What Is SAP Business Data Cloud?
Most organizations running SAP have spent years accumulating data.
SAP Business Data Cloud: Trusted Data for Business AI
See how SAP Business Data Cloud helps preserve business context so AI can deliver smarter, faster decisions.
As AI becomes more central to how every industry operates, data strategies need to evolve. For years, organizations have focused on extracting data into centralized applications and dashboards. But when data loses its business meaning, AI can move fast without the context needed to support good judgment.
SAP Business Data Cloud provides a business data fabric that unifies and governs SAP and third-party data while preserving semantics, business processes, and policies by design. This helps make trusted business context available across the enterprise — not only for analytics, but also for AI agents and intelligent applications.
In this video, learn how SAP Business Data Cloud supports a new approach to data and AI. Instead of spending weeks extracting and transforming data, teams can access governed data products with semantics intact, helping line-of-business leaders analyze profitability, understand performance, and act with greater confidence.
With SAP Business Data Cloud, data and AI become a shared business capability. The result is a foundation that helps organizations preserve business meaning, scale AI responsibly, and drive more impactful decisions.
Chapters:
00:00 – A new era for data and AI
00:16 – Why data context matters
00:51 – The business data fabric
01:03 – Introducing SAP Business Data Cloud
01:19 – Why culture matters for AI at scale
01:35 – Trusted data products in action
01:53 – Preserving business meaning
02:04 – Beyond the data warehouse
02:23 – Data and AI as a shared capability
02:37 – Driving smarter business decisions
Learn more about SAP Business Data Cloud:
https://sap.to/6050B870Kw
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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/6055B870K5
#SAP #BusinessAI #DataCloud
Inside SAP Sapphire 2026: Joule Studio and Autonomous Enterprise | feat. André Bochert
What changed at SAP Sapphire 2026? Explore Joule Studio, SAP Business AI, and the future of enterprise AI.
In this episode of Unlocking SAP BTP, new co-host Maria Radde sits down with André Borchert, Vice President and Head of Product Enablement & Engagement for SAP BTP Build Product Management at SAP, to unpack the biggest takeaways from SAP Sapphire 2026.
Together, they discuss SAP’s vision for the Autonomous Enterprise: where people set the direction and AI helps execute work across end-to-end business processes. André explains why the idea that “AI will replace enterprise software” misses the bigger picture: AI agents need governed data, business rules, approvals, audit trails, and enterprise context to deliver real value at scale.
You’ll also hear how Joule Studio fits into SAP Business AI Platform as a unified environment for building AI agents, applications, and workflows with governance built in from the start. From intent-driven development and SAP Knowledge Graph to VS Code flexibility, managed runtime, and production-ready AI, this conversation connects the dots for developers, business users, and enterprise technology leaders.
In this episode, you’ll learn:
✅ What fundamentally changed at SAP Sapphire 2026
✅ Why “AI will replace enterprise software” is a myth
✅ Where SAP differentiates in enterprise AI: process knowledge, business data, and governance
✅ What SAP Business AI Platform is and how Joule Studio fits in
✅ How Joule Studio supports AI-first, intent-driven development
✅ Why AI agents need enterprise context, auditability, and governed execution
✅ How developers can work with VS Code, GitHub, and their preferred tools
✅ Why moving AI from prototype to production requires managed runtime and governance by design
✅ What Joule Studio means for developers, business users, and the future of SAP BTP
Guest: André Borchert, Vice President and Head of Product Enablement & Engagement, SAP BTP Build Product Management
Host: Maria Radde, Co-host, Unlocking SAP BTP
Chapters
00:00 – Introduction and episode overview
01:37 – Why SAP Sapphire 2026 felt different
03:05 – Is SaaS dead? The AI reality check
04:37 – SAP’s competitive advantage in enterprise AI
05:43 – What is SAP Business AI Platform?
08:52 – What’s behind the scenes in Joule Studio
13:36 – Intent-driven development explained
15:21 – Open tooling, VS Code, and developer flexibility
16:44 – Moving from AI prototypes to production
17:48 – How Joule Studio changes work for developers and business users
19:20 – Key takeaways from SAP Sapphire 2026
21:09 – Closing remarks
• Explore what’s new in SAP Business Technology Platform. 👉
https://help.sap.com/whats-new/cf0cb2cb149647329b5d02aa96303f56?locale=en-US
• Register for upcoming hands-on workshops. 👉 https://discovery-center.cloud.sap/index.html
• Explore the SAP Business Technology Platform roadmap. 👉 https://roadmaps.sap.com/board?range=FIRST-LAST&PRODUCT=42F2E964FAAF1EDA9FF753E17F3000E5#Q3%202024
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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://www.sap.com/index.html
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Cow Milk or AI? The Secret Behind TSG’s Season | Kuhmilch oder KI? Das Geheimnis hinter TSGs Saison
Cow milk, country air, or eight arms? 🤔 Spoiler: It’s SAP. https://sap.to/6054BBjMu0
Kuhmilch, Landluft oder acht Arme? 🤔 Spoiler: Es ist SAP. https://sap.to/6054BBjMu0
@TSGHoffenheim1899 #SAPSportsOne #SAP
Black Horse One Merged Tradition with Technology to Transform Equestrian Events
With roots in ancient Greece and an Olympic history that dates to 1912, equestrian sports are steeped in tradition. Take dressage, which the Fédération Équestre Internationale (FEI) describes as the “ultimate expression of horse training and elegance,” a complex sport where human and equine athletes compete at events all over the world, evaluated by judges and spectators in an array of categories that prize beauty, grace, and tradition.
Bringing a sport like dressage into the digital age would be no small feat, but that is precisely the challenge Black Horse One undertook in 2016.
Partnering with SAP, Black Horse One CEO Daniel Göhlen and his team of 12 brought a quiet digital revolution to the paper-based, tradition-bound world of equestrian sports—introducing digital scoring systems, streamlining event operations, and facilitating fan engagement—that supported and enhanced the experience of trainers, athletes, judges, federations, event managers, and fans all over the world.
However, Black Horse One saw room for even more innovation in equestrian sports, particularly in addressing the operational challenges of equestrian event management and the untapped potential of the industry’s heavily siloed data.
Digital transformation unlocks boundless potential
With its “consistency, affordability, and proven reliability,” SAP quickly became mission-critical for Black Horse One. Building on that success, Göhlen turned to SAP Business Technology Platform (SAP BTP) to bring the company’s next vision to life—a digital event management system designed to transform how equestrian competitions are run. The new system delivers real-time, end-to-end oversight and streamlines every workflow, giving “show organizers and national federations a 360-degree software” that has cut event preparation time in half.
The industry quickly took note, and Black Horse One went from 100 equestrian shows a year in 15 countries to around 300 in 32 countries and from 50,000 unique users per month to as many as 3 million—an exponential increase in operations that the company supports with the same small team.
Further digitization of processes and information has helped Black Horse One dismantle the data silos that challenge many industries, especially one as rooted in tradition as equestrian sports. Data pours in from multiple sources: national federations maintain separate records for each horse, judges and audiences submit marks in real time, and organizers update competition systems on the fly. Every change must be reflected instantly, not only to maintain accurate results but also to meet fans’ expectations for real-time updates.
Göhlen, himself a former equestrian athlete, explains that many seasoned trainers and riders struggle to capture and pass on their hard-earned expertise and knowledge built over decades in the arena. A platform that enables real-time recording and sharing of performance data, scoring insights, and training techniques across a global, always-on network is transforming how the dressage community preserves and transmits its know-how.
And, in a sport where animal welfare is paramount, continued technological advancement offers additional layers of information and accountability when it comes to tracking and monitoring horses, which, Göhlen hopes, will continue to equate to happier, healthier equine athletes.
Leveraging AI in a world of tradition
Black Horse One continues to take a storied sport across new technological frontiers, leveraging SAP BTP to help bring artificial intelligence (AI) into its offerings. The company is already using AI to analyze performance data and biomechanical metrics, delivering personalized training and technique insights. It can even generate AI announcers when human ones aren’t available. Göhlen notes that Black Horse One is still in the early stages of exploring the “tremendous” potential of AI—using it to support and advance equestrian sport in ways that are not only exciting but also wise and effective.
Göhlen himself offers sage advice when it comes to assuaging stakeholders’ fears around digital transformation and AI in particular: “People really need to see that the technology supports them rather than replaces them.”
Real and sustainable innovation
Black Horse One’s remarkable story of leveraging technology to transform an age-old sport demonstrates that there is no company too small or industry too niche to benefit from digital transformation.
For those looking to embark on a similar journey, Göhlen has advice: first, start with the pain points, “where processes are currently inefficient or fragmented,” and then find the technology to ensure meaningful innovation. Second, Göhlen advises companies to earn and keep their customers’ trust. “In many of our mission-critical settings, if we make a mistake, we can’t undo it. So, make sure that you choose your technology wisely,” he says.
Finally, and most crucially, remember that innovation is a process, not a destination. “Never stop learning,” Göhlen says. “Each project should push you and your team to grow technically and strategically. This is how innovation stays real and sustainable.”
For the full Black Horse One episode and the on-demand Better Together: Customer Conversations series, visit here.
The full episode
Learn more about how Black Horse One brought digital transformation to the tradition-bound world of equestrian sports.
- Thought leadership podcast: Göhlen, CEO of Black Horse One, talks with Tamara McCleary, CEO of Thulium, to share his motivation and journey merging tradition with technology to transform equestrian events, improving the sport and the sporting experience for athletes and audiences and winning over even the most traditional participants.
- Practitioners’ video: Göhlen talks with me about what it took and the technologies that have resulted in a suite of applications that revolutionized the dressage world.
To access the whole series, on demand, visit here.
Do you have ideas for topics or technologies we should cover, or would you like to be a guest on the show? We want to hear from you, just e-mail us.
Timo Elliottis vice president and global innovation advocate for SAP BTP at SAP.
How SAP Runs SAP in 2 Miles 🏃🏽♀️💨
From travel bookings to people planning, here’s how we use our own tech to run smarter every day.
People ➡️ SAP SuccessFactors
Finance and Ops ➡️ SAP Cloud ERP and SAP Business Technology Platform
Travel and Expense ➡️ SAP Concur
Operations ➡️ SAP Ariba and SAP Integrated Business Planning
Impact ➡️ SAP Sustainability Control Tower
👋 Hi, we’re SAP, the global leader in enterprise applications and business AI. Get to know us: https://sap.to/60507cdrk
Demo: Data Product Studio in SAP Business Data Cloud | Data, Governance & AI | SAP TechEd 2025
See how SAP Business Data Cloud and the new Data Product Studio turn siloed data into governed, reusable products for analytics and AI.
In this SAP TechEd demo, we show how to move from scattered sources to business-ready data products on SAP Business Technology Platform (SAP BTP). You’ll see how teams connect SAP and non-SAP data, define a semantic model, and publish governed assets that downstream analytics, apps, and agents can trust.
New this year, we highlight Data Product Studio in SAP Business Data Cloud (SAP BDC) – a single workspace to create, model, version, and manage data products with visual tools and SQL-based transformations, including lineage and lifecycle controls. This makes it easier to harmonize SAP and non-SAP data and maintain consistent definitions across your business data fabric. We also touch on SAP Snowflake as a solution extension for SAP BDC, giving customers additional flexibility in compute and storage, and on BDC Connect for Snowflake for bi-directional, zero-copy data and metadata sharing—so you can extend your governed fabric to where your data already lives. Finally, we show data sharing between SAP BDC and SAP HANA Cloud, enabling reuse of existing objects (like SAP HANA calculation views) while preserving KPIs and governance across transactional and analytical workloads.
Whether you’re a data engineer, analytics lead, or platform owner, this demo offers a pragmatic path to trusted, reusable data products that accelerate AI and analytics – keeping your core clean, your controls intact, and your teams focused on measurable outcomes.
Speaker: Sabrina Pfeffer, Demo Expert, SAP
00:02 – Sales manager checks 2025 pipeline in Joule → open Revenue Pipeline app
00:54 – Data analyst in Business Data Cloud: browse SAP-managed products → SAP BW/HANA generator
02:41 – Data Product Studio: combine SAP S/4HANA, SAP BW, Snowflake, SAP ECC → build derived data product
03:22 – Share to SAP HANA Cloud (zero copy) → analyze data → predict with SAP-RPT-1 via AI Foundation
05:29 – Expose prediction to Joule Agents → dashboard shows top 5 inquiries → wrap-up
Watch all SAP TechEd replays: https://sap.to/605773UuS
Explore SAP Business Data Cloud: https://sap.to/605873Uus
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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/605373Uux
#SAP #DataAndAnalytics #TechEd
SAP Scales AI-Integrated Instant Resolution and Self-Service for Customer Support
In today’s always-on, digital-first world, customers expect answers now, not “within 16 business hours.” While great support requires human empathy, some issues can be resolved with human-generated knowledge at first contact. This is where instant resolution and self-service tools come in. These tools play a crucial role in building fast, scalable, and modern customer support experiences.
As the first step in a much broader playbook toward a next-gen, agentic case resolution workflow, SAP is launching instant resolution and self-service tools to help make support smarter and more proactive. How do these offerings help in real-world support scenarios?
AI-accelerated instant resolution
Imagine a customer submits a routine ticket about a known error during a routine update. Instead of waiting in a queue, the customer gets an instant response from a specifically trained AI agent with a direct link to a relevant SAP Note or SAP Knowledge Base Article. It’s accurate, contextual, and fast. What’s more, it can reduce ticket volume and free up engineers to handle more complex or urgent problems. As a result, the customer resolves their issue in minutes with no back-and-forth or productivity loss.
Take another example of a user uploading logs after encountering a defect. An instant resolution tool like a smart log analyzer can review the data, immediately flag the root issue, and respond to the user with a link to the fix. What you get is near-instant technical diagnostics and zero-escalation resolution.
Instant resolution has clear, real-world benefits in customer support: faster answers, fewer escalations, and a better experience for users. But beyond the promise of speed and convenience, how effective is it really? What does the data tell us about the quality and reliability of AI-driven support at SAP?
Let’s take a look at a few metrics that shed light on the performance of our Auto Response Agent and the value it can deliver.
Agentic AI turns support from reactive to action-oriented, dramatically reducing time-to-resolution while enhancing accuracy. For example, the confidence rate of SAP’s Auto Response Agent is at 80%. In other words, to avoid wasting the customer’s time, this agent can deliver highly relevant solutions with a confidence score of 80%. This is a strong indicator of the quality our AI agents can offer.
First contact resolution (FCR) is a general customer service KPI and indicates that the case is closed after the first interaction either with humans or with AI agents. The FCR rate for cases that are answered automatically by SAP’s new Auto Response Agent is currently at 40%. This is in line with what human interactions achieve.
AI-enabled self-service
Before AI, self-service in customer support was mostly static and manual, like FAQs, basic help articles, and keyword-based search. While these knowledge base articles are extremely helpful, customers had to dig through generic content, hoping to find something relevant, often with little guidance or context. There was no personalization, no real-time assistance, and limited ability to troubleshoot complex issues on their own. It worked for simple problems but often left users turning to human support for detailed answers.
Instead of prompting users to search through static FAQs or documentation, AI dynamically surfaces the most relevant knowledge base articles, fixes, or guided workflows based on issue context, behavior, and history. Instead of a manual hunt, customers can take advantage of an intelligent, conversational experience—often resolving issues before a ticket is even needed. The result? Fewer support cases, faster resolutions, and more empowered customers.
Thanks to SAP’s AI-integrated self-service offerings, we’re able to instantly resolve customer issues four out of the five times they come to us. Structured knowledge and content allows us to build AI and AI agents with high confidence levels. Currently, SAP’s customer support addresses over 82% of issues via self-service.
AI and the evolving role of human expertise
This move to augment auto response with AI isn’t about replacing people. It’s about freeing up people so that they can focus on high-impact tasks that need creative thinking and human insight. SAP’s instant response and resolution are only activated when the system is very confident with its response. Our commitment to the relevant, reliable, and responsible use of AI ensures that there’s no experimentation with customer cases that deserve hands-on attention from engineers and experts.
The road ahead
We move forward with a clear goal to achieve a support system that is faster, smarter, and more human because of its intelligent use of AI, not in spite of it. By augmenting first-touch support with agentic AI, SAP has a blueprint for handling simple and complex issues at all levels of enterprise support.
Stefan Steinle is executive vice president and head of Customer Support & Cloud Lifecycle Management at SAP.
Keynote Highlights: Accelerate Value Across SAP Business Suite in 6 Minutes | SAP Connect
See the biggest moments from #SAPConnect 2025 – where SAP leaders and customers show how AI, data, and innovation turn bold ideas into measurable results.
In this highlight reel from the second SAP Connect keynote, we go beyond vision to execution – demonstrating how SAP Business Suite empowers organizations to move faster, connect smarter, and transform with confidence.
00:00 – Welcome & From Vision to Execution
01:20 – Anja Schneider on Turning Strategy into Impact
03:00 – Todd Inlander, Southern California Edison – Customer Perspective
05:15 – Sebastian Steinhaeuser and Irfan Khan on Data and AI in Action
07:10 – Michael Ameling on Extending and Automating with BTP
09:00 – Brenda Bown and Etosha Thurman on AI-Native Innovation in CX and Finance
11:10 – Hagen Heubach and Jessica Keehn on Connected Experience and Brand Momentum
12:45 – Closing Message – Seizing the Opportunities of Tomorrow
Anja Schneider opens the keynote by emphasizing SAP’s partnership-driven approach – helping customers turn potential into performance. She’s joined by Todd Inlander, CIO of Southern California Edison, who shares how SAP solutions help build agility and sustainability at scale.
From there, SAP leaders Sebastian Steinhaeuser, Irfan Khan, Michael Ameling, and Brenda Bown highlight how AI, data, and SAP Business Technology Platform connect every process and decision across the enterprise. Together, they illustrate how companies can extend, integrate, automate, and innovate on a unified foundation to deliver faster outcomes and greater resilience.
Marketing leaders Etosha Thurman, Hagen Heubach, and Jessica Keehn then showcase how AI-native applications reimagine customer experience, finance, and spend management—demonstrating how data-driven insight and human creativity combine to accelerate growth.
These highlights capture SAP’s core message: that business transformation happens when AI and data work together in one suite — where every decision is connected, every process is intelligent, and every idea can be turned into action. With SAP Business AI and SAP Business Suite, enterprises can innovate continuously and move with clarity in a changing world.
Watch the full Central Keynote: https://youtu.be/tMdKPzPvRtg
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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/6057As69z
#SAPConnect #SAPBusinessSuite #AI
Think You Know SAP? 🧐
Watch, guess, and see if you can beat the experts! https://sap.to/6056famYw
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