Announced today at #SAPSapphire, SAP and Amazon Web Services (AWS) are building on their long-standing partnership to build SAP Business Data Cloud Connect for Amazon Athena. This new offering will provide bi-directional zero-copy integration between Amazon Athena and SAP BDC, allowing customers to unlock the true potential of data and AI: ✅ Create a single, trusted foundation for all business data (SAP and beyond) ✅ Get AI up and running faster with ready-to-use business data ✅ Build intelligent applications and agents powered by the business data that matters most ✅ Fast-track insights and innovation with self-service analytics that reduce time-to-insight from weeks to hours Learn more: https://sap.to/6047BBsZnD
One of the underappreciated aspects of robotics deployment may be that the long-run economic value increasingly shifts away from hardware itself and toward orchestration, operational coordination, and infrastructure integration layers. As embodied AI systems mature, the ability to integrate robotics, predictive maintenance, logistics, cloud orchestration, and real-time operational intelligence into coherent ecosystems may become more strategically important than robotics hardware alone.
DiscoverMSPs
2w
Strong collaboration between SAP and Amazon Web Services. The bi-directional integration with Amazon Athena looks like a solid step toward making enterprise data more accessible and actionable across platforms. Excited to see how this improves analytics efficiency and speeds up decision-making for customers.
SyntaAI
6d
Great direction bringing SAP and Athena together on AWS removes the data movement that usually slows AI down. As agents start acting on that data, access governance and SoD become the trust layer that makes it safe to scale.
RankNova
2w
Interesting direction — trusted and connected business data is becoming one of the biggest advantages for scalable AI adoption. AI systems are only as valuable as the quality and accessibility of the underlying data. Integrations like this can significantly reduce the gap between enterprise data and practical AI applications. The focus on faster insights and AI-ready data foundations is especially important as more businesses move toward intelligent automation and AI agents.
Great to see SAP and AWS pushing zero-copy integration forward. This is a meaningful step for breaking down data silos between operational and analytics layers. The combination of SAP BDC with Amazon Athena has real potential to simplify architectures while accelerating AI and self-service analytics use cases. Looking forward to seeing how quickly enterprises can turn “trusted data foundation” into real, production-grade AI applications and faster decision cycles.
ITJobTime
2w
Strategic move by SAP and AWS. The “zero-copy” integration between SAP Business Data Cloud and Amazon Athena addresses one of today’s key challenges: unifying data governance, access, and advanced data utilization without unnecessary replication. The impact could be significant for enterprise analytics and AI, reducing architectural complexity while accelerating time-to-insight.
Great move for unlocking real-time data and accelerating AI.
Sanjay K
3d
"Brilliant collaboration! A zero-copy data foundation between AWS and SAP completely streamlines enterprise analytics. It reduces data silos and empowers functional teams to handle cross-system insights in hours instead of weeks. #SAPSapphire"
Trusted and connected business data is becoming the foundation of scalable AI adoption. Integrations like this help organizations accelerate analytics, improve decision-making, and unlock greater value from enterprise data ecosystems
Strong direction. As organizations accelerate AI adoption, the challenge is no longer only data availability — it is data governance, identity control, and exposure management across interconnected platforms. Trusted integrations and visibility into data access paths will become increasingly important as AI systems interact with critical business environments. #CyberSecurity #ExposureManagement #CloudSecurity #AI #DataSecurity