We are at a pivotal moment in the evolution of networking technology, with Artificial Intelligence (AI) increasingly integrated into systems to expand their capabilities in ways previously unimaginable. This whitepaper, a collaboration between Orro and Juniper, delves into the latest advancements in networking, the practical applications of AI-native networks, the transformation process, and key considerations when exploring solutions.
Key Takeaways from the Whitepaper:
The State of Networking: Today’s businesses face increasing network complexity due to the rise of AI, 5G, IoT, and cloud technologies. Traditional networks struggle with manual operations, reactive troubleshooting, and security vulnerabilities, leading to high operational costs and slow response times.
Understanding AI-Native Networks: Learn how AI-native networks leverage AI and Machine Learning (ML) to manage, operate, and secure themselves autonomously. They are characterised by self-organisation, self-optimisation, and self-healing capabilities, moving beyond traditional automation to truly intelligent network management.
The AI-Native Network Advantage: Discover the benefits of AI-native networks, including:
- Unprecedented Efficiency: Automating routine tasks and optimising resource allocation.
- Enhanced Reliability and Resilience: Proactively identifying and resolving issues before they impact users.
- Superior Agility: Rapidly adapting to changing business demands and traffic patterns.
- Proactive Security: Identifying and mitigating threats in real-time.
- Cost Savings: Reducing operational expenses through automation and fewer manual interventions.
AI-Native Networks in Action: Key Applications: Explore practical applications across various domains:
- Enterprise Networks: Simplifying Wi-Fi, LAN, and WAN management, ensuring consistent user experience.
- Data Centre Networks: Automating provisioning, load balancing, and anomaly detection.
- Service Provider Networks: Enhancing operational efficiency and improving service delivery.
- IoT and Edge Computing: Managing vast numbers of devices and processing data closer to the source.
- Transitioning from Traditional to AI-Native Networks: Understand the phased approach to adoption, starting with assessment and planning, followed by pilot deployment, gradual integration, and ongoing optimisation. Key considerations include data collection, platform selection (like Juniper Mist AI™), and ensuring a skilled workforce.
Exploring Your Options: Factors to Consider: Learn what to look for in an AI-native network solution, including:
- Scalability and Performance: The ability to handle growing demands.
- Integration Capabilities: Seamless integration with existing infrastructure.
- Security Features: Robust, built-in security for data and network integrity.
- Vendor Expertise and Support: Partnering with experienced providers like Orro and Juniper.
- Cost-Effectiveness: Achieving a balance between investment and long-term savings.
Orro and Juniper Networks: Understand the combined expertise of Orro, Australia’s leading secure network and digital infrastructure provider, and Juniper Networks, a leader in AI-driven networking. Highlights include Juniper Mist AI™ for proactive problem resolution and Marvis Minis for simulating user connections to validate configurations.
Download the Whitepaper
Ready to embark on the journey to a more intelligent, efficient, and resilient network? Download our comprehensive whitepaper to explore the future of networking with AI.