Laura Marwood speaks with Casey West, a Developer Advocate at Google Cloud, about the realities of building mission‑critical AI applications, how organizations should think about AI adoption, and how the SAP–Google Cloud collaboration has evolved over the years.
It’s about responsible, thoughtful AI adoption — where guardrails, deep problem understanding, and strategic collaboration matter far more than speed or hype.

Learn more: https://url.sap/04aaxk

00:00 – Value over hype
00:49 – Critical thinking vs productivity shortcuts
01:21 – Mission-critical AI, guardrails, enterprise adoption
03:10 – “Fall in love with the problem”

In the age of AI, the most critical leadership skill isn’t technical: it’s human.

As we navigate the uncertainty of the AI revolution, it’s easy for leaders to offer simple reassurances. But dismissing the valid concerns of our teams is a mistake. The truth, as they say, is usually somewhere in the middle.

In this clip from AI Voices, Muizz Bolanji, Director of HR at @danfoss explains perfectly why genuine empathy is non-negotiable for leading through this transformation. We need to meet our people where they are and guide them through the change, not just dictate it from above.

This is a perfect example of how AI is making leadership more human.

Watch the full episode for more on building a future-ready workforce: https://youtu.be/rq5KpbaaZMY#sapsapphire

#AIVoices #SAP #Leadership

Fully connected data. That’s the real power of PLM.

In this short interview, Sarah Niesel from SAP speaks with Felix Finster, Partner at CIDEON Software & Services, about common misconceptions around PLM, and what surprises companies when integration really works.

In this short clip, Peter Vandrey of CIDEON explains why alignment between product data, processes, and clear vision is what really drives success.

🎥 Watch the full interview to learn how Elementaranalyse Systeme GmbH approached their S/4HANA transformation: https://youtu.be/CoquSprC6tY

#SAP #S4HANA #DigitalTransformation #PLM #SAPPartner

What makes an SAP S/4HANA project truly successful? It’s rarely just the technology.

In this interview, Sarah Mei Niesel from Global Product Marketing for PLM Solutions at SAP speaks with Peter Vandrey from CIDEON Software & Services, an SAP partner, about what sets successful SAP S/4HANA transformations apart. Drawing on their experience with Elementaranalyse Systeme GmbH, they discuss why strategic clarity, aligned processes, and structured product data are essential to long-term project success.

You’ll learn why SAP projects often run into challenges when requirements are unclear or product data is inconsistent, and how a strong foundation from day one can help reduce complexity, rework, cost, and time to market. The conversation also explores the role of SAP Engineering Control Center in creating a stable foundation for product data and enabling smoother collaboration between engineering and downstream processes.

Watch to gain practical insights into how companies can build a scalable, future-ready engineering and documentation landscape as part of their SAP S/4HANA transformation.

Listen to the full discussion in the “Inside SAP S/4HANA Cloud” podcast:
🎧 Spotify: https://open.spotify.com/episode/1ZuR0irCBBU6QO7enpP2et
🎧 Apple Podcasts: https://podcasts.apple.com/us/podcast/de-episode-02-sap-engineering-control-center/id1483791349?i=1000764241186

Chapters:
00:00 – What makes an SAP S/4HANA project successful?
00:33 – Why SAP projects rarely fail because of technology
01:08 – Lessons from Elementaranalyse Systeme GmbH
01:53 – The role of SAP Engineering Control Center
02:46 – Why clean product data matters from day one
03:01 – Listen to the full podcast discussion

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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 #S4HANA #DigitalTransformation

We know AI is changing the technology stack. But how is it fundamentally changing the workforce?

We are moving past theWe know AI is changing the technology stack. But how is it fundamentally changing the workforce? We are moving past the buzzwords to focus on the human element of transformation, exploring how organizations can empower their teams and lead through uncertainty.

In Episode 3 of AI Voices, host Jesper Schleimann, SAP’s EMEA AI Officer, sits down with Muizz Bolanji, Director of HR at @danfoss, for a conversation on the future of talent and leadership in the AI era.

Together, they tackle the human reality of the AI transition. They explore the idea that “everybody needs a minor in AI”, and discuss what it takes to build a baseline of AI literacy across an entire organization. Hear a first-hand account of HR’s evolution from a reactive support function to a predictive, strategic enabler, and discover why automating our operational processes actually makes leadership more human.

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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 #FutureOfWork

New month, new capabilities. Get a quick tour of the June 2026 feature highlights across SAP Business Data Cloud and SAP Datasphere.

In this update, Klaus-Peter Sauer covers what shipped in June, including three releases packed with enhancements for data integration, replication flows, transformation flows, automation, monitoring, and system notifications. You’ll also see new ways to connect data sources, simplify ingestion, reduce manual work, and gain better operational control in SAP Datasphere.

You will see what is new in:
✅ Object Store Sources in Replication Flows: Use cloud and file-based sources like Amazon S3, Azure Data Lake Gen2, Google Cloud Storage, SFTP, SAP HANA data lake files, and Microsoft OneLake directly in replication flows.
✅ Oracle as a Source in Replication Flows: Use Oracle as a source in replication flows with initial-only load support and Oracle Wallet Authentication for secure connections.
✅ Snowflake as a Source in Replication Flows: Use Snowflake as a source in replication flows with initial-only load support and Cloud Connector support for private environments.
✅ Cloud Connector Support for Confluent Cloud Connections: Use Cloud Connector to reach Confluent Cloud through a TLS tunnel, even without public endpoints.
✅ SQL View Transform in Transformation Flows on File: Create view transforms on files using Apache Spark SQL, with autocomplete, validation, and data preview in your filespace.
✅ Direct Delta Sharing Client Integration for Transformation Flows: Access Delta Share tables directly in transformation flows, improving performance and reducing storage overhead.
✅ CLI Extensions for Replication Flows and Filespaces: Pause, resume, import, and export replication flow and filespace objects directly from the CLI.
✅ Enhanced Capacity Unit Monitoring: Analyze capacity unit consumption over time and view usage by space, including object store usage and premium outbound integration.
✅ System Notifications: Configure email notifications for replication flows and task chains, with options for success, failure, or both.

Learn more about SAP Datasphere: https://www.sap.com/products/data-cloud/datasphere.html
Join our SAP Datasphere community to stay up to date: https://pages.community.sap.com/topics/datasphere
Check out our product roadmap for SAP Datasphere: https://roadmaps.sap.com/board?PRODUCT=73555000100800002141

Chapters:
00:00 – Intro
00:30 – Object Store Sources in Replication Flows
01:09 – Oracle as a Source in Replication Flows
01:47 – Snowflake as a Source in Replication Flows
02:26 – Cloud Connector Support for Confluent Cloud Connections
02:47 – SQL View Transform in Transformation Flows on File
03:25 – Direct Delta Sharing Client Integration for Transformation Flows
04:00 – CLI Extensions: Pause/Resume and Filespace Import/Export
04:48 – Enhanced Capacity Unit Monitoring
05:37 – Enable System Notifications
06:12 – Summary and Outro

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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

#SAPBusinessDataCloud #SAPDatasphere #BusinessData

What does it take to drive data transformation in a large enterprise?

Malin Persson from Ericsson shares practical advice on for large enterprises: start with what drives the most business value, then work backwards to build the data foundation required to support and scale it.

A grounded perspective from someone leading transformation in a global organization.

Watch the replay: https://events.sap.com/fabric-of-data-and-ai/en_us/home.html?source=social-glo-orgsocial-bdcsurge

#SAPBusinessDataCloud #BDC #DataFabric #AI

Discover what’s new in SAP HANA Cloud Q2 2026 in under 7 minutes.

Join Thomas Hammer, Lead Product Manager of SAP HANA Cloud, as he walks through the key innovations in our Q2 2026 release, including custom database object knowledge graphs, new database object discovery and data retrieval tools, knowledge graph engine innovations, larger SAP HANA Cloud database instances on AWS, deeper SAP AI Core integration, and more.

See how SAP HANA Cloud automatically creates a semantic knowledge graph from your database metadata, making it easier to discover, understand, and query enterprise data. Learn how the new Database Object Discovery and Data Retrieval tools use natural language to identify relevant data, generate SQL, and retrieve results, reducing the need for deep database expertise.

Thomas also explores the latest Knowledge Graph Engine innovations, including support for transforming knowledge graphs into property graphs and federated SPARQL queries across distributed SAP HANA Cloud environments. Together, these capabilities provide a stronger foundation for semantic search, graph analytics, retrieval-augmented generation (RAG), and AI-driven applications.

The release also introduces support for SAP HANA Cloud database instances with up to 24 TB of memory on AWS, helping organizations run larger, mission-critical in-memory workloads. In addition, deeper SAP AI Core integration brings AI-powered predictions and large language model capabilities directly into SQL workflows, making it easier to build intelligent, data-driven applications.

Finally, discover additional innovations, including the new Performance Class Advisor, automated SQL Plan Advisor enhancements, Apache Iceberg REST catalog support for lakehouse scenarios, and replication support for SAP S/4HANA CDS view entities.

Chapters:
0:00 – Intro
0:56 – Custom Database Objects Knowledge Graph
1:25 – Database Object Discovery & Data Retrieval Tools
2:30 – Knowledge Graph Engine Innovations
3:22 – Larger SAP HANA Cloud database instances on AWS
4:06 – Deeper SAP AI Core Integration
5:24 – Further innovations

👉 Join the SAP HANA community to stay connected: https://pages.community.sap.com/topics/hana?source=social-Global-YouTube-No-BTP-SAP_HANA_Cloud-Educate%2FEnable-Product_Information-Video-18272618356&campaigncode=CRM-YA23-SMS-1941768&sprinklrid=18272618356

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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 across finance, procurement, HR, supply chain, and customer experience. Learn more at https://www.sap.com.

#SAPHANACloud #SAPBusinessDataCloud #DataAndAI #WhatsNewInSAPHANACloud

Join SAP’s premier technical event to build what matters. Get hands-on with SAP’s end-to-end platform, learning how to create AI-powered systems that turn intent into execution.

What you can expect:
– Learn how to build AI that moves from intent to execution.
– Discover how to create scalable, secure, and extensible apps.
– Connect with a global developer community to accelerate your impact.

Join us October 27–29, 2026 in Berlin or virtually: https://sap.to/6054BDQ9jr

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LinkedIn: https://sap.to/6055BDQ9jT
Instagram: https://sap.to/6056BDQ9jp
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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/6059BDQ9jX

#SAPTechEd