Understanding the Quantum Challenge

As businesses dive headfirst into artificial intelligence (AI), they face hurdles like outdated infrastructure, strict data sovereignty, and the looming risks of quantum computing. The urgency to modernize is clear, yet action lags behind understanding, particularly with regard to post-quantum security and data sovereignty.

A recent Kyndryl report surveyed thousands of global leaders, uncovering a worrying gap between awareness and action. Quantum technology presents both an impressive opportunity and a substantial risk to current cryptographic systems. Yet, few prioritize post-quantum cryptography, leaving sensitive data vulnerable.

Meanwhile, data sovereignty is increasingly essential, prompting organizations to rethink data storage locations, application design, and the role of cloud providers in maintaining compliance. Geopolitical pressures make data management and sovereignty vital in digital strategy.

Network Modernization for AI Success

To get the most out of AI, seamless data flow is crucial. However, many companies struggle with outdated networks, hampering their technological progress. The report reveals that only a minority of leaders view quantum as a pressing threat, despite significant investment. Moreover, 84% acknowledge stricter data regulations, underscoring the need for alignment with cloud providers.

Outdated infrastructure is another challenge, with a quarter nearing obsolescence. This reality limits innovation and exposes businesses to future risks. To thrive, they need to adopt quantum-ready security, prioritize data sovereignty, and embrace agile networks.

Addressing these issues now will boost innovation and resilience, ensuring that businesses remain secure in an ever-evolving digital landscape. Ready for more in-depth solutions? Explore Kyndryl’s resources for guidance on navigating this complex era.

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