Catalyst submissions in matchmaking report - 49 Total number AI, Data & Analytics - TM Forum
←
→
Page content transcription
If your browser does not render page correctly, please read the page content below
Catalyst submissions in matchmaking report
Total number 49
This report was created on June 9, 2021
AI, Data & Analytics 11
Autonomous Operations 12
Beyond Connectivity 23
Cloud Native IT & Networks 15
Customer Experience & Trust 9
Human Factor 1
1Table of Contents
Submission: Standardised value evaluation system based on the open digital ecology C21.0.268 ..................4
Submission: 5G: Accelerating Smart Aviation (Phase IV) C21.0.267..................................................................6
Submission: Exploring the transformation towards an R&D-backed O&M system C21.0.266............................8
Submission: Autonomous customer experience index for zero-touch 5G network C21.0.265 ...........................9
Submission: One-stop management and operation for 5G business to business (B2B) services C21.0.264....10
Submission: Dynamic edge enabled applications C21.0.262...........................................................................11
Submission: Force 10 - The vertical industries enabler for telecommunications C21.0.258 ............................13
Submission: Service Mesh for cloud-native business applications C21.0.256..................................................14
Submission: Multi-Operator/Multi-Vendor Resource Pooling and RAN Slicing C21.0.254 .................................16
Submission: Collaborative Partner On-Boarding C21.0.246 .............................................................................17
Submission: 5G Chargers C21.0.245 ...............................................................................................................18
Submission: Standard YANG equipment model C21.0.230 ..............................................................................19
Submission: Ecosoft eHealth C21.0.224 ..........................................................................................................20
Submission: Telco data-space C21.0.223 .......................................................................................................22
Submission: Wireless network autonomy management based on knowledge graph C21.0.217 .....................24
Submission: Unified MEF/TMF compatible API interoperability C21.0.216 .......................................................25
Submission: Capability sharing ecological platform for the campus scenarios of smart city C21.0.215..........26
Submission: 5G digital marketplace - Phase II C21.0.214 ................................................................................28
Submission: Measurements of trust in AI environment C21.0.213 ..................................................................29
Submission: Intent-driven autonomous networks for smart mobility C21.0.211..............................................30
Submission: Leveraging AI and big data to realize full lifecycle resource management for cloud and network
providers C21.0.210 ........................................................................................................................................31
Submission: Zero Touch Operations (ZTO) C21.0.209 .....................................................................................32
Submission: Smart O&M for private data centers C21.0.206...........................................................................33
Submission: Intelligent operations of leased line service C21.0.205 ...............................................................34
Submission: DONEG-AI (Dynamic Operational Network Engineering & Governance, Utilizing AI) C21.0.204 ..36
Submission: Trusted data sharing enables financial security compliance C21.0.203 ......................................38
Submission: Autonomous networks hyperloops - Enabling self-X digital services for smart-X verticals Phase II
C21.0.202 ........................................................................................................................................................39
Submission: Digital Telco for CSPs, with seamless IAAS, PAAS and NAAS orchestration: Framework for CSP
collaboration - Phase 3 C21.0.201 ...................................................................................................................41
Submission: Autonomous vehicles using 5G, self-managed network slicing over tactical HDC (hyper-
convergent datacenter) C21.0.200 ..................................................................................................................43
Submission: Digital twin network for IOT C21.0.199 ........................................................................................44
Submission: AI/ML-based customer experience analytics C21.0.197...............................................................45
Submission: Smart home business proactive and predictive maintenance C21.0.192 ....................................46
Submission: Smart building management-in-a-box, powered by telcos C21.0.191 .........................................47
2Submission: Digital transformation of Hawe Telekom C21.0.190 ....................................................................48
Submission: 5G Enhanced Manufacturing C21.0.188 ......................................................................................49
Submission: Blockchain-based equity exchange alliance C21.0.186 ...............................................................51
Submission: Smart IDC - Intelligent energy saving for data centers C21.0.185...............................................53
Submission: 5G next-gen performance with cloud gaming C21.0.176 ............................................................54
Submission: Digital twin network on service provisioning C21.0.175 ..............................................................55
Submission: Open digital twin framework for smart city ecosystem C21.0.174 ..............................................56
Submission: Settlements on co-branded gift cards C21.0.166 ........................................................................57
Submission: Automated Operational Problem Solver using AI and AR C21.0.164............................................58
Submission: Make banks smarter with autonomous network C21.0.159 .........................................................59
Submission: AI empowers 5G intelligent operation Phase II C21.0.158 ...........................................................60
Submission: Operation as a service C21.0.156................................................................................................61
Submission: Digital Business Marketplace - Phase 4 C21.0.154 ......................................................................62
Submission: Enhanced e-channel marketing C21.0.08 ....................................................................................63
Submission: Blockchain based 5G sharing ecosystem C21.0.07......................................................................64
Submission: 5G cloud & AI convergence of BOSS C21.0.03.............................................................................66
3Submission: Standardised value evaluation system based on
the open digital ecology C21.0.268
URN C21.0.268
Theme [Human Factor]
Project name Standardised value evaluation system based on the open digital ecology
Vision Through the unified management portal of digital ecology, gathers and mines the value
data of the business platform,the data platform and the technology platform, and builds a
digital ecological standardisation value evaluation system based on open capabilities
Description We want to build a system that gather multi-dimensional, multi-level and multi-channel
capability full-volume data to form the basis of digital asset value evaluation model covering
business value, user experience and operation quality, and relies on visual digital board to
display the production and operation value evaluation and ranking of each capability in
real-time. Meanwhile, applies artificial intelligence technology to complete in-depth
analysis.
Solution scope
As a platform for operator organizations to manage capacity
I need to collect basic data on the shelf capacity, and provide the classification and
evaluation for it.
So that I can conduct daily management from the multidimensional perspectives of
operation (manage and encourage the ability group of shelf capacities),after evaluating the
value of capacities in each different field.
To do this I need to collect and clean data,formulate standards,collect indicatiors of various
dimensions, bulide evaluation models,and determine display methods.
I know I am successul when capacity value evaluation system formed. This system can
score and rank the ability group from the perspectives of business value, operational
quality and customer experience,etc.Meanwhile, it can help managers make easy
decisions and excourage the positive development of production and operations.
Topics [Analytics, Culture Transformation, Digital Customer Experience, Digital Ecosystem Mgmt,
IT Transformation, Open APIs]
Confirmed China Mobile
champions:
Confirmed SI-Tech,Asiainfo,Hewlett Packard Enterprise
participants:
Contact the C21.0.268 Catalyst team
Please note the URN C21.0.268 to enter into contact form.
45
Submission: 5G: Accelerating Smart Aviation (Phase IV)
C21.0.267
URN C21.0.267
Theme [Cloud Native IT & Networks]
Project name 5G: Accelerating Smart Aviation (Phase IV)
Vision Explore how CSPs can provide and manage 5G services that deliver intent-driven business
outcomes for enterprises
Description Explore how CSPs may best design, provide, manage, and govern 5G connectivity and
associated services to enterprise customers that deliver intent-driven business outcomes
for CSPs (as the provider) and enterprises (as the consumer).
It focuses on aviation as the example industry but the learnings will be applicable across all
industries.
It will address topics across service design, ordering, orchestration, assurance, charging
and intent-driven management to drive optimized business outcomes.
Solution scope As a 5G service provider
- I need to offer my enterprise customers guaranteed, configurable 5G connectivity services
that are managed using closed loop control
- So that I can monetize my 5G network investments with compelling, cost-competitive 5G
propositions
- To do this I need agile solutions that expose, configure and assure such services that can
be governed through intent-based business priorities
- I know that I am successful when I achieve increased adoption and revenues for
configurable enterprise 5G services
As an enterprise
- I need to be able to easily configure / tailor cost effective 5G connectivity provided by my
CSP together with high level business priorities for its operation
- So that I can reliably connect my applications and devices using mobile means that is
secure, guaranteed and trusted
- To do this I and my applications and devices need to be able to easily and flexibly
configure such connectivity
- I know that I am successful when such predictable connectivity drives service and
operational innovation in my business
Topics [5G, AI/Machine Learning, Analytics, Business Assurance, Digital Customer Experience,
Edge Computing, IT Transformation, IoT, Network Automation, Open APIs]
Confirmed BT,JT (Jersey) Ltd��
champions:
Confirmed MYCOM OSI,i2i Systems,Oracle
participants:
Contact the C21.0.267 Catalyst team
6Please note the URN C21.0.267 to enter into contact form.
7Submission: Exploring the transformation towards an R&D-
backed O&M system C21.0.266
URN C21.0.266
Theme [Cloud Native IT & Networks]
Project name Exploring the transformation towards an R&D-backed O&M system
Vision Build an R&D-backed O&M system to support agile development and efficient O&M of
various applications, achieving the goals in O&M cost reduction, service quality
improvement, and value monetization.
Description R&D-backed O&M is to build an independently-developed system for automatic and
intelligent O&M, including a set of agile, efficient, and closed-loop standard work
processes, an iterative, incremental, efficient, and collaborative R&D mechanism supported
by in-house engineer teams, and an open, secure, trusted, and integrated tool chain, so as
to solve the problems of lengthy application development period and poor iteration
timeliness, and achieve agile and efficient network O&M.
Solution scope The solution includes a set of agile, efficient, and closed-loop standard work processes, an
iterative, incremental, efficient, and collaborative R&D mechanism supported by in-house
engineer teams, and an integrated tool chain, as well as best practices along four tracks:
project development, process building, role transformation, and approach change, and a
maturity assessment model for the R&D-backed O&M system.
Topics [Frameworx, Network Automation, Open Digital Architecture]
Confirmed SMART COMMUNICATIONS, INC.,SMART COMMUNICATIONS, INC,China Mobile
champions: Communications Corporation
Confirmed Hangzhou Eastcom Software Technology CO.,Ltd,Inspur Communication Information
participants: Systems Co., Ltd,Huawei Technologies Co. Ltd
Contact the C21.0.266 Catalyst team
Please note the URN C21.0.266 to enter into contact form.
8Submission: Autonomous customer experience index for zero-
touch 5G network C21.0.265
URN C21.0.265
Theme [Customer Experience & Trust]
Project name Autonomous customer experience index for zero-touch 5G network
Vision Fulfill the customer quality of experience implementing a close loop network that
reconfigures as needed making use of AI/ML algorithms
Description CSPs should be able to predict the network performance and its impact on the customer
experience and implement Zero-Touch solutions. Therefore, a new set of network analytics
tools, real time service assurance techniques along with ultra-fast big data processing are
required. Then, we are aiming to combine AI, data insights and automation techniques in
order to help CSPs to design, plan, optimize and operate the networks and IT infrastructure
to improve customer experience
Solution scope As a CSP that focus on continuously improving the customer experience
I need to measure customer experience and pro-actively implement zero-touch solutions in
5G networks
So that I can improve customer experience and reduce churn, and at the same time
improve automations and cost-efficiency
To do this I need to measure customer experience by means of Customer Experience
Index analytic models, to pro-actively identify actions and implement them in the network
based on automation techniques
I know that I am successful when the implemented solution involves zero-touch operations,
is highly reliable and can be fulfilled in a dramatically simple way
Topics [5G, AI/Machine Learning, Analytics, Network Automation]
Confirmed TELEFONICA
champions:
Confirmed ERICSSON,Tutela,DEVO,NTT DATA CORPORATION
participants:
Contact the C21.0.265 Catalyst team
Please note the URN C21.0.265 to enter into contact form.
9Submission: One-stop management and operation for 5G
business to business (B2B) services C21.0.264
URN C21.0.264
Theme [Beyond Connectivity]
Project name One-stop management and operation for 5G business to business (B2B) services
Vision It accelerates rapid innovation, replication and promotion of operators 5G B2B services.
Description 1. One-stop generation of network products: The 5G B2B industry scenario-based products
and offerings are continuously accumulated.
2. One-stop service provisioning: services shared existing slices can be provisioned in real
time. When physical resources are ready, service provisioning can be performed on day-
level.
3. Service SLA monitoring and assurance: real-time visualization of slice-level and service-
level SLAs, minute-level discovery of service faults, and 30-minute demarcation;
Solution scope ToB solution provides one-stop service subscription, one-stop service provisioning, and
tenant-level service SLA monitoring and assurance capabilities.
1) Provide omni-channel malls, products and offerings in all scenarios, allowing enterprises
to conveniently subscribe to 5G B2B services.
2) Provide one-stop design and generation for new network product, and multi-mode
provisioning capabilities.
3) Provides slice-level and service-level SLA visualization monitoring capabilities, minute-
level service fault detection, and 30-minute demarcation.
Topics [5G, Business Assurance, Digital Customer Experience, Edge Computing, Frameworx, IT
Transformation, Network Automation, Open APIs]
Confirmed China Mobile
champions:
Confirmed Inspur,Huawei,Nokia
participants:
Contact the C21.0.264 Catalyst team
Please note the URN C21.0.264 to enter into contact form.
1
0Submission: Dynamic edge enabled applications C21.0.262
URN C21.0.262
Theme [Cloud Native IT & Networks]
Project name Dynamic edge enabled applications
Vision To edge enable applications in a 5G network dedicated MEC scenario using an SD WAN
as the network slice so the slice can easily transgress partnered network providers and
also using a service catalog to manage the SD WAN service provision, the edge computer
and partner provided applications.
Description We have word doc with the details, will paste into form once we get enough agreement.
Solution scope User Stories
As a Service Provider
I need to provide enterprise customers with a 5G edge bundle to (1) enable edge
applications where the applications are self-managed or provided by a partner of the CSP
(2) provide private connectivity between enterprise locations in different geographies. (3)
allow the customer to self-manage.
so that I can establish new lines of revenue and grow revenues by moving my enterprise
customers into new mode of operation.
To do this I need to (1) orchestrate connectivity and edge compute through a catalog driven
structured model which supports self-management (2) integrate with connectivity partners.
I know that I am successful when a customer can self-order and manage the bundle
including quote, order, change and assure the service.
As a Service Provider
I need to enable vertically focused application partners.
so that I can expand the solutions that I offer to my enterprise customers.
To do this I need to be able to manage these services within catalogs then front end the
partner with quote, order and service management capabilities.
I know that I am successful when I can rapidly on-board new services from partners then
offer them with a bundle which includes edge compute and connectivity.
As a Service Provider
I need to support new diverse types of B2B services including SD WAN and Edge
Compute.
so that I can expand the solutions that I offer to my B2B customers
To do this I need to be able to define these services within visual catalogs as a design time
step then quote, order, bill and assure these services with a runtime experience which was
defined at design time
I know that I am successful when I can define the new service types proposed by our
champions
Topics [5G, Digital Customer Experience, Digital Ecosystem Mgmt, Edge Computing, Frameworx,
Network Automation, Open APIs, Open Digital Architecture]
Confirmed Vodafone
champions:
Confirmed Itential,Cisco Systems,DGIT
1
1participants:
Contact the C21.0.262 Catalyst team
Please note the URN C21.0.262 to enter into contact form.
1
2Submission: Force 10 - The vertical industries enabler for
telecommunications C21.0.258
URN C21.0.258
Theme [Beyond Connectivity]
Project name Force 10 - The vertical industries enabler for telecommunications
Vision The vertical industries platform provides a solution for Telecommunications service
providers to support separate network slices for vertical industries. The solution supports
onboarding of the industrial players, provisioning of the network slice, as well as
monetization of the slice based on the specific considerations of individual industries. In all
the key objective of the solution is to provide multi-tenancy of the network allowing to build
scalability and innovation at low costs of operation.
Description Telecommunications service providers need an easy way to onboard vertical industries
opening up several low latency use cases leveraging network slicing and edge computing.
They need to develop an ecosystem, provide apps for end customers & partners, monetize
network usage, integrate AI into slice operations, and generate a value from the
ecosystem. This requires a broad range of capabilities beyond the comfort zone, but will
also leverage the specific capabilities of the service providers.
Solution scope As a Telecommunications Service Provider I will need to build a network from ecosystem
partners, onboard end customers to offer them low level of latency, so that I can monetize
the value of interaction between the industrial partners and the end customers. To do this I
will need a moneitzation and orchestration platform to operate the network resources and
enable the new business scenarios. I will be sucessful by operating the network as a
platform for a wide variety of industrial use cases.
Topics [5G, AI/Machine Learning, Connect Car, Digital Customer Experience, Digital Ecosystem
Mgmt, Edge Computing, Frameworx, IoT, Media & Entertainment, Network Automation,
Open APIs, Open Digital Architecture, Smart City, Smart Finance, Digital Health]
Confirmed Deutsche Telekom AG
champions:
Confirmed SAP,IBM,ServiceNow
participants:
Contact the C21.0.258 Catalyst team
Please note the URN C21.0.258 to enter into contact form.
1
3Submission: Service Mesh for cloud-native business
applications C21.0.256
URN C21.0.256
Theme [Cloud Native IT & Networks]
Project name Service Mesh for cloud-native business applications
Vision This project optimizes modular design and loose coupling architecture, and implements the
cloud-native transformation of business applications based on the Service Mesh and K8S
Operator.
Description According to Service Mesh and K8S Operator Technology, China Mobile optimizes
operation and maintenance control, solves the issues in application deployment scenarios,
and improves the service quality of Open API. As a result, this project effectively achieves
open operation of enterprise capabilities for both internal and external users.
Solution scope As a Service Provider CSP
I need to
1) solve the problem that heterogeneous systems cannot be managed uniformly;
2) solve the problem that the service governance level of different systems accessing the
API gateway is low, and there is a lack of effective observable and controllable standards;
3) solve the problem of capability open operation for both internal and external users.
so that I can
1) greatly reduce the cost of distributed transformation;
2) realize the collaborative sharing of heterogeneous systems from different
manufacturers;
3) improve the service management level of different systems accessing the API gateway;
4) establish a set of observable and controllable standard system;
5) achieve effective coordination of capabilities between China Mobile headquarters and
provincial-level companies;
6) realize channel synergy in online and offline;
7) achieve capability open operations for internal users (such as provincial-level
companies) and external users (such as internet companies).
To do this I need to
1) transform a service mesh framework;
2) establish a set of observable and controllable standard system;
3) package and present as an Operator based on the above framework and standard
system.
I know that I am successful when
1) the user's application runs on the transformed service mesh framework, it can be
automatically observed and controlled;
2) China Mobile can review the quality of all services from end-to-end business.
Topics [IT Transformation, Open APIs, Open Digital Architecture]
Confirmed China Mobile
champions:
1
4Confirmed Asiainfo,Huawei,Navimentum Information System Ltd.
participants: ,Navimentum Information System Ltd.
Contact the C21.0.256 Catalyst team
Please note the URN C21.0.256 to enter into contact form.
1
5Submission: Multi-Operator/Multi-Vendor Resource Pooling
and RAN Slicing C21.0.254
URN C21.0.254
Theme [Cloud Native IT & Networks]
Project name Multi-Operator/Multi-Vendor Resource Pooling and RAN Slicing
Vision This multi-phase, TM Forum project intends to demonstrate advanced, 5G services across
Communications Service Providers (CSPs) to enable highest priority communications
during disasters/catastrophic events.
Description Network technologies such as 5G are envisioned to provide advanced services that are
dynamically customized to meet the needs of groups of users with defined/anticipated
Quality of Service (QoS). Network slicing splits a single physical network infrastructure into
multiple logically isolated networks enabling elastic resource scaling and enhanced
security. This approach will enable multiple operators/vendors to pool their resources
together to satisfy public safety needs during an emergency.
Solution scope As a Communications Service Provider I need to make 5G network resources available for
dynamic allocation to support focused and widespread disasters across multiple operators
so that I can serve and provide emergency responses to stranded users and provide
relevant public service information to affected people. To do this I need to provide complex,
geographically focused and geographically dispersed, emergency solutions. I know that I
am successful when the resources of multiple operators can be successfully orchestrated
to satisfy basic public safety needs (e.g., police, fire, ambulatory) during a disaster.
Topics [5G, AI/Machine Learning, Digital Ecosystem Mgmt, IT Transformation, Open APIs, Open
Digital Architecture]
Confirmed AT&T,KDDI
champions:
Confirmed Fujitsu,NMSWorks
participants:
Contact the C21.0.254 Catalyst team
Please note the URN C21.0.254 to enter into contact form.
1
6Submission: Collaborative Partner On-Boarding C21.0.246
URN C21.0.246
Theme [Beyond Connectivity]
Project name Collaborative Partner On-Boarding
Vision Develop an easy to use toolkit to help CSPs and partners excel at ecosystem business
models.
Description Phase 2 of the ecosystem playbook will explore collaboration between partners on
ecosystem capabilities building, mapping TM Forum assets for design and execution and
delivering solid business case inputs to new opportunities. We aim to demonstrate the
immense value in time to market and collaboration between ecosystem partners using the
playbook.
Solution scope As a CSP I need to collaborate with partners so that I can explore ecosystem capabilities
we can build mutually. To do this I need a collaborative framework to expedite the use of
TM Forum assets as well as other material to agree, define and scope ecosystem
capabilities.
Topics [5G, Connect Car, Culture Transformation, Digital Ecosystem Mgmt, Frameworx, IoT, Open
APIs, Open Digital Architecture, Smart City, Digital Health]
Confirmed STC
champions:
Confirmed CSG,Zira,Tr3dent,Torry Harris Integration Solutions,TCS
participants:
Contact the C21.0.246 Catalyst team
Please note the URN C21.0.246 to enter into contact form.
1
7Submission: 5G Chargers C21.0.245
URN C21.0.245
Theme [Cloud Native IT & Networks]
Project name 5G Chargers
Vision Modular end-to-end architecture for dynamic catalog and 5G Charging with 3GPP and TMF
aligned APIs and data models.
Description The ambition of this Catalyst is to illustrate the necessary convergence between GSMA /
3GPP and TMF through a complex use case combining real-time charging / rating issues in
a 5G context and using a catalog of offers, products and services that will be up-to-date in
real time following analysis of usages and customer behavior with partners using an AI
module.
Solution scope As a CSP
I need to charge and rate in real time customer usages, and to propose dynamically new
offers
So that I can furnish anti-bill shock service and propose tailor-made commercial offers
To do this I need to implement charging/rating exchanges with ODA and API TMF
requirements, and need to create a new type of Catalog
I know that I am successful when I can play the use case of the customer in roaming car. It
will be a success also when charging and rating processes will be implemented in two
separate components that will interact using TMF API.
Topics [5G, AI/Machine Learning, Connect Car, Digital Customer Experience, Digital Ecosystem
Mgmt, IT Transformation, IoT, Open APIs, Open Digital Architecture]
Confirmed Orange,Vodafone,Telenor ASA
champions:
Confirmed Tech Mahindra,SigScale,Whale Cloud,Oracle,Oracle Corporation
participants:
Contact the C21.0.245 Catalyst team
Please note the URN C21.0.245 to enter into contact form.
1
8Submission: Standard YANG equipment model C21.0.230
URN C21.0.230
Theme [Cloud Native IT & Networks]
Project name Standard YANG equipment model
Vision Open source based industry standard model created by communication providers and
equipment vendors to describe the physical attributes and layout of a network element and
define mechanisms to collaboratively create instances of the model.
Description We propose a standard reference model to define all vendor equipment that can be used
universally within the carriers OSS. Having a common reference model for equipment has
always been a critical part of OSS inventory management. Any company trying to migrate
from one OSS database to another can appreciate the tremendous fallout and difficulties
that occur when there are no guardrails to naming structure and associated parameters for
the equipment in the network.
Solution scope As a service provider I need to have a standard YANG model to describe a network device
and its various related components, so that I can consistently and uniformly manage the life
cycle of the device from planning, infrastructure and service provisioning, service
assurance, monitoring, upgrades and termination. To do this, I need a vendor neutral data
model in YANG. I know that I am successful when we have model that meets the needs of
service providers and caters to various types of equipment that exist currently on the
service provider network and will meet the future needs of the industry.
Topics [IT Transformation, Network Automation]
Confirmed Verizon
champions:
Confirmed Cognizant
participants:
Contact the C21.0.230 Catalyst team
Please note the URN C21.0.230 to enter into contact form.
1
9Submission: Ecosoft eHealth C21.0.224
URN C21.0.224
Theme [Autonomous Operations]
Project name Ecosoft eHealth
Vision This Catalyst will focus on delivering multi country services to the medical and academic
sectors via 5G slices for uses cases related to medical simulation, artificial intelligence and
virtual reality, collaborating with medical universities located in Milan, Paris and Tokyo and
leading medical solution providers.
Description Collaborating with the medical Universities located globally & leading medical equipment
vendors, we will focus on delivering services to medical & academic sectors via 5G slices
related to medical AI/VR simulation and on introducing the intent base approach. The
approach will be applied to the use case to prioritize and secure mission critical traffic with
satisfying the service intent. One of the goal is to enable operational automation & dynamic
scalability of NW resources with inter-carrier.
Solution scope As the University of Paris, I need to run a training & simulation session with other
universities abroad so that I can mutualize resources and benefit from specific expertise
and increase my audience. To do this I need to establish on-demand a reliable and high-
performance network (based on 5G slices) between Milan, Tokyo, and Paris. I know that I
am successful when the service can be ordered in minutes, established within one hour,
and billed according to usage. In addition, during my training session, I need to ensure QoE
thanks to advanced service assurance mechanisms.
As a Doctor, I need to access 3 D VR models of organs for teaching or to prepare for an
operation so that I can improve my diagnostic and gain time. To do this I need to establish
on-demand a reliable and high-performance network with low latency (based on 5G slices).
I know that I am successful when Health applications can be deployed at the edge and I
can manage distributed applications for privacy-sensitive healthcare data.
As the University of Meiji, I need to run my AI agent VICA to answer video calls in a
situation of emergency so that I can help in identifying precisely the patients' emotions and
providing real-time feedback to VICA.To do this I need to establish on-demand a reliable
and high-performance network with low latency (based on 5G slices). I know that I am
successful when the service can be ordered in minutes, established within one hour, and
billed according to usage. In addition, during my training session, I need to ensure QoE
thanks to advanced service assurance mechanisms.
Topics [5G, AR/VR, AI/Machine Learning, Analytics, Blockchain, Digital Customer Experience,
Digital Ecosystem Mgmt, Frameworx, IT Transformation, Network Automation, ONAP,
Open APIs, Open Digital Architecture, Digital Health]
Confirmed Orange,NTT,Telecom Italia Group,Universita degli Studi di Milano,Univ of Meiji,Chunghwa
champions: Telecom
Confirmed Nokia,Sybica,IOTA,Maruka
participants:
Contact the C21.0.224 Catalyst team
2
0Please note the URN C21.0.224 to enter into contact form.
2
1Submission: Telco data-space C21.0.223
URN C21.0.223
Theme [AI, Data & Analytics, Beyond Connectivity, Customer Experience & Trust]
Project name Telco data-space
Vision Telco stakeholders need to collaborate and share their assets to provide new services, for
that they need to share information, between IT systems OSS/BSS, within a data-space for
end-to-end services assurance or assets management
Description In order to provide to their customers services, different telco stakeholders need to
collaborate and share their assets. Indeed, this is for example required for offering B2B
multi-sites services for an industry 4.0 partner owning multiple factories in different
countries, or for B2B2C RAN sharing, inter Autonomous System or roaming. In order to
cooperate they need to share information between their different IT systems OSS/BSS
within data-space for E2E services assurance and management.
Solution scope As a telco provider, In order to provide to my customers new services, with new business
opportunities.
I need to collaborate with different telco stakeholders by sharing assets. Indeed, this is for
example required for offering B2B multi-sites services for an industry 4.0 partner owning
multiple factories in different countries, or for B2B2C RAN sharing, inter Autonomous
System or roaming.
To do this I need to cooperate by sharing information between different IT systems
OSS/BSS within a data-space, for end-to-end services assurance or assets management,
including configuration, report usages or troubleshooting data. Currently, the mechanisms
used to share these data is not automated and dynamic enough to ensure trusted dynamic
E2E service assurance. As a matter of fact, data is mainly shared manually. Furthermore
there is no trusted solution to assure that the information shared is not shared to other third
party without the agreement of the data owner.
So that I can share trusted data that can be either analyzed locally, at a network element
level, or else globally, for example to compute Key Performance indicators (KPIs) used
within a report usage or to provide configuration parameters to several distributed network
element that need to be orchestrated according to an agreement. However the usage of
these data should be restricted to the terms of the agreement between partners and the
related policy agreements. Ensuring the restrictions are not violated can only be achieved
within a trusted infrastructure: a dataspace [Gaia-X-TA].
So that I can, Within this data space infrastructure, shared data with data policy used by
connectors [Gaia-X] to make sure the access of this data is restricted to the partners
specified by the data owner. Connectors are also used to identify which agreed/certified
applications are allowed to manage, collect and analyze the data. In particular, a certified
application may be granted access to a specific dataset, be allowed to run on this dataset
while ensuring only the result of the application is disclosed to the corresponding partner
while the dataset remains hidden to that partner. The dataspace infrastructure thus
minimizes data privacy threats.
Furthermore the dataspace relies on different connectors, some of which may be deployed
within the infrastructure of a stakeholder, allowing data to be managed locally, i.e. in a
network element, without collecting all the data in a centralized connectors and thus
minimizing the related network traffic. For example, a probe could be launched within a
network element (VNF) equipped with a connector, provided with a certified application id.
The application could for instance be used to retrieve performance information or
2
2troubleshooting information of a network element.
I know that I am successful when Trusted cooperation could be performed between IT
systems of telcos providers in order to shared required information even from different telco
stakeholders in an area (i.e. a country):
- Each shared data, Strategic, private or personal information may have some
separation of concerns rules according to the cooperation agreement
- Shared Information should be provided by analyzing local data without exporting
data to third party or sharing all the data which could minimize load and privacy threats
Trusted data application may be deployed in connectors to analyze or use data according
to the cooperation rules. (open source, white box) : Data Application example: analytic
services, monitoring services, cognitive services, Root Cause Analysis services,
orchestration services.
To be certified, an application need to be approved by the partners. In particular,
this implies that each partner knows what the application is doing, why, how, where it is
used, which information is used in input and which information is provided on output, and
should be deployed within a trusted environment such as a connector.
Topics [5G, AI/Machine Learning, Analytics, Business Assurance, Digital Customer Experience,
Digital Ecosystem Mgmt, Frameworx, IT Transformation, Network Automation, ONAP,
Open APIs, Open Digital Architecture]
Confirmed Orange,Vodafone Group,MTN Group Limited
champions:
Confirmed IntegraTouch,Infosys,IoT Lab,Ikanotis Partners Ltd
participants:
Contact the C21.0.223 Catalyst team
Please note the URN C21.0.223 to enter into contact form.
2
3Submission: Wireless network autonomy management based
on knowledge graph C21.0.217
URN C21.0.217
Theme [AI, Data & Analytics]
Project name Wireless network autonomy management based on knowledge graph
Vision Wireless network autonomy management based on knowledge graph
Description This project of wireless network autonomy management based on knowledge graph can be
applied to all network optimization engineers to assist in the diagnosis of problems and
improve the efficiency of problem processing. Through the way of real-time knowledge
graph, the efficiency of existing engineers' problem analysis will be greatly improved, and
the requirements of engineers' ability for specific problem processing will be reduced.
Solution scope As a network operator operation and maintenance department, I need to continuously
reduce the cost of operation and maintenance personnel, and constantly improve the
impact of the problem. So that I can learn the historical record processing experience
based on the knowledge graph, and use AI method to learn the optimal analysis path of
problem analysis to assist engineers in problem processing.
To do this I need to accumulate a large number of network problem processing work
records, extract the key information of the network element in the work record, establish the
relationship between the relevant data and the processing conclusion, and construct the
optimal path of problem analysis in the way of knowledge graph.
I know that I am successful when a new problem presents, we can use the knowledge
graph analysis conclusions for new problem analysis, and assist engineers in problem
diagnosis to improve the efficiency of problem processing. When a work record presents,
our knowledge graph can combine a new work record information to output the diagnosis
results of this kind of work record problem, and provide problem handling solutions for
engineers. After the work record closed, we can involve the information and conclusions of
the work record in the AI learning model to provide model to support the subsequent new
work record prediction.
Topics [5G, AI/Machine Learning]
Confirmed China telecom
champions:
Confirmed
participants:
Contact the C21.0.217 Catalyst team
Please note the URN C21.0.217 to enter into contact form.
2
4Submission: Unified MEF/TMF compatible API interoperability
C21.0.216
URN C21.0.216
Theme [Beyond Connectivity]
Project name Unified MEF/TMF compatible API interoperability
Vision To demonstrate the ability for CSPs to host TMF-compliant API endpoints that can accept
both TMF-generic and MEF-specific payloads to perform ProductQuote's and
ProductOrder's on carrier services.
Description MEF LSO-Sonata APIs and - separately - TMForum APIs exist for the same basic
purposes, including ProductQuote and ProductOrder. The two SDOs issued a joint press-
release in October 2020 which stated: "LSO Sonata API product payloads [will] work in
alignment with TM Forum API standards using a polymorphic approach". It is not in either
SDOs scope to produce such a unified API specification that can accept MEF and TMF
payloads - which is the holy grail that CSPs require for inter-carrier services.
Solution scope As a CSP, I need to provision carrier-services with other CSPs so that I can build and
maintain my global networks. To do this I need to host an API that is both MEF and TMF
compatible at the same time. I know I am successful when I can service quotes and orders
with MEF-specific payloads through TMF compatible APIs.
As a telco-vendor, I need to provide TMF-compliant APIs, so that I can satisfy the API
Manifesto and so CSP RFPs. To do this I need my product to service MEF-specific and
non-MEF-specific payloads through TMF-compatible APIs. I know that I am successful
when my product demonstrates TMF-API compliance and services a MEF-specific payload.
Topics [Digital Ecosystem Mgmt, Network Automation, ONAP, Open APIs, Open Digital
Architecture]
Confirmed Vodafone,Orange,AT&T
champions:
Confirmed Tata Consulting Services,Torry Harris Business Solutions,Amartus
participants:
Contact the C21.0.216 Catalyst team
Please note the URN C21.0.216 to enter into contact form.
2
5Submission: Capability sharing ecological platform for the
campus scenarios of smart city C21.0.215
URN C21.0.215
Theme [Beyond Connectivity]
Project name Capability sharing ecological platform for the campus scenarios of smart city
Vision This project is aiming at the campus scenarios of Smart City construction, to research and
release the capability component packages based on the business requirements, and to
deliver a capability platform for ecological cooperation and sharing.
Description This project takes the campus scenarios of Smart City as the entry point. It analyzes the
common business needs, develops and evolves business capability components, and
implements the components in specific scenarios, such as small enterprise campuses,
industrial campuses, high-tech campuses, buildings, communities, towns, villages, and etc.
Solution scope As a __ Project Manager in Zhejiang Mobile__
I need to __deliver the smart campus project on schedule__
so that I can __achieve my work goals__
To do this I need to __drive the rapid development of the R&D implementation team__
I know that I am successful when ___the project acceptance is passed according to the
project schedule ___
As a ___Business Architect____
I need to __analyze the business requirements of the smart campus project, plan and
design the business architecture accordingly__
so that I can _identify the common parts of the requirements _
To do this I need to _break down the overall business architecture of the smart campus
project_
I know that I am successful when _I can ensure that similar businesses share the same
business module_
As a _Smart Campus Application Developer__
I need to _develop an information system quickly according to business requirements __
so that I can __launch the project on schedule ___
To do this I need to _understand which requirements have been developed before and
which requirements are newly developed__
I know that I am successful when __I can launch the project through integrating the existing
business components and developing the change requests __
As a __Smart Campus Capability Developer for ecosystem partners__
I need to __develop business components for common requirements and provide code
packages__
so that I can __supply capabilities to multiple projects through integration __
To do this I need to _reduce the degree of coupling between functional modules_
I know that I am successful when __the business components I developed can be
integrated into various systems through minor customization __
As a __Test Engineer__
I need to _understand business requirements, write test cases, and test the codes_
2
6so that I can _make sure the quality of business components and ensure that BUGs are
fixed in time_
To do this I need to __participate in the requirements analysis and project development
process__
I know that I am successful when __the launched information system is stable __
Topics [5G, AI/Machine Learning, Digital Ecosystem Mgmt, IoT, Open APIs, Smart City]
Confirmed China mobile,Ningbo Zhaobao Industrial Co., Ltd
champions:
Confirmed Asiainfo,Inspur,WhaleCloud,AIIT
participants:
Contact the C21.0.215 Catalyst team
Please note the URN C21.0.215 to enter into contact form.
2
7Submission: 5G digital marketplace - Phase II C21.0.214
URN C21.0.214
Theme [Autonomous Operations]
Project name 5G digital marketplace - Phase II
Vision To demonstrate and create an integrated platform for the composition of cross industry
digital services that leverage the true power of 5G edge clouds and the performance, scale
and flexibility of containerised network functions
Description Cognizant had earlier created a CSP catalyst on 5G digital marketplace sponsored by
Telefonica O2 which demonstrated a digital market place that involved cross-industry
service compositions and bundled/implicit provisioning of appropriate 5G network slices as
demanded by the use case. In this phase two we propose to develop further on the theme
but demonstrate it with edge clouds (MEC) and containerized network functions
orchestration. This could be called 5G marketplace on steroids.
Solution scope As a telecom service provider
I need to offer composite services underpinned by network services on demand to my
enterprise customers
So that I can increase my footprint into latency-critical services and gain a greater share of
business.
To do this i need to create a platform for optimal composition of services which can utilize
containerized network functions deployed on edge clouds, orchestrated through
Kubernetes and following CI/CD principles.
The optimal service composition will require the following
a. setting up an "MEC on demand" (Edgescalar). One of the goals of this catalyst is to build
this component that will be able to provision an MEC given the placement details from the
Engine.
b. Containerization of network functions will require a service mesh for orchestration. In a
5G usecase these involve non-standard, legacy protocols which are not supported in a
standard Kubernetes Istio Service Mesh. The catalyst proposes the usage of cncf.io's
network service mesh to provide multiple interfaces to the containers.
Topics [5G, Digital Customer Experience, Edge Computing, Frameworx, IoT, Network Automation,
Open APIs, Open Digital Architecture]
Confirmed Verizon,Colt
champions:
Confirmed Cognizant technology solutions,ServiceNow,Sterlite Technologies Limited,Cognizant
participants: Technology Solutions,Subex,AWS
Contact the C21.0.214 Catalyst team
Please note the URN C21.0.214 to enter into contact form.
2
8Submission: Measurements of trust in AI environment
C21.0.213
URN C21.0.213
Theme [AI, Data & Analytics, Customer Experience & Trust]
Project name Measurements of trust in AI environment
Vision Building a system of trust within the AI environment which adheres to the ethics and
governance policies of the organization.
Description We aim to build a trust system with a comprehensive framework using qualitative and
quantitative measures to assess the driving forces of trust (fairness, explain-ability,
reliability, security and privacy) throughout the AI life cycle stages of Business Alignment,
AI lifecycle surpasses Design, Development, Production and Decommissioning . The trust
system will ensure safety, technical robustness, transparency, non-discriminative nature,
mitigation of bias and accountability of any AI system.
Solution scope As a CSP,
I need to ensure that any AI model/algorithm which is used within my business adheres to
my ethics and governance policy,
so that I can understand any risk that this model does not expose my brand to any negative
influence or regulatory deviation.
To do this I need to build a trusted ecosystem that encompasses both internal and external
model development and implementations and to allow it to be able to expose these risks at
the earliest possible opportunity.
I know that I'm successful when my partners, subscribers, and staff agree with my policies
to adhere to this.
Topics [AI/Machine Learning, Analytics, IT Transformation, Open Digital Architecture]
Confirmed Dialog Axiata PLC,Ncell Axiata Limited
champions:
Confirmed Axiata Digital Labs,Bolgiaten Ltd,Brytlyt Limited,University of Technology Sydney,Subex
participants: Inc
Contact the C21.0.213 Catalyst team
Please note the URN C21.0.213 to enter into contact form.
2
9Submission: Intent-driven autonomous networks for smart
mobility C21.0.211
URN C21.0.211
Theme [Autonomous Operations]
Project name Intent-driven autonomous networks for smart mobility
Vision The catalyst project will demonstrate new innovative intent-driven management
methodologies and techniques for autonomous operations of enterprise network and
application infrastructure aligned with TM Forum Autonomous Networks project and
evolving industry standards.
Description The catalyst will focus on reducing the time and cost associated with planning, procuring,
setting up, and sustaining the required ICT infrastructure to support smart mobility use
cases. The target customers are toll roads and municipalities.
Solution scope
Topics [5G, AI/Machine Learning, Analytics, Digital Ecosystem Mgmt, Edge Computing,
Frameworx, IT Transformation, IoT, Network Automation, Open APIs, Open Digital
Architecture]
Confirmed ORANGE,BT,Telecom Italia,Telecom Italia Sparkle S.p.A.
champions:
Confirmed Incognito Software,Huawei,TEOCO,Netcracker Technology
participants:
Contact the C21.0.211 Catalyst team
Please note the URN C21.0.211 to enter into contact form.
3
0Submission: Leveraging AI and big data to realize full lifecycle
resource management for cloud and network providers
C21.0.210
URN C21.0.210
Theme [AI, Data & Analytics]
Project name Leveraging AI and big data to realize full lifecycle resource management for cloud and
network providers
Vision Realize network planning, construction, maintenance and monetization in an efficient
manner in the 5G era, help CSPs leverages the resource management model based on
cloud computing environment.
Description Based on AI and big data technology, the catalyst aims to help telcos that focus on cloud-
network synergy to
realize full lifecycle management of cloud-network resources from network planning and
design, construction, network access, maintenance, and termination.
Streamline complex and scattered processes to establish an IT support system and break
down data silos
standardize resource management to realize precise management.
balance network construction with business development, accelerate
Solution scope As a brand new 5G and cloud + network telco,
I need an AI-based full lifecycle resource management system that supports 5G and cloud
+ network services.
In that way, I can realize the entire network lifecycle management from planning,
construction to network access.
To do this, I need partners with expertise in AI and big data technology and have a deep
understanding of the construction and operation of telecommunications networks.
When all the processes are streamlined and data resources are unified and synchronized
from front-end to the backend with full efficiency, I think the project is a success.
Topics [5G, AI/Machine Learning, Analytics, Network Automation]
Confirmed China Telecom
champions:
Confirmed Whale Cloud,Data Service Technology Co.,Ltd,Data Service Technology Co., Ltd,China
participants: Telecom Fufu Information Technology Co., Ltd.
Contact the C21.0.210 Catalyst team
Please note the URN C21.0.210 to enter into contact form.
3
1Submission: Zero Touch Operations (ZTO) C21.0.209
URN C21.0.209
Theme [Autonomous Operations]
Project name Zero Touch Operations (ZTO)
Vision Transforming network and IT operations through the power of AI (Artificial Intelligence) to
provide best customer experience
Description Leveraging power of AI (Artificial Intelligence) and advancement in technology, we will
transform the way Operation works by collecting, analysing, processing, predicting,
recommending, and solving issues in network and IT with zero human intervention.
Solution scope I know that I am successful when Operation can be operated with minimal human
intervention. Reduction of resources is a good indication of success.
Topics [AI/Machine Learning, Analytics, Digital Customer Experience, IT Transformation]
Confirmed Shaw Communications,PT XL Axiata Tbk
champions:
Confirmed Amdocs,CanGo Networks,Huawei
participants:
Contact the C21.0.209 Catalyst team
Please note the URN C21.0.209 to enter into contact form.
3
2Submission: Smart O&M for private data centers C21.0.206
URN C21.0.206
Theme [AI, Data & Analytics, Cloud Native IT & Networks]
Project name Smart O&M for private data centers
Vision Using new technology to improve the work experience and efficiency of operation and
maintenance engineer of CMCC Private Cloud
Description Through 3D modeling of data center, computer rooms, racks and computers, and
integrating energy consumption data, load-bearing data and alarm data into the 3D model,
the operation and maintenance engineers can more intuitively understand the situation of
the computer room and equipment of private cloud.
Solution scope As the largest telecommute company in China, our private cloud has more than 100000
computers.
We not only need to manage and maintain these devices, but also need to manage and
maintain the DC and electrical facilities where the devices are located.
In order to manage so many infrastructures, we need to use 3D visualization, AI and other
new technologies to improve the efficiency of the our operation and maintenance system
and DC management system, and make the systems smarter. When we find that the alarm
can be integrate and display on the 3D model timely, and the source of alarm can be
located timely, and disk failure can be accurately predicted, and when the people who are
not allowed to enter the data center, the system can quickly alert and accurately identify
what they are doing in the DC. We know that we are successful.
Topics [AI/Machine Learning, IT Transformation]
Confirmed China Mobile
champions:
Confirmed SI-TECH Information Technology Ltd.,Beijing ZZNode Technologies Co.,Ltd.,Inspur
participants: Communication Information Systems Co., Ltd,Huazhong Tech University
Contact the C21.0.206 Catalyst team
Please note the URN C21.0.206 to enter into contact form.
3
3You can also read
