SAP AI Strategy and Leadership Masterclass https://WebToolTip.com Published 8/2026 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch Language: English + subtitle | Duration: 3h 51m | Size: 1.7 GB Master SAP AI strategy with governance, ROI, roadmap planning, and enterprise AI transformation. What you'll learn Understand the SAP Business AI landscape for enterprise leaders. Differentiate embedded AI, copilots, predictive AI, and Generative AI in SAP. Evaluate AI opportunities across Finance, HR, Supply Chain, and Customer Operations. Assess organizational AI readiness across people, data, processes, and technology. Build executive AI opportunity heatmaps for business functions. Identify high-value SAP AI use cases using structured prioritization methods. Prioritize AI initiatives based on value, feasibility, and business impact. Create AI business cases with measurable ROI and executive KPIs. Build investment models for pilot and enterprise-scale AI programs. Measure AI success using productivity, quality, cost, and growth metrics. Design governance frameworks for enterprise AI adoption. Manage AI risks including privacy, security, bias, and compliance. Create AI operating models and Center of Excellence strategies. Develop executive change management and AI adoption plans. Build 30-60-90 day and 12-month SAP AI transformation roadmaps. Evaluate build, buy, extend, or co-create AI implementation strategies. Create executive-ready AI strategy presentations for leadership. Communicate AI value, ROI, and risks to executive stakeholders. Design board-level AI transformation strategies with measurable outcomes. Deliver a complete SAP AI transformation plan through a capstone project. Requirements No prior AI implementation experience is required. Basic understanding of SAP business processes is helpful. Familiarity with enterprise business operations is beneficial. No programming or data science knowledge is required. Basic computer and internet navigation skills. Interest in AI strategy and digital transformation. Experience in leadership or business decision-making is helpful. Basic understanding of business performance metrics is beneficial. Willingness to evaluate AI opportunities and business value. Interest in enterprise innovation and operational excellence. Access to a computer with internet connectivity. Suitable for business leaders, managers, and executives. Motivation to lead AI-driven business transformation.