Network optimization and maintenance: How can generative AI revolutionize network optimization and maintenance to provide more reliable and high-performance telecommunication services?

Network Simulations: How can we leverage AI to simulate telecommunication networks to test and prepare rollout scenarios

Network Analytics: Which transformer-based foundation models do exist that can be used as a starting point to build downstream AI-applications to analyze time series and event data originating from telecommunication networks?

Network security threats: How can generative AI be used to improve the detection and mitigation of network security threats and cyberattacks?

Network Downtime and Quality Issues: How can AI assist in proactively identifying network anomalies and predicting potential outages before they impact subscribers?

AI Operations: How to manage & optimize large scale infrastructure using AI

Resource Inefficiency: How can AI optimize resource allocation to improve network efficiency and cost-effectiveness?

Equipment Failures: How can AI-based predictive maintenance reduce the occurrence of unexpected equipment breakdowns?

5G and beyond: In the context of 5G and beyond, how can generative AI help create innovative applications and services that capitalize on the increased bandwidth and low latency?

Internet of Things: In the era of Internet of Things (IoT), how can generative AI contribute to the management and optimization of a vast array of connected devices within telecommunication networks?

Digital Twin of agents:  How can we use generative AI to create a Digital Twin of our agents that can respond to our customers, combining the general know-how of our chat bot with specific knowledge about a specific agent and his cases?GenAI x Robotics: Can generative AI in combination with robotics create an android that acts as a welcome manager in our stores?

Multimodality: How can we enhance our chat bot with image and video functions for input and output to create a multimodal chat bot?

Voice & Video quality: In what ways can AI be used to enhance real-time voice and video call quality for a seamless communication experience?

Customer Support & Troubleshooting: How can generative AI-powered virtual agents transform customer support and troubleshooting processes?

Predictive Models: How can AI be leveraged to develop predictive models to improve customer experiences, products and services?

Evaluate Chatbot Experiences: How can we evaluate the performance of Chatbots based on the chat history and next actions and become independent from direct user feedback?

Customized data plans: How can generative AI assist in the design of customized data plans and pricing models that better align with individual customer needs and preferences?

Employeee superpowers: How can AI be leveraged to give our employees superpowers to better help our customers?

LLM hallucinations: How can we reduce the risk of LLM hallucinations in our highly-regulated, details-matter industry?

Generic Marketing Campaigns: How can AI enable us to tailor marketing efforts to individual customer preferences and needs?

Real-Time Agent Support: What are new and unseen real-time assistance use cases that really support our frontline employees?

Automatic generation of trainings:  How can we leverage generative AI best in order to create tailor made trainings for our service-center agents?

Identification of attributes: How can we cost-effectively identify a set of attributes or metrics (e.g. soft skills, hard skills, call types, etc.) out of speech-to-text call transcripts with a good performance?

Bot/AI Detection: How can we detect if an AI, rather than a human being, is contacting us via one of our sales & service channels? (e.g. call, chat, messaging, email…)

Un-Carrier Ideas: AI today is getting better at synthesizing and mixing existing knowledge. How can AI be used to accelerate new, revolutionary, Un-carrier ideas?

High Customer Care Costs: How can we leverage AI to significantly reduce customer care expenses while maintaining or even improving service quality?

Churn and Customer Attrition: How can AI help us identify the underlying reasons behind customer attrition and propose strategies to mitigate it effectively?

Revenue Losses: How can AI be used to identify and prevent revenue leakages more effectively?

Fraudulent Activities: How can AI enhance our fraud detection capabilities to identify and prevent such activities more efficiently?

Supply Chain Bottlenecks: How can AI optimize our supply chain processes to ensure timely equipment availability?

Environmental Impact: How can AI-driven strategies help us achieve energy efficiency while maintaining the reliability of our network operations?

Carbon Emmision: How can AI help us in reducing our carbon emissions throughout our value chain?

AI assisted customer segmentation and hyper-specific customer interaction & approach: Moving from “Pitches for 5 Personas to personalized B2B interaction”

AI assisted employee training & skill development: Employee Specific training, training guide, context sensitive training

Optimize Coding Quality and Efficiency: How can AI enhance code quality in large scale software development projects and how can AI support higher efficiency in code transformation, documentation and generation.

B2B Sales Impact: How can AI enable higher impact in B2B sales, specifically in large tenders – i.e. in more tailored communication, faster document scanning / processing / reply.