I'm chetanyan and thank you for joining us today as we embark on a journey into the fascinating world of network management, where artificial intelligence, AI, is revolutionizing the way we operate and maintain a digital infrastructure. The fusion of AI, the water computing, is poised to redefine the boundaries of what's possible. And I'm excited. Share this transformer division with you in this house. Understood. Technological advancement the demands placed upon and networks are growing exponentially. The traditional manual methods of network management are no longer sufficient to cope with the complexity and the scale of modern networks. This is where AI starts offering a transformative solution in the process to reshape the landscape. Automatic management. When combined with the immense competition of power of particle computing, the possibilities become even more extraordinary. Now, I handed over to Sadha to walk you through the impact of AI in the field of digital backfire. Hello everyone. One of the most significant ways the IP is impacting their drug management is through predictive maintenance. By leveraging their algorithms, network can now predict potential disruptions with remarkable accuracy, often up to 90%. This proactive approach allows us to address issues way before they escalated back users, ensuring a seamless and reliable network experience. Imagine a world where network operators are a them of the basic AI is making this a reality. Quantum computing can further enhance this predictive capability by rapidly analyzing vast datasets and identifying the patterns that might be invisible to traditional computers. AI powered systems are not just about predicting the problems, they are also about optimizing the network performance in real time. These intelligent systems can dynamically adjust to rainy traffic loads, much like self driven cars adapt to changing go conditions. This self optimizing capability results in efficiency improvements of over 30% compared to traditional methods, ensuring that our networks are always operating at their peak. Quantum computing can take this optimization to the next level by exploring vast solution space and finding optimal configurations that were previously unattainable. The complexity of network management has long been a challenge for organizations AI simplifying this complexity by automating many of the routine tasks that previously required significant human intervention. This not only reduces operational cost by approximately 25%, but also frees up valuable human resources to focus on strategic initiatives that can drive innovation and growth. Quantum computing can further streamline these processes by solving complex optimization problems in a fraction of time. It could take traditional computers the impact of AI clinical network management is not just a point to theoretical run, it's already making a tangible difference in various industries, from personalized recommendations in streaming services to adaptive mechanisms in server cars and predictive maintenance in industrial settings. PR is proving its work across a wide range of applications. Quantum computing has the potential to revolutionize these applications even further. For example, the finance quantum computing could optimize portfolio management and risk assessment with unprecedented speed and accuracy. Thank you. As we look to the future, the potential of AI management is truly awe inspiring. We can envision fully autonomous networks that self field and self optimized, adapting to change permissions without human iteration. The integration of AI with emerging technologies like five g and attributing promises to unlock even greater possibilities, ushering in a new arrow of intelligent, responsive networks. Quantum computing will be key in the world's future, providing competition power needed to tackle the most complex challenges. The benefits of a risk AI network management are undeniable. Businesses can expect improved network reliability and performance, reduce operational costs at a significant competitive advantage in the digital landscape. In today's fast paced world, where network uptime and efficiency are paranormal is not just a luxury, it's a necessity. Quantum computing amplifies these benefits, offering the potential for even greater cost savings, faster innovation, and a stronger competitive edge. Numerous case studies from around the world highlight the successful implementation of AI in network management. These real world examples demonstrate tangible benefits and a denominator in this band that the organizations have achieved by harnessing the power of AI, the service, and inspiration for others to follow and embrace AI driven network solutions as quantum computing materials. We can expect to see even more impressive case studies showcasing the transformative power of this technology in a balanced rate. For those eager to emulve on the bi journey, a very defined road value doesn't show. It begins with assessing your current network infrastructure and identifying areas for improving. A phased approach to AI integration allows for a smooth transition, minimizing disruptions. Hottering with experienced AI solution providers can be invaluable in navigating the complexities of open ending. As you plan for the future, consider how quantum PD can be integrated into your roadmap to unlock its full potential. Quantum VD is not just a buzzword, it's a paradigm shift in computing that has potential to prevent network management behind us. In the principles of quantum mechanics, quantum computers can perform calculations that are implausible for class capabilities. This opens up a world of possibilities for networking, security and innovation. While still in its early stages, quantum computing is rapidly advancing and its impact on network management is poised to be profiled. One of the most promising applications of quantum computing network management is optimization. Quantum algorithms can efficiently solve complex optimization problems that arise in network route resource allocation and traffic management. This can lead to significant improvements in network performance, efficiency, and cost savings. For example, quantum algorithms could optimize the routing of data packets in a network to minimize latency and max versus throughput and network security is another area where quantum computing can make a significant impact. Quantum cryptography offers the potential for unbreakable encryption, protecting sensitive data from people. The most sophisticated cyber attacks. Quantum resistant algorithms are being developed to safeguard networks against the threat of quantum computers breaking current encryption standards. By building quantum enhanced security measures, organizations can ensure the confidentiality, integrity, and availability of the network resources. While the potential of quantum computing in network management is immense, there are also challenges to overcome. Quantum computers are still in their early stages of development, and there are technical hurdles to overcome before they can be widely adopted. Additionally, there is a need for skilled quantum workforce and the development of quantum specific software in tools. However, the opportunity is far outweigh the challenges. By investing quantum research and development, organizations can position themselves at the forefront of this technological revolution and reap the rewards of quantum advantage. In conclusion, the convergence of Bi and quantum computing is set to redefine the landscape of network management, AI driven, predictive maintenance, self optimization, and simplified operations already transforming the way we manage our networks. Hwanda contributing promises to amplify these benefits and unlock new possibilities for network optimization, security, and innovation. While challenges remain, the opportunities are vast. By embracing these transformation to technologies, organizations can build intelligent, resilient, and future ready networks that drive business success in the digital age. Thank you for joining us.