Why AI makes leadership more human 🤝

Here’s the paradox of the AI era: the more we automate operational tasks, the more profoundly human leadership becomes.

For too long, leadership has been conflated with management, overseeing workflows, tracking progress, and running the operational engine. But AI is poised to take on much of that work, freeing up leaders to do what they were always meant to do: solve complex problems that require nuanced, critical, and uniquely human judgment.

The real work is navigating the leadership dilemmas and strategic challenges that no algorithm can solve. This shift doesn’t diminish the role of a leader; it elevates it.

In this clip, Muizz Bolanji of @danfoss shares his perspective on why this is the most exciting opportunity for leaders today. It’s time to move from managing processes to leading people.

Join the full conversation on SAP AI Voices: Join the full conversation on SAP AI Voices: https://youtu.be/rq5KpbaaZMY

#AIVoices #SAP #Leadership

How Martur Fompak Uses Embodied AI to Automate Warehouse Operations

See how Martur Fompak uses SAP embodied AI, SAP Extended Warehouse Management, and Joule to connect humanoid robots with real-time warehouse processes.

Martur Fompak, a Sapphire Innovation Award winner, partnered with SAP to explore how humanoid robots can support standard warehouse and line-feeding operations. In this video, see how production-line material requests from SAP can guide robots to pick, transport, and sequence materials based on real-time business context.

The use case shows how embodied and agentic AI can help automate physically demanding, repetitive tasks such as locating storage shelves, navigating to the right area, handling materials in confined spaces, and moving goods to a trolley. By connecting robot behavior to SAP business processes, teams can respond more dynamically to changing demand and scale best practices across facilities.

Powered by SAP Extended Warehouse Management, SAP embodied AI, and Joule, the proof of concept helps robots understand why, when, and how to act. The result is a more connected warehouse operation that can improve efficiency, scalability, and worker ergonomics while linking physical execution to downstream business outcomes.

Keep pace with demand with SAP Extended Warehouse Management:
https://www.sap.com/products/scm/extended-warehouse-management.html

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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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Dynamic Planning in the Agentic AI Era: From Insight to Autonomous Action

See how agentic AI can help planning teams move from static cycles to continuous, connected decision-making.

Market signals don’t wait for the next planning cycle. New demand shifts, cost changes, liquidity pressures, and strategic updates can affect business outcomes in real time. To keep up, planning needs to become more adaptive, more connected, and more responsive to change.

In this video, see how SAP solutions for financial planning and analysis use AI agents to support dynamic planning workflows. These agents help sense what’s influencing key KPIs, reason through scenarios with business context, and turn approved plans into action across connected business systems, with human guidance, transparency, and governance built in.

Instead of rebuilding models or reconciling spreadsheet versions, teams can work from one connected plan with trusted data behind every number. The result is faster planning, more confident forecasting, and more time spent driving strategic decisions with the business.

Accelerate confident decision cycles with Financial planning and analysis (FP&A) solutions from SAP: https://www.sap.com/products/financial-management/financial-planning-analysis-fpa.html

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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

#SAP #BusinessAI #Finance

Shine On: SAP CX Celebrates G2 Leadership Across Multiple Categories

SAP Customer Experience has been recognized as a Leader across multiple categories in the G2 SUMMER 2026 Grid® Reports, earning more than 100 Leader badges across the SAP Customer Experience (SAP CX) portfolio.

The results, which are driven by authentic customer feedback, highlight the strength of SAP CX, particularly in the enterprise segment.

“Earning a Leader position in a G2 Report is highly competitive and rooted in verified customer reviews,” said Godard Abel, co-founder and CEO, G2. “Congratulations to SAP Customer Experience for achieving this distinction. Buyers can be confident this ranking reflects the authentic experiences of real users.”

Harmonize your CRM and CX with a single autonomous system—where AI acts on the full truth of your business to power every customer experience

Following are a few standout achievements:

  • SAP Commerce Cloud: Reigned supreme in the commerce space, achieving the coveted #1 Rank in the Enterprise Grid® Report for Order Management. It was also recognized as a Leader for E-Commerce Platforms and Omnichannel Commerce.
  • SAP Sales Cloud: Showcased its versatility and power, earning a Leader position in multiple reports for CRM and Sales Analytics. It secured an impressive #2 Rank in the Enterprise Grid® Report for CRM.
  • SAP Service Cloud: Named a Leader in the highly competitive Enterprise Grid® Report for Help Desk, solidifying its position as a top-tier solution for customer service excellence.
  • SAP Engagement Cloud: Dominated the marketing and engagement space, earning a whopping 51 G2 Summer 2026 badges, including #1 in the Momentum Grid® for Location-Based Marketing and #1 in the Enterprise Grid® for Email Deliverability, up from #3. Also recognized as a Leader in Marketing Automation, Personalization Engines, Customer Journey Analytics, SMS Marketing, and Loyalty Management, with new country reports added across Spain, Italy, and France.

This verified success is powered by pioneering work in agentic AI with Joule, SAP’s generative AI copilot. They’ve moved beyond simple automation to deploy autonomous AI agents that can reason, plan, and act across the entire customer journey.

Customers are enthusiastically adopting these intelligently automated capabilities. The Shopping Agent is transforming keyword searches into conversational discovery and guided purchases, while the Digital Service Agent is autonomously resolving inquiries, improving satisfaction, and reducing contact center load.

The shift to AI-driven engagement is delivering real-world value and simplifying complex processes. Using WalkMe Premium for SAP CX solutions, customers can embed AI-powered guidance directly into workflows, transforming employees into experts. By enabling teams to work smarter and faster across SAP Commerce Cloud, SAP Sales Cloud, SAP Service Cloud, and SAP Engagement Cloud, unlocking the full potential of your SAP investment and delivering the exceptional outcomes that customers demand has never been easier. By automating routine and complex workflows with out-of-the-box AI agents, teams are freed to focus on strategic, high-value customer interactions, driving unprecedented efficiency and loyalty.

G2 SUMMER 2026 Grid® Reports: What SAP CX customers are saying

SAP’s commitment to delivering exceptional customer experiences is reflected in the high praise for SAP Commerce Cloud, SAP Sales Cloud, SAP Service Cloud, and SAP Engagement Cloud. This recognition is a true testament to the trust our customers place in SAP CX when it comes to powering their most critical business functions.

Here’s what users said about SAP Commerce Cloud:

“I like SAP Commerce Cloud’s ability to handle extreme complexity while unifying diverse business models (B2B, B2C, B2B2C) on a single platform. Its unified approach allows us to manage operations on a single technology stack, eliminating data silos, reducing operation costs, and giving us total visibility into our entire supply chain.”

– Suryakant G, Managing Director (Read more on G2)

“The onboarding resources and SAP support ecosystem make implementation easier, while its AI-driven recommendations, search optimization, and customer behavior insights help deliver more personalized experiences and smarter business decisions.”

– Vedant G., Manager (Read more on G2)

Here’s what users said about SAP Sales Cloud:

“What really clicks for me with SAP Sales Cloud is how effortlessly it syncs sales and marketing data in one smart dashboard. It gives me crystal-clear insights into customer behavior and pipeline status, which is pure gold for crafting targeted, automated email campaigns that feel timely and personal.”

– Grecia L., Marketing Automation Specialist (Read more on G2)

“It addresses inefficiency and lack of visibility in the sales cycle. The main benefit is a faster, more predictable revenue stream, supported by AI and real-time data integration.”

– Kuldeep D., Senior Technical Specialist (Read more on G2)

Here’s what users said about SAP Service Cloud:

“I appreciate its automated processes and great SLA tracking, which helps the team to keep track of time and not miss deadlines. I also like the AI replies that enable quick responses by searching through the knowledge base. The automatic ticket routing is a valuable feature as it aids in queue management, ensuring efficient handling of customer issues.”

– Kelvin E., Support Engineer (Read more on G2)

“SAP Service Cloud addresses the challenge of fragmented customer service data by consolidating all interactions and cases into one platform. This gives me clearer visibility into customer history, helps resolve issues more quickly, and supports consistent omnichannel service.”

– Rekha S, Content Creator (Read more on G2)

Here’s what users said about SAP Engagement Cloud:

“I love how SAP Engagement Cloud personalizes campaigns at scale and automates customer journeys using real-time data and AI insights.” (Read more on G2)

Shaping the future of customer experience, together

The G2 leadership awards validate the SAP CX strategy, while investment in agentic AI defines the future.

Users can share feedback on G2 for SAP Commerce Cloud, for SAP Sales Cloud, and for SAP Service Cloud

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SAP CEO Christian Klein: How Do We Turn AI Potential Into Tangible Business Value? ⚡️

SAP CEO Christian Klein shares why delivering meaningful AI outcomes starts with ERP, providing AI with access to the data, processes, and governance logic that power the business. https://sap.to/6055B8mOIL

#AI #ERP #SAPSapphire

SAP Business Data Cloud: Top New Features | SAP Sapphire 2026 Highlights

Get a quick tour of the SAP Sapphire 2026 data and analytics highlights, with practical context on what they mean for enterprise AI.

In this special Sapphire 2026 update, Klaus-Peter Sauer breaks down the major announcements across SAP Business AI Platform, SAP Business Data Cloud, SAP HANA Cloud, Reltio, Joule agents, and BDC Connect. The focus: why enterprise AI needs more than better models. It needs trusted business data, process context, and governance built into the foundation.

You will see what is new in:

✅ SAP Business AI Platform: A unified platform to build, integrate, manage, run, and govern enterprise AI agents, apps, and workflows.
✅ SAP Business Data Cloud as the context layer for AI: The business data fabric that helps agents, applications, and decisions draw from trusted, governed business context.
✅ SAP Knowledge Graph: A structured map of business entities, processes, and relationships across the SAP landscape, helping AI agents navigate business context instead of guessing.
✅ SAP HANA Cloud in SAP Business Data Cloud: SAP HANA Cloud becomes the AI database for SAP Business Data Cloud, supporting transactional, analytical, and multi-model workloads in one engine.
✅ Reltio in SAP Business Data Cloud: Multi-domain master data management, AI-based entity resolution, and golden records across SAP and non-SAP sources.
✅ SAP Master Data Governance in SAP Business Data Cloud: Governance becomes part of the data flow, helping verify and align data products before agents use them.
✅ Joule Agents in the business data fabric: Create data products, planning models, analytics models, and dashboards through natural language.
✅ SAP Analytics Cloud story generation: Joule can use data models and business context to generate dashboards and visualizations automatically.
✅ BDC Connect for Amazon Athena: Planned bidirectional, zero-copy integration between SAP Business Data Cloud and Amazon Athena, expanding the open data ecosystem.

Chapters:
00:04 – Welcome to the Sapphire 2026 Special Edition
00:25 – Why Enterprise AI Needs Business Context
01:03 – Data and Analytics Announcements at Sapphire
01:11 – SAP Business AI Platform
02:10 – SAP Knowledge Graph
02:30 – Where SAP Business Data Cloud Fits
03:08 – Four Major SAP Business Data Cloud Announcements
03:15 – SAP HANA Cloud as the AI Database for BDC
03:58 – Reltio and Master Data Management
05:05 – Joule Agents in the Business Data Fabric
06:17 – BDC Connect for Amazon Athena
07:12 – What Sapphire 2026 Signals for Enterprise AI
07:46 – Summary and Outro

Learn more about SAP Business Data Cloud: https://sap.to/6051B8GLQX
Learn more about SAP Datasphere: https://sap.to/6053B8GLQZ
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Check out our product roadmap for SAP Datasphere: https://sap.to/6056B8GLQj

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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/6055B8GLQl

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SAP at Hannover Messe 2026: Operationalizing Agentic AI to Drive Resilient, End-to-End Manufacturing

Manufacturing is entering a decisive moment. Rising costs, intensifying global competition, expanding regulatory requirements, and the rapid acceleration of agentic artificial intelligence are reshaping how products are designed, planned, produced, delivered, and serviced. Volatility is no longer an exception; it is the operating environment.

To succeed, manufacturers need more than incremental improvements or siloed optimizations. They need to orchestrate their operations end to end with connected processes and trusted data, so they can respond faster to change, operate more efficiently, remain compliant, and continue to grow—even as disruption is constant.

At Hannover Messe 2026, the world’s leading stage for industrial transformation, SAP will introduce a new set of AI‑powered manufacturing and supply chain innovations. These innovations help companies ensure business continuity by orchestrating people, processes, and technology across their extended enterprise, turning volatility into an opportunity for resilience, efficiency, and customer impact.

Build a more agile, resilient, and customer-centric supply chain with AI

From AI insight to AI in execution

For years, manufacturers have invested in analytics and dashboards to improve visibility. But visibility alone does not prevent disruption. What’s required now is AI embedded directly into core business processes, where intelligence can analyze alerts, reason over business impact, and provide real-time solutions to resolve issues. With agentic AI, companies are now able to go a step further: automating the right actions for the best outcomes, with humans remaining in the loop wherever critical decisions are required.

SAP is operationalizing AI at industrial scale by embedding AI agents directly into supply chain and manufacturing workflows and contextualizing them with trusted enterprise and network data. Built on harmonized industrial, transactional, and network data, these agents can move beyond analysis to real‑time prediction and execution, working to deliver resilience, regulatory readiness, and measurable customer impact from day one. Creating tangible ROI is what matters most—whether by reducing unplanned downtimes, scrap, and rework, or by increasing quality and ultimately production output.

Orchestrating the supply chain end to end with AI

At the center of SAP’s focus at Hannover Messe is end-to-end supply chain orchestration with AI.

SAP helps manufacturers connect processes and data not only across internal teams, but also across company boundaries—with suppliers, logistics partners, and service providers. By using AI agents to connect design, planning, procurement, manufacturing, logistics, service, and asset management—and by integrating seamlessly with ERP and line-of-business systems—SAP helps break down silos that slow decision-making and increase operational risk.

This new agentic orchestration is powered and governed by a portfolio of intelligent applications that act, not just analyze, enabling faster, more coordinated responses without sacrificing quality, control, or growth.

New AI agents redefining planning, service, and operations

At Hannover Messe 2026, SAP will showcase AI agents that help manufacturers and operators reduce time to value, stabilize operations, and improve service levels amid ongoing disruption. As a precursor to broader announcements planned for SAP Sapphire, these agents demonstrate how agentic AI delivers practical benefits across all supply chain domains. Here are a few examples:

Manufacturing

  • Production Master Data Agent helps automate and optimize the creation and maintenance of production master data. By leveraging the bill of materials, the agent can generate production routings—including operations and work centers—and help ensure components are correctly assigned across the production process. This helps reduce manual effort, accelerate production setup, and keep production data accurate as requirements change. General availability is planned for Q2 2026.
  • Production Planning and Operations Agent enables planners to release production orders using natural language while automatically validating material availability, capacity, and scheduling constraints. Joule provides recommendations—such as alternative components or rescheduling options—that planners can review and approve, reducing manual work and keeping production aligned with real‑world conditions. General availability is planned for Q2 2026.

Assets & services

  • Field Service Dispatcher Agent can improve service responsiveness and asset uptime by dispatching the right technician based on skills, location, asset condition, and priority—driving faster resolution and better workforce utilization. General availability is planned for Q2 2026.
  • Alert Processing Agent can enrich operational alerts using past incidents, resolutions, and contextual signals and recommend clear, data‑driven actions to help teams resolve issues faster and improve operational reliability. General availability is planned for Q3 2026.
  • Asset Health Agent analyzes time‑series health indicators to assess and summarize the current and projected health of individual and multiple technical objects. By forecasting when assets are likely to become critical and alerting users in real time, the agent supports condition‑based maintenance and helps minimize downtime while ensuring asset availability. General availability is planned for Q3 2026.

AI agents advancing logistics execution

  • Material Reservation Agent helps ensure materials are available when and where needed by automating reservation creation and maintenance based on business rules—reducing delays, improving inventory accuracy, and optimizing working capital. General availability is planned for Q2 2026.
  • Outbound Task Orchestration Agent can protect customer service levels by detecting and resolving picking and packing issues in real time, orchestrating corrective actions to support on‑time, accurate delivery. General availability is planned for Q2 2026.

Aligning workforce, logistics, and assets in real time

Operational resilience also depends on synchronizing people with all other resources as conditions change.

With SAP SuccessFactors Workforce Scheduling, skills, certifications, availability, and labor rules are aligned with real-time operational demand so workforce plans can adjust automatically as production changes.

In logistics, SAP S/4HANA Cloud Public Edition, AI‑assisted backorder processing, together with the new SAP Logistics Management solution, helps organizations reduce transportation costs, accelerate warehouse execution, and improve delivery performance. Using conversational interaction with Joule, order managers can prioritize fulfillment while automatically accounting for availability and scheduling constraints.

Asset and quality operations also benefit from embedded intelligence. AI-assisted anomaly detection and alert processing in SAP Asset Performance Management helps teams identify risks earlier, prioritize actions, and reduce unplanned downtime. In parallel, SAP Document AI can automate the processing of incoming quality certificates, improving throughput, data quality, and compliance at scale.

Regulatory readiness and what’s next

As regulatory requirements tighten, SAP is expanding support for Digital Product Passports as part of SAP Business Network, aligned with the EU’s Ecodesign for Sustainable Products Regulation (ESPR). These capabilities help manufacturers create ESPR‑ready product records capturing environmental impact, material composition, repairability, and recyclability data. General availability is planned for Q2 2026.

Expanded SAP Business Network capabilities also deliver built‑in e‑invoicing compliance and data-residency support, enabling secure partner collaboration, synchronized logistics, and improved delivery performance across global networks.

See it live at Hannover Messe 2026

Taken together, these innovations reflect a shift from reactive management to intelligent execution—where AI is embedded directly into the processes that keep manufacturing and supply chains running today while laying the foundation for the next wave of innovation that will be unveiled at SAP Sapphire.

Visit SAP at booth F08 in Hall 15 at Hannover Messe 2026, April 20–24, to see how AI-infused orchestration, embedded AI agents, and end‑to‑end supply chain applications are redefining manufacturing.


Dominik Metzger is president and chief product officer for SAP Supply Chain Management.

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How Securing On-Premise and Cloud SAP Solutions Differ

The SAP environment is a critical component of an organization’s IT environment. However, infrastructure security cannot be treated in a silo.

Value of External PLM Integration with SAP for Product Data & Supply Chain Efficiency

Disconnected PLM and ERP systems create silos that lead to delays, inconsistencies, and avoidable errors. In this Product Management Q&A, Sean Laughlin (Global Product Marketing Manager) sits down with Pascal Kugler (Product Manager, SAP S/4HANA Private Cloud PLM) to explain how external PLM system integration with SAP S/4HANA helps organizations streamline product data, accelerate supply chain execution, and improve product quality.

If your teams rely on best-of-breed PLM tools like Siemens Teamcenter, PTC Windchill, or Dassault 3DEXPERIENCE, this session breaks down how connecting PLM data directly to SAP creates a more reliable flow of engineering information into ERP. You will learn which data needs to move from PLM to SAP, including material masters, BOMs, document records, change information, and classification, and why accuracy and timing matter for procurement, manufacturing, compliance, and planning.

Pascal also explains how standardized, out-of-the-box SAP integration content can reduce complexity by replacing custom-built interfaces. That means predefined mappings, workflows, and error handling that can shorten implementation time and reduce project risk. The conversation closes with the business value of connecting engineering with supply chain execution, including faster time to market, fewer ECO disruptions, smarter inventory planning, and higher first-time-right production quality.

Chapters
00:00 – Why disconnected PLM creates silos
00:20 – Welcome and what we will cover
01:05 – Why integrate external PLM with SAP S/4HANA
02:02 – Critical PLM data for SAP: BOMs, masters, docs, changes
02:50 – How standardized integration reduces complexity
03:35 – Business value: engineering to execution
04:30 – Why SAP vs custom code or third-party middleware
05:48 – Wrap up and next steps

👉 Explore the latest PLM system integration documentation: https://sap.to/6054B6o6FY
👉 Read SAP’s Strategy on PLM System Integration: https://sap.to/6056B6o6Fm

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#SAP #SAPS4HANA #PLM

SAP to Acquire Reltio: Make SAP and Non-SAP Data AI-Ready

WALLDORF & REDWOOD CITY— SAP SE (NYSE: SAP) and Reltio Inc. today announced that SAP has agreed to acquire Reltio, a leading master data management (MDM) software provider, to help customers make their SAP and non-SAP enterprise data AI-ready. Terms of the deal were not disclosed.

Amplify the value of AI with your most powerful data

Once closed, the acquisition will strengthen SAP Business Data Cloud (SAP BDC)—integral for SAP’s AI-First and Suite-First strategy—and accelerate the evolution of SAP BDC to a fully interoperable enterprise data platform for enterprise-wide agentic AI. It will provide customers with the tools they need to unify, cleanse and harmonize data across sources for superior enterprise-wide agentic AI.

“Reltio is a natural fit with SAP,” said Muhammad Alam, member of the Executive Board of SAP SE, SAP Product & Engineering. “Acquiring them will further improve our position as a leading business AI provider, combining SAP and non-SAP data to deliver data context that business AI requires. AI cannot reach its full potential when data is fragmented across business units, platforms and domains without connection or context.”

By integrating Reltio after closing the acquisition, SAP will make customers’ enterprise data fully AI-ready. Customers will be able to rely on trusted, high-quality data across SAP and non-SAP sources that Joule and Joule Agents use to deliver faster time-to-value for business AI.

Reltio’s platform helps organizations manage and govern structured and unstructured enterprise data from start to finish. Its AI-based entity resolution identifies and merges related records from different formats and applications into one reliable “golden record” system of context. Its cloud-native, AI-first design supports a single, consistent view of customers, products, suppliers, locations and employees across both SAP and non-SAP applications. Customers running AI tasks will benefit from increased reliability and consistency of data, bundled in a single source of truth, improving business AI. With that, customers can trust that AI results are correct, and AI-interactions are resolved fast.

“Joining forces with SAP presents a tremendous opportunity for us to accelerate our mission,” Reltio Founder and CEO Manish Sood said. “Enterprise AI needs trusted context that is open and interoperable across the heterogeneous IT landscapes our customers run. This combination accelerates our ability to deliver Reltio as the system of context across SAP and non-SAP environments, while maintaining continuity for our customers and our partner ecosystem.”

Reltio’s data cleansing, unification capabilities and agent-driven workflows will work alongside SAP Business Suite applications to improve decisions, reduce integration complexity and deliver trusted, consistent data critical for successful business processes and AI use cases. Low latency delivery and support for the Model Context Protocol (MCP) enable real-time, multiagent workflows across SAP and non-SAP environments, allowing AI agents, such as a procurement agent, to assess supplier risk and trigger actions almost instantly using trusted, real-time data. Reltio offers prebuilt, industry-specific “velocity packs” that include data models, rules, matching logic and integrations, and solutions tailored to sectors like life sciences, healthcare and financial services.

By integrating Reltio after closing the acquisition, SAP intends to accelerate its customers’ ability to govern and expose master data as trusted and context-rich data products across multiple sources that serve both traditional analytics workloads and AI agents. Reltio will become a core capability within SAP BDC, with a flexible commercial model where customers can purchase Reltio as a separate solution or with other SAP products. The Reltio portfolio will also remain available as a standalone offering for the foreseeable future.

The transaction is expected to close in Q2 or Q3 of 2026, subject to customary closing conditions, including regulatory approvals.

Visit the SAP News Center. Get SAP news via LinkedIn and Bluesky.

About Reltio

Reltio is a leader in data unification and management, delivering cloud-native, AI-native master data management (MDM) to help enterprises create trusted data and unlock context intelligence for analytics, automation, and agentic AI. Designed for complex, multi-vendor environments, Reltio helps organizations unify, cleanse, harmonize, govern, and activate core data from multiple sources in real time—across SAP and non-SAP systems. The Reltio Data Cloud uses advanced entity resolution, continuous data quality, and relationship intelligence within an intelligent data graph to connect data across systems and reveal the full context behind customers, products, suppliers, and other key business entities. This enables organizations to reduce data friction, improve operational execution, and accelerate time to trusted decisions. For more information, visit www.reltio.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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