That’s why T-Mobile US and Deutsche Telekom want to make sure great ideas are seen and heard. We set the stage for the greatest talent, brightest minds, and most creative visions, and transform them into real game-changers – by working on them, re-thinking them, and further developing them with a network of experts in the middle of the spotlight.
The T Challenge is our stage to award innovators with the most precious thing we have to offer: an infinite network of opportunities. Because that’s what great ideas deserve.
Are you ready? Then step up to the global stage to present your vision, amplify your positive impact, celebrate your passion for tech and benefit from long-term business opportunities.
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LONG-TERM BUSINESS OPPORTUNITIES.
PASSION FOR TECH.
T Challenge 2022/23 Impressions
This years focus
AI for Telecommunications
How can we utilize AI to revolutionize network management & customer experience?
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.
- B2B Solutions: How can AI help us to leverage DT’s potential for B2B offerings? What fields are particularly interesting for us?
- AI Reusability & Sustainability: How can we make the most out of vertical AI solutions – What is a sustainably scalable foundation for our B2B business?
Any questions? Check our FAQ for answers.
Highlights of the experience package
Invitation for all nominees
All nominees are invited to the T Challenge Finals at the Telekom Headquarters in Bonn, Germany.
Travel and accommodation expenses fully covered.
Gala Dinner & Evening Ceremony
Exclusive Gala Dinner with high-profile decision-makers and inspirational keynote speakers providing industry insights.
Mentoring & Networking
Personal mentoring by experts from within the Telekom Group and T-Mobile US.
Unique networking and knowledge exchange opportunities.
Recognition & Award
Opportunity to showcase your solution to a professional audience and top executives.
What’s in it for me? Information on benefits and prize money.