1、GENERATIVE AI FOR SEMANTIC AND REAL-TIME COMMUNICATIONEric Abbruzzese,Research DirectorDimitris Mavrakis,Senior Research DirectorMalik Saadi,Vice PresidentEXECUTIVE SUMMARY Video communication services have seen a level of growth over the past 5 years not normally seen.Spurred by the COVID-19 pandem

2、ic,services like Zoom and Microsoft Teams,Google Meet,and Cisco Webex in the enterprise sector,and Ap-ples FaceTime,WeChat,WhatsApp,Facebook Messenger,and Discord in the con-sumer market not only grew exponentially in usage,but that usage has remained even as work and life has returned to normal.Vid

3、eo communication platforms have become so ubiquitous that entire companies and segments of markets have been altered to support hybrid and remote work,some with no plans to revert to primarily in-person operations any time soon.As these platforms cement their ubiquity,a question of“whats next”become

4、s commonplace.Services become mature,user growth levels out,and companies are faced with balancing the existing user base and growing the platform.In this decision,Artificial Intelligence(AI)immediately surfaced as a way to accomplish both.The language and communication domain has been revolutionize

5、d through AI-powered real-time translation,live captioning,transcription services,and video CONTENTSEXECUTIVE SUMMARY.1VIDEO COMMUNICATION TECHNOLOGY EVOLUTION.3GEN AI FOR SPATIAL COMPUTING AND 3D VIEW SYNTHESIS.9KEY PAIN POINTS FOR CURRENT TECHNOLOGIES .9VIDEO TRAFFIC OPTIMIZATION:CLASSIC APPROACHE

6、S VERSUS AI-OPTIMIZATION METHODS.10NEURAL RADIANCE FIELDS AND GENERATIVE CONTENT.11STANDARDIZATION AND INDUSTRY ADOPTION.13CURRENT STANDARDS IN VIDEO COMMUNICATION.13GAPS IN EXISTING STANDARDS FOR GEN AI-BASED COMMUNICATION.16STEPS FOR DEVELOPING NEW STANDARDS .16KEY TAKEAWAYS AND RECOMMENDATIONS.17