How can AI help make space missions safer and more reliable? Discover how SAP is exploring AI innovation to support spacecraft operations.

In space, every second counts. From monitoring spacecraft systems to identifying potential failures, mission teams must make critical decisions using vast amounts of complex data. Discover how experts from the German Aerospace Center (DLR), SAP, and HPE are exploring how artificial intelligence and cross-industry collaboration can support the future of space exploration.

Bringing business AI innovation to space

Spacecraft generate enormous volumes of telemetry data, making it challenging for mission teams to monitor every system and identify potential issues manually. In this video, discover how SAP is exploring the potential of its tabular foundation model, RPT, to reconstruct missing values in telemetry data from computer systems aboard the Columbus module of the International Space Station (ISS).

By analyzing large volumes of time-series data, AI models can help assess spacecraft health, identify anomalies, investigate potential root causes, and reveal cascading effects across connected systems. These capabilities could help mission teams make faster, more informed decisions and detect potential failures earlier.

Exploring the future of AI-powered spacecraft operations

The future of space exploration depends on collaboration between people, technology, and industry partners. By combining human expertise with AI-powered insights, organizations can explore new possibilities for managing increasingly complex spacecraft operations.

This video highlights how SAP is applying its AI research to mission-critical challenges beyond traditional enterprise environments, demonstrating the potential of data-driven intelligence to support safer, more resilient operations.

Explore SAP Business AI and discover how AI innovation can help organizations turn complex data into actionable insights:
https://sap.to/6057BHLM83

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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/6057BHLM8X

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Three days of #SAPTechEd 2026. So, what can you actually build now?

From new AI capabilities to hands-on learning and a community turning ideas into action, here’s what stood out this week.

Missed a session or want to dive deeper? Catch up with SAP TechEd Virtual on demand: https://sap.to/6051BHWbYt

India is not just one of the world’s fastest-growing economies — it is also one of its most dynamic innovation hubs. Talent, technology, and ambition are driving a new era of growth and transformation.

Stay up to date on SAP News: https://news.sap.com/

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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/6055BG0v3R

How can agentic AI turn business insights into action without sacrificing control? Discover how SAP Integration Suite helps organizations orchestrate AI-driven workflows with governance and oversight built in.

Agentic AI is changing how businesses operate. Beyond analyzing information, AI agents can identify issues, gather context, recommend next steps, and help coordinate actions across systems and teams. But as organizations give AI agents greater responsibility, how can they maintain visibility, accountability, and trust?

In this video, explore how agentic AI helps businesses respond faster to critical events while keeping people in control. See how AI agents can support processes such as identifying potential cash flow risks, analyzing information from multiple systems, and routing recommendations to the right decision-makers. Discover how SAP Integration Suite helps orchestrate interactions between AI agents, applications, events, and business processes, with governance and monitoring integrated into workflows.

Scaling agentic AI requires more than intelligent automation. It requires connected processes, clearly defined business rules, and the ability to monitor how AI-driven decisions and actions unfold. SAP Integration Suite helps organizations coordinate these moving parts so they can accelerate execution without losing visibility or control. The result is an approach to enterprise AI that combines speed with responsible oversight, enabling employees to focus on decisions that matter most.

In this video, you’ll discover:
– How agentic AI turns business insights into coordinated action
– Why AI governance and human oversight matter as agents take on more responsibilities
– How AI agents can support faster responses to financial and operational risks
– How SAP Integration Suite connects agents, applications, events, and business processes
– Why visibility, orchestration, and governance are essential for scaling agentic AI

Explore how SAP AI Agent Hub supports enterprise-wide AI agent governance, visibility, and management: https://sap.to/6059BHVhk1

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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/6057BHVhk3

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Explore the latest SAP Datasphere and SAP Business Data Cloud feature highlights from the August 2026 releases.

In this monthly update, Klaus-Peter Sauer covers what shipped across releases 2026.17 and 2026.18, including navigation improvements, expanded file space capacity, new transformation flow capabilities, smarter data quality handling, and enhanced monitoring for SAP Business Data Cloud tenants.

You’ll see how these updates can help teams manage multi-space architectures more efficiently, gain better visibility into capacity unit consumption, simplify transformation flows on file spaces, and reduce operational effort when working with growing local tables and data quality exceptions.

You will see what is new in:
✅ UI Navigation Changes — Navigate SAP Datasphere with a reorganized sidebar, function-based app grouping, and updated locations for system information and appearance settings.
✅ Copy Spaces and Their Contents — Copy source and consumer spaces together, with cross-space sharing relationships rewired automatically to the copied spaces.
✅ Create up to 20 File Spaces — Build larger multi-domain and multi-space architectures on the object store with an increased file space limit.
✅ Initial Only Load Type for Local Table File Targets — Use initial-only load types in replication flows when writing to local table files from supported object store and other sources.
✅ Enhanced Capacity Unit Monitoring — View resource-specific consumption cards and charts to understand which services are driving capacity unit usage.
✅ Flatten Operator for Transformation Flows on File — Join multiple tables into a single flattened output structure for analytics, machine learning, or downstream processing.
✅ Resolve Erroneous Records with the Data Remediation Table — Capture, review, correct, and reprocess records that fail Python operator validation in transformation flows on file spaces.
✅ Dynamic Range Partitioning — Let SAP Datasphere create new local table partitions automatically as data grows, helping maintain distribution and reduce manual administration.

Chapters:
00:00 – Introduction
00:28 – UI Navigation Changes
01:11 – Copy Spaces and Their Contents
02:36 – Create up to 20 File Spaces
02:55 – Initial Only Load Type for Local Table File Targets
03:33 – Enhanced Capacity Unit Monitoring
04:06 – Flatten Operator for Transformation Flows on File
04:48 – Resolve Erroneous Records with the Data Remediation Table
05:59 – Dynamic Range Partitioning
06:50 – Wrap-Up

• Explore SAP Business Data Cloud:
https://sap.to/6056BG6t6y
• Learn more about SAP Datasphere:
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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/6056BG6t6r

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Lemvigh-Müller, a 180-year-old Danish wholesaler of industrial building material, technical, and steel products, has built an AI use case that reads incoming business documents—automatically and within seconds.

For Lemvigh-Müller, an efficient supply chain isn’t a nice-to-have—it’s the business model. “Our company is low margin, and we are living from a very efficient supply chain,” says Frederik Aakerlund, CIO of Lemvigh-Müller. “We need to cut costs wherever we can, and we need to make sure our customers get our products as quickly as possible.”

Not every business partner connects via EDI (Electronic Data Interchange), the standard for exchanging business documents directly between IT systems. For Lemvigh-Müller, that means a steady stream of orders, delivery notes, and invoices arriving as PDFs and emails—documents that, until recently, had to be read and entered manually.

“Today we are receiving so many PDF files and emails that we don’t have the time to read them,” Aakerlund explains. “Basically, we don’t update our system, or we don’t find the deviations from what we expect, quickly enough.”