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SAP Executive Discusses the Future of AI and Decision-Making in Enterprises
Aug 13, 2026
AI Summary
The Chief Quantum Officer of SAP emphasizes that as AI becomes widely accessible, the next competitive advantage for businesses will lie in effective decision-making. He introduces the concept of Enterprise Decision Computing, which aims to optimize complex business decisions across various functions.
- Artificial intelligence is becoming a standard capability for large companies, leading to commoditization of predictive analytics.
- The focus is shifting from prediction to decision-making, where enterprises must navigate complex interdependencies and objectives.
- Current business practices often simplify decisions, which can lead to suboptimal outcomes across functions like sales, finance, and operations.
- A new technology category, Enterprise Decision Computing, is emerging to address the need for coordinated decision-making across an organization.
- This approach integrates mathematical optimization, simulation, AI, and human judgment to improve decision quality.
- Quantum computing may enhance decision-making by allowing for richer models, but the foundational decision architecture must be established first.
- CEOs and boards are encouraged to identify areas where independent optimizations occur and measure the benefits of coordinated decision-making.
- The key challenge for enterprises is to build a decision architecture that captures the complexity of their operations to gain a competitive edge.
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