Enterprise
SAP partners attending Partner Summit at SAP Sapphire in Orlando got a sneak peek into a moment in history: the launch of the Autonomous Enterprise.
During our event keynote, I took time to preview this exciting new venture, which was formally announced at SAP Sapphire, alongside our CEO and chairman of the Executive Board, Christian Klein.
We explored how the Autonomous Enterprise is SAP’s new north star and vision. It’s the future of business where AI transforms how people work and processes run.
Building on the Suite-as-a-Service foundation established last year at SAP Sapphire, SAP is reinventing itself for AI-native operations that move customers from point-solution AI to enterprise-wide autonomous operations.
With this launch, we’re also re-framing some of the misconceptions and hesitations that we know our customers have about AI.
AI isn’t technology for technology’s sake; it’s about driving outcomes, like real-time intelligence, automated end-to-end workflows, and continuous improvement—all important aspects that AI can deliver.
SAP partners are SAP’s force multiplier to bring the Autonomous Enterprise to life, expanding reach, credibility, and adoption. To help SAP partners evolve their practices to align with this vision, we also announced significant new investments in the partner ecosystem during the event.
SAP Business AI partner-led adoption program
The Partner Summit at SAP Sapphire in Orlando included the launch of a new offer that funds partners who activate, extend, build, and deploy SAP Business AI for customers. The SAP Business AI partner-led adoption program is a significant opportunity for partners to guide their clients to unlock the potential of SAP Business AI Platform.
At SAP Sapphire, SAP Executive Board Member and Chief Operating Officer Sebastian Steinhaeuser commented on our need to deepen our partner investments: “SAP pledges €100M to our partner ecosystem today to fast forward AI adoption and accelerate our customers path to the Autonomous Enterprise. Partners are able to tap into this fund when they support our customers in the adoption and consumption of SAP-delivered agents as well as by working with them to extend agents and build custom agents on our SAP Business AI Platform.”
The program has four packages:
- Adoption: AI Assistant activated and deployed
- Launch: Joule Studio partner-built custom agent or workflow/pro-code application
- Performance: Joule Studio partner-built custom agent and workflow/pro-code application
- Enterprise: Minimum of three Joule Studio partner-built custom agents and workflow/pro-code application
SAP will actively nominate customers with potential for this program. Partners can also reach out to SAP with their suggestions. If the customer qualifies, SAP will approve the proposed services, and the SAP partner will execute a statement of work with the customer and share the required documentation with SAP for funding.
SAP Business AI and data validated partner program
This new program distinguishes partners that demonstrate a holistic approach to SAP Business AI and data along with deep expertise and close alignment with our SAP Business AI and data strategy. Built on the foundation of the existing Competency Framework for the SAP PartnerEdge program and enhanced by SAP Business AI and data requirements, this designation signals to customers that these partners are capable and genuinely invested in delivering the full promise of the Autonomous Enterprise, including guidance with autonomous domain blueprint adoption and building agentic scenarios on SAP Business AI Platform.
Partner agent race to SAP TechEd
Building on the strong momentum of the partner agent race to SAP Sapphire, in which partners submitted more than 680 agents, SAP is inviting partners to join the next chapter of the program. Partner agent race to SAP TechEd spotlights enterprise-grade, secure, scalable, production‑deployed AI agents in live environments, built on SAP Business AI Platform.
For the partner agent race to SAP TechEd, agents must be:
- Developed with Joule Studio and deployed to SAP Business AI Platform runtime
- Deployed on SAP Business AI Platform using SAP Cloud SDK for AI and AI Foundation
Extensions of SAP-delivered agents must also be created with Joule Studio, and agents that only integrate via direct APIs or integration services for SAP BTP are out of scope for this project. SAP encourages partners to begin preparing eligible agents as soon as the timeline, evaluation criteria, and other details are released in the coming weeks.
End-to-end partner enablement strategy
SAP is introducing a structured enablement path that takes partners from awareness to action. SAP has combined large-scale enablement and market recognition programs to scale the partner ecosystem for the Autonomous Enterprise and SAP Business AI Platform.
The enablement plan includes a deep-dive Autonomous Enterprise curriculum for sales, presales, consultants, and developers. Partners can take advantage of hands-on workshops, regional innovation days in priority markets, and Hack2Build sprints focused on agent-based use cases. Dedicated Autonomous Enterprise and SAP Business AI Platform pages on SAP Partner Portal provide all the information partners need for success, regardless of where they are in their AI journey.
SAP will deepen this enablement strategy with the upcoming “AI era powered by the Autonomous Enterprise” learning, covering SAP Business AI Platform, Joule Studio, and more for learners who want hands-on platform experience. SAP will also host live webinars connecting partners directly to the Autonomous Enterprise narrative, platform strategy, and key commercial updates. Partners can find additional curated learning and enablement content on the Partner Zone at learning.sap.com.
A soundtrack for the future, a symphony of success
Closing out our keynote for Partner Summit at SAP Sapphire in Orlando, we underscored how critical our partners are to this moment.
Our focus is to enable partners to adopt and extend the Autonomous Enterprise and SAP Business AI Platform, accelerating ecosystem‑led growth in support of SAP’s AI‑first strategy. Our goal is ambitious: We want to see every SAP customer enjoy an AI experience with SAP in the next year. Let’s get them on the cloud and toward our vision.
Together, we’ll keep pushing the tempo, layering innovation, and building the soundtrack for the Autonomous Enterprise, ultimately creating a symphony of success for our customers.
Karl Fahrbach is chief partner officer of SAP.
How NEC Is Becoming an AI-Native Enterprise with SAP
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. Artificial intelligence is not just another innovation cycle; it is redefining how organizations operate at their core.
For NEC, this means rethinking not only technology, but also how work gets done, how decisions are made, and how value is created.
In a recent conversation with Thomas Pfiester, head of Customer Engagement & Adoption and member of the Extended Board of SAP SE, NEC CIO Toshihiko Nakata shared how the company is approaching this challenge and why becoming an AI-native enterprise requires more than technology.
AI Is Causing Entry Level Roles to Evolve, Not Vanish—and CHROs Say the Stakes Are Rising
Since the release of ChatGPT as the first large language model in 2022, much of the conversation around AI and the future of work has focused heavily on what automation might eliminate: jobs, tasks, and early-career opportunities.
But new research from SAP and Wakefield* suggests a different reality is emerging. AI isn’t making early talent irrelevant. Instead, it’s accelerating how quickly they become productive, reshaping the earliest stages of work, and raising expectations far earlier in the employee lifecycle.
According to the findings, 88% of CHROs say AI is making early-career talent role-ready faster. This acceleration raises the stakes on both sides. While organizations benefit from faster productivity and earlier impact, early‑career employees are entering roles with heightened expectations and fewer traditional learning buffers—forcing leaders to rethink how success is defined and supported from day one.
AI as an accelerator of readiness
Entry-level roles have long relied on repetitive, lower-stakes tasks that helped new employees learn how work gets done. Today, AI automates much of that foundational execution.
This shift is increasingly common: 79% of surveyed CHROs report that their early-career talent receives enterprise AI tools within their first month on the job. Additionally, 87% expect new hires to be comfortable with AI on day one or learn the tools immediately after joining.
With AI absorbing traditional tasks, early-career talent is stepping into meaningful work sooner—and CHROs are already seeing the impact, with 56% reporting improved confidence and 55% citing increased productivity among those using AI.
This acceleration reflects themes we first explored in the 2025 SAP SuccessFactors Future of Work Predictions report, where we examined how AI might reshape entry‑level roles. As foundational tasks continue to be absorbed by AI, the question becomes not whether early‑career roles will exist, but how organizations can redesign them to build capability in new ways.
When productivity accelerates, expectations follow
As early talent ramps faster, the expectations placed on them are rising just as quickly. Several structural factors are contributing to this shift: organizations are hiring fewer early-career talent, and those who do join are expected to take on more complex work earlier in their tenure. Our upcoming research from our Future of Work Research lab makes this clear, as one research participant summarized, “Entry level roles used to be focused on mundane tasks—what should they do now? They bring an incredibly unique perspective; we want to hire early talent to challenge our norms and help us find better ways of working.”
But with AI removing the mundane work, it may also remove many of the gradual, hands-on learning moments that once helped new hires build experience over time.
With these rising expectations, it’s easy to see how the cognitive load of entry level roles could increase substantially. CHROs report heightened performance pressure and increased mental effort as new hires try to keep pace with AI-accelerated work. Some researchers refer to this dynamic as “AI brain fry,” the cognitive strain that comes from managing rapid, AI-driven workflow.
Together, these shifts create several risks for both employees and organizations:
- Shadow AI use rises: 56%of CHROs say early-career talent turns to unsanctioned AI tools when formal guidance is unclear. This behavior may reflect entry-level hires trying to keep pace rather than intentionally breaking policy.
- Inconsistent enablement creates talent risk: 44% of CHROs say uneven access to AI tools increases attrition risk, especially for early talent who may feel unable to live up to new performance expectations without tools to automate routine tasks.
- Foundational skills may erode: Even as AI boosts productivity, 38%of leaders worry early-career talent are not building long-term skills like communication, critical thinking, judgment, and collaboration. That concern is echoed in qualitative feedback from HR leaders as well. As one noted, “We’ve observed gaps in professionalism in business settings for entry‑level talent, from collaboration and stakeholder management [to] ownership and accountability.”
Rethinking the first step into work
As traditional early‑career learning pathways narrow, organizations must now redesign how those learning moments happen. Our research points to several areas where HR leaders can intentionally strengthen the early-career ramp:
1. Build foundational skill development intentionally.
As repetitive tasks disappear, organizations have the opportunity to deliberately create new ways for early talent to build communication, collaboration, critical thinking, and decision-making skills. This can include structured, project-based experiences, clearer decision-making frameworks, and more frequent coaching that focuses on judgement and prioritization, not just task completion.
2. Design entry-level roles around higher-value work.
Early-career employees are capable of contributing more strategically when roles are designed with the right balance of scope and support. Redesigning entry‑level positions to include clear ownership—supported by explicit expectations, mentoring, and well‑defined guidance for decisions and escalation—helps early‑career talent build confidence while managing risk.
3. Establish AI governance from day one.
Without clear guidance, early talent may struggle to understand how to use AI responsibly. Introducing AI expectations during onboarding, reinforcing role-specific best practices, and normalizing manager-led conversations about AI use can reduce shadow AI and build trust in new technologies early on.
4. Ensure equitable AI access across teams and managers.
As expectations rise, uneven access to AI tools can quietly increase workload pressure and stress for early-career employees. Providing consistent access, training, and enablement helps ensure new hires are equipped to meet accelerated demands without increasing burnout or attrition.
The bottom line
AI isn’t eliminating early-career talent from the workforce; it’s reshaping the path they take to become effective and increasing the value of the work they contribute. While entry-level roles may be fewer, expectations for impact are higher, placing greater importance on pairing AI fluency with strong human skills. For new graduates, developing both will not only help them land a job but also enable them to contribute quickly and build lasting capabilities.
When early‑career talent becomes productive sooner, companies can move faster, innovate earlier, and operate more efficiently, but only if that speed is matched with structure, coaching, and intentional development. Organizations that navigate this transition successfully will ensure early talent doesn’t just ramp up faster, but also builds the judgment, collaboration, and critical‑thinking skills that AI can’t replace.
To stay on top of more upcoming research on the impact of AI on entry-level roles, visit our SAP SuccessFactors Future of Work Research Lab.
Lara Albert is chief marketing officer for SAP SuccessFactors.
*The SAP AI Talent Survey was conducted by Wakefield Research (www.wakefieldresearch.com) among 100 US CHROs (or CPO equivalent) at organizations with a minimum annual revenue of $500m where employees are using AI-enabled tools in their day-to-day responsibilities, between February 19th and March 2nd, 2026, using an email invitation and an online survey.
How Aarini Consulting Builds Scalable AI Apps with SAP Build & CAP on SAP BTP
Enterprises need to adapt fast to changing customer demands, and Aarini Consulting is helping them do just that. In this video, discover how Aarini builds scalable, AI-enabled applications using SAP Build and SAP Cloud Application Programming Model (CAP) on SAP Business Technology Platform.
By adopting SAP Build and CAP, Aarini reduced technical debt, improved developer experience, and accelerated feature releases from quarterly to monthly. The result? Faster go-to-market, better product quality, and happier customers.
Learn how Aarini’s approach enables compliance, security, and integration across SAP and non-SAP systems, while paving the way for AI-driven automation and agentic capabilities.
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AI You Can Trust for Business Decisions | SAP Knowledge Graph
Stop second-guessing AI. SAP Knowledge Graph makes answers accurate and trustworthy.
AI can sound confident, but without context, it can lead to wrong decisions. In this video, see how SAP Knowledge Graph grounds AI in your business data, ensuring every response is relevant, accurate, and explainable.
With Joule and SAP Knowledge Graph, business users move from questions to actions without searching across systems. Analysts explore models faster, and developers access SAP data consistently, spending less time plumbing and more time creating.
SAP Knowledge Graph works behind the scenes, always up to date and maintained by SAP, so you don’t have to. It’s AI you can trust, built on the knowledge of your business.
Learn more about SAP Knowledge Graph: https://sap.to/6057ho6Ac
#SAP #BusinessAI #KnowledgeGraph
Joule Agents: Screen Guide Agent | Demo
Discover how to navigate SAP Signavio without needed in-depth technical expertise or extensive onboarding.
Understand how the Screen Guide Agent can explain any page the user is viewing, highlights what matters, lists available actions, and helps users interpret features in seconds – improving confidence and reducing onboarding effort.
Discover Joule Agents: https://sap.to/6058h4wza
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One of the biggest regulatory overhauls in @Formula1 history? Bring it. @MercedesAMGF1
Nothing says uncertainty like a brand new @Formula1 season with new regulations. It’s unwritten. Unpredictable. 🏁
But the beauty of uncertainty? It brings opportunity. Our response is loud and clear: Bring it. 💪
🤝 @MercedesAMGF1