Empowering Autonomous Satellite Networks We appreciate your participation and would like to hear more about your perspective on the key themes discussed during the webinar. This short survey focuses on AI/ML's role in Satcom - specifically, its impact, opportunities and challenges. Your responses will be incredibly valuable in guiding further industry discussions and initiatives. Please take a moment to complete the survey below. Question Title * 1. What aspect of AI/ML do you believe has the most immediate potential for impact in Satcom? Enhancing operational efficiency through anomaly detection and predictive maintenance Improving customer experiences with AI-driven interfaces Leveraging AI for network optimization and dynamic resource allocation Advancing cybersecurity measures with AI Other (please specify) Question Title * 2. What do you see being the biggest challenge to successfully implementing AI/ML in Satcom networks? Using high-quality, well-labeled data for data modeling Integrating AI/ML with existing legacy systems Addressing trust and transparency issues with AI decisions Other (please specify) Question Title * 3. How can Satcom operators best collaborate to accelerate AI/ML advancements in the industry? Develop and adopt standardized frameworks for data sharing Use federated models to train AI across diverse datasets Establish dedicated councils or partnerships for ecosystem-wide cooperation Other (please specify) Question Title * 4. What is the key feature you would prioritize in achieving autonomous satellite networks? Real-time self-healing and root cause analysis capabilities Comprehensive digital twin applications for simulation and optimization Proactive AI-driven network orchestration for adaptive resource allocation Other (please specify) Question Title * 5. Your Name (Required.) Question Title * 6. Company Name Question Title * 7. Thank you for completing the survey. We appreciate your feedback. Leave your e-mail if you wish to be contacted by ST Engineering and/or GSOA. Done