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2025 Catalyst Projects

See Innovation Come to Life

At the heart of innovation at DTW Ignite, our 50+ Catalyst projects will debut their groundbreaking innovations live in the Quad and on the Innovation Arena stage.
Harnessing the collaborative global force of over 1000 industry minds from 250 organizations, our Catalyst project teams are pioneering solutions to directly impact TM Forum's Missions of AI & Data, Autonomous Networks, and Composable IT & Ecosystems to propel industry innovation and growth.
Experience first-hand their inventive and trailblazing demonstrations. Delve into the challenges tackled, use cases explored, and solutions forged. Connect with these visionaries to discover how you can leverage their achievements to align with your business objectives and advance future outcomes.

Browse Catalyst Projects

Game X

Game X

The impact of technology advancements in Cloud and Edge computing, AI everywhere, 5G and intelligent networks, is poised to revolutionize gaming industry by eliminating traditional constraints, allowing precision service quality and enabling paramount gaming experience. This advancement is particularly significant in the context of the rapidly growing eSports industry, with the global market projected to reach $140 billion by 2028 and cloud gaming itself expected to grow to $18 billion by 2026. These developments open up new avenues for monetization. However, the success of cloud gaming hinges on delivering a high-quality gaming experience that meets player expectations, which necessitates a new approach to network connectivity. In gaming, "slow is the new down" – a principle that extends to other latency-sensitive industries like finance, IoT, and AI. The Catalyst project, Game X, showcases a groundbreaking solution: a network that automatically adapts to guarantee the quality of experience required for demanding online gaming for instance, professional competitions. This innovation creates new business models for service providers and the entire gaming ecosystem, including game developers, publishers, and cloud providers. It enables dynamic, premium service APIs for B2B interactions such as international gaming events, professional online games, and differentiated premium services for gamers (B2C). The project fosters agile partnerships by integrating Agentic AI capabilities across the value chain. Our solution leverages Agentic AI-powered autonomous network management and closed-loop automation to proactively optimize performance, ensuring zero-trouble operation and dynamically adapting to changing network conditions, significantly improving operational efficiency. We achieve this by utilizing TM Forum's Open APIs and Open Digital Architecture (ODA), enabling cloud gaming platforms to express their desired network performance as intent, which is then automatically translated into specific network configurations across 5G networks, fixed-line infrastructure, and edge computing resources. This Catalyst demonstrates how CSPs can leverage autonomous network capabilities to deliver superior gaming experiences and monetize their 5G and fixed network investments by offering differentiated, premium QoS services, opening up new revenue streams. We also demonstrate zero-wait service provisioning with the help of Zero-Touch Partner onboarding capabilities.

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URN: M25.0.824
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Gen AI-powered predictive quality analysis for billing

Gen AI-powered predictive quality analysis for billing

In today’s telecom world, where choice, flexibility, and simplicity go hand-in-hand, CSPs deploy several strategies and resources to drive excellent customer experience at the point of contact. Despite all efforts, CSPs continue to spend significantly on handling billing-related calls. Such calls also result in other expenses, such as providing multi-million-dollar goodwill credits to dissatisfied customers. Our innovative approach is to shift the application of Gen AI at the point of contact and apply it to proactively identify anomalies and potential bill errors while they are still in production, and with an event-based approach for real-time billing (RTB), the data can be analyzed mid-cycle. Quality assurance (QA) is critical in identifying pre-production billing errors. In a batch-based approach, CSPs rely heavily on traditional rule-based QA parameters to identify and eliminate errors at the end of the cycle. It is time-restrictive and often overlooks human-based errors and discrepancies. Our proposed solution, Gen-AI-powered Predictive QA for Billing, harnesses the power of RTB with Gen-AI to isolate mid-cycle anomalies beyond rule-based methodologies. This reduces end-of-cycle production pressure and leverages Gen AI to proactively detect and address billing anomalies. With advanced predictive capabilities, CSPs can enhance customer trust, safeguard billing accuracy & mitigate revenue leaks.

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URN: C25.0.812
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AI-enhanced digital twins for best NPS network - Phase II

AI-enhanced digital twins for best NPS network - Phase II

In today's competitive telecom landscape, customer satisfaction and Net Promoter Score (NPS) are critical indicators of a company's market competitiveness and long-term sustainability. Traditional methods of managing NPS, which rely on random surveys with small sample sizes, often fall short in identifying and addressing the root causes of customer dissatisfaction. This project introduces an innovative approach to enhance network NPS by leveraging advanced AI and digital twin technology. Our solution provides a real-time, predictive, and actionable method for managing and improving network performance. By focusing on network NPS, we aim to significantly boost overall customer satisfaction and loyalty. Using AI, we can gain deeper insights into customer behavior and network performance, enabling proactive management and optimization of the network. This ensures that CSPs can quickly address and prevent potential issues, leading to a more reliable and high-performing network. The result is a more satisfying and seamless experience for end-users, ultimately driving higher NPS scores and business growth. By enhancing network NPS, we transform the way CSPs interact with their customers, ensuring continuous service improvement and personalized experiences that foster long-term loyalty and growth. Building on the initial success of our data-driven NPS management solution, this proposal specifically focuses on enhancing network NPS. In the first phase, we established a robust foundation for using decision intelligence to improve overall NPS. For this second phase, we are introducing advanced AI and machine learning capabilities to further refine and strengthen our approach, particularly in the area of network satisfaction. Our enhanced solution will provide deeper insights into customer behavior and network performance, enabling real-time monitoring and proactive management of network issues. By leveraging these advanced technologies, we aim to not only react more quickly to customer feedback but also predict and prevent potential network problems before they impact the customer experience. This focus on network NPS will help CSPs achieve higher levels of network reliability and performance, ultimately leading to a significant boost in customer satisfaction and loyalty.

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URN: C25.0.822
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API monetization & dynamic pricing: Unlocking revenue with unified discovery

API monetization & dynamic pricing: Unlocking revenue with unified discovery

API monetization & dynamic pricing: unlocking revenue with unified discovery Introduction This TMF Catalyst project proposes a transformative approach to network service delivery by shifting from static to dynamic pricing for Quality on Demand (QoD) services. Leveraging real-time telecom APIs and an AI-powered portal with a GenAI chatbot, the solution guides developers and product owners in seamlessly integrating monetization features. This initiative empowers network operators to optimize resource allocation during peak demand while opening new revenue streams. Use Case Examples Ride-Sharing at a Packed Stadium: When a major event concludes, network congestion can delay ride-booking requests. The QoD API solution detects the surge and automatically allocates additional resources to ensure that ride-sharing apps operate reliably. Consumers enjoy a seamless experience, and operators maximize revenue during peak demand. Real-Time Gaming Competitions: In online gaming tournaments, high-volume data streaming is critical. The system enables gaming platforms to request enhanced QoS solely during the competition period, ensuring smooth gameplay without incurring the expense of permanent premium service. Premium Streaming for Live Events: During high-profile live broadcasts—such as a major show—millions of viewers expect uninterrupted service. A B2B collaboration allows content providers to trigger QoD services for a predetermined window, enabling CSPs to prioritize network traffic. This not only ensures flawless streaming but also protects brand reputation and creates additional revenue opportunities. Avionic Communications at Remote Airports: For critical communications between a remote airport’s dispatch and tower radios, even brief lags can be problematic. With real-time monitoring, the system can initiate an automatic, short-term price negotiation with dual CSPs to boost QoS instantly. This ensures reliable connectivity and seamless operational continuity. Key Components ============== AI-Driven API Portal: ===================== An intelligent portal, equipped with a GenAI chatbot, provides step-by-step guidance, best practices, and troubleshooting for developers and product owners. This user-friendly interface demystifies dynamic pricing, accelerating the adoption of QoD monetization APIs. Dynamic Pricing Engine: The pricing engine leverages real-time network intelligence, usage patterns, and pre-defined pricing strategies to determine the cost of QoS requests dynamically. This allows for adaptive pricing that aligns with current network conditions. Dynamic Network Quality Management: Utilizing real-time analytics, the system adjusts network performance on the fly. During periods of congestion, it prioritizes essential applications—such as ride-sharing, gaming, streaming, and critical communications—to maintain optimal service quality. Benefits Across the Ecosystem For End Users: Consumers receive reliable, ​seamless, high-quality network experiences during peak periods, ensuring that services such as ride-sharing, gaming, and streaming remain fast and responsive. For Communication Service Providers (CSPs): Operators can dynamically manage network resources, optimize revenue through intelligent pricing, and maintain robust service quality during high-demand events. Enhanced insights into network usage also pave the way for more efficient infrastructure investments. For Clients and Developers: A unified API framework paired with an AI-powered portal simplifies integration and accelerates the adoption of monetization features. This enables the rapid development of innovative applications and improves the overall customer experience by ensuring consistent, high-quality service delivery. Conclusion ========== This project proposal envisions a future where network service delivery is dynamically optimized to meet real-time demand. By prioritizing critical services through adaptive pricing and quality enhancements, the initiative not only elevates the end-user experience but also unlocks significant revenue opportunities for CSPs and value for partners. The integration of an AI-driven API portal catalyzes widespread adoption, setting the stage for a new era in telecom service innovation.

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URN: C25.0.829
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