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AI-driven 6G networks: The future of telecommunications

AI-native 6G networks will redefine connectivity, integrating AI for seamless optimization, security, and efficiency in mobile communications

Telecommunications is undergoing a major transformation with AI-native 6G networks.

AI is transforming industries, and telecommunications is no exception. With the rise of artificial intelligence, a new concept is emerging—AI-native telecommunications networks. These networks integrate AI from the ground up, shaping the design, deployment, and operation of mobile communication systems.

As researchers push the boundaries of what’s possible, the next generation of wireless technology—6G—will depend heavily on AI to drive efficiency, security, and performance.

The Shift Toward AI-Native Telecom Networks

Mobile networks have evolved significantly over the past few decades. Early generations focused on increasing data speeds, but 5G introduced a shift toward integrating cloud services and edge computing into telecommunications infrastructure. While this brought new efficiencies, the leap from 5G to 6G is expected to be even more transformative.

AI-native networks move away from static, rule-based models and embrace adaptive, learning-driven approaches. These systems use large-scale AI models, including Generalized Pretrained Transformers (GPT) and other machine-learning algorithms, to manage network operations intelligently.

Unlike traditional telecommunications infrastructure, which relies on pre-defined rules, AI-native networks continuously optimize themselves based on real-time data.

Lauri Lovén, Director of the Future Computing Group at the University of Oulu Finland, who coordinates the Distributed AI research line in the national 6G Flagship research programme. (CREDIT: University of Oulu)

A crucial component of this vision is the AI Interconnect, a system that enables AI-driven decision-making within the network. This advancement enhances network performance in key areas, such as radio signal optimization, resource allocation, and security management. The ability to dynamically select, provision, update, and create AI models within the network will lead to smarter, more efficient communications systems.

The Role of Large Language Models in 6G

Large language models (LLMs) are at the core of this transformation. These AI-driven models process vast amounts of data, interpret human and machine-generated input, and execute complex operations with minimal human intervention. In the context of 6G, LLMs will serve multiple roles.

First, AI will be a tool for managing network operations, commonly referred to as “AI for RAN” (Radio Access Network). This approach enhances network efficiency by using machine learning to optimize signal transmission and traffic management.

Second, AI-based applications will leverage 6G connectivity to enable new services, an approach known as “AI with RAN.” From IoT devices to autonomous vehicles, these applications will rely on fast, intelligent networks to process and transmit data in real time.

Finally, AI will become an integral part of the network itself, referred to as “AI on RAN.” In this scenario, the network adapts AI capabilities dynamically, ensuring seamless integration between computing and communication functions.

According to Lauri Lovén, Director of the Future Computing Group at the University of Oulu and coordinator of the Distributed AI research line in Finland’s 6G Flagship research program, “During the first four generations of wireless, we got used to seeing data rates skyrocket to new heights at each turn, transforming the way people use the network. With 5G, the improvement didn’t feel quite as radical, even though it was taking place.

The focus of network development had shifted beyond improving the user experience, introducing various machine-to-machine communication scenarios and implementing network services using modern software development methods, making them easier and better to manage in many ways. Put simply, 5G integrated cloud services and edge computing into mobile networks. With 6G, wireless networks will be combined with artificial intelligence.”

This evolution sets the stage for a future where AI is not just a supplementary tool but a fundamental part of telecommunications infrastructure.

AI Interconnect’s cross-layer design across control, user, and application planes. (CREDIT: University of Oulu)

Research and Development in AI-Driven 6G Networks

The foundation for 6G is being laid today. The University of Oulu was the first in the world to publish a comprehensive 6G white paper in 2019, outlining key research directions. Since then, over a dozen scientific papers have expanded on various aspects of 6G, with a recent focus on AI integration.

The latest publication, Large Language Models in the 6G-Enabled Computing Continuum: A White Paper, presents a collaborative effort involving 46 researchers. Edited by Lovén and a team of international experts, the paper explores how AI and 6G will converge to create new communication paradigms.

“Our focus is on the technical aspects, but we also briefly discuss regulatory and application dimensions, as well as security and resilience,” Lovén explains.

“Research on AI methods and ethical concerns is excluded from this publication. The writing process was demanding, but we are pleased with the final result. During the writing, there were differences of opinion. A small group of authors decided to withdraw their contributions altogether because they felt the changes we proposed were too extensive.

No conflicts occurred, however. The rules of the game were clear from the start: the editors have the final say on content.”

By addressing both technical challenges and broader implications, researchers are helping shape policies and innovations that will define the future of telecommunications.

Taxonomy of LLMs for 6G, mapping the potential applications of LLMs to both 6G use cases and underlying network architecture enablers. The LLM controller serves as a hub, suggesting the cooperative and management roles LLMs can play in a 6G ecosystem. (CREDIT: University of Oulu)

The Future of AI-Driven Telecommunications

6G networks will introduce a new level of automation and intelligence. The integration of AI will not only improve network efficiency but also revolutionize the way data is transmitted, stored, and processed.

The implications extend beyond telecommunications. AI-driven networks will play a critical role in industries such as smart cities, autonomous transportation, and robotics.

The ability to process data at ultra-fast speeds with minimal latency will enable applications that were previously impossible.

“Of course, the technologies for different AI models are developing at a dizzying pace, and so are the applications. On the tele-networking and computing continuum, from local devices to cloud computing centers, these may change not only the content of data transmitted and processed but also the methods of managing the network and its computing capacity.

Meanwhile, we may soon have personal AI helpers, or even a whole army of them, and we can already see the enormous computing and data transmission requirements that will come with them,” Lovén says.

Ecosystems will harness the capabilities of 6G, targeting goals like smart cities, gender equality, and climate change mitigation. (CREDIT: CC BY-SA 4.0)

Despite rapid advancements, some challenges remain. AI development moves at an unprecedented speed, while telecommunications standards follow slower cycles.

A new generation of mobile networks typically takes a decade to reach widespread adoption. Given this timeline, researchers are already preparing for the expected launch of 6G in the early 2030s.

“This was necessary and worthwhile to get published. In AI research, five years is a very long time.

A lot can happen in a year! But data network cycles are slower. And standardization takes a long time. One G takes about ten years. 6G is expected to hit the consumer market sometime in the early 2030s. That’s why we’ve already been researching it for years,” Lovén explains.

From early human-to-human communication to AI-driven interactions, the evolution of wireless networks has been remarkable. The next step will see AI playing a central role in facilitating human-to-machine and even machine-to-machine communication.

As researchers push the limits of AI and telecommunications, the future of connectivity will be shaped by networks that learn, adapt, and evolve in real time. The AI-native telecom revolution is just beginning.

Source: www.thebrighterside.news

Writer: Joshua Shavit

Ericsson aims to stand out at MWC25

Ericsson outlined plans to open its previously invite-only stand at MWC Barcelona to wider audiences including enterprise customers and developers this year, with an open area set to showcase its network capabilities.

Speaking to Mobile World Live as part of our MWC25 Preview Week, Cecilia Atterwall, head of marketing at Ericsson, revealed the vendor’s usual exhibit in Hall 2 will include a new open area where visitors can expect demonstrations of emerging technologies including augmented reality experiences, while it will also promote 5G enterprise applications.

The stand will also highlight the role of cellular connectivity, fixed wireless access and network APIs in driving business innovation, particularly for small and medium-sized enterprises. With nearly 100 cases from a set of 100 different partners, 20 per cent of Ericsson’s demo team will come from external companies.

In line with its push for industry collaboration, the company will showcase its work with major industry players, including Salesforce, BT, KDDI, Toyota, and Nvidia Omniverse.

Atterwall stated enhanced capabilities at the pavilion, which spans 6,000 square metres, is driven by a belief that the telecoms industry now requires “a shift in our industry and in how we collaborate and work together so no one can make it on their own”. 

She further pointed to Ericsson’s latest partnership with multiple operators to establish Aduna, a venture focused on expanding access to network APIs, as an example underscoring the vendor’s efforts towards establishing an interconnected ecosystem.

Atterwall continued: “We’re trying to work from the perspective of the users, both enterprise customers and consumers, what are the key value points of differentiated connectivity?”

Source: tynmagazine.com

Global chipmakers anxious as US mulls Chips Act changes

Taiwan-based chipmaker GlobalWafers revealed its funding under the US Chips and Science Act is being reviewed by the new administration but highlighted it has not yet been notified of any changes, Reuters reported.

Certain conditions in the act aren’t aligned with President Donald Trump’s policies and are under review, the Chips Act programme officer told a GlobalWafers representative, the news agency wrote.

Under the contract approved by former US President Joe Biden, the company is set to receive $406 million in government funding for projects in Texas and Missouri. The funds will only be awarded to the company after it meets specific milestones this year.

The Trump administration reportedly raised flags about conditions requiring companies receiving government funds to use unionised labour for construction and provide childcare for workers, Reuters stated.

Other global chipmakers including Intel, Taiwan Semiconductor Manufacturing Co, Samsung and SK Hynix did not comment on the report, according to the The Korea Herald.

The newspaper noted any modifications in the funding stipulated in contracts for South Korea’s chipmakers would “deal a heavy blow to their advanced semiconductor production facilities currently under construction in the US”.

Samsung plans to invest more than $40 billion to expand its semiconductor manufacturing capabilities in the state of Texas, with government support of $4.6 billion, while SK Hynix scored $950 million in subsidies and loans for an AI chip facility. That add to its planned investment of $3.8 billion in Indiana.

Source: Mobile World Live

Rakuten Mobile targets full-year profitability in 2025

Rakuten Mobile achieved profitability in the final month of 2024 five years after launch, with chair Mickey Mikitani targeting full-year EBITDA to turn positive in 2025, driven by subscriber and ARPU gains.

The operator’s EBITDA in December hit JPY2.3 billion ($15.1 million). The figure for the full-year dropped by JPY98.7 billion from a year ago to a loss of JPY53.8 billion.

Mikitani attributed the move to profit to strong subscriber acquisition and increased ARPU due to improved network quality, as well as ongoing cost control and rising ad revenue.

He added Rakuten Mobile will be “a driving force” for the group’s future growth, accounting for 34.4 per cent of consolidated revenue growth in 2024.

Mikitani noted it covered annual capital needs without relying on new debt for the group. Capex fell from JPY169 billion in 2023 to JPY81 billion last year. The company noted some investments were postponed to 2025, with the outlay forecast to climb to JPY150 billion.

Service revenue in Q4 grew 40.3 per cent to JPY46.6 billion, with its operating loss declining to JPY46 billion from JPY62 billion a year earlier.

The operator added 1.6 million subscriber to take its total to 8.3 million at end-2024. Core ARPU increased 2.6 per cent to JPY1,770.

The company outlined its three-pronged approach to executing on its AI ambition, with 2025 to be the year of scaling after launching Rakuten AI for Business last month and its consumer AI offering in October 2024.

Chief AI and data officer Ting Chi noted the company plans to scale its AI foundation by adding useful deep learning applications across the Rakuten ecosystem.

Source: Mobile World Live

Musk to pull OpenAI bid if it remains a non-profit

Elon Musk

Elon Musk (pictured) would withdraw a $97.4 billion offer to buy OpenAI if the ChatGPT maker agrees to stop its conversion into a for-profit entity, a court filing showed.

The tech billionaire called for action in a filing to a US district court on 12 February.

“If OpenAI, Inc.’s Board is prepared to preserve the charity’s mission and stipulate to take the for sale sign off its assets by halting its conversion, Musk will withdraw the bid,” the court documents revealed.

“Otherwise, the charity must be compensated by what an arms-length buyer will pay for its assets.”

Musk, his AI company xAI and investment companies Baron Capital Group and Emmanuel Capital, launched a bid to buy OpenAI’s non-profit division on 10 February.

The consortium accused OpenAI CEO Sam Altman of abandoning the company’s original mission of developing AI for good in favour of profit.

Altman rejected the offer and stated on Musk-owned X “we will buy Twitter for $9.7 billion if you want”.

The OpenAI CEO told CNBC Musk’s offer is a ploy to “slow down a competitor”.

OpenAI was founded as a non-profit in 2015 and then moved to a “capped profit” model in 20219, CNBC wrote.

In September 2024, OpenAI initiated a restructure, making its for-profit unit independent from its non-profit parent to boost its ability to raise funds.

Musk is a co-founder of OpenAI, but left the organisation in 2018 following clashes with Altman and since criticised the company’s revised business model.

CNBC reported the Tesla and SpaceX founder yesterday (13 February) repeated his concern over the change in OpenAI’s business model during a video address to an audience at the World Governments Summit in Dubai.

Musk reportedly said he provided $50 million to OpenAI with the understanding it was meant to be open source and a non-profit entity.

The news site reported he told the audience OpenAI should change its name to “maximum profit AI”.

Source: Mobile World Live

Apple teams with Alibaba, Baidu to localise AI platform

Apple aims to launch its AI platform on iPhones sold in China in May, with Bloomberg reporting the company will use its own models and work with local partners to overcome regulatory hurdles.

The US-based vendor has teams in China working to adapt Apple Intelligence to the local market, the news agency noted.

While iPhones in mainland China will run Apple’s own on-device AI models, the handsets will use Alibaba software to censor content not approved by the government in the background without the customer knowing.

Local regulators require companies to secure approval before launching generative AI services.

China’s government can order Alibaba to tell Apple to change its AI models when content runs afoul of state guidelines, Bloomberg wrote.

Baidu will be a secondary partner, working on undisclosed features.

The initiative comes as Apple faces declining iPhone sales in China.

Data from IDC showed iPhone shipments in Q4 2024 dropped 9.6 per cent year-on-year and its share fell from 20 per cent to 17.4 per cent. The research outfit credited the decline to increased competition, particularly from Huawei, and uncertainty around the launch of Apple Intelligence in China.

Apple’s sales in China fell 11.1 per cent to $18.5 billion in its fiscal Q1 2025 (the period to 28 December 2024)

Earlier in the week, Bloomberg reported Alibaba reached a deal with Apple to develop AI features for iPhones sold in China.

Source: Mobile World Live

TikTok back on Google, Apple stores

TikTok

Google and Apple restored ByteDance’s social media platform TikTok to their app stores in the US around a month after enacting a government ban on access, having apparently been offered assurances they will not face prosecution.

TikTok issued a brief statement today (14 February) explaining users in the US were again able to download the service through Google Play and the App Store.

The people of the US can “continue to create, discover and share what they love on TikTok”, it proclaimed.

Bloomberg reported Google and Apple received personal assurances from US President Donald Trump they would not face any legal backlash for offering the service.

TikTok complied with a requirement to halt access to its service in the US by 19 January, resulting in an outage, but President Trump made restoring it a priority after taking office on 20 January.

Despite the service being restored, Google and Apple hesitated to put TikTok back on the shelves of their app marketplaces because the legislation to ban the service had been paused rather than reversed.

President Trump is keen to see the US elements of TikTok sold to a domestic company and even mooted the government taking a stake.

Source: Mobile World Live

What is the world’s best open-banking regime?

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(Experience from around the world is generating some best practices for open-banking regimes.)

Open banking regulation has existed since versions were introduced in 2018 by the UK, the European Union and Mexico.

Since then, Brazil, India and South Korea have emerged as the biggest success stories for open banking. In Brazil and Korea, open banking – data-sharing around payments and bank deposits – has expanded to open finance, including insurance, investments, and pensions. In India, it is driving financial inclusion.

Several countries are also pursuing more expansive regulation, including Australia, Korea and the United Arab Emirates. Their frameworks incorporate non-financial sectors including energy, telecommunications, and healthcare.

Collectively these experiences provide a window into what open banking is, its variety, what it can achieve, and its limitations. They also illuminate the regulatory and design issues that other countries, including many in Asia, must consider as they look to promote open banking.

Open banking

Open banking is the sharing of customer information, upon the customer’s request or consent, with third parties by data holders (banks or other financial institutions). This may include orders to initiate a payment from the customer’s bank account to purchase a service with the third party.

Governments have different reasons to promote open banking: to expand financial inclusion, to foster competition, to grow the menu of services available to consumers, or to encourage innovation.

While none of these goals are mutually exclusive or incompatible, the enabling legislation or regulation must reside somewhere, which colors the way open banking unfolds.

For example, the UK and Australia drive open banking through their competition authorities, while the European Union’s framework stems from its payments regulation, and Brazil’s is pushed by its central bank.

It’s also worth noting that many countries have commercial open-banking relationships that are purely private-sector initiatives; or they have some more limited regimes, operated by banking regulators, with narrower scope – such as Switzerland, Singapore, and Hong Kong. India is unique in that it has a comprehensive open-banking framework, but it’s voluntary. The United States had a purely market-based approach until last year, when it passed long-awaited enabling legislation from the Dodd-Franks Act – but it is unclear whether the new Trump administration will honor it, or gut it.

This article will focus on the global leaders, however, as in aggregate they have the most useful lessons to share.

Why do it?

The biggest question about open banking is whether it’s worth the effort.

Data sharing isn’t a novelty. In the past it involved screen scraping, a longstanding practice by fintechs to copy information displayed on a web screen, and use that information for financial aggregation or another use. Scraping is messy, though, even if authorized by a customer. Data ownership is disputable; access to website information can be patchy; it’s slow; and it poses security risks.

Moving from this janky hacker approach to a smooth, consent-managed, licensed system where property rights are clear is a big reason why the UK and EU introduced open banking. This kind of sharing relies on application programming interfaces (APIs), connective software that allows streamlined, secure and efficient transmission of data.

But moving data via API also has its costs. Building and maintaining APIs, consent-management protocols, and related cybersecurity and data protection measures is expensive.

There are also risks.

Banks resist letting go of data they regard as theirs to keep, as stewards if not owners. While banks often resent open-API mandates, and treat them as compliance exercises, it’s also true that shifting too much power to fintechs could make commercial banking unprofitable. As the Silicon Valley Bank episode highlighted, highly digitalized systems with fluid money movements can catalyze a bank run; they also make cyberattacks more likely.

Poor guardrails mean data is used to discriminate against consumers, not empower them. And a badly regulated regime could allow third parties to abuse data or evade regulation.

Who’s using it?

The simplest way, therefore, to weigh the benefits against the costs and risks is to ask, are consumers using open banking to make payments and conduct other transactions?

The picture is mixed.

The earlier regimes took a long time to see users adopt open banking. The UK, for example, took six years to reach about 12 million users, or 13 percent of bank account holders. In Australia, the government doesn’t release user counts, but the Australian Bankers Association complains the numbers are negligible.

The pace of usage is increasing, however. The UK’s Open Banking Limited (the UK’s open banking authority) says people using open banking now make 22 million transactions a month. Additional reforms in Australia will now enable payment initiations (people can request third parties make transactions straight out of their bank accounts), beefing up the regime’s utility.

Other markets, meanwhile, have seen dramatic uptake. The biggest is Korea, where 54.8 million people use open finance. In Brazil it’s 35 million people. India’s open-banking regime is based on the ‘India Stack’, and 350 million people use its United Payments Interface.

In all three cases, authorities set out purposeful enabling regulation that began with targeted uses but quickly expanded. These efforts engaged banks, fintechs and third parties from the outset. They also rode on the back of critical payments infrastructure and a locally vibrant fintech industry. Finally, they both centralized API standards.

South Korea

Korea launched open banking in 2019, requiring banks to build APIs for sharing account balances and transaction histories. It soon expanded to include non-banks such as stockbrokers and insurers – and fintechs and Big Tech companies too, which must also share data upon request.

Seoul followed up with digital-ID initiatives and expanded the scope of data, as well as its granularity, so that all kinds of data – financial and non-financial – could be warehoused in one place. This led to use cases including loans, leases, insurance, pensions, credit cards, and paying telecom bills.

In 2022 the government took another important step by mandating consumers be allowed to take their data with them, including data related to healthcare records, energy usage, transportation, education, real estate, and more.

Portability isn’t necessarily best practice for open banking: it may be better to drive interoperability by letting people use their data in its original location, rather than move it from the platform. But where the law doesn’t mandate this, portability is another means of driving competition.

To turn information into useful services, fintechs have been empowered to use the data for advisory services, intermediation, marketing, and even direct provision of financial services. Creating this environment powered several of Korea’s biggest fintechs and digital banks, such as Toss.

This wouldn’t be possible without involving the traditional banks, though, which have also aggressively rolled out open-banking services. The competitive threat has made the likes of Shinhan Bank very digitally competitive.

The biggest takeaway from Korea is the need for collaboration among regulators, legislators, banks, and fintechs, to ensure interoperability. It helps that the retail payment system and the open-banking system are managed by the same regulator (The Korea Financial Telecommunications and Clearing Institute), which ensures APIs are compatible.

Brazil

Brazil is a newer entrant. Its Banco Central do Brasil and its affiliate responsible for monetary policies, the Conselho Monetário Nacional (CMN), launched open banking in 2021. In Year One, the system had as many users as the UK had managed in four years.

Like in Korea, complete interoperability (but based on in-place data, rather than portability) was key to success. So was a comprehensive legislative and regulatory framework. CMN defined API standards and enabled payment initiation services from the beginning. Within Latin America, this contrasts with Mexico, which was the first-mover in open banking. But Mexico didn’t standardize APIs or allow payment services initiation, and it was eclipsed.

Brazil drew on the existence of Pix, the central bank’s domestic real-time payments system built for mobile and online transacting, which only launched in 2020 but has become the primary way Brazilians make domestic payments. BCB reported in January that in 2024, it processed 64 billion Pix transactions, a 53 percent growth from 2023, far exceeding the volume of debit and credit card transactions.

With that backbone, open banking could quickly expand to open finance, incorporating savings, investments, mortgages, insurance, and pensions. It is now evolving to create banking-as-a-service models that will allow consumers to make payments for third-party services within the third party’s app, instead of having to switch back to a bank’s app.

India

India has combined a centralized, top-down approach to API standards and a compulsory digital infrastructure including Aadhaar, its identity platform, and voluntary services such as its Account Aggregator network, part of its United Payments Interface. These components of the India Stack allow businesses, consumers, and the government to transact electronically, based on a foundation of unique data identifiers.

Unlike Brazil and Korea, open banking in India is voluntary. This is possible because India’s commercial banks are already strong and digitally capable. Another facet in India is the ultra-low cost of data. In other countries such as the UK, making open banking compulsory has been critical to adoption, but India has opted use data law instead: in India, data is encrypted and aggregators cannot access or use it beyond an express purpose. This builds trust.

The Account Aggregator was introduced in 2021 to share financial information in order to improve credit access for customers, especially micro- and small businesses. Customers give an aggregator consent to share their information with a third party, be it a bank or a fintech lender. Importantly, the aggregators don’t have access to the data and can’t hold onto it: they can only collect and transfer it. As of end 2023, aggregators handled a cumulative 148 million customer requests, of which 40 million were fulfilled.

Consumer trust

India, Korea and Brazil have worked to broaden the scope of financial data that can be shared, while making the process very user-friendly. The sharing takes place among regulated entities. India and Korea base this on data-portability regulation, while in Brazil the authority is provided by the central bank.

Even in these places, however, consumer understanding of open banking is limited. People are wary of scams. They don’t necessarily trust third parties. If this is still true in Brazil, it’s even more so elsewhere. This cuts to the complaints that many banks make about open systems: there are no uses cases because customers don’t value this.

In Australia, the government budgeted A$88 million to launch open banking – mainly to mitigate integration costs for smaller banks, but also to support a marketing effort. It doesn’t seem to have made an impact.

The big lessons are an inclusive approach between banks, fintechs, and authorities; an existing IT payments infrastructure and a robust fintech or digital banking marketplace; and a comprehensive legislative and regulatory framework that has a clear progression but is staged, so as to not overwhelm the system. The Korean and Brazilian examples show that it doesn’t take long to evolve into an open finance regime, if the basics are established.

More questions

Other questions are not as clearly answered.

For example, should APIs be standardized by a central regulatory authority? For Brazil, India and Korea, the answer was yes, but this may not be gospel. Centralization has the advantage of clarity and speed. It could, however, hamper competition, differentiation, and innovation.

A decentralized approach may be better for cybersecurity, too. But if there’s not a mandated standard, there needs to be regulation to promote interoperability, which begins with data protection and portability.

Another question is treating third parties: should these be subjected to a government license, which implies an accreditation process? Will people trust them if they’re licensed? Or are banks better off deciding who meets their specifications? Should banks be allowed to work only with preferred partners, or should there be some threshold at which point the customer can insist on having their data shared with another party? There is a variety of approaches around the world and it’s too early to say if one model is the best.

Should data sharing be accompanied by payment initiation? Probably yes, although how this is managed may depend on the strength of the banks, to ensure they aren’t undermined. Initiation can lead to services like recurring payments, and is key to making the leap from open banking to open finance, but it requires a sensible regulatory framework.

What adjacent digital infrastructure is required? The leaders in open banking show the need for good payments rails. Many Asian countries boast world-beating domestic payment infrastructure. What’s more useful is connecting this to non-financial services, and to digital identity frameworks, as India has done (although there are other models for digital ID than a centralized database). These will allow the rapid expansion of open finance uses.

Thinking ahead

The UAE is a newcomer to open banking. Its blueprint calls for open banking to go live in 2026, but including insurance and lending from the outset – more of a big bang, which will be a good test for how quickly a user base can adopt these services. But the UAE is also driving regulation for crypto, licensing stablecoins, and experimenting with cross-border payments on blockchain in Project mBridge (with China, Hong Kong and Thailand).

The longer-term potential for open finance seems necessary for fully realizing the potential of emergent tech like AI agents and digital assets. In the crypto world, DeFi rails rule, and self-owned wallets allow all manner of assets and liabilities to be packaged as tokens. The world of conventional banking is based on accounts, not wallets. The real leap in open finance could be about adapting data-sharing consent mechanisms to connect the old world and the new.

Source: www.digfingroup.com

MOMAG Pays Courtesy Call on EMIs Chamber, Discusses Industry Growth and Collaboration

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Accra, Ghana – The leadership of the Mobile Money Advocacy Group Ghana (MOMAG) has paid a courtesy call on the leadership of the Electronic Money Issuers (EMIs) Chamber of Ghana to discuss opportunities for collaboration and strategies to enhance the growth and sustainability of the mobile money ecosystem.

The visit, which took place in Accra, focused on the evolving landscape of mobile money operations, the need for innovation, and the importance of strengthening partnerships to drive Ghana’s digital financial agenda. The EMIs Chamber pledged its full support to MOMAG as the association works to achieve its objectives and adapt to the changing dynamics of the mobile money industry.

A Changing Industry Requires Innovation

During the meeting, Ing. Dr. Kenneth Ashigbey, CEO of the EMIs Chamber of Ghana, emphasized the need for mobile money agents and their association to evolve with the times. He noted that the world of mobile money is rapidly changing, driven by advancements in financial technology and shifting consumer expectations.

“The role of mobile money agents is expanding beyond traditional cash-in and cash-out services,” Dr. Ashigbey stated. “To stay relevant, agents must position themselves to offer additional products such as insurance, pensions, and mortgages.”

The leadership of MOMAG, led by its President Edward Ofori Agyemang, outlined its plans for the year as well as earmarked activities for the rest of the year and beyond. He also stated that MOMAg is ready to work with key institutions to train its agents in the distribution of financial products among others.

Key Highlights from The Meeting

  1. Financial Literacy and Capacity Building:
    MOMAG announced plans to among other things hold a financial literacy workshop on later this year, to equip members with essential skills in financial planning, auditing, and cybersecurity protection.
  2. Expanding Services for Agents:
    Discussions centered on empowering agents to sell a broader range of financial products, including mortgages, insurance packages, and pension plans.
  3. Tackling Fraud and Security Concerns:
    Fraud prevention emerged as a major concern, with MOMAG and the EMIs Chamber agreeing to work with relevant stakeholders such as the Ghana Police Service to raise awareness about fraud amongst their customers and the agent populations across the country.

Commitment to Collaboration

The EMIs Chamber commended MOMAG for its proactive efforts and reiterated its commitment to supporting the association’s growth.

“The mobile money industry has become a cornerstone of Ghana’s financial inclusion drive,” said Dr. Ashigbey. “As MOMAG continues to empower its members, we stand ready to collaborate and provide the necessary support to build a more resilient and inclusive ecosystem.”

Looking Ahead

The meeting concluded with both parties agreeing on a roadmap for joint activities and initiatives. The EMIs Chamber pledged to assist MOMAG in its efforts to implement industry best practices, improve agent welfare, and ensure the sector’s long-term sustainability.

With mobile money continuing to play a pivotal role in Ghana’s digital financial landscape, the collaboration between MOMAG and the EMIs Chamber is expected to unlock new growth opportunities while enhancing consumer trust and satisfaction across the sector.

Ericsson CTO confident industry is on the right path

Ericsson SVP and CTO Erik Ekudden (pictured) insisted the industry is on the cusp of the next wave of innovation, with pieces coming together from across the technology stack, as the vendor used its pre MWC25 Barcelona briefing to heavily push its programmable networks and API strategy.

Speakers from across Ericsson’s business used its annual media and analyst summit to provide a broad overview of the company’s activities in areas including fixed wireless access (FWA) uptake; 5G enterprise; the extended reality (XR) opportunity; and creating the best networks for AI, before discussing plays across open networks and its API push.

Ekudden opened, explaining Ericsson is pursuing a strategy across a range of areas, because it believes in the opportunity for its customers and the whole industry “to take the next step”.

“We are now getting all the pieces in the puzzle together across this tech stack from high-performing programmable networks, radio transport to core networks, across the whole layer of management, orchestration, monetisation and exposure, moving towards autonomous networks,” he explained.

Ahead of MWC25 Barcelona, Ericsson also unveiled its latest radio, antenna and RAN products to advance its programmable networks portfolio.

In total, it released seven energy-efficient and high-performing massive MIMO and remote radios, indoor 5G offerings and open fronthaul products dubbed RAN Connect.

With its enhanced portfolio, Ericsson stated it will offer 130 radio products supporting open and programmable networks during 2025, “outpacing the competition”.

Aduna
Ericsson has also taken the lead in Aduna, a venture bringing together big operators and platform providers, to accelerate and coordinate the industry’s efforts around APIs.

The technology chief said it was intent on using Aduna to “create one industry-wide platform that has all the capabilities of these networks available”, together with distribution partners including Google Cloud.

“This is where it all comes together, so the full technology stack is available.  We provide all the components and in doing this, working together with partners in the ecosystem, we have a chance to unleash a lot more value in other industries.”

Source: Mobile World Live