Engage with the latest Catalysts co-creating innovative solutions to meet the industry's most important challenges.

Projects

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At DTW24 - Ignite, we will harness the collective ingenuity, innovation, and collaboration of our global community to seize this opportunity and lead the communications industry to growth. Join our journey this June in Copenhagen.

Upcoming showcase

Awarded to the Catalyst that demonstrates the most compelling business impact & potential to be commercially deployed. 

Huawei Technologies Co. Ltd

Indosat Ooredoo Hutchison

Hong Kong Telecommunications (HKT) Limited

Core9 Ventures Pvt. Ltd.

Vodafone Turkey

Hayat Communications Co.

STC Bahrain

Accelerated service-centric autonomous network operations

   Hi, I would like to introduce you to our Catalyst Project: C24.5.755
   Accelerated Service Centric Autonomous Network Operations.

   Slide 2:

   This Catalyst project empowers the CSP Champions to Accelerates CSP
   Digital Transformation Journey to Service Centric Autonomous Network
   Operations for Competitive Customer Experience, Operations Excellence
   and Revenue Growth.

   The Project Adopts the TM Forum 3 Missions for CSP Digital
   Transformation:

   1) Composable & IT Ecosystem

   2) Data & AI Innovation

   3) Autonomous Network Operations.

   Champions STC Bahrain, Vodafone Turkey, Indosat Ooredoo Hutchinson and
   Hong Kong Telecom (HKT).

   Supported by Participants Innovative Solutions by Huawei, Hayat and
   Core9AI and integrate them into Autonomous Networks

   Slide 3:

   Traditionally O&M is based on Human approach (dependent on their
   knowledge and experience) to detect and resolve any network issues.
   This approach can not cope with the trend of more complicated
   networks, network SCALE and the demand for new network services in the
   future.

   We need to Transform from Network Centric to Service Centric to
   automate operations and to empower the Champions in their Digital
   Transformation to Accelerate Service Centric Autonomous Network
   Operations (ASCANO) to meet their R.I.S.E (Revenue, Innovation,
   Satisfaction and Experience) differentiated business objectives:

   1.For HKT, how to leverage GenAI to foster Proactive Customer
   Experience Optimization? Focus on Reducing customer compliant volume
   and Improving FCR (First Call Resolution).

   2.For STC, how to drive Dynamic VIP User Assurance to increase
   Revenue? New Revenue – Proactive Customer Experience Monetization

   3.For IOH, how to leverage DTN to Improve Transport Resilience and
   Develop Latency-Oriented B2B Services? New Revenue - “Latency as a
   Service” and Reduced Traffic Loss

   4.For Vodafone, - How to Prioritize Customer Centric Operations to
   reduce Revenue Loss and Drive Proactive Customer Care? Reduced Traffic
   Loss, Reduce Churn and Increase NPS

   Transformation redefines Business Processes and Customer Experience
   through the integration of different digital technologies (for Cloud
   Computing, AI, Big Data and Autonomous Operations).

   Slide 4:

   Discusses what TM Forum Assets are Used in the Catalyst Design. We use
   ODA (Open Digital Architecture) to simplify the design, modernize the
   build and automate the operation using 16 ODA standards for
   Service-Centric Operations.

   Across the dimensions Design, Build, operate we outline the problem
   statement and what assets support addressing the problem.

   Slide 5:

   Our Solution for addressing the champions challenges used the TMForum
   AI-Native Telco Framework:

   1.The Top Layer for ‘AI – Native Operations’ for Monitor & Handle
   Anomaly Event Value Stream and Value Stream Stages for Awareness,
   Analysis, Decision and Execution for service centric network O&M Cross
   Domain Closed Loop automation.

   2.The middle layer – “AI Native OSS and BSS” Use of Modular ‘Plug and
   Play’ Microservices Oriented AI Ready components TMFC041 Anomaly
   Management (Detector), TMFC043 Anomaly Mitigator and Service
   Restoration Workaround

   3. The Bottom Layer for ‘Autonomous Infrastructure’ Autonomous Network
   Incident.

   Overall Service-Centric Network O&M, reprioritize the Cross-Domain E2E
   troubleshooting, Service Impact Analysis, and Service Restoration
   activities based on service & business impacts. Value Delivered shown
   by Champions on the right-hand side.

   Slide 6 STC POC 1: EVOLVE Towards AI Service Oriented Operation

   STC mission to EVOLVE from Network Centric to Service Centric
   supported by NOC & SOC & CRM Collaboration Platforms. EVOLVE stands
   for E(Experience), V(Value Platform), O(Operation Transformation),
   L(Leading Opportunities), V(Value Marketing), E(Effective Governance).

   This NOC, SOC & CRM Collaboration enables output VALUE to Monetize
   Proactive Customer Experience by increasing VIP ARPU through Churn
   Reduction 12%, Package Upgrade 24%, FWA User Growth 9%.

   Slide 7 STC POC 1: New Process Design & Automation VIP Customer Care

   NOC, SOC & CRM Collaboration created List of impacted users
   prioritized by VIP user due to RAN Site/Cell outages, KQI (experience)
   degradation detected on site together with the top XX worst
   user/cells. This triggers NOC Fault management, and SOC Service
   Quality management to analysis the service impact and gauge
   compensation using Algorithm and text compensation message to be
   issued to VIP customer.

   A Service Impact list sorted by VIP prioritization is notified to
   Customer Care Centre to be aware as VIP may call Customer Care Centre
   – Proactive Customer Care.

   Slide 8 IOH POC 2: Reliable Network by Service Oriented AI powered
   Operations

   Realized new Premium Revenue Latency as a Service B2B Business, TTM
   saving increased by 30%, MTTR reduced from 2 Hours to 10minutes, Major
   Incidents reduced by 82 % and Traffic Loss reduced by 8.4%.

   Proactive Service Impact Mitigation of B2B Private Lines enabled by AI
   Powered Operations, Digital Twin of IP Network and NOC/SOC/NDO
   (Network & Design Optimization).

   Digital Twin - Digital Map multidimensional view of IP status network
   topology, latency delay view and bandwidth view. Offering IP Service
   path auto optimisation (network interruption service recovery,
   congestion traffic load balancing and deterioration service SLA
   assurance)

   Slide 9 IOH POC 2: Realized 3 Business Values due to Innovation

     1. Innovation & New Revenue Latency as a Service B2B, Innovation
       Planning & Provisioning Improvements = $0.84M/year plus New
       Revenue (Latency as a Service B2B) = $0.75M/year. Total
       $1.59M/year.

     2. Satisfaction: Reducing Churn Subscribers (Affected User =39,525)
       & Revenue Assurance = $1.09M/year.

     3. Total Revenue from Traffic Loss Savings for CRITICAL & NORMAL IP
       INCIDENTS = $1.1M/year

   Note a IOH Demo of B2B IP Digital Twin will be shown in the Catalyst
   booth.

   Slide 10 HKT POC 3: HKT Digital ISOC Co-Pilot GenAI POC

   Address Challenges for Seamless NOC-SOC Collaboration, drop Silos
   leading to Network Performance & Customer Experience Quality
   improvements. Real-time Event Monitoring & impacting Service Quality
   Analysis and Quantifying Digital Innovation using TMForum’ s Value
   Operation Framework (VOF) for the benefit of Investment Stakeholders
   to show ROI.

   The service-centric solution utilizes EDNS (Service Impact Analysis)
   and DTN (Digital Twin Network) to determine the best actions for rapid
   service recovery. It also incorporates GenAI CoPilot for ChatOps,
   leveraging the Pangu Model for Chain of Thought (COT).

   This approach streamlines anomaly detection and correlation for event
   identification and precise root cause analysis, ultimately enhancing
   Proactive Customer Experience Optimization.

   Increase Engineering FCR from 5% to 25%, Reduced Customer Complaint
   Volume by 15%, Secured Revenue Lost (Traffic Loss) = 10%, Reduce MTTR
   by 73%.

   Slide 11 HKT POC 3: Business Value of Co-Pilot GenAI based on VOF
   Modeling

   Lower CC Call Volume improvement by 20% between Before and After GenAI
   Solution(monthly)

   Value of Operation Efficiency, Service Loss Reduction, Potential
   Revenue Secured due to Churn (Yearly) leading to Total annual value of
   the co-pilot Intelligent Customer Complaint Management is USD 930.6 K

   Moreover, HKT has utilized the outcomes from the Value Operation
   Framework (VOF), as a predictive quantified value, serving as a
   crucial input for business cases submissions to seek approval for
   commercial deployment.

   Slide 12 HKT POC 3: HKT Co-Pilot GenAI POC Demo

   Note: There will be a demo of the HKT Co-Pilot Demo shown at the
   Catalyst booth. This is the flow of the CC AI Co-Pilot Demo:

   1.Customer Complaint Acknowledged via Chatbot,

   2.Co-pilot convert to LLM understandable Language for the machine.

   3. LLM triggers fault simulation, enabling root cause analysis and
   assessing service impact and Compare vector database access with
   historical patterns. Co-pilot showcases the value of integrating GenAI
   with Operations, leading to significant improvements in efficiency,
   accuracy, and customer satisfaction.

   4. Co-pilot translates to human-readable language to recommend
   Next-best Actions. The Co-pilot is an agent that assists Operations,
   while the Operations Expert remains in charge as the pilot

   Slide 13 VODAFONE POC 4: Service Oriented Operation: Innovative
   Solution:

   When a Network Fault is raised in the NOC(AUTIN) , the SOC(Smartcare)
   start a service impact assessment for affected users in the site/cell
   using the Smart Data Cube and Rule Engine to consume and correlate the
   SmartCare and AUTIN data. On the right-hand side is the deeper look at
   the flow of how these affected users are identified and passed back to
   the NOC to re-prioritize the Alarms based on Service Impact.

   Key Innovation is identifying the experience-based users based on Data
   KQI for Voice and Data. Comprehensive holistic view of whole site,
   affected site outage and the neighbouring cells are factored into the
   analysis. Flexible Rule engine for affected user experiences in
   different scenarios.

   Slide 14 VODAFONE POC 4 Service Oriented Operation: From Network to
   Service Centric

   Furthermore, the Work Orders sent to FMEs are reprioritized leading to
   fast experience issue/network fault identification (MTTR reduction)
   and Traffic Loss estimation. The affected user list is sent to the
   Customer Care (CC) centre for proactive customer care – information
   ahead of time of customer ringing CC centre leading to Churn Rate
   reduction, improved NPS. Lastly, when the site/cell is interrupted
   “service keep alive” solution is used to help migrate users with poor
   experience if possible to the neighbour cells to restore the service
   asap.

   Slide 15 VODAFONE POC 4: Interactive Demo

   Shows DaVinci Service Centric Operation, NOC-SOC Collaboration to
   support work order re-prioritization. As part of the 1st Storyline,
   the Network Alarms in the NOC are sorted by Critical and Major Faults.
   Then the engineer selects Service Impact Analysis using the SOC to
   generate the list of the affected users experience KQI based on Voice
   and Data. This affected user list is sent back to the NOC to
   reprioritize the Alarms based on priority weighting (for the site and
   number of impacted users). Next the engineer selects Auto Diagnose
   function to Root Cause the problem and if necessary Auto Dispatch the
   Work Order to the Field Maintenance Engineer (FME) who receives the
   notifications on their mobile app.

   In the 2nd part of the Storyline the Affected User List is sent to the
   Customer Care where Vodafone notify their Customer through their
   Customer App e.g. Vodafone ToBi App with a notification such as “Dear
   Customer, we apologize for the inconvenience cause by the failure of
   our base station. As a gesture of goodwill, we have provided you with
   5GB of Free Data valid for 1 week. Thank you for your understanding”

   Slide 16 VODAFONE POC 4 Business VALUE of Intelligent Service Impact
   using VOF

   This slide shows the Business VALUE Before and After the Solution of
   the POC in the city of Izmir for 3milllion subs accounting for 12% of
   total subs. in Turkey, across the dimensions 1) MMT-Resolution, where
   a people were saved in OPEX leading to a b% and €c k per year savings,
   2) Customer Complaints reduced number of calls by d k additional
   calls. Reduced OPEX by €e k per year, 3) Service Impact Total Traffic
   savings secured Revenue of €f k per year and 4) Customer Experience
   Impact g% Churn Rate reduction giving a secured customer lifetime
   value of €h k per year, with increased network NPS. Overall for the
   POC Total Annual VALUE of POC € i Million.

   Future value for whole of Turkey projected to be €j Million annually.

   Slide 17: KEY TAKEAWAYS – R.I.S.E Objectives & Business Impacts

   Summarises the differentiating Business RISE Objectives of the 4
   Champions and evidence how those objectives were met with their POC.
   Mainly the Business Impact of NEW Revenue, Revenue Savings, Customer
   Satisfaction and Efficiency.

   Slide 18: KEY TAKEAWAYS – Innovative & Futuristic

   This slide focuses on the Innovation part of RISE Objective.
   Highlights the Pioneering innovation from the 4 Champions. For
   Vodafone it is the unique use of the Smart DataCube and Rule Engine to
   determine which Voice and Data service users have had bad experience
   after a site/cell outage. For HKT it is use of Chatbot Co-pilot to
   assist the Engineer Pilot seamlessly with Service and Network E2E
   operations management. For IOH it is the Digital Twin of IP Network
   for B2B New Latency as a Service Business. For STC it is the
   monetization of Proactive Customer Experience to reduce Churn, Upsell
   new offers and FWA User growth expansion.


This Catalyst aims to provide a pragmatic framework for operation transformation which integrates processes, platforms, people (organizations) and technology.

China Mobile Communications Corporation

Saudi Telecom Company

Beijing ZZNode Technologies Co.,Ltd.

China Unicom

Nanjing University

SHENZHEN MASTERCOM TECHNOLOGY CO.,LTD

PT Telekomunikasi Selular

Awarded to the Catalyst that receives the most votes in the onsite voting at DTW’24 - Ignite

Accelerating cognitive growth on WISE investment

   #C24.0.667 Project Overview#

   ► The Challenge

   Established communications service providers are finding it difficult
   to sustain growth through their core network operations alone, as
   mature markets see limited potential for increased revenue and income.
   Constant heavy investments in networking capabilities will not support
   long-term business success.

   Instead, CSPs must seek out new growth avenues by diversifying into
   areas that can generate sustainable growth and fresh revenue streams
   for the future. As resources become tighter, strategic and effective
   investment has become a critical strategic priority.

   While some CSPs recognize the need to look beyond traditional telecom
   for expansion opportunities, determining the best directions and
   sectors to invest in new "blue oceans" is challenging. With core
   telecom facing saturation, CSPs must carefully evaluate prospective
   new business domains.

   Thorough research is needed to identify expansion options that
   maximize current strengths and tap promising trends, while minimizing
   risk. Simply diversifying into unrelated fields risks large
   investments for uncertain returns.

   By deeply understanding industry changes and capabilities, CSPs hope
   to identify wise investments that power continuous business success
   through periods of transformation in the market. Insightful assessment
   of options will be key for developed market operators seeking to
   thrive.

   ► The Solution

   To meet the challenges of making strategic investment decisions, CSPs
   require a new approach to help ensure their investments are workable,
   innovative, satisfying for customers, and efficient. They need a
   catalyst to provide a "WISE" framework for intelligent
   decision-making.

   A WISE approach would not only focus on revenue generation, but also
   consider customer experience, innovation potential, and operational
   efficiency. It would help CSPs:

   >Ensure investments are practically feasible (Workable)

   >Explore new opportunities through disruptive ideas (Innovative)

   >Satisfy customer needs that drive value and loyalty (Satisfying)

   >Optimize resources and costs for maximum return (Efficient)

   Adopting such a balanced, win-win perspective would allow CSPs to
   thoughtfully evaluate diversification options or new business domains.
   It would guide them in pinpointing investments that align business
   objectives over the short and long term. A WISE framework could power
   smarter expansion strategies for sustainable growth in changing times.
   Going beyond traditional metrics, it aims to strategically position
   CSPs for future success.

   ► Team Collaborations

   The team consisting of 5 champions (10+companies coz several
   subsidiaries from China Mobile) and 4 participants came together to
   research and develop a framework for making strategic investment
   decisions. The goal was to design an intelligent, data-driven approach
   to help ensure the company invests wisely.

   #Diverse Champion Business Use Cases#

   →HKT：WISE Investment Practice: Fueling Growth in FinTech

   By applying the WISE approach, HKT decided to enter the new FinTech
   business. Created and developed Tap&Go, the first mobile wallet in
   Hong Kong. HKT also collaborated with leading payment platforms like
   Apple Pay, Android Pay, and UnionPay Mastercard. Additionally, they
   created virtual and physical bank cards.

   →China Mobile Guangxi：Wise cost management enables efficient
   allocation of corporate resources and empowers high-quality
   development

   By applying the WISE approach, China Mobile Guangxi successfully
   enables efficient allocation of corporate resources and empowers
   high-quality development.

   →China Unicom：Intelligent Digital Support System Enables 5G Services

   By applying the WISE approach, China Unicom established the
   Intelligent Digital Support System under the Outcome-Based Decision
   Intelligence framework focus to improve on 5G services.

   →Telkomsel：Relying on GenAI to improve network value

   By applying the WISE approach, Telkomsel believe that CSPs must
   balance network costs and operations to survive. With 85% global
   smartphone adoption, adding customers is no longer viable. Remaining
   competitive

   requires optimizing Capex and reducing Opex, challenging CSPs who
   already seem streamlined and effcient. An autonomous network solution
   integrated with GenAI is needed to address this challenge.

   →China Mobile Jiangsu：Data Intelligence Empowers Commercial Complex
   Marketing Cooperation

   By applying the WISE approach, China Mobile Jiangsu company joins
   hands with commercial complexes, industry digital technology solution
   providers and industry partners to focus on the demands and challenges
   of commercial complex business development, helping to achieve
   high-quality business operation transformation covering the entire
   process of marketing customer acquisition, precision marketing and
   retention, and accelerating the digital economy empowers the real
   economy to achieve sustainable economic growth.

   →China Mobile Beijing：Home broadband business high-quality development
   based on holistic service experience management system

   By applying the WISE approach, China Mobile Beijing established a
   customer-centric service operation system to enable high-quality
   development of home broadband services.

   #Main TM Forum Assets Used or Contributed#

   This Catalyst team used and contributed XX+ TMF assets.

     * Apart team-mates leading two members projects (DT4DI, ODE,),
       members also actively use and contributed to TMF assets that
       related to multiple TMF members projects (e.g. ODE, ODA, DT4DI,
       AN, AIOps).

     * We believe the long-term sustainability recipe shall combine value
       creation & measurement (e.g. DT4DI, ODE, ) with autonomy and
       efficiency (AO) in the context of the TM Forum ODA framework.

   #Impact on Industry#

   Initially, the goal of developing the WISE framework was to help
   telecommunications companies make strategic investment decisions
   focused on sustainably growing their core services. This included
   advising on investments in network infrastructure and
   telecommunications technology upgrades. However, it was recognized
   that the WISE approach could provide value beyond a single sector. It
   could guide companies in identifying new business directions and
   opportunities for diversification.

   In other words, the WISE investment evaluation method was designed to
   be applicable across all types of companies, not just those in
   telecommunications.


Balancing investment strategies through AI-driven lean management 

Verizon Communications

GlobalLogic

Amazon Web Services, Inc.

Telkom SA

Mobile Telecommunications Limited

Awarded to the Catalyst that demonstrates exemplary utilization of technology to make a difference to positively impact both community welfare and organizational culture, while ensuring attainment of sustainable development goals.

Accelerating telecom’s sustainability journey

   Welcome to the Future of Sustainable Telecom!

   Imagine a world where every action you take reduces your carbon
   footprint. Picture arriving at a mobile store or ecommerce site and
   effortlessly finding eco-friendly products tailored to your needs.
   This is the personalized, sustainable experience we aim to deliver.


   Our Solution

   Introducing our catalyst for sustainability in telecom: a
   comprehensive platform designed to reduce Scope 3 carbon emissions by
   integrating sustainable capabilities across digital and assisted
   channels. Leveraging advanced data analytics and generative AI, we
   provide transparent, actionable insights and recommendations to help
   consumers make sustainable choices.


   Key Features and Benefits

   Through Digital Channels:

     * Transparency on Emissions: Using Open APIs, we offer consumers
       full visibility into their carbon emissions.

     * AI-Driven Recommendations: Our platform uses generative AI to
       suggest eco-friendly products, plans, and promotions during the
       customer's digital journey.

     * Promotion of Refurbished Products: Encouraging the use of
       refurbished products to minimize electronic waste.

     * Optimization Tips: Offering practical advice to optimize device
       usage and reduce carbon footprints.

     * Promote Take-back Programs: Take-back programs empower customers
       to actively participate in sustainability efforts by generating a
       secondary market for refurbished products, effectively recycling
       end of life products.

   Through Assisted Channels:

     * Eco-Friendly Recommendations: Providing consumers with
       personalized suggestions for products that reduce carbon
       emissions.

     * Promotion of Refurbished Products: Actively promoting refurbished
       products to lessen environmental impact.

     * Carbon Emission Calculation: Calculating device CO2 emissions
       based on usage, battery consumption, and battery health, with
       monthly updates for customers.

   Industry Challenges

   The telecom industry faces significant sustainability challenges.
   Customers are increasingly aware of their carbon footprints and expect
   companies to help them reduce their environmental impact. Meeting
   these expectations requires innovative solutions and transparent
   communication.

   Addressing Traditional Gaps

   Traditional approaches often overlook the importance of
   sustainability, end-of-life management, bombarding customers with
   irrelevant messages and ignoring their environmental concerns. Our
   platform changes this by delivering relevant, eco-conscious
   recommendations, promoting take-back programs, enhancing customer
   satisfaction and loyalty.

   Advantages of a Sustainable Approach

     * Increased Customer Satisfaction: By addressing individual
       environmental concerns, we improve customer engagement and
       loyalty.

     * Higher Sales of Eco-Friendly Products: Tailored recommendations
       boost sales of sustainable products.

     * Improved Brand Loyalty: Demonstrating a commitment to
       sustainability strengthens brand loyalty and reputation.

     * Effective take-back programs contribute to increased revenue by
       generating a secondary market for refurbished products.
       Additionally, take-back programs can reduce the costs associated
       with raw material procurement and manufacturing, leading to
       improved profit margins.

   Our Framework for Sustainable Engagement

   This catalyst proposes a radical shift to an open, cloud-native,
   AI-driven framework for digital engagement, designed to support
   fast-changing customer expectations and drive sustainability. Join us
   in revolutionizing the telecom industry by making every interaction
   count towards a sustainable future


This Catalyst aims to reduce Scope 3 carbon emissions for champions by enabling multiple sustainable capabilities at various touchpoints across digital and assisted channels.

Special mention was awarded to the team based on the deliberation by Judges' onsite on recognizing another Catalyst project which held strong potential. 

China Telecommunications Corporation

Beijing University of Posts and Telecommunications

Primforce Technologies Ltd.

Tage I-driver

ZTE Corporation

China Telecom Fufu Information Technology Co., Ltd.

Inner Mongolia Pingzhuang Coal Industry (Group) Co., Ltd.

Hangzhou International Innovation Institute of Beihang University

AI Agent & 5G: Mining with drones & autonomous trucks

   C24.5.727_AI Agent & 5G Mining with drones & autonomous trucks


Growing revenue by bringing AI-enabled network service quality assurance into autonomous transportation in the open-pit mining industry 

AsiaInfo Technologies (China), Inc.

BroadTech Technology Co., Ltd

AI agent empowering higher autonomous level

   AI Agents transforming telecom: Efficiency, experience, and beyond.

   Welcome to join us at C12 booth in Hall 3 for details!

   CSPs face growing challenges in driving business growth while managing
   increasingly complex operations. Current siloed AI deployments limit
   efficiency, hinder ROI assessment, and create barriers to staff
   engagement with AI. The rise of Large Language Models (LLMs) and AI
   agents presents a transformative opportunity to address these
   challenges. However, they also present unique technical obstacles,
   such as reconciling the deterministic requirements of applications
   with the inherent uncertainty of LLM outputs, enhancing LLMs' accuracy
   in complex task planning, and improving their ability to continuously
   reflect and adapt during execution.

   Participating operators and vendors have reached an industry consensus
   that LLM-based AI agents are the key to tackling these issues. They
   also point out that operators need a systematic approach to guide the
   application of this advanced technology in production to achieve goals
   such as improving operational efficiency, enhancing customer
   experience, and exploring rapidly evolving demands, ultimately
   reaching a new level of autonomous operations.

   This innovative project pioneers the introduction of an LLM-based AI
   agent implementation framework and technical architecture, promoting
   the seamless integration of LLMs and AI agents with telecom operator
   processes. The implementation framework includes the VOF value model
   and execution system, adhering to industry standards such as ODA,
   AIOps, DT4DI, and AOMM, ensuring scalability and adaptability in
   telecom business cases. The technical architecture applies the
   operator's digital twins and domain knowledge to large model training.
   The framework proposes the use of engineering methods to effectively
   reduce AI agent hallucination and lower the threshold for business
   personnel to write agents, greatly improving the reliability and
   usability of AI agents and making them applicable to multiple value
   streams in telecom operations, maintenance, and customer experience
   management.

   In this project, China Telecom and HKT conducted pilots in areas such
   as broadband home self-service, customer complaint handling, and VVIP
   user experience assurance, achieving tangible results in operational
   efficiency improvement, operational cost savings, and customer
   satisfaction enhancement. Operators plan to extend the solution to
   support a wider range of areas, including new business development,
   stable and secure operations, operational efficiency improvement, and
   green energy-saving initiatives. This project sets a new benchmark for
   best practices for other telecom operators and vendors. Furthermore,
   participants are actively collaborating to participate in TM Forum
   standard construction, promoting broader industry cooperation and
   encouraging more partners to embark on this transformative journey
   together.


Making network operations more accessible with large language models

SK Inc. C&C

Dell Technologies Inc.

SK Telecom Co., Ltd.

MATRIXX Software

Compax Software Development GmbH

OMANTEL

Nvidia

AI chat agent: The game-changer for telecoms

   All you have to do is follow the AI journey we have prepared. Let's
   get started!


A new breed of chatbots which truly understand telco data

Awarded to the Catalyst that offers the best solution to leverage GenAI to drive a 30% increase in EBITDA and operational efficiency.

Aria Systems Inc.

Telecom Argentina, S.A.

Vodafone Group

Salesforce

Calvi Business Software B.V.

Vodafone GmbH

Nespon

Converge ICT Solutions Inc.

AI-driven EBITDA mastery: Revolutionizing customer journeys

Remodeling Revenue Journeys with Generative AI and Intent Analysis to deliver 30%+ EBITDA growth and operational cost saving

PT Telekomunikasi Indonesia International

NTT Group

UBiqube

Chunghwa Telecom Company LTD

Cognizant Technology Solutions

Orange

This award recognizes the team that has developed the most innovative and futuristic technology solution aimed at driving digital transformation within the industry.

AI-driven network automation for traffic and service resilience

Empowering networks with AI: Boosting resilience, reducing costs, and unlocking new telecom possibilities.

Hansen Technologies

TELEFONICA

Prodapt North America, Inc

Viasat, Inc.

NTT DATA CORPORATION

Telefonica Germany GmbH & Co. OHG

AwareX, Inc.

Aussie Broadband Limited

AI-driven offer lifecycle management

Harnessing AI to optimize offers and target investment 

China Communication Service Application and Solution Technology CO.Ltd

Whale Cloud Technology Co., Ltd

AI-driven product configuration and provision

   In the rapidly evolving global telecommunications market, we face
   multiple challenges, including infrastructure disparities, economic
   imbalances, and diverse user demands. To meet these challenges,
   customized product development is essential, but it often comes with
   high costs and long cycles.

   To overcome these bottlenecks, we have optimized the product
   configuration process using AI technology. By integrating standardized
   services, componentized design, and AI algorithms, we achieve rapid
   iteration and efficient deployment of products, significantly
   shortening time to market and flexibly adjusting strategies based on
   market feedback.

   If you are interested in our Catalyst project, we invite you to browse
   the Arena Presentation or quickly grasp key information through the
   project overview. For a deeper understanding of the project details,
   you can read the project documents and watch the explanatory videos to
   gain more comprehensive information. Additionally, we provide an
   on-site presentation PPT and demo video to help you visually
   experience the transformation journey from Telco to TechCo. We look
   forward to your participation in exploring this exciting
   transformation together.


Reducing launch time from months to minutes with modular service designs

Awarded to the new Phase 1 Catalyst team that demonstrates the most compelling and innovative solution.
(formerly award category - titled as  Best New Catalyst)

Inspur Communication Information Systems Co., Ltd

ADVANCED INFO SERVICE PLC. (AIS)

Awarded to the Catalyst team with the most innovative & futuristic solution aimed towards bringing digital transformation to industry. 

Awarded to the Catalyst that demonstrates best use of AI & Automation to drive efficiency & growth. 

AI for customer perception network optimization

   We are pleased to present our achievements for our Catalyst. Please
   visit our Kiosk 'C3' for further details.


Anticipating customer pain points through AI-led digital twins

Econet Wireless Zimbabwe

Subex Inc

KPMG International

Safaricom PLC

Torry Harris Integration Solutions

Default category. All Moonshot Catalysts are eligible. Winner selected via onsite voting.

AI-powered fraud defense: Turning vulnerability into profitability

Reimagining fraud management in the digital age through the use of AI agents and secure data sharing

Agerpix

Telefonica Brasil S.A.

Ciena Corporation

AI-Powered sustainable smart farming

Enhancing smart farming with data analytics and GenAI for sustainable agriculture, optimizing energy and resources, and fostering a greener future

AI-powered sustainable smart farming - Phase II

Locatium.AI

Netradar

EITC  (DU)

Snowflake Inc.

Iquall Networks Inc

AI Smart CapEx for green and efficient network investments

   How will the success of the solution be measured?

   The main benefits of our product are, firstly calculating accurate
   per-technology traffic forecasts (3, 6, 12, 18, 24,... months down the
   line) and secondly optimizing the network rollout plan to serve that
   future demand.

   To measure success of the traffic forecasts, we track deviations
   between our traffic forecasts and the actual traffic demanded per site
   and technology over a period of time.

   To measure the success of the rollout plan, a naive approach would
   focus on a comparison of the optimization algorithms, comparing the
   Smart CAPEX-optimized rollout plans versus rollout plans calculated by
   other approaches (more simplistics approaches such as Golden Sites or
   manual rollouts calculated by the CSP’s Network Planning teams). This
   has the advantage of being an objective, simple to calculate metric.
   This would be a typical lab measurement, and it would be a typical
   “engineering” approach.

   However, we strive to go beyond this and provide a holistic view of
   how successful our tool and our methodology are. We can not simply
   focus on the mathematical elements of the solution while ignoring the
   market environment, we are not operating in a vacuum: Calculating an
   optimized rollout for a traffic that is not there brings no benefits
   to the CSPs. We need, firstly, to build an accurate traffic
   projection, and only then we should focus on how good our optimization
   algorithms are.

   Looking at previous deployments in several countries, AI-ML Smart
   CAPEX unlocks CAPEX and OPEX efficiency gains of 15-20% on the new
   Network investments and a significant OPEX saving on the existing
   Network Infrastructure.


Optimizing network rollout autonomously for radio access and fiber

Optare Solutions

Elisa Polystar

Elisa Corporation

Case On IT SL (MedUX)

Awarded to the team that shows the most powerful use of TM Forum assets in their Catalyst project and quantify the benefits of using these assets.

Autonomous CEI for zero-touch 5G and wifi networks - Phase IV

Proactively preventing degradation of fixed and mobile services

Autonomous CEI for zero-touch 5G and wifi networks - Phase V

Telecom Italia SpA

Futurewei Technologies, Inc.

Infosim GmbH & Co. KG

Autonomous networks hyperloops - Phase IV

This Moonshot Catalyst shows how  CSPs can use the Metaverse to enable seamless, high-quality connected experiences in the industrial, emergency services, and energy sectors.

Awarded to the Catalyst that demonstrates best use of innovation to meet the evolving needs of B2B and B2B2X environments. 

ESRI

Celfocus

Intersec

Antel-Uruguay

MTN South Africa

Autonomous networks hyperloops - Phase V - virtual command center as a service

Connecting disaster relief reliably through an AIOps virtual command center

Amdocs Management Limited

solvatio AG

Ernst & Young

Turknet

Beyond chatbots – Revolutionizing telecom with advanced generative AI

Establishing customer loyalty through best practice in advanced AI 

Microsoft Corporation

Frontier Communications

Beyond chatbots: Revolutionizing telecom with advanced generative AI - Phase II

Empowering tomorrow's telecom: Driving innovation with Generative AI and AI/ML for proactive customer engagement and seamless digital excellence

Tata Consultancy Services

Infosys

Evergent Technologies, Inc.

i2i Systems

Botswana Telecommunications Corporation

Etisalat UAE

BiMa: Billing integration for marketplaces - Phase II

   Catalyst Team The work of the Billing Hub Catalyst team is


How to simplify invoicing as CSPs look beyond connectivity

Incognito Software Systems

OryxGateway FZ LLC

Red Hat, Inc.

Future Connections Holding B.V.

GCI Communication Corp

Vietnam Posts and Telecommunications Group (VNPT)

Claro Brasil

CABOOM! Converged access B2B2C over ODA marketplace – Phase III

Elevating CaaS to new heights with immersive experiences

TELUS

TerreStar Solutions Inc. DBA Strigo

Mavenir Systems

ETIYA

HCL Technologies

Airbus

Cellular to satellite communication

Optimizing standardized system architecture for ubiquitous cellular and satellite systems experience

This award is presented to the Catalyst that effectively addresses future connectivity needs by offering innovative and commercially viable technology solutions utilizing the capabilities of the Metaverse.

Juniper Networks Inc

Mobile Telecommunications Saudi Company (Zain KSA)

NTT QONOQ, INC.

Sri Lanka Telecom PLC

Netcracker Technology

Closing the metaverse chasm: Monetizing the ecosystem

   Proposed Solution

   Our catalyst demonstrates how CSPs and partners can monetize new
   immersive social experiences, accessible to the mass-market, through
   the entire spectrum of extended reality. We will achieve this with a
   replicable metaverse foundation that that can work with any 3rd party
   or CSP immersive experience, linking together the platforms users care
   about. And we expand the monetization potential with a focus on B2B2X.
   In doing so we help CSPs adapt to any immersive experience,
   transforming exploratory metaverse solutions into a viable and
   profitable ecosystem business across many industries.

   Please view the content below to get details on every aspect of our
   innovative solution. And enjoy highlights of the demo that you can be
   immersed in at DTW! We look forward to seeing you there.


Simplifying and monetizing relationships within the metaverse community and across platforms.

Ericsson Inc.

Tsinghua University

China Academy of Information and Communications Technology(CAICT)

Nokia

Creating a sustainable digital future: low-carbon networks

   Welcome to our catalyst " Creating a sustainable digital future:
   low-carbon networks"!

   ---------------------------------------------------------------------

   1.Background

   The most urgent global challenge we currently face is undoubtedly
   climate change, which will have far-reaching effects on future
   generations. To ensure a successful digital and low-carbon transition
   within the necessary timeframe, it is imperative that we utilize
   technologies that facilitate rapid emission reductions.

   Recognizing the significance of its role in combating climate change,
   China Mobile has released its 2022 Sustainable Development Report,
   outlining its commitment to implementing green and low-carbon
   operations to conserve energy and protect the environment. By 2025,
   China Mobile aims to achieve a minimum 20% improvement in energy
   efficiency, save over 40 billion kWh of electricity, and contribute to
   emissions reductions both within the company and society as a whole.
   Additionally, the GSMA has set an industry-wide challenge to attain a
   significant breakthrough in achieving zero emissions by 2030, with a
   target of sourcing at least 70% of all network electricity from
   decarbonized or renewable sources.

   However, ambition is just the start. Equally important is the
   implementation of effective strategies to achieve these goals. In this
   regard, China Mobile is committed to creating a more sustainable
   digital future by establishing a low-carbon network. This entails
   developing and adopting innovative approaches and technologies that
   minimize carbon footprint while ensuring connectivity and efficiency.

   The Radio Access Network (RAN), which includes base stations and all
   associated passive infrastructure like air conditioners, inverters,
   and rectifiers, is observed to be responsible for 65% of the energy
   consumption in China Mobile's network. Over 30% of this 65% energy use
   can be attributable to the cooling systems. Additionally, less than 1%
   of the mobile network's overall energy is accounted for by renewable
   sources. Therefore, we have established three primary goals for this
   Moonshot Catalyst.

   Goal 1: The enhanced energy-saving features of the base stations aim
   to achieve “Zero bit Zero watt” within the low-load period, resulting
   in an extra 15% reduction in energy consumption.

   Goal 2: To decrease the inefficiency in energy consumption of the base
   station equipment rooms, with a specific focus on the cooling systems,
   the Power Usage Effectiveness (PUE) of the equipment rooms will be
   lowered to 1.3.

   Goal 3: We will improve the efficiency of electricity conversion from
   renewable energy sources like solar photovoltaic and wind power to
   achieve a higher return on investment (ROI). Furthermore, AI-based
   real-time monitoring and energy management systems will be implemented
   to ensure a stable power supply to the base stations. Our goal is to
   increase the proportion of renewable energy in base stations to 15%.

   By working with industry partners together, China Mobile can pave the
   way for a greener, more sustainable future and safeguard the
   well-being of generations to come.

   2.Catalyst Innovation solution

   We leverage end-to-end innovative technologies to develop a greener,
   low-carbon, and environmentally friendly network through enhancing BS
   functions, implementing a systemic integration solution for equipment
   room, and employing intent-driven energy efficiency management.

   UC1: Energy saving functions enhancement for base stations

   Enhancing the atomization capabilities of energy-saving technology is
   crucial for improving existing energy-saving technologies for base
   stations. Our project has developed an advanced symbol shutdown
   method. This method utilizes machine learning for traffic pattern
   identification and achieves intra-timeslot symbol scheduling and
   coordination. By effectively distinguishing between
   broadcast/reference signals and data transmission, channel shutdown
   can be applied within milliseconds. And BBU/RRU/AAU module design
   ensures that all modules can be shut down independently, and resources
   are scheduled by pooling based on subscriber-focused and
   service-focused. This approach guarantees efficient resource
   allocation and power management.

   UC2: BS-native AI balancing user experience and energy saving

   Our project applies native-AI (proposed by 6G) to the existing base
   stations, fully leveraging the computational capacity to enable
   machine learning and perception capabilities towards BS, providing
   more energy-efficient, reliable, and personalized network services. By
   deeply learning the service patterns and user preferences, BS
   intelligently optimizes network resource allocation based on real-time
   requirements. BS analyses measurement reports which are reported in
   milliseconds, achieving user location and network coverage perception.
   This enables intelligent network management, making real-time
   adjustments.

   Independent of cloud AI platforms, Native-AI enables BS to make
   real-time decisions, reducing latency and balancing the energy-saving
   and user performance.

   UC3: Systemic integration solution for equipment room

   Using existing sensors such as temperature and humidity sensors within
   the equipment room, along with meteorological data, and employing
   time-domain forecasting algorithms like Long Short-Term Memory (LSTM),
   the temperature can be predicted. Considering the requirements for
   equipment operation, remote adjustments of air conditioning
   temperature, fan speed, and other strategies can be implemented
   through NB-IoT technology. Additionally, based on the actual needs,
   functions like time-scheduled switch on/off and energy-saving modes
   can be enabled, effectively managing and optimizing the energy
   consumption of the air conditioning system, and lowering the Power
   Usage Effectiveness (PUE) of equipment room.

   UC4: Stable renewable power introduction.

   China Mobile wants to increase the power supply proportion of
   renewable energy to 15%, but solar and wind energy are unstable. We
   introduced MPPT (Maximum Power Point Tracking) controller into the
   project, which optimizes the power output of solar panels by
   continuously tracking and adjusting the operating point to the maximum
   power point of the panel. Meanwhile the status can be monitored on
   phone applications.

   UC5: Intent is introduced into AI platform

   Intent-driven strategies and visualization are essential components of
   our project. Our project introduced an intention engine which can
   identify and translate natural language inputs to obtain energy-saving
   strategies. Furthermore, we automate the execution of these strategies
   and provide visual representations of the results, tailored to the
   specific needs of operation and maintenance. It enables a more
   seamless and efficient energy-saving strategies by incorporating user
   intentions and preferences into the decision-making and execution
   stages, resulting in the L4 level of the Self Intelligent Network.

   3.Catalyst Innovation outcome achievement

   The "Creating a sustainable digital future: low-carbon networks"
   initiative holds the promise of revolutionizing and addressing
   Moonshot energy challenges in a number of ways.

     * Energy Efficiency : The catalyst solution has been verified by
       deploying it on China Mobile and AIS. It is estimated that
       additional 1,100 kWh per 5G site will be saved annually with the
       application of the mentioned energy-saving technologies. China
       Mobile's whole network with 2G/3G/4G/5G and NB-IoT is expected to
       save 12% energy by 2023, with the 5G network especially saving
       35%. This equates to an annual decrease of 2.9 million tons of
       carbon emissions.By significantly reducing energy consumption in
       base stations, it can help to contribute to a substantial decrease
       in energy usage and carbon emissions and promote sustainable
       development in the telecommunications industry.

     * Cost reduction: Network operators could experience significant
       cost savings as a result of the project's energy-saving strategies
       and cognitive capabilities. Operators can reduce operational costs
       and increase profitability by maximizing radio resource use,
       reducing waste, and incorporating renewable energy sources.

     * Improved User Experience: The project seeks to strike a balance
       between user experience and energy efficiency. Network resources
       will be distributed optimally based on real-time needs with deep
       learning of service patterns by integrating Native-AI into base
       stations. Additionally, by analysing measurement reporters at the
       millisecond level, user location and network coverage will be
       determined. The user experience can be improved by comprehending
       their needs.

     * Scalability and Replicability: The project incorporates open APIs
       based on TMF autonomous-networks-technical-architecture and
       supports various vendor configurations, allowing for seamless
       replication when the operators owns the similar spectrum band
       resources like AIS Thailand. The adoption of energy-saving
       technology deployment all around the world is accelerated by its
       scalability and compatibility by multiple network operators.

     * Technological Innovation: The project's innovative technologies
       and strategies have brought new opportunities and prospects to the
       telecommunications industry. It gives network operators more
       effective, adaptable, and intelligent solutions, spurring
       technical advancement and growth in the sector. These features
       include intelligent capabilities, self-adaptive regulation, and
       intent-based control.

     * Contribution to Global Low-Carbon Goals and Sustainable
       Development: The project supports global initiatives to reduce
       carbon emissions and combat climate change. It can assist in
       achieving the global sustainable development goals and ease the
       transition to a sustainable and environmentally friendly future by
       offering a reference implementation for base station energy-saving
       technologies, cutting back on reliance on conventional energy
       sources, increasing the usage of renewable energy, and lowering
       carbon emissions. Additionally, partnerships with verticals allow
       for the development of greener and more widely available 5G
       solutions, such as in the fields of environmental and animal
       protection, where 5G has already made a significant contribution
       to cost savings and carbon footprint reduction by displacing
       in-person routine inspections and interventions. Even in adverse
       weather, the sustainability of such methods is further enhanced by
       the deployment of low carbon 5G network.


This Moonshot Catalyst integrates intent into intelligent energy saving, aiming to build a greener, lower carbon, and environmentally friendly mobile network in a more humane and accessible way to better serve the digital world.

Projects

Projects

AI-powered sustainable smart farming - Phase II

Autonomous CEI for zero-touch 5G and wifi networks - Phase V

Beyond chatbots: Revolutionizing telecom with advanced generative AI - Phase II

Empowering B2B sales through GenAI: Tailored offering, smarter selling

Generative orchestrator - Automating product and network alignment with GenAI

Intelligence driven consumer journey - prepaid

Interoperable logical resource management platform - Phase II

Mighty Minions: Unleashing domain-specific GenAI via SLMs - Phase III

Quality of Trust - Addressing spam to unleash monetization

Upcoming showcase

DTW – Ignite