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

Spatial Web: Open gateway to the immersive future

Intro The Spatial Web represents the next evolution of the internet, seamlessly connecting the digital and physical worlds. It leverages technologies such as IoT, 5G/6G networks, spatial computing, and built-in security to deliver personalized, immersive experiences. Unlike the traditional web, the Spatial Web connects not just information, but also physical spaces, devices, people, and AI agents through a common standard. Any device—whether it's a smartphone, sensor, headset, or autonomous vehicle—can instantly share data, knowledge, and capabilities. This Catalyst project utilizes Open Gateway APIs (via CAMARA) and TM Forum (TMF) APIs to develop a new, open communication protocol for the Spatial Web, supporting a wide range of spatial experiences. Through this protocol, Communication Service Providers (CSPs) can manage Spatial Web Nodes—essential components for spatial computing and positioning-based services—and offer them as a service. This innovative service model opens new revenue streams for CSPs, while aligning with Application Service Providers (ASPs) and Digital Service Providers (DSPs). The convergence of 5G, IoT, blockchain, and AI is shaping the Spatial Web, giving telecommunications companies new ways to enhance customer experiences and drive business growth. Development and Use of TMF and CAMARA APIs Open Gateway APIs network exposure is probably the biggest revenue opportunity for telecom market we have seen in the last years. STL Partners forecasts that the mobile network API revenue opportunity will reach US$34 billion by 2030. GSMA Open Gateway is a framework of common network Application Programmable Interfaces (APIs) designed to provide universal access to operator networks for developers. With the support of 72 mobile network operators, representing more than 78% of mobile connections in the world, GSMA Open Gateway builds the world’s largest connectivity platform, enabling application developers to deploy services on it. TM Forum, Linux Foundation and GSMA are the SDOs collaborating in this program, being TM Forum in charge of the Operate APIs definition, offering programmable access to Operation, Administration and Management (OAM) capabilities to facilitate the integration of the Operators with channel partners, marketplaces and other aggregator platforms. Working together with the Operate APIs group in the Open API program, this catalyst project is a real implementation of the Open Gateway Product Catalog API (TMF936) and the first implementation of a proposal for the Open Gateway Product Usage Management API (TMF937), enabling product catalog sharing and billing processes between operators and channel partners, building at the end of the day, key assets for the Open Gateway monetization. On the other hand, Spatial Web creates a new ecosystem of customer experiences and opportunies for developers. This catalyst proposes new revenue streams for telecom operators while enhancing the overall functionality of the Spatial Web through the network APIs. Spatial Web Demo The demo will showcase how operators can leverage the Spatial Web and Open APIs to unlock new business opportunities. It will highlight the use of various APIs, including population density data, location retrieval, device location, geofencing, carrier billing, and SIM swap. These capabilities enable operators to design targeted and efficient marketing strategies, enhance customer engagement, and optimize operational workflows. Visitors will be guided through a storytelling experience that demonstrates how Open Gateway and TMF APIs are used in the development of the Spatial Web.

URN: M25.0.771

Project details

Zero network outages using resilient automation

Major network accidents can result in huge economic losses and have a serious brand impact for CSPs. Such incidents can arise from network architecture corruption, increasing network scale and complexity and APT (advanced persistence threat) attacks. Failures in network security and resilience can lead to regulatory compliance issues, as well as serious business continuity issues, data breaches and millions of dollars in losses. Leveraging advanced technologies, such as AI and digital twins, this Catalyst is developing a comprehensive tool platform to enhance network resilience and address disruptions for operators. The solution comprises two key components. The first component focuses on mitigating risks in network architecture. To identify vulnerabilities, it supports network blueprinting, simulation, analysis and optimization, enabling quick recovery and enhancing network performance. The second component focuses on risks related to network changes. Prior to implementation of the changes, the platform performs configuration verification, simulation and a deployment comparison to prevent disruptions. As the tool platform identifies network risks and configuration faults, operators can optimize the network, according to its suggestions, and reduce the number and impact of network incidents. In the event of a power failure, for example, the operator could switch all services to a redundant path, potentially preventing a prolonged outage that would affect million users. As well as boosting network resilience, the proposed platform should improve operational efficiency and security, ultimately enhancing brand reputation. CSPs AIS and HKT, which are Project Champions of the Catalyst, plan to use the platform to help build level four autonomous networks that are highly resilient and further their business development.

URN: C25.0.773

Project details

Beyond Chatbots: Hybrid AI for fully automated proactive customer care - Phase II

Only 1 in 25 Unhappy Customers Will Complain The other 96% remain silent—leaving service providers with a costly blind spot. This silence leads to unresolved issues, missed opportunities for intervention, and ultimately, silent churn. For telecom operators, this means not just lost revenue but a failure to meet customer expectations. The Problem with Traditional Care Legacy care systems are reactive. They rely on customers to initiate the support journey—by calling, clicking, or complaining. Even with chatbots, dashboards, and predictive models in place, most tools operate in silos. They detect technical issues but rarely connect those issues to the specific customers affected, leaving care teams without the clarity or speed needed to respond effectively. The Shift to Proactive, Autonomous Care Phase One: Assisted Care In the beginning, AI played a supporting role in reactive care. Once a customer initiated contact—through a call, chat, or complaint—AI stepped in to predict intent, route queries, and prioritize responses. It helped optimize workflows, but only after the problem had surfaced. Phase Two: Autonomous, Proactive Engagement Now, we’ve flipped the model. When a service issue is detected in real time, the system identifies which customers have been affected. It then predicts how those customers are likely to respond—whether by calling support, submitting a complaint, or silently churning. Based on this prediction, the system proactively engages with each customer to address the issue before they take action. This Catalyst transforms telecom care from reactive support to proactive, intelligent engagement—delivered through a robust Hybrid AI approach built to scale across millions of interactions. AI at the Core of the Solution Built for telco, Designed for scale. * AI at the core – The operational engine, not a bolt-on * Closed-loop automation – From detection to resolution, no handoffs * Silo-breaking integration * ODA-aligned – Modular, open, and fast to deploy Business Impact Even in pilots delivered : * 30%+ improvement in service quality * 80%+ satisfaction in AI-led interactions * Reduced call volumes and churn * Increased upsell/cross-sell * Lower operational costs through automation The Result: Productivity at the core. Scale at the edge. Satisfaction across the journey.

URN: C25.0.767

Project details

AI-driven sustainable connectivity: Cutting emissions for higher impact

CSPs are expanding their digital infrastructure—and as they do, energy consumption continues to rise. This increases both operational costs and carbon emissions. This Catalyst addresses the urgent need to optimize energy use across network operations using AI, machine learning, and data analytics. The solution integrates an AI-driven analytics engine into the network management layer. It ingests telemetry data from power systems, equipment performance logs, and traffic patterns across both access and core domains. Using machine learning models, it detects anomalous energy use, forecasts load requirements, and dynamically adjusts network parameters—such as power modes, cooling profiles, and traffic routing—to minimize unnecessary consumption. These adjustments occur in near-real time, reducing operational overhead and extending the usable life of hardware. The solution follows TM Forum Open Digital Architecture (ODA) and Open APIs for modularity and interoperability. As a result, it supports modular deployment and seamless integration with existing OSS/BSS systems. Unlike traditional methods, this solution combines predictive analytics with intent-based automation. It supports smarter energy provisioning for both access and transport networks—reducing over-provisioning and unnecessary energy draw. CSPs gain a clearer view of their carbon footprint and can align energy-saving initiatives with broader sustainability targets. The business value is twofold: reduced energy and maintenance costs, and improved brand reputation through demonstrable sustainability leadership. In a market where environmental accountability increasingly influences customer and investor decisions, this Catalyst enables CSPs to lead by example. By embedding intelligent energy optimisation directly into operational workflows, CSPs can cut emissions, boost uptime, and reduce costs. Crucially, this Catalyst will demonstrate that they can do this without compromising performance. The aim is to show that sustainability isn’t just good governance—it’s a core driver of resilience and long-term growth.

URN: C25.0.770

Project details

Unleash the potential of GenAI-powered 5G network slicing

As spectrum is a limited and valuable resource, CSPs need to employ it as efficiently as possible. Yet many connected devices are either underutilizing or overutilizing the spectrum bandwidth available. This occurs because CSPs don’t have the necessary key performance indicators to assess how best to share different frequency bands among different connected devices. To help optimize the allocation of network resources, this Catalyst is training a large language model in performance evaluation. With access to 5G network data across all spectrum bands, the model will be able to measure the performance of network slices against service level agreements across a diverse range of scenarios and service categories. This AI-based solution will, for example, be able to monitor the network latency experienced by individual devices. The Catalyst plans to draw on and enhance existing network slicing APIs for product/service orchestration, as well as employing cloud-native applications based on a micro service architecture. This architecture will enable AI algorithms to dynamically share spectrum to ensure each device has the right amount of bandwidth, thereby enhancing the end-user experience. The Catalyst team believes TM Forum should bring in new best practice and standards for spectrum APIs for all 5G frequency bands. The solution will help CSPs better monetize 5G by efficiently utilizing all the available spectrum bands to support network slicing. Moreover, researchers in 5G networks, AI and network slicing will be able to use the datasets generated by the solution for in-depth analysis, model training, and performance evaluation, especially regarding resource allocation algorithms. Similarly, network architects and engineers will be able to use these datasets to consider diverse scenarios, aiding in the design and optimization of slicing strategies for different applications.

URN: C25.0.839

Project details

AN agent for 5G bearer networks

The 5G bearer network, which connects the 5G radio access network and the core network and supports high quality private line services, plays an extremely important role. But troubleshooting on the bearer network can be difficult. On one hand, alarms and faults frequently occur. For example, a broken optical cable broken may trigger hundreds of device alarms. On the other hand, it typically takes several hours for experts to complete a fault diagnosis and the on-site engineer often needs to contact the network operations center to obtain support. Yet during typhoons and other disasters, emergency relief and communication recovery must be completed quickly. This Catalyst is creating an intelligent fault management framework, encompassing network devices, the network management system (NMS) and the operations support system (OSS). The framework employs AI agents to automate the monitoring and diagnosis of root alarms, in place of manual operations, in common fault scenarios. In a scenario where a fault needs to be manually diagnosed, an AI copilot will provide support to the engineers via a natural language interface. A major step towards the development of a level four autonomous network, the end-to-end solution is based on a three-layer architecture that associates digital twins with AI foundation models. Drawing on embedded AI, the intelligent network element (NE) layer provides real-time awareness of the network status. The intelligent NMS layer enables self-closed-loop fault diagnosis in a single domain. Integrated with the NMS, the intelligent OSS layer can address fault scenarios across domains and vendors end-to-end. Having completed technical pre-research, the solution is being piloted by China Mobile Guangdong. After it is integrated into production, operations and maintenance in the province, the solution should greatly improve network stability and reliability, by reducing the time it takes to resolve faults. Improved data query efficiency and a more robust emergency response capability for natural disasters are also expected.

URN: C25.0.848

Project details

CX optimization via AI-driven SOC over autonomous networks

This Catalyst – championed by Claro Colombia, Claro Brasil, and Libyana Mobile – showcases how an AI-powered SOC can predict issues before customers notice, automatically resolve incidents, and align network performance with customer expectations. Built on TM Forum Open APIs, the architecture enables seamless interoperability, fast integration in brownfield environments, and real-time automation. It delivers a replicable framework – a modular, standards-based blueprint adaptable across operations, domains, and technologies. Designed for scalability, it accelerates autonomy through proven patterns and automation models. Why It Matters Telecom networks are more complex than ever, yet customers demand flawless connectivity and fast resolutions. Traditional NOCs fall short of managing customer experience. Frameworks like TM Forum’s Open APIs, Closed-Loop Automation, and MAMA highlight the need for integrated, real-time, customer-focused operations. A customer-centric SOC is key to resolving issues before they impact users, improving satisfaction, and reducing costs and churn. How It Works The SOC collects data from all layers of the network — access, transport, and core — and consolidates it through a cross-domain Data Mediation Layer capable of handling diverse protocols and systems. This enables a unified operational picture built from alarms, KPIs, logs, and real-time performance. But observability alone is not enough. The SOC enhances this picture with customer-centric signals — such as QoE, crowdsourced metrics, complaints, and churn risk — to understand not just what’s broken, but how it impacts the customer experience and the business. An AI/ML engine detects anomalies and predicts service degradations. When issues arise, an intent-based automation engine maps them to appropriate actions using TM Forum Open APIs, closing the loop with continuous validation. Key Benefits * Proactive Customer Assurance: Identify and resolve service issues before users experience them. By focusing on QoE and customer context, the SOC elevates satisfaction and reduces inbound complaints. * Faster Time to Resolution: Intent-based automation enables rapid remediation, decreasing MTTR and ensuring consistent service availability. * Reduced Churn Risk: With real-time insight into customer impact and contextual business signals, high-value accounts are protected from persistent quality issues. * Operational Efficiency: Automation handles routine tasks, allowing SOC teams to focus on strategy and innovation. The unified view improves collaboration across digital operations, network, and customer-facing teams. * Scalable, Reusable Architecture: Built on TM Forum Open APIs and aligned with the ODA and MAMA frameworks, the solution provides a blueprint for autonomous operations that can be replicated across CSPs. Expected Outcomes * Decrease in customer-initiated trouble tickets and care center interactions. * Improved perceived reliability, especially in high-ARPU segments. * Increased Net Promoter Scores as customer disruptions become rare and short-lived. * Lower operational costs through intelligent automation. * Industry-aligned reference architecture, validated by TM Forum's Value Operations Framework (VOF), and designed to accelerate autonomy adoption across telecom environments.

URN: C25.0.806

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INFINITY: Unlocking revenue with APIs & dynamic pricing

What if your network could price itself, adapting to demand and opportunity in real time? The need for dynamic pricing and billing is driven by the diverse demands and evolving consumption patterns across our customer base. The main challenge of the existing pricing process is that it’s static in nature. CSPs have the opportunity to convert significant network spend into measurable, monetizable outcomes. We have a viable solution that can transform a deficit of dynamic pricing capability into a potential gain. The future is now. Telecom customers today expect personalized, high-quality service on demand, where CSPs have no suitable pricing model to satisfy the demand. Adding to this pressure, the swift evolution of cloud computing and AI is driving rapid innovation, forcing the telecom sector to adapt quickly achieving pricing agility. As a result, even after accounting for economic variations, yearly revenue growth has remained low, typically between 1-3%, highlighting the critical need for transformation. To stay competitive and unlock new revenue, CSPs must adopt dynamic pricing that aligns with real-time customer needs and network value. Customers are able to request Quality on Demand, and only pay for what they use, when they use it. Built on a foundation of proven TMForum APIs industry standards and with a customer-centric approach in mind, our innovative dynamic pricing capability highlights a potential for new revenue generation. Here’s how we’re making it happen: Our model runs through eligibility and technical viability checks, followed by collecting the real-time network telemetry, service location, time and other relevant attributes. By leveraging TM Forum ODA framework, CSPs are able to shift from fixed to dynamic pricing. This real-time adaptability provides a platform for ongoing growth within the telecom industry.Now CSPs can optimize their network capacity while delivering premium user experiences with TMF APIs. Our Dynamic APIs, available through CSP portals and marketplaces like ADUNA, are unlocked by a GenAI-driven chatbot, accelerating discovery and API adoption. This solution not only allows telecom to monetize but will transform pricing strategies across industries, from Satellite, IT, Smart Cities and NTN - reshaping how enterprises create and capture value. Key Benefits Unlocking primary benefits and innovative capabilities for CSPs result in 1. Enabling Dynamic Pricing 2. Generating New Revenue Streams 3. Optimizing Costs 4. Accelerating Dynamic Pricing Model Adoption via AI Conclusion CSPs hold untapped potential, variable demand, and avenues for revenue generation. Conventional pricing models often fail to adapt to these dynamics. To effectively leverage short-lived value, a novel, real-time adaptive strategy—dynamic pricing—is crucial. This isn't just an idea; it's a monetization model built for agility, speed, and scale. It transforms your network from a cost-center into a responsive intelligent profit engine. No more dormant bandwidth. No more lost revenues. Static is over. Dynamic pricing isn’t just a new model, it’s a new mission! Infinity starts here.

URN: C25.0.829

Project details

Revenue Generator: Harnessing digital twin-enabled marketing intelligence

For CSPs, personalized marketing is no longer optional—it is essential for customer retention and growth. This Catalyst introduces an AI-powered solution that combines a large user model (LUM), real-time analytics, and multi-domain data fusion to enable intelligent, closed-loop marketing. The solution integrates operations and business domain data, along with third-party sources, to build a comprehensive customer profile. It applies advanced AI models—including graph analytics, machine learning, and real-time event detection—to automate decision-making and personalize outreach at scale. For instance, by analysing behavioral data and usage patterns, the system can identify a segment of 4G courier users and successfully increase 5G migration through targeted voice package offers. It can also boost conversion rates through automated, graph-based revenue analysis. The LUM uses a graph neural network (GNN) and transformer-based AI architectures to model long-cycle, high-dimensional behavioural patterns. This enables precise churn prediction, dynamic segmentation, and high-impact marketing—without the need for manual feature engineering or model tuning. The system executes campaigns in real time, triggering them based on user activity to maximize relevance and ROI. Aligned with TM Forum’s DT4DI standards, the solution is scalable, secure, and interoperable across digital ecosystems. Its business impact is measurable. By streamlining workflows and enabling hyper-personalization, CSPs can improve marketing efficiency, increase customer lifetime value, and reduce churn. The project team tracks performance using key KPIs, including conversion rate, ROI, churn reduction, customer satisfaction, and active subscriber ratio. Organizations with large customer bases need a way to understand and engage users in ways that reflect individual behavior. This Catalyst provides this, demonstrating how CSPs can move from static business intelligence to adaptive decision intelligence. The result: empowered teams, better outcomes, and sustainable growth in a fast-moving digital market.

URN: C25.0.823

Project details

Quality of Trust: Eliminating spam, enabling growth

In a mobile-first world, customer trust in telecom connectivity is essential for digital interactions, e-commerce, and digital payments. However, unsolicited commercial communication (UCC) and spam-initiated scams have turned this strength into a critical vulnerability. In 2024, spam-initiated scams caused $1.03 trillion in global losses, with over 60% initiated via telco voice and SMS channels. Victims in the U.S. lost $3,520 on average, while countries like Pakistan and Kenya saw losses up to 4% of GDP. Truecaller reports that 30% of unknown calls are malicious, and 80% of global smishing targets EU citizens. Telcos lost $1.5 billion to fraudulent A2P SMS. Only 4% of victims recover funds, and cross-border jurisdictional barriers hinder enforcement. Regulators are increasingly holding telecom operators and other stakeholders accountable, as seen in Singapore’s Shared Responsibility Framework (SRF), now influencing global policy. SRF assigns liability to Telcos for failing to curb UCC and fraud. Countries like Australia are considering similar models, emphasizing proactive prevention and collaboration among telecoms, regulators, and service providers. This rapid response, achieved by working directly with telecom operators, demonstrates the power of scalable, operational solutions over reliance on future regulations or disjointed enforcement. These examples highlight the need for global, collaborative frameworks to address spam and scams effectively, ensuring CSPs and regulators align to protect consumers and restore trust. Goals: * Reduce Scam initiated by UCC and other forms of Spam by 90%: Deploy a global, standards-based platform to block malicious communications and prevent massive customer losses. * Restore Trust: Ensure secure, spam- fraud-free channels to rebuild consumer confidence in CSPs. * Unlock Telco Revenues: Monetize through secure messaging, fraud analytics, and value-added service based on CSP ability to break the contact between victim and scammers. * Ensure Regulatory Compliance: Align with frameworks like SRF to minimize liability and penalties. * Enable Global Collaboration: Connect CSPs, banks, regulators, device manufacturers and other stakeholders for real-time scam intelligence sharing and joint response. Solution Key Capabilities: 1. Shared Ledger for Consent Management: Stores customer consents and preferences, ensuring only authorized entities access user data. 2. Smart Contracts: Automate enforcement of data privacy laws and regulatory rules. 3. Digital Identity & Lifetime Management: Creates cryptographic identities for preferences and controls how and when changes occur. 4. Real-Time Spam Filtering: Scans every SMS for malicious content, blacklists URLs, and alerts users instantly. 5. AI-Based Complaints Handling: ML-powered module addresses complaints quickly, reducing contact center load. 6. Vendor Onboarding: Streamlines partner verification, registration, and compliance. 7. Detailed Audit Trails: Every change—valid or attempted—is logged across all nodes, ensuring accountability 8. Standard based Open APIs that would prevent Spam while providing monetization opportunities for CSPs. By providing a single version of truth, Catalyst solution fosters transparency and builds consumer confidence. It not only blocks fraud but also opens new monetization paths for CSPs through premium secure messaging and fraud analytics services. Ultimately, Catalyst solution transforms telecom networks into trusted digital gateways—secure, intelligent, and compliant—supporting the fight against global spam and scams while enabling telcos to grow in a trust-first digital economy.

URN: M25.0.763

Project details

Agent Fabric - Phase II

Modern Network Operations Centers (NOCs) are under pressure—grappling with manual processes, delayed fault detection, rising incident volumes, and challenges in rapid service restoration. Where automation exists, it is only in fragments. Some teams rely on custom scripts, others on domain-specific AI tools. This patchwork of solutions leads to inefficiency, inconsistency, and missed opportunities for scale. The Agent Fabric Catalyst tackles these issues head-on by enabling a collaborative, multi-vendor ecosystem of autonomous agents designed to operate across different network domains. Instead of isolated scripts or siloed intelligence, it orchestrates specialized agents that work together across network domains. Building on the Phase 1 Incident Copilot, which automated single-domain fault handling, Agent Fabric now extends to cross-domain, allowing specialized agents to autonomously detect, diagnose, and resolve across RAN, transport, and core domains. What Agent Fabric Delivers: * Reduced Manual Effort: Agents automate repetitive and error-prone NOC tasks, improving operational speed and consistency. * Faster Incident Resolution: With intelligent detection and cross-agent coordination, issues are addressed more quickly. * Multi-Domain Execution: Agents operate across previously siloed systems, reducing the need for complex integrations. * Modular & Scalable: Agents can be added or upgraded independently, avoiding disruption and supporting incremental adoption. The Agent Fabric provides a production-ready Agent Registry, supports seamless agent discovery, and enables a plug-and-play model for introducing new capabilities—without requiring a full overhaul of existing systems. Whether it’s identifying root causes, accelerating ticket resolution, or enabling service optimization, Agent Fabric shows how telcos can scale autonomy and boost efficiency—one agent, one domain at a time. Agent Fabric turns fragmented automation into layered yet endogenous intelligence. Instead of siloed scripts or isolated AI tools, it connects autonomous agents across the business, service, and resource operational layers— aligning with TM Forum’s AN L4 Target Architecture. The result: scalable, closed-loop autonomy that evolves network operations without disrupting them.

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URN: C25.0.798

Project details

B2Sea: Converged access - Phase IV

Market Opportunity and CSP Challenges Many port and terminal operators are investing in private 5G networks to enable high-speed, low-latency wireless connectivity for applications such as automated guided vehicles (AGVs), remote-controlled cranes, smart cargo handling, and predictive maintenance. In the maritime transport segment, onboard private cellular networks—supported by satellite backhaul links—are increasingly used to provide voice, data, messaging, and IoT connectivity services for both passenger and cargo vessels at sea. With the global market for smart ports projected to reach US$15.3 billion by 2030, communications service providers (CSPs) have a significant opportunity to harness 5G and private networks to deliver tailored enterprise services for maritime and port operations. Solution Needs Maritime vessels and port operations require multiple network slices to optimize performance, including ultra-low latency for control commands and high bandwidth for video feeds. Dynamic network slicing ensures continuous service quality and fail-safe operations by adapting in real time and switching to alternate slices during congestion or outages. Whether vessels are docked, in harbors, or navigating open waters, a mix of access technologies—including 5G, FTTx, IoT, and satellite—must be supported. Global transit adds further complexity, with connectivity often switching between multiple operators, creating unique challenges in maintaining consistent service intent. 2025 Catalyst Solution (Converged Access – Phase IV) Our catalyst solution, which delivers dynamic network slicing, builds on the momentum of our multi-year converged access project. The 2025 phase introduces new network vendor partners and leverages CAMARA APIs to address data sharing, inventory, and location needs across multi-operator environments—ensuring a seamless maritime connectivity experience. Business Value to CSPs CSPs will gain from reduced IT costs and accelerated time-to-market for intent-driven B2B2X services, all while meeting critical SLA and security requirements. The catalyst also enhances a telco's partner ecosystem through a centralized infrastructure that supports multiple stakeholders and additional verticals in logistics, supply chain, and transportation. What’s Next Looking to differentiate your enterprise services in a competitive market by ensuring business continuity across any access type? Join us at DTW in Copenhagen and tap into the multi-billion-dollar smart port opportunity.

URN: C25.0.807

Project details

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