#CSPs

[housewifebuck]

*points homosexually*

[slormp]

Loved one got top surgery yesterday so I made this for him but I think y’all would appreciate it too

[unpeeled-human]

[covalesedigital]

Digital BSS: The Cornerstone of Telecom Evolution in the 5G Era

The telecommunications industry stands at a pivotal crossroads, where the convergence of 5G technology and artificial intelligence is fundamentally reshaping the competitive landscape. While industry discussions often center around network infrastructure and spectrum allocation, the true differentiator for Communication Service Providers (CSPs) lies in their ability to transform their Business Support Systems (BSS) for the digital age. 

The Shifting Paradigm of Telecom Services

The evolution of connectivity from a premium service to a fundamental utility has profound implications for CSPs' business models. This transformation demands a complete reimagining of how telecom services are created, delivered, and monetised. Legacy BSS systems, designed for an era of straightforward voice and data services, have become the Achilles' heel of many established providers.

While digital-native companies can launch new services in days, traditional CSPs often require months for similar deployments. This disparity isn't merely an operational inconvenience—it represents a fundamental competitive disadvantage in a market where speed to innovation defines success.

The Economic Imperative of Digital BSS Transformation in Telecom

The numbers tell a compelling story. With the digital BSS market projected to grow from $5.8B in 2023 to $12.5B by 2028, the industry is witnessing more than just market expansion—it’s experiencing a fundamental shift in how telecom services will be delivered and consumed. This growth trajectory, coupled with the projected $2.2T 5G services market by 2030, underscores a critical reality: CSPs must either evolve their BSS capabilities or risk becoming mere utilities in a market that demands innovation.

The evolution of BSS is being catalysed by widespread cloud adoption and emerging technologies. As Communication Service Providers (CSPs) transform into Digital Service Providers (DSPs), digital BSS solutions are becoming crucial for delivering superior omnichannel customer experiences. This transformation is driven by three fundamental elements including cloud-ready deployment, AI/ML integration, and DevOps practices. The future of telecom digital BSS will focus on agility, real-time activation, and customer-centricity, enabling telcos to launch personalised services faster while optimising operational costs.

AI as the Game-Changer in Digital BSS

The integration of AI into Digital BSS platforms represents more than just technological advancement—it's a strategic imperative. AI-driven BSS systems can:

Predict Market Demands: By analysing patterns in customer behaviour and market trends, AI enables CSPs to anticipate and respond to emerging opportunities before they become apparent to competitors. 

Optimise Service Delivery: Machine learning algorithms can continuously refine service parameters, ensuring optimal performance while minimising operational costs. 

Enable Dynamic Pricing: Real-time analysis of market conditions, customer behaviour, and network utilisation allows for sophisticated pricing strategies that maximise both customer satisfaction and revenue.

The Partner Ecosystem: A New Frontier

Modern Digital BSS platforms must excel at managing complex partner ecosystems. This capability isn't just about billing and revenue sharing—it's about creating a foundation for innovative service offerings that combine multiple providers' capabilities. The ability to handle multi-party revenue sharing, multi-currency billing, and hybrid account types has become a strategic enabler for future business models.

CPQ Integration: Beyond Sales Efficiency

Configure, Price, Quote (CPQ) capabilities extend far beyond sales efficiency into strategic terriority, their strategic importance extends far beyond this. In the 5G era, CPQ integration represents the intersection of technical capability and market opportunity. It enables CSPs to: 

Rapidly prototype and test new service offerings 

Create personalised solutions at scale 

Optimise pricing strategies in real-time based on market conditions and customer value

Strategic Implications for CSPs

The transition to Digital BSS is not merely a technology upgrade—it's a strategic repositioning that will determine which CSPs thrive in the 5G era. Success requires:

A clear vision of how Digital BSS aligns with broader business strategy

Deep understanding of how AI can create competitive advantages  

Recognition that partner ecosystem management is a core competency

Commitment to organisational change management

Emerging Solutions in the Market

As the industry evolves, innovative solutions are emerging to address these challenges. The Csmart platform demonstrate how modern Digital BSS can be architected for maximum flexibility and scalability. With its microservices architecture and AI-enhanced capabilities, it exemplifies the kind of agile, future-ready solutions that CSPs need to consider in their digital transformation journey.

Transforming Telecom: The Digital BSS Imperative

For CSPs looking to navigate this transformation, partnering with forward-thinking solution providers who understand both the technical and strategic implications of Digital BSS modernisation will be crucial. The path forward requires not just technological capability, but a shared vision of how a purpose-built telecom Digital BSS can enable business innovation and growth in the 5G era.

Transform your telecom operations with Csmart Digital BSS. Our team of experts stands ready to help you navigate the evolving telecommunications landscape and unlock new opportunities in the digital age. Contact us today at reachus@covalensedigital.com to explore how we can accelerate your digital transformation together journey.

Source: Covalense Digital Blog

Visit: Covalensedigital LinkedIn

[atissi]

locked the fuck back in

[scritzar]

[jsheios]

crybaby

(Blood warning under the cut)

[sofnaskinder]

An Umbreon made out of stardust 🌌 And an Espeon as bright as the Sun ☀️

Hmmmmm......

I actually have a timelapse for the first one....!

[iniro]

HII my character & shape design tips PDF is now available! ^_^ hope you enjoy !!

BUY HERE or HERE

[maybeits-nana]

miku renaissance 🪩

[almondcroissantsandink]

The face is the mirror of the mind, and eyes without speaking confess the secrets of the heart and all that

[madscientistreaction]

guy from cowboy game

[jcmarchi]

The AI Explosion Continues in 2025: What Organizations Should Anticipate This Year

New Post has been published on https://thedigitalinsider.com/the-ai-explosion-continues-in-2025-what-organizations-should-anticipate-this-year/

The AI Explosion Continues in 2025: What Organizations Should Anticipate This Year

With AI forecasted to continue its explosion in 2025, the ever-evolving technology presents both unprecedented opportunities and complex challenges for organizations worldwide. To help today’s organizations and professionals secure the most value from AI in 2025, I’ve shared my thoughts and anticipated AI trends for this year.

Organizations Must Strategically Plan for the Cost of AI

The world continues to be ecstatic about the potential of AI. However, the cost of AI innovation is a metric that organizations must plan for. For example, AI needs GPUs, however many CSPs have larger deployments of N-1, N-2 or older GPUs which weren’t built exclusively for AI workloads. Also, cloud GPUs can be cost prohibitive at scale and easily switched on for developers as projects grow/scale (more expense); additionally, buying GPUs (if able to procure due to scarcity) for on-prem use can also be a very expensive proposition with individual chips costing well into the tens of thousands of dollars. As a result, server systems built for demanding AI workloads are becoming cost prohibitive or out of reach for many with capped departmental operating expenses (OpEx) budgets. In 2025, enterprise customers must level-set their AI costs and re-sync levels of AI development budget. With so many siloed departments now taking initiative and building their own AI tools, companies can inadvertently be spending thousands per month on small or siloed uses of cloud-based GPU and their requirement for AI compute instances, which all mount up (especially if users leave these instances running).

Open-Source Models Will Promote the Democratization of Several AI Use Cases

In 2025, there will be immense pressure for organizations to prove ROI from AI projects and associated budgets. With the cost leveraging low code or no code tools provided by popular ISVs to build AI apps, companies will continue to seek open-source models which are more easily fine tuned rather than training and building from scratch. Fine-tuning open-source models more efficiently use available AI resources (people, budget and/or compute power), helping explain why there are currently over 900K+ (and growing) models available for download at Hugging Face alone. However, when enterprises embark on open-source models, it will be critical to secure and police the use of open-source software, framework, libraries and tools throughout their organizations. Lenovo’s recent agreement with Anaconda is a great example of this support, where the Intel-powered Lenovo Workstation portfolio and Anaconda Navigator help streamline data science workflows.

AI Compliance Becomes Standard Practice

Shifts in AI policy will see the computing of AI move closer to the source of company data, and more on-premises (especially for the AI Development phases of a project or workflow). As AI becomes closer to the core of many businesses, it will move from a separate parallel or special workstream to that in line with many core business functions. Making sure AI is compliant and responsible is a real objective today, so as we head into 2025 it will become more of a standard practice and form part of the fundamental building blocks for AI projects in the enterprise. At Lenovo, we have a Responsible AI Committee, comprised of a diverse group of employees who ensure solutions and products meet security, ethical, privacy, and transparency standards. This group reviews AI usage and implementation based on risk, applying security policies consistently to align with a risk stance and regulatory compliance. The committee’s inclusive approach addresses all AI dimensions, ensuring comprehensive compliance and overall risk reduction.

Workstations Emerge as Efficient AI Tools In and Out of the Office

Using workstations as more powerful edge and departmental based AI appliances is already on the increase. For example, Lenovo’s Workstation portfolio, powered by AMD, helps media and entertainment professionals bridge the gap between expectations and the resources needed to deliver the highest-fidelity visual content. Thanks to their small form factor and footprint, low acoustic, standard power requirements, and use of client-based operating systems, they can be easily deployed as AI inference solutions where more traditional servers may not fit. Another use case is within standard industry workflows where AI enhanced data analytics can deliver real business value and is VERY line of sight to C suite execs trying to make a difference. Other use cases are the smaller domain specific AI tools being created by individuals for their own use. These efficiency savings tools can become AI superpowers and can include everything from MS Copilot, Private Chatbots to Personal AI Assistants.

Maximize AI’s Potential in 2025

AI is one of the fastest-growing technological evolutions of our era, breaking into every industry as a transformative technology that will enhance efficiency for all – enabling faster and more valuable business outcomes.

AI, including machine and deep learning and generative AI with LLMs, requires immense compute power to build and maintain the intelligence needed for seamless customer AI experiences. As a result, organizations should ensure they leverage high-performing and secure desktop and mobile computing solutions to revolutionize and enhance the workflows of AI professionals and data scientists.

[gatoburr0]

[fudgecake-charlie]

ten is not a good age to have an identity crisis, can you guys play tag or something instead