Transforming Legacy Infrastructure for AI-Driven Success: Why the Time Is Now - Seguridad Mania.com - España y América Latina

Enterprise digital infrastructure is at a critical inflection point. Designed for static workloads and predictable demand, legacy architectures are increasingly misaligned with the realities of AI, real-time analytics and multi-cloud operating models. As AI adoption accelerates, challenges such as data gravity, security boundaries and operational complexity threaten scalability and ROI. Addressing these limitations is essential for businesses looking to harness the transformative potential of AI and maintain a competitive edge. Modernizing digital infrastructure to support AI-ready workloads unlocks transformative benefits for enterprises. By implementing architectural shifts across compute, storage, networking, data platforms and security, organizations can achieve seamless scalability, enhanced resilience and optimized performance for data-intensive applications. This evolution not only enables AI adoption but also reduces operational risk, simplifies complexity and ensures alignment between technology investments and long-term business objectives. With the right frameworks, businesses can future-proof their infrastructure to drive innovation, unlock new opportunities and maintain governance and cost efficiency. Join Felix A. Jorge, Field CTO and Global Solutions Architecture Leader at Hitachi Vantara, to discover how to future-proof your infrastructure for AI-driven workloads. Takeaways: - Assess whether existing infrastructure is limiting AI adoption and scalability - Understand core architectural principles for AI-ready, multi-cloud platforms - Learn practical steps to modernize infrastructure while balancing risk, cost, and governance - Gain actionable frameworks to align technology investments with business outcomes