INE, a global provider of IT training, emphasizes the importance of network security and Cisco training programs to address skills gap in supporting AI workloads. Research shows readiness challenges in enterprise networks, with only 49% ready for AI traffic. EMA study identifies top challenges as security risk, budget issues, and pace of AI innovation.
Industry analysts project a shortage of AI-skilled workers, creating pressure on training budgets. EMA study highlights top business concerns around AI networking as security risk, budget constraints, and technology evolution. Organizations face delayed AI implementations and increased security vulnerabilities.
Establishing AI centers of excellence is crucial for successful implementation, requiring coordination between networking, security, and business stakeholders. Networking professionals must understand traditional enterprise requirements and AI-specific needs for initiatives to succeed.
Organizations hiring networking experts with deep technical foundations report more success than those focusing solely on AI-specific training. INE is developing targeted training programs to address challenges in AI infrastructure networking, high-speed Ethernet technologies, network automation for AI, and SDN.
INE leverages world-class instructors and hands-on experience with real technologies to prepare professionals for supporting AI workloads. Investing in foundational networking expertise creates adaptable teams that can navigate technological shifts. INE’s network certification training programs transform AI investment risk into competitive advantage.

Read more at GlobeNewswire: INE Networking Expertise Essential as Enterprises Struggle