Go all-in on AI. Join us in person or online. #SAPSapphire
AI is changing the way businesses run, and it’s all happening at #SAPSapphire. Join us in person or online. https://sap.to/6054hAXCq
Unify SAP and Non-SAP Data | SAP Datasphere in SAP Business Data Cloud
Stop chasing data across silos. Unify SAP and non-SAP data, with business context intact, to accelerate insights and AI.
SAP Datasphere in SAP Business Data Cloud is a fully managed SaaS solution built to help data professionals deliver business-ready, trusted data faster. It brings SAP and third-party data together in a single view while preserving the business context and logic that make insights reliable, so teams can make faster, more confident decisions.
With capabilities for data integration, cataloging, semantic modeling, and virtualization, SAP Datasphere helps simplify complex hybrid and cloud landscapes. Search across your data catalog, trace lineage, and use knowledge-graph-driven relationships to understand how information connects, so the data powering analytics and AI is grounded in trusted context.
When building something like a cash flow forecast, SAP Datasphere makes it easier to combine SAP data with non-SAP and partner ecosystem data for deeper insights, while keeping governance and context intact. And because not all data needs to move, you can choose when to replicate for performance and when to virtualize to keep data fresh – reducing duplication and risk.
Chapters:
00:00 – SAP Datasphere in SAP Business Data Cloud overview
00:19 – Unify SAP + non-SAP data with business context
00:40 – Catalog search, lineage, and knowledge graph discovery
00:57 – Enrich with partner ecosystem data (cash flow example)
01:25 – Replicate or virtualize across hybrid + cloud
01:47 – Wrap-up: trusted data to accelerate insights and AI
Learn more about SAP Datasphere in SAP Business Data Cloud 👉 https://sap.to/6058h4kio
#SAPDatasphere #SAPBusinessDataCloud #DataFabric
SAP Datasphere & SAP Business Data Cloud: Top New Features | February 2026
Learn about the feature highlights in February 2026 with SAP Datasphere and SAP Business Data Cloud!
We delivered two new releases this month, so let’s check out the top features presented by Klaus-Peter Sauer:
00:30 Data Pipeline Analyzer
01:17 Task Chain Output Parameter
01:42 Transformation Flow Object Versioning
02:18 Local Table (Files) Delete Inbound Buffer
02:56 Visibility of Data Access Controls Applied to Sources
03:18 Sharing of Analytic Models
03:49 SAP Analytics Cloud Feature Highlights QRC1 2026
04:29 Summary and outro
Learn more about SAP Datasphere: https://www.sap.com/products/technology-platform/datasphere.html
Join our SAP Datasphere community to stay up to date: https://community.sap.com/topics/datasphere
Check out our product roadmap for SAP Datasphere: https://roadmaps.sap.com/board?PRODUCT=73555000100800002141
#SAPDatasphere #DataFabric #BusinessAI
Why Customer-Specific AI Will Define the Next Era of the Automotive Ecosystem
The automotive industry has always been a bellwether for technological change. From mass production to lean manufacturing, from embedded software to connected vehicles, each wave of innovation has reshaped not just cars but entire ecosystems. Today, artificial intelligence is doing the same—quietly, decisively, and at scale. While much of the public conversation around AI in automotive focuses on autonomous driving or in-car experiences, the real transformation is unfolding behind the scenes, in how vehicles are designed, launched, serviced, and sustained over their lifecycle.
According to industry estimates, auto executives expect AI to boost product value by 22% and digital service value by 37% within three years. As vehicle portfolios expand—electric, hybrid, software-defined, and increasingly customized—the operational complexity for automakers and suppliers has risen sharply. Nowhere is this more evident than in service parts management and new product introduction (NPI).
Service parts planners sit at the intersection of engineering, supply chain, manufacturing, and customer service. Their task is deceptively simple: ensure the right parts are available at the right time and place across a vehicle’s lifecycle. In reality, they grapple with fragmented data, limited inventory visibility, unpredictable demand signals, and compressed timelines—especially as new models and components are introduced at unprecedented speed. High data quality, tight orchestration across systems, and rapid decision-making are no longer nice to have, they are business-critical.
This is where customer-specific AI becomes transformative. Instead of treating NPI as a linear, manual, and reactive process, AI agents can fundamentally reimagine how service parts planning is executed. By embedding AI directly into the planning workflow, service parts planners are supported—not replaced—by intelligent systems that operate with full contextual awareness. These AI agents can monitor real-time data across inventories, supplier readiness, historical demand patterns, external risk factors, and engineering changes, as well as orchestrate the NPI process end to end.
In practice, this means planners move from firefighting to foresight. AI agents can automate sequential NPI steps, flag potential bottlenecks before they materialize, and dynamically adjust plans as conditions change. A single, unified dashboard provides transparency across the entire process, while built-in what-if simulations allow planners to test scenarios—supplier delays, demand spikes, geopolitical disruptions—before decisions are locked in. Crucially, humans remain firmly in control. AI augments judgment, improves speed, and enhances confidence, rather than operating in a silo.
Platforms like SAP Business Technology Platform (SAP BTP), combined with Joule and the agent builder capability in Joule Studio, can enable this multi-agent approach at enterprise scale. By integrating AI seamlessly with core business processes, automakers can ensure that intelligence flows across functions, rather than being trapped in silos. The result is not just automation, but orchestration—where systems, data, and people work in concert.
The impact is tangible. Automakers can significantly reduce planning cycle times and improve time-to-market for new products. Planning risk is lowered through continuous what-if analysis that incorporates both internal and external variables. Service readiness improves, ensuring that customers experience continuity and reliability even as product complexity increases. At an ecosystem level, this translates into greater resilience, lower costs, and higher customer satisfaction.
More broadly, this use case points to a shift in how we should think about customer-specific AI in automotive. The future will not be defined solely by smarter vehicles, but by smarter enterprises—where AI agents support decision-making across the value chain, from product inception to end-of-life service. In an industry under pressure to innovate faster, operate leaner, and remain sustainable, AI-driven operations are fast becoming a competitive necessity. The automotive ecosystem is evolving. Those who embrace AI not just as a technology but as a new operating model will be best positioned to lead it.
Sindhu Gangadharan is head of Customer Innovation Services and managing director for SAP Labs India.
Behind the scenes of the big game at Levi’s Stadium 🏈
When the world is watching, Levi’s Stadium relies on SAP to run game day operations. https://sap.to/6054hyOls
@49ers #levisstadium #football
5 Things You Should Know About the Transportation Planning with SAP Rheinwerk Courses Series
In this blog post, learn about our upcoming Rheinwerk Course entitled Transportation Planning with SAP: Mastering Transportation Modes, Settings, and the TM Optimizer from the course instructor, Anton Karnaukhov.
3 Keys to Business Transformation That Sticks | Matt Wilkinson
Transformation doesn’t have to feel chaotic.
Matt Wilkinson shares three practical steps — focused on process, leadership, and ownership — to lead change with clarity.
Learn more about SAP Signavio: https://sap.to/6058Cr8QE
Get the Business Transformation Playbook: https://sap.to/6050Cr8QG
🎧 More episodes of the Trending Chats podcast:
Watch on YouTube: https://sap.to/6051Cr8QH
Listen on Spotify: https://sap.to/6052Cr8Qy
Listen on Apple Podcasts: https://sap.to/6054Cr8QK
#TrendingChats #SAPSignavio #BusinessTransformationManagement
Contract Settlement in SAP S/4HANA
Once you have created a contract in SAP S/4HANA, you should review the details.
Developer Demo: ABAP in VS Code | Debug, Run & Go Full-Stack with SAP | SAP TechEd 2025
See ABAP development in VS Code – create, activate, run, and debug with a live backend, then jump to CAP & Fiori in one IDE.
In this SAP TechEd demo, we bring ABAP development to VS Code with a live connection to your backend system. You’ll see smooth navigation across classes and CDS artifacts, quick object creation from the command palette, and an end-to-end loop—code → activate → run – right from the editor.
We step through real debugging (breakpoints, variables, call stack, watch points) so you can inspect tables and state without leaving your flow. Then we zoom out to the full-stack experience: work on your CAP services and Fiori annotations alongside ABAP in the same IDE. The result is a streamlined developer workflow that keeps your core clean while accelerating delivery across the stack.
Whether you’re modernizing custom code or building new extensions, this session shows how VS Code unifies your day-to-day dev work—so you can ship faster with the guardrails enterprises need.
Speaker: Rich Heilman, Developer Advocate, SAP
00:02 – Start simple: VS Code + live ABAP backend
00:26 – Create class from command palette (ZCL_AGENCIES)
00:51 – Add code, save & activate; run in console
01:20 – Debugging: breakpoints, variables & call stack
01:49 – One IDE: jump to CAP & Fiori annotations
Watch all SAP TechEd replays: https://sap.to/60567O6XO
Explore SAP developer tools on SAP BTP → https://sap.to/60577O6XP
Follow us on social:
LinkedIn: https://sap.to/60587O6Xu
Instagram: https://sap.to/60597O6XR
Facebook: https://sap.to/60507O6Xr
Threads: https://sap.to/60517O6XT
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/60537O6XV
#SAPTechEd #ABAP #VSCode
SAP Business Suite Vision with Manoj Swaminathan | Inside SAP S/4HANA Cloud
Join host Yannick Peterschmitt for a special video edition of Inside SAP S/4HANA Cloud podcast, celebrating six years of insights and innovation. In this milestone episode, Manoj Swaminathan, General Manager and Chief Product Officer for Business Suite Finance and Spend at SAP, shares his personal journey, the evolution of SAP Business Suite, and what it means for Cloud ERP customers.
Discover how SAP is transforming enterprise operations with harmonized applications, integrated data, and intelligent automation. Manoj breaks down the future of business processes, the role of AI-powered agents, and how customers can unlock real value through end-to-end solutions.
01:21 – Manoj Swaminathan’s SAP Journey
05:59 – What is the SAP Business Suite?
09:40 – Real-world impact & AI-driven decisions
13:45 – Agentic AI & role-based automation
17:00 – SAP Connect highlights & future outlook
21:50 – End-to-End experience
26:30 – Cloud mindset & clean core philosophy
📺 Watch now or listen on your favorite platform.
SAP Podcasts: https://sap.to/6053787JJ
Spotify: https://sap.to/6055787Jz
Apple Podcasts: https://sap.to/6057787J3
#SAPCloudERP #S4HANA #SAPBusinessSuite
