Hello, everyone. I'm Nagapaneet Yeram and I'm thrilled to represent the future of IOT and Unified Communications, AI driven connectivity enhancements. Today, we'll explore how Artificial Intelligence is revolutionizing Unified Communications, blending IOT and AI for seamless intelligent communication experiences. Let's dive in. So let me introduce to Unified Communications. So Unified Communications or shortly known as UC. It integrates voice, video, messaging, and collaboration tools into one cohesive platform. This enables seamless communication across devices and teams. AI takes UC to the next level by introducing intelligent automation, real time analytics, and data driven decision making. These advances streamline communication workflows, improve operational efficiency, and enhance customer engagement. In today's interconnected world, AI powered UC is just not an advantage. It's a necessity. So here we're going to talk about the role of AI in enterprise communications. AI transforms enterprise communication with powerful features. Let's start with intelligent call routing, which uses the data to match customers with the most suitable agents. Real time speech recognition ensures accurate understanding and transcription of conversations. Automated transcription services make documentation seamless. These AI driven innovations have led to a 40 percent improvement in system efficiency and 60 percent increase in customer satisfaction. AI's ability to leverage predictive analysis further optimizes workflows and elevates user experiences. Let's learn about the key AI power enhancements in unified communications. Here, AI power enhancements in UC are game changing like never before. Intelligent call routing improves first contact resolution by analyzing customer data and also matching them with the best resource available. Speech recognition and transcription are now available, which are more accurate than ever, which is really thanks to deep learning, which enables effortless handling of complex conversations. Predictive analysis anticipates user needs, automation responses, and streamlining the process. These capabilities collectively create a smarter, more responsive communication system. Moving on to the next slide, we'll talk about the performance metrics. in any organization or any tool, the performance metrics is really important. So here is how AI enhanced UC outperforms traditional systems. First contact resolution rates jumped from 45 to 80%, while average response times dropped from 15 minutes to just 9 minutes. It's a significant drop. Customer satisfaction scores rise from 65 percent to 85%, and call routing accuracy improves from 75 percent to 95%. Even transcription accuracy increases from 85 to 98%. These metrics demonstrate the tangible impact of integrating AI to unified communication. So let's talk about industry benefits and sector specific applications, where we can use unified communications with leveraging artificial intelligence. AI driven UC offers unique benefits across industries in healthcare, HIPAA Transcription enhances patient documentation and workflow efficiency. Financial services benefit from improved compliance monitoring and secure communication. In manufacturing, AI optimizes supply chain communication and enables remote equipment monitoring. Finally, in retail, AI driven call management improves customer engagement. These applications highlight how AIUC adapts to sector specific needs, driving innovation and efficiency. As every technology, we have challenges. So I want to discuss more about the challenges in AI and UC integration. despite its benefits, AIUC integration comes with challenges. Technical integration, particularly with legacy systems, can be complex. User option often faces resistance. necessitating proper training and support. Resource Alliance is another concern, balancing time and investment for implementation, training and maintenance. These challenges require a strategic approach to ensure successful deployment and adoption. So moving on to the next slide, let's discuss the best practices for successful A. I. U. C. Deployment. So here we can discuss, three types of challenge. three types of successful A. I. Deployment. One is the phased implementation where you can start with the pilot programs Scale gradually based on feedback and performance. And the second one is, and we need comprehensive training for that. Also, it includes role specific training modules and ongoing support and official sessions. The second best practice for implementing AI in UC deployment is data management. Implemented structure data government frameworks. Privacy first design principles. Change management is the third. Press practice for successful a I. U. C. Deployment, which involves engaging stakeholders. Thirdly, provide clear communication and major success. So let's dive into the future of a I enhanced. Do you see? So the future of a I in unified communications is exciting. Advanced virtual assistance equipped with emotional intelligence will manage complex tasks like scheduling and project coordination. Predictive analysis will anticipate user needs and streamline workflows in real time. The market for AI enhanced UC is projected to grow with an impressive rate of 38. 4 CAGR through 2028, which is driven by the rising demand for smart communication solutions. in hybrid and remote work environments. We go to the next slide. Let's conclude how integrating artificial intelligence into unified communications will be helpful. So here, in conclusion, AI integration into unified communications is a transformative shift in enterprise communication technology. Intelligent call routing, speech recognition, predictive analysis. Improvement of efficiency, customer satisfaction and compliance are the key parts here. Despite challenges like technical integration and user adoption, thoughtful planning and execution can ensure success. AI and UC are the key builder to build something smarter, more agile communication systems that meets the demand of modern businesses. Finally, a huge thank you for supporting me and for this conference. Thank you. Thank you all.