Many generative AI projects are failing to scale because organizations are overlooking foundational needs like network modernization and governance frameworks. According to John Lombard, CEO of NTT Data Asia-Pacific, addressing technology debt and establishing clear governance is essential before fully harnessing the power of generative AI.
As organizations embrace AI innovations, they often overlook the need for updated cloud governance models that can keep pace with rapid advancements. Effective governance should be proactive and embedded within infrastructure, ensuring that compliance and speed can coexist without hindering innovation.
Abu Dhabi will host the inaugural Governance of Emerging Technologies Summit (GETS 2025) on May 5-6, bringing together over 500 leaders from various sectors to discuss the future of technology governance. The summit aims to establish governance frameworks that balance innovation with societal rights amidst rapid advancements in AI, quantum computing, and Web3 technologies.
A recent survey by Gravitee revealed that nearly 80% of IT professionals consider governance to be extremely important as companies increasingly adopt Agentic AI systems. While organizations are eager to innovate, they are primarily focused on implementing these technologies responsibly to manage data privacy and security risks.
A recent survey reveals that nearly 80 percent of IT professionals consider governance as “extremely important” when implementing agentic AI systems. The study highlights that while organizations are eager to innovate, they prioritize responsible usage and operational efficiency.
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