SSAC: The Missing Link in Your AI Strategy In an era where AI adoption is accelerating but often misaligned with business goals, the StrategyOps Strategic Agility Competence (SSAC) method emerges as ...

Transform Your Cybersecurity Portfolio with RixVal by Xtraive.ai In today’s complex threat landscape, cybersecurity must align with both enterprise strategy and financial value. Introducing RixVal, a...

The End of Data Cleaning? How AI Agents and RAG Are Redefining Data Science Abstract: While data cleaning will never become obsolete—real-world enterprise data will always require validation and prepa...

AI is transforming industries—but too many organizations are getting their enterprise-level AI strategy wrong. In the rush to adopt AI, they lack a cohesive, scalable approach, yet still expect AI to deliver lasting competitive advantage. The result? Wasted investments, missed opportunities, and a cycle of limited results. In my latest article, I break down why this approach is doomed to fail—and how the StrategyOps 2.0 framework provides a counterintuitive solution: anchoring your enterprise strategy while evolving AI as a tactical enabler. You’ll discover how to: - Define an AI strategy explicitly set to achieve your enterprise’s strategic and financial goals. - Align AI sophistication with your enterprise strategic business capabilities. - Maintain a timing advantage over competitors. - Transform disconnected AI experiments into drivers of sustainable competitive edge. If you’re responsible for shaping your organization’s AI strategy—or simply want to understand how to make enterprise AI work—this is a must-read. Let’s discuss: What’s your biggest challenge in building an enterprise-level AI strategy? #AI #EnterpriseAI #Strategy #Innovation #Leadership #DigitalTransformation #StrategyOps #VALTICS #XtraiveAI | 17 comments on LinkedIn

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