Harnessing Generative AI in Telecom with TelcoBot.ai

Harnessing Generative AI in Telecom with TelcoBot.ai

Harnessing Generative AI in Telecom with TelcoBot.ai

 

July 14, 2023

Revolutionizing Telecom Data Analysis with Generative AI Models

In the era of digital transformation, data acts as a core asset for businesses, powering informed decision-making, generating valuable insights, and fueling innovation. As per an IDC study, the global data volume is projected to soar to an immense 175 zettabytes by 2025, indicating a compound annual growth rate of 61 percent. As data expands exponentially, its complexity grows, presenting significant processing and analysis challenges. For telecommunications operators that engage with millions of customers daily, leveraging this vast amount of data becomes crucial for success in a highly competitive industry.

Fortunately, advanced AI technologies such as Generative AI are revolutionizing the way data can be processed and used. Specifically, Generative Pretrained Transformer Models (GPT LLM) and Telcobot.ai, powered by Alepo, are emerging as transformative solutions for telecommunications operators. These AI models capitalize on the strengths of machine learning and natural language processing to interpret and generate text similar to human language, rendering them perfectly suited for processing unstructured data. With their ability to comprehend context, extract knowledge from vast datasets, and produce contextually accurate text, GPT LLM models offer telecommunications operators a valuable opportunity to turn the challenges of unstructured data into actionable insights and innovative solutions.

Understanding the Potential of Unstructured Data

As of now, unstructured data constitutes 80 percent of the total data pool. Unstructured data, which includes texts, emails, customer service records, and social media posts, lacks a predefined model or organization. It holds immense potential to enhance telecommunications services, gain a deeper understanding of customers, and drive data-driven decision-making. However, extracting insights from unstructured data is challenging. Traditional data processing methods struggle with the volume and complexity of this data type. Generative AI, particularly GPT Language Models, offer transformative potential for managing and analyzing unstructured data.

Exploring the Potential of GPT Language Models

In telecommunications, GPT language models have emerged as a powerful tool. These models, such as ChatGPT, harness the capabilities of generative AI to produce human-like text through machine learning algorithms. With their contextual understanding, vast knowledge base, and ability to generate accurate text, GPT models offer numerous advantages.

One notable benefit of leveraging GPT models is their capacity to process and comprehend large volumes of unstructured text. For instance, they can analyze thousands of customer feedback entries, provide summaries, categorize sentiments or topics, and answer questions based on the data. This capability opens new possibilities for extracting valuable insights from unstructured textual data.

Leveraging Alepo TelcoBot.ai for Generative AI in Telecom

Alepo’s TelcoBot.ai productivity suite enables telecommunications operators to harness the power of Generative AI, allowing them to easily create customized intelligent bots. Here’s how it can transform large, unstructured data into actionable insights:

  • Customer support and technical support: Bots can analyze customer interactions, providing accurate information about mobile plans, device setup, service configurations, and more, enhancing the customer experience.
  • Marketing and strategy: By scrutinizing customer feedback, surveys, social media mentions, and competitor launches, TelcoBot.ai can assist operators in crafting personalized marketing strategies and competitive analysis.
  • Staff support: TelcoBot.ai can facilitate staff training and support by suggesting suitable solutions, troubleshooting steps, and simplifying complex contract interpretations.
  • Procurement: Generative AI can assist with vendor contract interpretation and vendor information analysis, aiding the procurement team in informed decision-making.
  • IT security and compliance: TelcoBot.ai can help detect security incidents and ensure company practices comply with regulations like GDPR.
  • Network operations: Generative AI can analyze past network incidents and provide insights on patterns, causes, resolution times, and potential preventive measures.

Beyond these, TelcoBot.ai can transform operators’ websites into interactive platforms, with chatbots guiding customers, collecting feedback, and enhancing engagement. TelcoBot.ai provides a comprehensive suite of tools for operators exploring AI integration to expedite development and streamline team management.

TelcoBot.ai offers a collection of templates tailor-made for operators, serving as a starting point for developing bots specific to operational needs. It also allows operators to create custom bots from scratch for maximum flexibility. Prioritizing robust information security, TelcoBot.ai ensures your data isn’t used to train models. With features like team management, version management, and prompt control, bots’ development, management, and iteration are highly streamlined and efficient.

Capitalizing on the Generative AI Revolution with TelcoBot.ai

The ability to analyze and comprehend large volumes of unstructured data remains pivotal in our continually evolving digital landscape. Generative AI-based chatbots platforms, such as Alepo’s TelcoBot.ai, enable telecom operators to adapt to this trend and take the lead. TelcoBot.ai enriches customer service, shapes strategic direction, assists with procurement, ensures IT compliance, and fine-tunes network operations. Its interactive chatbots convert operators’ websites into vibrant customer engagement platforms. Offering customized templates and options for unique, bespoke bots, TelcoBot.ai expertly balances adaptability with rigorous data security. Its streamlined team and version management features facilitate efficient bot development and iteration. By capitalizing on the vast potential of Generative AI, Alepo’s TelcoBot.ai is revolutionizing telecom data processing, enhancing customer satisfaction, and propelling business growth.

Ready to be part of the Generative AI revolution? Contact us today at market.development@alepo.com to learn how Alepo’s TelcoBot.ai and Generative AI solutions can transform your telecom operations.

Rajesh Mhapankar

Rajesh Mhapankar

Vice President, Product Management

A seasoned professional, technologist, innovator, and telecom expert. With over 20 years of experience in the software industry, Rajesh brings a strong track record of accelerating product innovations and development at Alepo. He supports the company’s mission-critical BSS/OSS projects in LTE, WiFi and broadband networks, including core policy, charging, and control elements.

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Alepo AAA vs. Open-Source AAA: Which is Better for Telecom Operators?

Alepo AAA vs. Open-Source AAA: Which is Better for Telecom Operators?

Alepo AAA vs. Open-Source AAA: Which is Better for Telecom Operators?

 

April 26, 2023

AAA Options Available in the Market

Delivering reliable network services to consumers is the primary responsibility of broadband operators. To do so, they require a robust and secure AAA server to manage their broadband services effectively. AAA server performs critical functions such as authentication, authorization, and accounting and ensures optimum security and stability of the network. Two primary options are available when selecting an AAA server: a managed AAA server product provided by a vendor like Alepo or an open-source AAA server. While open-source AAA servers have gained popularity over the years, choosing a managed AAA server product offers several advantages over an open-source AAA server. The following sections will discuss these advantages to help operators make informed decisions while selecting an AAA server for their network.

Advantages of a Managed AAA Server

Customizations to suit unique business needs

When selecting a AAA server for their business, choosing a solution tailored to the telco’s unique needs is essential. The Alepo AAA server offers unparalleled customization options, allowing them to shape the product to fit unique specifications. By collaborating with the Alepo team, telecom operators can ensure that their business requirements are met without having to devote significant resources to customization. In contrast, open-source AAA servers may require extensive customization efforts on the operators’ end, potentially resulting in delays, increased costs, and reduced productivity. Choosing an Alepo AAA server eliminates these concerns, providing telcos with a powerful, customizable solution that meets their business’s needs.

Scales with growing network traffic

Alepo AAA is designed to handle high-volume traffic demands and complex network environments. It is a robust and highly scalable solution that can easily handle many users and devices accessing the network simultaneously. Alepo AAA uses a high-performance architecture optimized to handle an increased traffic load. This architecture includes load balancing, clustering, and high-availability features that ensure the system can handle dynamically evolving network demands. As the network grows, Alepo AAA can be easily scaled to meet the operator’s needs, allowing them to continue providing high-quality network services to their users without compromising network performance or security. On the other hand, open-source AAA servers lack vendor support and customization capabilities Alepo AAA provides and may not be optimized and scalable to handle high-volume traffic and complex network environments.

Supports modern protocols and policies

Alepo AAA Server offers several robust advantages over open-source AAA servers. Alepo AAA Server supports dual stack IPv4 and IPv6 for interoperability, Diameter protocol for greater security and mobile core integrations, Change of Authorization (CoA) to apply real-time policy changes, and dunning portals to manage the billing and payment collection process efficiently. In contrast, an open-source AAA fails to support all the modern protocols and policies simultaneously, resulting in poor-quality services to subscribers.

Seamless integration with multi-vendor network and IT systems

Alepo AAA has been in the market for two decades, is mature, and has been deployed with tier-1 global operators. It is an industry-leading AAA platform with robust APIs that seamlessly integrates with various IT systems and network components like BRAS, BNG, ePDG, and HSS, providing a hassle-free integration experience and helping operators save considerable time and resources. With its seamless integration capabilities, Alepo can easily operate within existing networks, making the transition process much smoother. On the contrary, integrating open-source AAA servers with other systems might be expensive and time-consuming. The operators will have to rely on third-party technology vendors for integrations and customizations or maintain in-house experts to support integrations and maintenance. By choosing Alepo’s already established industry-wide tested AAA server, telecom operators can benefit from a more efficient and cost-effective solution that caters to their unique needs.

24/7/365 professional support

With the Alepo AAA server, operators can be assured of dedicated support from a team of experts available 24/7/365, ensuring that any issues or problems can be quickly resolved, minimizing downtime, and ensuring customer satisfaction. In contrast, open-source AAA servers may not offer the same level of support, and operators will have to depend on their in-house expertise, leading to longer resolution times and potential loss of revenue. By opting for the Alepo AAA server product, businesses can focus on providing quality services while leaving technical support to the experts.

Alepo has its in-house product, system integration (SI), support, and R&D teams. At the same time, with open-source, operators need to rely on in-house expertise or third-party resellers for the support needed. The in-house availability of the technical teams’ can provide operators with several advantages, including faster issue resolution, better integration, customization, direct access to expertise, and more effective support.

No compromise with security

Security is a critical concern when managing and protecting customer data. A managed AAA server product such as Alepo’s protects sensitive data as it is designed with robust security features, such as data encryption, blacklisting, and identity theft protection. Alepo provides timely security updates in case of critical security vulnerabilities. With an open-source AAA server, the operator has to manage such vulnerabilities independently or rely on the open-source community. Hence, an open-source AAA server may compromise security and business continuity and require additional security investments by operators to ensure data protection. Businesses can be assured of robust security features and timely updates by opting for a managed AAA server product, improving data protection and customer trust.

Cost-effective in the long run

Choosing the right AAA server can significantly impact the overall business efficiency and long-term operational costs. While an open-source AAA server may seem initially cost-effective, operators need to factor in the additional costs associated with customization, integration, support, security, and in-house resources. These costs can quickly add up, leading to unexpected expenses and decreased profitability. In contrast, Alepo’s managed AAA server product comes with a predictable cost structure, which includes all the necessary features and support, allowing operators to focus on their core operations. At the same time, Alepo takes care of the additional requirements, resulting in improved efficiency and reduced costs. Additionally, the predictable cost structure helps businesses plan their budgets better, ensuring no unexpected expenses.

Regular updates help to remain competitive

In the fast-evolving telecom marketplace, operators must stay ahead of the curve to remain competitive and relevant. Alepo’s AAA server product is designed to be future-proof, with regular updates and enhancements to keep up with the evolving needs of the industry. The regular updates ensure operators have access to an always up-to-date, reliable, and useful product. In contrast, an open-source AAA server may not have the same development resources, leading to slower development and fewer updates. This results in operators using an outdated product that may not meet their current needs, leading to decreased efficiency and lost revenue. By opting for Alepo’s managed AAA server product, businesses can ensure access to the latest features and enhancements, leading to improved performance and a competitive edge in the market.

Conclusion

As a telecom operator, choosing the right AAA server can significantly impact the success of telcos’ business operations. Alepo’s managed AAA server offers several advantages over an open-source AAA server in terms of customization, integration, support, security, scalability, cost-effectiveness, and future-proofing. With Alepo’s solution, operators can customize the product to meet their specific needs, integrate it with other systems seamlessly, and rely on dedicated support from Alepo’s experts, helping them stay ahead and competitive in the market. The product also has robust security features, ideal for telecom businesses handling sensitive customer data. By choosing Alepo’s AAA server, operators can be assured of a reliable and efficient solution, improved network performance, increased customer satisfaction, and higher profitability.

Do you want to learn more about the recent feature updates made to Alepo AAA Server, contact market.development@alepo.com, and we will take it further.

Rajesh Mhapankar

Rajesh Mhapankar

Vice President, Product Management

A seasoned professional, technologist, innovator, and telecom expert. With over 20 years of experience in the software industry, Rajesh brings a strong track record of accelerating product innovations and development at Alepo. He supports the company’s mission-critical BSS/OSS projects in LTE, WiFi and broadband networks, including core policy, charging, and control elements.

Subscribe to the Alepo Newsletter

Top six ways ChatGPT can boost telcos efficiency

Top six ways ChatGPT can boost telcos efficiency

Top six ways ChatGPT can boost telcos efficiency

 

April 24, 2023

Introduction

Telecommunications have rapidly changed over the past decade with constantly evolving internet technologies, mobile devices, margin pressure, and customer expectations. As customers demand more innovative services, telecom companies must find new ways to meet increasing customer expectations and find new operational efficiencies. One of the solutions to overcome these increasing expectations and a thrust for low-cost innovations is using artificial intelligence (AI) and natural language processing (NLP) to improve customer service, optimize networks, predict maintenance, and detect fraud. In particular, ChatGPT-4, the latest version of a large language model developed by OpenAI, can accelerate innovation and boost operational efficiency for telcos.

Six ways ChatGPT-4 can help telcos

Natural Language Processing (NLP) for Customer Service

One of the most significant ways ChatGPT can accelerate innovation in telecom is by using natural language processing (NLP) to improve customer service. NLP is a field of artificial intelligence that focuses on enabling computers to understand human language. ChatGPT, as a large language model, has been trained on a vast amount of text data and can process natural language queries, making it well-suited for customer service applications.

Telecom companies can build chatbots using ChatGPT to understand and respond to real-time customer queries. The NLP-based chatbots can analyze customer interactions, understand the context of their queries, and provide relevant and accurate responses, helping significantly reduce the workload on customer support teams and improving the overall customer experience. Using chatbots powered by ChatGPT, telecom companies can provide round-the-clock support to their customers, leading to higher customer satisfaction and retention rates.

General Task Automation

Another area where ChatGPT can be useful is to perform repetitive tasks faster and with minimum effort. Telecom companies can leverage ChatGPT across different departments throughout their organization. For instance, ChatGPT can assist as an AI-powered paralegal in the legal department, performing tasks such as document analysis, contract review, and legal research, thereby freeing human resources to focus on more complex tasks. ChatGPT can assist in ad copywriting and A/B testing in the marketing department, allowing marketers to save time while optimizing ad performance. ChatGPT can assist in course building in the training department, providing a more efficient and effective means of creating training materials. ChatGPT can also be used in customer service to provide quick and accurate responses to frequently asked questions, reducing the workload of customer service representatives. In addition, ChatGPT can be leveraged in the data analysis department to analyze large sets of data and generate insights that can help improve decision-making processes.

By utilizing ChatGPT in various departments, telecom companies can benefit from its ability to automate repetitive tasks, minimize errors, and reduce the need for human intervention. ChatGPT can be a valuable tool for telecom companies looking to increase efficiency and optimize their resources, eventually leading to cost savings and enabling organizations to focus on more strategic initiatives that can drive business growth.

Predictive Maintenance

Predictive maintenance is another area where ChatGPT can be useful. Telecom companies can use ChatGPT to analyze large amounts of data to predict when equipment is likely to fail. By doing so, telecom companies can take preventive action, such as replacing parts or scheduling maintenance, before a failure occurs, helping them reduce downtime and improve overall network performance.

ChatGPT can help telecom companies analyze vast amounts of data from sensors, logs, and other sources to identify patterns that indicate potential equipment failures. For example, ChatGPT can analyze temperature data from network equipment to identify when a device is overheating and likely to fail. By predicting equipment failures, telecom companies can reduce downtime, improve their networks’ reliability, and extend their equipment’s lifespan.

Product and Service Innovation

In addition to improving operations, ChatGPT can also be used to accelerate product and service innovation in telecom. Natural language processing enables ChatGPT to analyze customer feedback, identify trends, and generate insights that can be used to create new products and services. Telecom companies can use ChatGPT to analyze social media, online reviews, and other customer feedback to understand customers’ wants and create new products and services to meet their needs.

For example, ChatGPT can be used to analyze customer complaints about slow internet speeds and identify the underlying causes of these issues. Based on this analysis, telecom companies can develop new products or services to address these concerns, such as faster internet plans or improved network equipment. By leveraging ChatGPT to identify customer needs

Fraud Detection

ChatGPT can examine customer data to recognize patterns of fraudulent activity, such as phishing scams or SIM swapping. Upon identifying these patterns, the security teams of telecommunication companies can be alerted to take appropriate action. By training ChatGPT, telcos can efficiently analyze massive amounts of customer data from various sources, such as call records, payment history, and usage patterns. This data can be stored in a centralized database or data warehouse after being cleansed of irrelevant and redundant information. They can then be processed in the language that ChatGPT understands. The model is trained by using labeled examples of fraudulent and non-fraudulent activity and then fine-tuned to accurately identify fraudulent activity. Once the customized ChatGPT model is ready, it can be utilized in real-time to analyze customer data and identify potential fraud. The model can be integrated into the telco systems to automatically flag suspicious activity and alert security teams to take necessary measures. As new forms of fraud surface, the ChatGPT model can be retrained by collecting new labeled examples of fraud and updating the model to improve its precision.

Therefore, by using ChatGPT for fraud detection, telecommunication companies can identify and prevent fraudulent activity, decreasing the chances of financial losses and enhancing customer trust.

Sales and Marketing

ChatGPT can help telcos improve their sales and marketing efforts in several ways, including personalized customer engagement, customer behavior- and preferences-based lead generation, and targeted marketing campaigns. ChatGPT can help marketing teams to create engaging and informative content for their marketing campaigns. Also, by analyzing historical sales data and market trends, ChatGPT can assist telcos in forecasting sales and identifying growth opportunities by providing insights into future demand and helping telcos optimize their pricing and marketing strategies. ChatGPT can also significantly increase customer retention by providing personalized recommendations based on customers’ usage patterns and preferences. ChatGPT can identify potential churn risks by analyzing customer data and recommend targeted retention strategies to keep customers loyal.

ChatGPT, an AI language model, can help telcos to improve sales and marketing by providing personalized and data-driven insights, helping them better understand their customers, optimize their marketing strategies, and drive growth.

Conclusion

ChatGPT has the potential to accelerate innovation in telecom in many ways. ChatGPT’s natural language processing capabilities can transform how telecom companies operate and serve their customers, from customer service to task automation to predictive maintenance to sales and marketing. As telecom companies continue to look for ways to stay ahead of the competition, ChatGPT can play a critical role in driving cost reductions, innovation, and growth.

Rajesh Mhapankar

Rajesh Mhapankar

Director, Innovations

A seasoned professional, technologist, innovator, and telecom expert. With over 20 years of experience in the software industry, Rajesh brings a strong track record of accelerating product innovations and development at Alepo. He supports the company’s mission-critical BSS/OSS projects in LTE, WiFi and broadband networks, including core policy, charging, and control elements.

Subscribe to the Alepo Newsletter

Four pillars of a successful digital transformation in telecom

Four pillars of a successful digital transformation in telecom

Four pillars of a successful digital transformation in telecom

 

March 09, 2023

What are the important aspects of digital transformation

With fast-paced technological advancements and changing customer preferences, telecom service providers worldwide have acknowledged the importance of digital transformation on their roadmaps. To be successful and stay competitive in the market, operators need to embrace digital excellence in four critical aspects, i.e. customer experience (CX), business, operations, and processes.

By embracing digital excellence and next-generation techniques like automation, artificial intelligence (AI), and machine learning (ML), operators can revolutionize how businesses run and achieve their ultimate business goals of efficiency, customer value, innovation, and revenue.

When implemented correctly, digital transformation benefits both operators and their customers. These are some examples:

  • Streamlined operations using process automation
  • Swift service innovation to meet evolving customer demands and differentiate from competitors
  • Lower operational costs and overheads
  • Reduced time to market for new services
  • Digital-first customer experience (CX)
  • New revenue streams and full monetization of digital services
  • Increased sales conversions and simplified onboarding
  • Readiness for the next-gen networks


How can operators ensure a successful digital transformation?

A successful digital transformation means operators need to ensure reinvention across the full gamut of network functionalities. These can be broadly classified into four categories: CX excellence, operational excellence, process excellence, and business excellence.

I. CX excellence

Launch and monetize digital services

Operators need to remember that CX is everything. Customers today have increasingly digital lifestyles. Shopping, staying in touch with friends and family, working with remote teams, studying, managing finances: people do pretty much everything online. They expect their service providers to keep up and make this easy for them. Plus, 5G opens endless possibilities of CX-focused use cases, all of which require modern and robust network infrastructure. A modern and advanced digital BSS lets operators fully monetize unique and differentiated innovative next-gen services such as smart homes, buildings, cities; autonomous vehicles; entertainment and media experiences such as AR/VR; and much more.

Improve customer relationship management

Digitizing CX involved a lot more than just delivering, managing, and monetizing services. Operators must find ways to increase customer engagement, create more upselling and cross-selling opportunities, and ensure that their support offers can swiftly resolve customer issues. They can streamline all these activities by implementing a digital customer relationship management (CRM) platform.

With a digital CRM along with a host of other customer relation-enhancing applications such as mPOS, and enterprise self-service (ESS), operators can add value at all stages of the customer lifecycle, including sales and support, for retail subscribers and enterprise customers. They can automate workflows and introduce AI/ML techniques to eliminate manual processes.

Deliver omnichannel experience

Customers today expect a consistent sales and support experience across channels, from the more conventional SMS and IVR to WhatsApp, Facebook, Alexa, and everything in between. Introducing omnichannel support lets operators provide seamless and personalized CX across various web, mobile, and social media platforms. Implementing NLP chatbots on these platforms helps ensure an always-on self-care experience. By enabling round-the-clock 24x7x365 availability for their customers with web and mobile self-care, they can empower customers to be self-reliant, helping them resolve most issues without having to dial into a call center or visit a physical store. The result is lesser churn and lower operational expenses.

Digitize the customer journey

Digital transformation works best when extended across the entire customer journey: digital onboarding, eKYC verification, and dispatching SIMs to the customer’s address help digitize customer acquisition. Next, Operators can offer personalized and contextual plans and offers based on the customer’s location, usage needs, and so on. They can also leverage data to gain insights into customer preferences to create innovative and personalized rewards programs, building customer loyalty and differentiating their brand in a crowded marketplace. Digital Transformation enables operators to launch fully automated zero-touch networks, requiring no physical touchpoints.

II. Operational excellence

Virtualize to scale instantly

An agile and virtualized network environment lets operators easily adapt to changing market dynamics and scale as needed, with no additional OPEX and CAPEX required. Virtualized network functions replace traditional hardware, taking a software-based approach to keep the network running smoothly.

Motivated by the success that enterprises have had with it, many operators today are implementing a virtualized core network, and those who haven’t should definitely have it on their roadmaps. Most modern BSS solutions are NFV-compliant, making it easy for operators to make the shift.

Deploy services rapidly

With digital enablement and virtualization, operators can introduce new and innovative services on the fly and reduce response time. This enables them to swiftly differentiate themselves from their competitors. Virtualization also reduces OPEX and eliminates the need for frequent hardware upgrades that tend to rack up the bills.

Implement 5G using 4G core

Another important benefit that virtualization enables is support for advanced 5G use cases. It helps support a much higher network by keeping pace with dynamically changing requirements of speed, latency, efficiency, reliability, and throughput.

III. Business excellence

Intelligent data insights

A key benefit of digitizing the network is being able to analyze customer data to gain detailed real-time insights into their behavior and usage needs. As these needs evolve, operators can personalize their services. Leveraging data helps to define both short- and long-term business objectives.

Modern digital BSS stacks like Alepo’s provide fully customizable reports that let operators segment customers based on the parameters they value most. Insights from these reports help create granular and personalized plans and offerings.

These insights also help target promotions and advertising to the relevant audience, which can be an important new revenue stream by way of third-party sponsorships.

Partnerships

Customers today engage far more on social media and chat platforms than they do with their service providers who tend to have traditional means for engagement. Operators looking to gain the most from their digitization activities can build a cross-industry partner ecosystem that offers more direct engagement platforms by integrating their services into the core offering. In effect, the operator can enrich CX without having to invest in building and managing a new service. A digital BSS integrated with an advanced partner management solution enables them to support these partnerships.

Accelerated monetization of use cases

A 5G-ready digital BSS stack lets telecom operators rapidly monetize the data network with innovative and personalized offerings, enhancing the digital experience for subscribers and improving customer loyalty. The elastic and convergent platform provides a network environment for CRM, convergent charging and billing, with REST APIs that offer the flexibility to quickly introduce a host of digital services with new billing models.

IV. Process excellence

Automated workflows

Digital transformation means being able to integrate automation across all processes at every level. Automating workflows, backend processes, and business operations help reduce dependence on staff, eliminates errors caused by manual intervention, and consequently keeps operational costs low.

Streamline sales processes

Operators can reduce their workload, save time, and lower operational costs by setting up automation for sales processes to streamline the full sales life cycle. This includes automating emails, alerts, notifications, and more to centralize day-to-day operations, capture leads, manage databases, set reminders for follow-ups, and other tasks to manage the sales pipeline. In addition, data insights help enrich the sales process, helping predict business outcomes, identify leads more accurately, and improve conversions.

Centralized catalog management

A significant challenge that service providers face today is being able to launch and manage services – especially with the growing list of use cases owing to the introduction of 5G, IoT, AR/VR, and more. Implementing a digital BSS with a centralized product catalog helps address this concern.

With a common product repository, service providers can swiftly introduce new services to keep up with evolving customer demand. They can define granular metrics (volume, time, value, quality of service, and so on), enable support for multi-play offerings, and more. Partners and distributors, too, can easily collaborate to efficiently manage offers.

Efficient revenue management

Network transformation with a modern and advanced digital BSS helps operators ensure they can prevent revenue leaks and maximize their monetization potential. CSPs need real-time billing and policy control capabilities to seize and monetize opportunities that all-IP networks bring. With convergent charging, they can automate rates and charging for their customers. They can ensure accurate billing for their interconnect and roaming partners to accurately charge other operators for using their voice, SMS, data, and other network infrastructure. They can also support next-gen charging use cases such as surge charging when demand is high.

Conclusion

Digital transformation is crucial to improve CX and achieve business, operational, and process excellence. Advanced digital business support systems comprising digital CRM, omnichannel self-care, customer value management, innovative billing and charging, and more help operators differentiate themselves and their network offerings, while maintaining sophisticated customer experiences and higher revenue margins.

Do you want to take an essential first step by implementing a modern, 5G-ready, NFV-compliant digital BSS like Alepo’s? To get expert advice, contact market.development@alepo.com.

Rajesh Mhapankar

Rajesh Mhapankar

Vice President, Product Management

A seasoned professional, technologist, innovator, and telecom expert. With over 20 years of experience in the software industry, Rajesh brings a strong track record of accelerating product innovations and development at Alepo. He supports the company’s mission-critical BSS/OSS projects in LTE, WiFi and broadband networks, including core policy, charging, and control elements.

Subscribe to the Alepo Newsletter

Challenges of 5G cloud deployment and how to overcome those

Challenges of 5G cloud deployment and how to overcome those

Challenges of 5G cloud deployment and how to overcome those

 

February 13, 2023

Introduction

As 5G technology advances and is adopted globally, network operators must decide whether to move their 5G core to the public cloud. While popular cloud providers have been pushing for this move, most operators have chosen to stick with traditional private cloud deployments due to the complexity and high investment costs associated with 5G Service-Based Architecture (SBA) networks.

Functional 5G SBA core

5G SBA networks have around 36 network functions that are much more complex compared to previous generations. They also use container-based cloud-native network functions (CNFs), which eliminate the dependency of tight coupling between the software and hardware resources. Before 5G, networks were built by end-to-end core vendors that supplied network functions built on tightly integrated x86-based hardware. As service providers make this paradigm shift from tightly integrated software and hardware to cloud-native CNFs, there are numerous challenges to consider.

Challenges of moving 5G core to the public cloud and solutions to overcome those

Complexity and time-to-market

Implementing a 5G SA network on a telco cloud is already a complex task. Moving to the public cloud would increase that complexity even further due to the need for high-level network security. Time-to-market for CSPs that have already deployed 5G core on the public cloud varies between four to five years.

How to overcome this challenge

CSPs should thoroughly understand the requirements for moving the network to the 5G core. Conducting lab simulations and beta trials before commercial deployment can ensure optimal network performance and availability.

Reliability and performance

Telco-grade network reliability is expected to be 99.9990% for mobile broadband and 99.9999% for private wireless applications. Public cloud service providers (SPs) typically have reliability numbers between 99.50% to 99.99%. Public cloud SPs must meet these high-reliability standards and have geo-redundancy in place to prevent single points of failure that affect the entire network. In case of network downtime, telecom operators should commit to restoring the network in the minimum possible time and ensure that the network outage is confined to one country when including multi-national CSPs.

How to overcome this challenge

CSPs must confirm whether their network reliability meets the expected standards from various public cloud SPs. CSPs should verify the network uptime SLA from the public cloud SP. They must also consider geo-redundancy and failover mechanisms using various data center zones from their cloud provider.

Data sovereignty and security

Security is a major concern for CSPs when moving to the public cloud. Public cloud service providers must meet all data sovereignty and regulatory requirements and keep users’ personal and lawful intercept data within the country’s territory.

How to overcome this challenge

CSPs need to confirm that the data center of the public cloud SP is within the country’s territory. Regular audits need to be performed by CSPs to keep track of where and how the data is stored.

Agility

To fully utilize the potential of 5G, CSPs need to build an agile network that can introduce new features quickly. Public cloud service providers must provide granular network control and make it easy for CSPs to install software upgrades.

How to overcome this challenge

When considering a move to a public cloud, CSPs should consider the following factors:

  • The level of network control that will retain in the public cloud.
  • Any loss of control that may occur compared to a telco cloud.
  • The process for installing 5G core software upgrades and introducing new features.

Total cost of ownership

When switching from a telco to a public cloud, CSPs must consider various factors such as performance differences, user plane function (UPF) throughput differences, potential lost revenues during network downtime, costs of changing vendors, and upgrading plans.

How to overcome this challenge

CSPs should evaluate the flexibility and cost of different public cloud plans regarding network capacity and bandwidth to determine the most cost-effective option. It is important for CSPs to carefully review the plan’s network capacity limitations, any additional charges for exceeding capacity, and potential penalties for scenarios such as signaling storms. By negotiating these terms in advance, CSPs can minimize unexpected costs.

Conclusion

Moving 5G cores to the public cloud is a complex decision with several challenges. CSPs must weigh the pros and cons and consider their options before deciding. Alepo’s 5G Core network solution is cloud-native with service-based architecture, which can help CSPs run a 5G core in the cloud environment. In addition, it can be deployed on multiple cloud platforms, such as AWS, Google, and Azure. To start your 5G journey, send an email to market.development@alepo.com. We’ll help you get started.

Rajesh Mhapankar

Rajesh Mhapankar

Vice President, Product Management

A seasoned professional, technologist, innovator, and telecom expert. With over 20 years of experience in the software industry, Rajesh brings a strong track record of accelerating product innovations and development at Alepo. He supports the company’s mission-critical BSS/OSS projects in LTE, WiFi and broadband networks, including core policy, charging, and control elements.

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The role of cloud NWDAF in optimizing 5G network management and performance

The role of cloud NWDAF in optimizing 5G network management and performance

The role of cloud NWDAF in optimizing 5G network management and performance

 

January 31, 2023

Introduction

As 5G networks continue to roll out across the globe, network operators seek ways to manage and optimize these complex, high-capacity networks efficiently. One solution gaining traction is using the cloud Network Data Analytics Function (NWDAF). The cloud NWDAF plays a key role in realizing the automation and monetization of 5G networks.

What is cloud NWDAF, and how does it work?

NWDAF is introduced by 3GPP to handle network analytics and provides real-time analysis and insights into network performance and behavior. It continuously monitors network data, identifying trends, patterns, and anomalies that may indicate issues or potential improvements. NWDAF can help network operators proactively troubleshoot problems and optimize network performance, improving reliability and quality of service for end users.

In addition to providing real-time analytics, NWDAF can also provide data-driven recommendations for network configuration and optimization. By analyzing large amounts of network data, NWDAF can identify the most effective settings and configurations for different network scenarios and automatically apply them, reducing the need for manual intervention and speeding up the process of deploying and managing 5G networks.

Cloud NWDAF can analyze data from various sources, including network performance metrics, subscriber data, and service usage patterns. It can also integrate with other network management tools and systems, such as network element controllers and orchestration platforms, to provide a comprehensive view of network performance.

NWDAF integrates will all 5G core network functions

NWDAF integrates will all 5G core network functions

 

How can operators use cloud NWDAF in 5G networks?

There are several ways that network operators can use the cloud NWDAF to improve 5G network performance and management:

  • Proactive troubleshooting: By continuously monitoring network data, NWDAF can help operators identify potential issues before they become major problems. This can enable operators to take proactive measures to prevent outages and other service disruptions, leading to improved reliability and quality of service.
  • Optimization of network performance: NWDAF can provide data-driven recommendations for optimizing network performance. For example, it can identify the most effective configurations for different network scenarios, such as high-traffic areas or special events, and automatically apply them to improve network efficiency and capacity.
  • Streamlined deployment and management: By automating network configuration and optimization tasks, NWDAF can help reduce the time and effort required to deploy and manage 5G networks. This can help operators to bring new services to market faster and more efficiently.
  • Enhanced user experience: By improving network reliability and performance, NWDAF can help to enhance the user experience on 5G networks, leading to increased customer satisfaction and loyalty.

Conclusion

NWDAF is a powerful tool that can help network operators efficiently manage and optimize 5G networks. By continuously analyzing and optimizing network performance, NWDAF can help to ensure that 5G networks are reliable, efficient, and provide an enhanced user experience.

Alepo’s 5G Core network solution, including SDM (AUSF, UDM, UDR) and PCF, interface with NWDAF, helping our 5G operator customers with advanced network analytics, real-time monitoring, quick troubleshooting and service restoration, and many more effective network management and optimization functions.

Rajesh Mhapankar

Rajesh Mhapankar

Vice President, Product Management

A seasoned professional, technologist, innovator, and telecom expert. With over 20 years of experience in the software industry, Rajesh brings a strong track record of accelerating product innovations and development at Alepo. He supports the company’s mission-critical BSS/OSS projects in LTE, WiFi and broadband networks, including core policy, charging, and control elements.

Subscribe to the Alepo Newsletter