4 minute read
In this podcast, Don Loden, Managing Director – Data & Analytics at Protiviti, discusses how organizations are leveraging SAP’s AI and data ecosystem to accelerate transformation. He highlights the role of SAP BTP as a foundation for integration and innovation, SAP Business Data Cloud (BDC) for unified, trusted data, and embedded AI for driving automation and business value.
The key takeaway: aligning data, platform, and AI strategies is critical to achieving scalable, outcome-driven transformation.
Explore related questions
Ask SAPi
More Resources
See All Related Content
SAP Sapphire 2026: The Autonomous Enterprise and the Rise of the Partnership EconomyFor decades, enterprise software was defined by systems of record. ERP centralized data, standardized processes, and gave organizations control. But execution still depended on people navigating systems, coordinating workflows, and making decisions across fragmented environments. At SAP Sapphire 2026, that model changed. SAP introduced the Autonomous Enterprise a shift from systems that document work to […]
Building a Scalable SAP Digital Manufacturing RoadmapWholesale distributors facing volatility and margin pressure are increasingly adopting SAP Digital Manufacturing to connect production with the broader supply chain through a phased roadmap that builds foundational connectivity, then intelligent operations, and ultimately smart factory innovation for greater resilience, visibility, and responsiveness.
4 minute read
Sapphire 2026- Your SAP ERP Just Got an AI Brain. Now What? – Seven questions every leader must answerThe Stakes SAP Sapphire 2026 was not an incremental update it was a strategic declaration. CEO Christian Klein did not announce features; he reframed the company’s identity: “SAP is becoming a business AI company.” The centerpiece is the SAP Business AI Platform, collapsing BTP, Business Data Cloud, and AI Foundation into one governed environment, […]
7 minute read
Post-Acquisition Finance Integration is the Barrier to Value CreationAs M&A activity drives increasingly complex multi-system finance environments, the article argues that CFOs must lead post-acquisition integration by aligning data, centralizing cash visibility, standardizing internal money movement, simplifying the system landscape, and applying governed AI and automation to reduce risk, improve control and unlock deal value.
5 minute read
