Smart cities. Connected vehicles. Autonomous manufacturing and agriculture. Modern cloud-native technologies like virtualization, containers, microservices, and hyperautomation are redefining the capabilities of telecommunications networks from the core to the edge. Service providers are using open source advancements (particularly in 5G and edge technologies) and a mature and growing partner ecosystem to remake themselves and the industries around them.

Upgrades are essential for businesses to remain competitive and secure. Red Hat and Ericsson streamline the deployment, upgrade, and configuration of Red Hat OpenShift clusters while running Ericsson 5G Core CNFs, based on agreed reference designs. This simplifies the upgrade process, ensuring compatibility between components and reducing operational complexity. By staying current with the latest features and security enhancements, CSPs can maintain customer satisfaction, drive revenue growth, and secure long-term success.

OpenShift Lifecycle Management in Telco - Experiences from Ericsson

Red Hat Distinguished Telco Architect Fatih E. Nar joins Analysys Mason Principal Analyst Adaora Okeleke and panelists from Three UK, Spirent Communications and KORE Wireless to discuss the realities of implementing AI in telco production.

TOPICS:

Current key operational hurdles for telcos and risk mitigation 

How do you operationalize AI and scale it in a multi-cloud environment?

What are the blueprints for strategic and practical implementation of AI?

Testing, verification and integration best practice for AI in legacy and hybrid networks 

The critical role of automation for laying the foundations to AI applications

What to choose? In-house AI solutions versus turn key or plug and play solutions

Tackling AI bias and ensuring trust in AI

The importance of your data - correlation, quality and accuracy 

Lifecycle management considerations

The human factor in AI - the change in culture and workforce skill sets required

What are the key use cases implemented by telecom pioneers to date?

What are Tier 2 and tier 3 operator strategies regarding automation and AI?

Mastering the adoption of AI - from proof of concept to deployments at scale

Automation, analytics and AI are transforming telco infrastructure in both the data center and the network edge/far edge. With increasing use of instrumentation and automation, closed-loop automation environments are already driving reactive change to the network and data center infrastructure. Now, with advancements in AI and the use of generative AI, networks and telecom Infrastructure are also becoming intelligent. This presentation explores the vision of intelligent autonomous infrastructure, explaining how telecom companies are transforming their networks, data centers (including edge and far edge), people and policies to build to that vision. Includes discussion of the work happening around the world, with the intent to explain the art of the possible.

Intelligent, autonomous infrastructure for telco

Do you have a cloud-native strategy for your network? Red Hat CTO Chris Wright discusses how containers, AI, automation and modern applications deployed at scale are accelerating the evolution of telecom networks and digital services. Includes real stories of cost savings and innovation.

Speaker:
Chris Wright
Chief Technology Officer and Sr. Vice President of Engineering
Red Hat

Cloud-native networks and the future of telecommunications

STL Partners' Principal Consultant Yesmean Luk provides a look at the current state of the market, trends, and industry direction for enterprise edge.

Speaker:
Yesmean Luk
Principal Consultant/Practice Lead
STL Partners

Enterprise Edge: Market overview and trends (with STL Partners)

ACG Research CEO and Principal Analyst Ray Mota and Red Hat's Ian Hood provide a look at the current state of the market, trends, and industry direction for hybrid and multicloud environments.

Speakers:
Ray Mota
CEO and Principal Analyst
ACG Research

Ian Hood
Chief Strategist - Global Industries
Red Hat

Open hybrid cloud: Market overview and trends (with ACG Research)

Analysys Mason Research Director Caroline Gabriel and Red Hat's Rob McManus a look at the current state of the market, trends, and industry direction for Open RAN.

Speakers:
Caroline Gabriel
Research Director, Networks and 5G
Analysys Mason

Rob McManus
Principal Product Marketing Manager
Red Hat

Open RAN: Market overview and trends (with Analysys Mason)

As telecommunication service providers (SPs) transform their networks, the underlying platform must support both 4G and 5G workloads. Diverse service requirements and increasing demand drive the need for a dual-mode cloud-native 5G core network, where VNFs and CNFs will need to coexist for service providers to provide seamless connectivity. 

In this session, we will discuss the challenges SPs face creating a 4G/5G core platform, and how the use of reference architectures and other tools aid in the management of dual-core features, functions and services needed for the deployment, operation and delivery of 5G services.

Speakers
Vidya Ratn Shukla
Head of Cloud & Infra Design & Planning Core Networks Bharti Airtel

Ryan Ziegler
Director – Technology (Telco Cloud, DevOps, Analytics)
Sasktel

Gisbert Oskam
Product Owner Cloud Native Core Platform
Vodafone Ziggo

Ilker Bulucu
Head of Broadband and Cloud Services Turkcell

Rob Wilmoth
Senior Industry Principal Architect
Red Hat

Evolution of the core from 4G to 5G

Lower latency and higher speeds beyond that of public networks are necessary to open upnew private 5G opportunities for enterprises and facilities such as manufacturing plants,ports, and campuses. Additional privacy and security for the delivery of mission and business-critical functions are mandatory, with automation vital for the efficient deployment andoperations of private 5G networks.A unified, open source, cloud-native platform that provides low latency connectivity alongwith computing applications can help deploy private 5G networks. Automation and zero-touch provisioning will streamline private 5G network operations and reduce costs. The widerecosystem will give access to the latest innovations, and when used with pre-integratedreference architectures make it easier to roll-out private 5G networks.

Speakers:
Pablo Tomasi
Principal Analyst, Private Networks And Enterprise 5G
Omdia

Rob McManus
Principal Product Marketing Manager
Red Hat

The state of play in the private 5G market

Private 5G networks address both mission- and business-critical requirements for diverse organizations including verticals. Although enterprise customers can take a do-it-yourself (DIY) approach, this strategy has risks due to a lack of resources and expertise to combine IT with operational technology (OT), as well as high deployment costs. 

In this session, learn how Red Hat along with its ecosystem of partners gives telecommunication service providers (SPs) the ability to offer software-defined and automated private 5G solutions that leverage a unified cloud-native platform across hybrid and multicloud environments. An automated cloud-native platform reduces deployment complexity, meaning that service providers can deploy consistent private 5G solutions at scale for different industry verticals.

Speakers:
Arturo Barraza Lopez
5G Innovation Lab Director
AT&T Mexico 

Vishal Sharma
Private 5G, Automation Principal Solution Architect 
Spark New Zealand 

Ed Luna
Distinguished Architect
Verizon Business Group


Ian Hood
Chief Strategist - Global Industries
Red Hat

Private 5G use cases

Service provider (SP) network complexity and sprawl into hybrid and multicloud environments is hindering efficiency in terms of network operations. Artificial Intelligence for IT Operations (AIOps) is a suite of solutions that can help generate insights to allow service providers to make informed decisions on how best to operate and maintain their networks. 

In this session learn how AIOps and automation can be used to analyze vast amounts of data that is generated by service provider networks, and can use that analysis to detect and remedy issues in real-time. SPs and partners will share real-world examples of how they are successfully leveraging AIOps to dramatically increase the efficiency of their network operations, resulting in less downtime and increased customer satisfaction.

Speakers:
Min Xie 
Senior Research Scientist 
Telenor

Stephen Rose
GM, Global Telco and Distribution Industries
IBM

Muriel Médard 
NEC Professor of Software Science & Engineering
MIT

Leon Kuperman
Chief Technology Officer 
CAST AI

Fatih Nar
Chief Technologist - Telco Partner Solutions
Red Hat

Artificial Intelligence for IT Operations

The success of Open RAN relies heavily on high-performing, multi-vendor network architectures that are tested, validated, and fully interoperable.  However, the proliferation of edge devices created with open RAN networks leads to a further discussion on how to minimize energy consumption and deliver these solutions in a highly sustainable manner–not just at the edge but in the data center as well.

As enterprise customers expect the companies they do business with to find “greener” sources of energy and address the draining of our global resources, we focus this session on the initiatives underway that are designed to reconcile industry technologies with the rising environmental impacts.

Oscar Toorell
Head of Technology, Engineering Unit Cloud RAN
Ericsson

Shamik Mishra
CTO, Connectivity
Capgemini

Vinodh Raghunathan
Director, Commercial Readiness for Infrastructure SW, Network and Edge Group 
Intel 

Rimma Iontel 
Chief Architect, Global Telco
Red Hat

Energy consumption and sustainable 5G networks

Multi-access edge computing (MEC) infrastructure allows communications service providers (CSPs) to bring services delivery closer to the end user. However, designing and deploying an MEC cloud infrastructure also presents a challenge—hundreds of remotely located clusters spanning multiple, smaller datacenters still need to be managed from a central location. CSPs need to streamline their processes for efficient deployment and operations at edge locations.

This session will cover how Bell Canada used Red Hat Advanced Cluster Management-based declarative GitOps architecture to deploy Bell Canada’s edge cloud environment using Red Hat OpenShift. The speakers will outline Bell Canada’s MEC use case, solution architecture, and the declarative approach for MEC deployments at scale. 

In this session, the speakers share: 
- A recap of Bell Canada’s MEC use case, requirements, and expected solution.
- A solution overview of declarative GitOps-based, zero-touch provisioning for MEC.
- Challenges, solutions, and workarounds.
- How to take advantage of GitOps zero-touch provisioning for continued cloud platform deployments.
- Next steps for Bell Canada.

Speakers
Bruno Dias
Product Owner,  Multi-access Edge Computing Architecture Development
Bell Canada Enterprise Group

Jerome Doucerain
Cloud Architect
Bell Canada

Kasif Islam
Principal Architect
Red Hat

Bell Canada's multi-edge computing success story

Red Hat® OpenShift® AI is a flexible, scalable MLOps platform with tools to build, deploy, and manage AI-enabled applications. Built using open source technologies, it provides trusted, operationally consistent capabilities for teams to experiment, serve models, and deliver innovative apps.

OpenShift AI (previously called Red Hat OpenShift Data Science) supports the full lifecycle of AI/ML experiments and models, on-premise and in the public cloud.

This Tech Talk will provide:
- An overview of Red Hat OpenShift AI (RHOAI)
- An understanding of Gen AI and how to fine-tune LLaMA2-7B models
- Guidance on how to run inference on RHOAI
- An exploration of pipeline features specific to OpenShift AI

Presenters:
Balkrishna Pandy, Associate Principal Solutions Architect, Red Hat
Monson Xavier, Senior Specialist Solutions Architect, Red Hat

Telco Tech Talk: Unlocking GenAI

Tasked to do more with less, automation teams are turning to artificial intelligence (AI). With a generative AI tool that’s purpose-built for them, Ansible® users can do what they do best: help their organizations scale with automation.

Red Hat® Ansible Lightspeed is a generative AI service that helps turn automation ideas into functional Ansible code. It takes natural language prompts and generates code recommendations built on Ansible best practices, improving productivity, bridging skills gaps, and reenergizing automation teams. 

When it comes to generative AI in Telcos, there’s nothing more important than accuracy and transparency. Ansible Lightspeed brings both to the forefront of the automation experience with reliable code recommendations and features that foster more trust. Combine AI and automation using Ansible Lightspeed, and you won't just support business outcomes—you'll propel them.

This tech talk will provide:

An overview of Ansible Lightspeed features and capabilities.
A look at the offering roadmap.
A brief demonstration of what Ansible Lightspeed can help customers achieve today.

Telco Tech Talk: Red Hat Ansible Lightspeed with IBM watsonx Code Assistant

The telecommunications industry will benefit greatly from cloud and container technologies. Only about a quarter of telecommunications companies have adopted a hybrid cloud strategy already, and many others are beginning to move from network function virtualization (NFV) architectures to cloud-native approaches based on containers and microservices to further increase speed, efficiency, and agility.


Watch this webinar to learn more about:
• How the move towards containers and microservices will help service providers deliver their services faster.
• How cloud-native tools and methodologies including the use of hybrid cloud, artificial intelligence, automation and analytics will create data-driven insights for hyper-personalized experiences and operational excellence.
• How network and application transformation will be imperative to monetize 5G investments.

PRESENTERS
Jennifer Clark, Principal Analyst – Cloud Infrastructure & Edge Computing - Heavy Reading
Shujaur Mufti, Senior Manager, Global Partners Solution Architecture, Telecommunications, Media & Entertainment, and Edge, Red Hat

Why telecommunication providers need to prepare for cloud-native innovation

How do you justify investments in new, cloud-native application platforms while maintaining existing infrastructure and tools? In this webinar, Red Hat and our guest speakers from Forrester will discuss how to approach business value assessments of modern platforms. We’ll look at the Forrester Total Economic ImpactTM (TEI) methodology and share customer examples from Red Hat’s experience.In this panel discussion, we’ll also take a detailed look at the commissioned Forrester Consulting study, “The Total Economic ImpactTM of Red Hat OpenShift Platform Plus”. We’ll share data collected from customer interviews, showing how a composite organization was able to achieve a 203% return on investment (ROI) in 3 years by increasing developer productivity, reducing costs, and decreasing risks.

In this panel webinar, we’ll cover:
● How to analyze the business value of cloud-native platform technology investments.
● Forrester’s TEI methodology for calculating benefits.
● Customer data and examples showing the ROI of Red Hat® OpenShift® Platform Plus.

PRESENTERS 
Brent Ellis, Senior Analyst, Forrester
Keith Coe, Vice President and Principal Consultant, Forrester 
Grazyna Wicik, Director, Business Value Practice, Red Hat
David Friedlander, Director, Product Marketing, Red Hat

The value of a cloud-native application platform (Forrester TEI)

AI evangelists promise autonomous networks, leaner operations, and enhanced customer experience. However, several unique challenges exist that are disrupting telco AI progress. This webinar will discuss research findings conducted by STL Partners with 100+ telco execs.

Speakers/panelists: 
"Dalia Adib, Director, Consulting, STL Partners
Will Davies, Senior Consultant, STL Partners
Azhar Sayeed, Senior Director, TME Technology & Strategy, Red Hat
Abdul Moiz, ML Manager | AI Accelerator, Telus
Andy Linham, Principal Strategy Manager, Vodafone"

The state of Telco AI and what comes next

telco

Telecommunications

telecom

red hat

RedHat

AI/ML

Telco AI

STLPartners

STL Partners

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Collaboration and UC

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The state of Telco AI and what comes next

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