How network modernization enables AI success and quantum readiness (www.techradar.com)

Organizations are increasingly integrating artificial intelligence (AI) into their operations, but outdated network infrastructures are posing significant challenges. A recent global survey indicates that AI workloads will demand more from network systems than traditional cloud or big data analytics over the next few years. Currently, performance bottlenecks due to legacy networks result in extended system downtimes, costing businesses nearly $400 billion annually. To capitalize on AI's potential, network modernization is crucial, requiring the transition from outdated technologies like MPLS to more agile solutions such as SD-WAN and SASE, ensuring efficient and secure AI operations. Additionally, the imminent rise of quantum computing presents new vulnerabilities for organizations. Quantum capabilities could soon threaten the encryption standard used today, necessitating a proactive approach to security. Organizations are urged to prepare by investing in modern IT infrastructure and adopting post-quantum cryptography to safeguard their systems against future threats. As the digital landscape continues to evolve, there is a pressing need for cross-industry collaboration and strategic leadership to address these challenges effectively and leverage AI and quantum technologies for sustained growth and security.