logo
Tech Mahindra Joins the AI-RAN Alliance to Advance 5G and AI-Powered Networks

Tech Mahindra Joins the AI-RAN Alliance to Advance 5G and AI-Powered Networks

Tech Mahindra announced its membership in the AI-RAN Alliance , a global initiative committed to fostering the development and deployment of AI-driven solutions within Radio Access Networks (RAN). This collaboration will enable Tech Mahindra to help its customers, enterprises, and partners navigate the evolving telecom landscape.
As a significant player in the telecom systems integration sector, Tech Mahindra will leverage its expertise in network architecture, AI, Open RAN, and 5G technologies to support the alliance's mission of accelerating innovation and enhancing the efficiency of next-generation networks. Through its membership in the AI-RAN Alliance, Tech Mahindra will work alongside industry leaders to create AI-powered RAN solutions that improve network performance, optimize operational costs, and open new opportunities for telecom providers worldwide. Membership also ensures alignment with global industry standards, enhancing service reliability and delivering more efficient and scalable solutions.
Manish Mangal, Chief Technology Officer, Telecom & Global Business Head, Network Services at Tech Mahindra, said, 'AI is no longer a futuristic concept; it is actively shaping networks today. Initiatives like AI-RAN Alliance enable Tech Mahindra to collaborate with telecom operators, vendors, and AI experts to develop cutting-edge, future-ready solutions. With our experience in systems integration and a robust network of strategic partnerships, we are well-poised to drive the AI and 5G revolution, enabling efficient and scalable networks globally.'
Being part of this alliance positions Tech Mahindra as an industry leader in the rapidly evolving telecom sector, showcasing its commitment to innovation. Alliance members will leverage their technology expertise and collective leadership to focus on three main areas of research and innovation:
AI for RAN– advancing RAN capabilities through AI to improve spectral efficiency.
AI and RAN– integrating AI and RAN processes to utilize infrastructure more effectively and generate new AI-driven revenue opportunities.
AI on RAN– deploying AI services at the network edge through RAN to increase operational efficiency and offer new services to mobile users.
Network operators in the alliance will spearhead the testing and implementation of these technologies, developed through the collaborative efforts of member companies and universities.
Alex Jinsung Choi, Chair of the AI-RAN Alliance and Principal Fellow of SoftBank Corp.'s Research Institute of Advanced Technology, said, 'We are thrilled to welcome Tech Mahindra to the AI-RAN Alliance as we continue to drive innovation at the intersection of AI and next-generation networks. Tech Mahindra's deep expertise in network architecture, AI, Open RAN, and 5G technologies will be invaluable in advancing our mission to create AI-native RAN solutions that enhance network performance and efficiency. Together, we look forward to shaping the future of intelligent, AI RAN-powered telecom networks.'
The membership is in line with Tech Mahindra's vision to enable intelligent, intent-driven, open, and simpler networks. This initiative emphasizes not only the deployment and management of these networks but also aims to effectively address the diverse use cases that exist today and those anticipated in the future.
Orange background

Try Our AI Features

Explore what Daily8 AI can do for you:

Comments

No comments yet...

Related Articles

China proposes global AI co-operation organisation
China proposes global AI co-operation organisation

The National

time3 hours ago

  • The National

China proposes global AI co-operation organisation

China proposed a new global artificial intelligence co-operation organisation amid a patchwork of regulations among countries, as Beijing's competition with the US over the critical technology heats up. Chinese Premier Li Qiang on Saturday called for an international framework to regulate AI as its governance is fragmented, he said at the opening of the annual World Artificial Intelligence Conference in Shanghai. 'Global AI governance is still fragmented. Countries have great differences, particularly in terms of areas such as regulatory concepts, institutional rules,' Mr Li said. 'We should strengthen co-ordination to form a global AI governance framework that has broad consensus as soon as possible.' China's proposal comes just days after US President Donald Trump unveiled a three-pillar strategy that his administration refers to as America's AI Action Plan, after much anticipation from US technology companies. Accelerating artificial intelligence innovation, building AI infrastructure in the US and leading in AI diplomacy are the strategy's three main planks. The plan to export US AI technologies, for example through international data centre initiatives, may help the US to gain influence as other countries seek to join the race to provide computational power for AI. Hypothetically, it could also give the US a competitive edge over China, which also aims to be a dominant AI player. Beijing and Washington are locked in a rivalry with AI shaping up as a key battleground between the world's two biggest economies. An 'exclusive game' During the three-day World Artificial Intelligence Conference on Saturday, Mr Li said that AI could become an 'exclusive game' for a few nations and companies. 'Currently, key resources and capabilities are concentrated in a few countries and a few enterprises. If we engage in technological monopoly, controls and restrictions, AI will become an exclusive game for a small number of countries and enterprises,' Mr Li said. Going forward, China will seek to propel AI development in the Global South, Mr Li said, according to a Bloomberg report. China said it is considering Shanghai as the headquarters of the proposed global AI co-operation centre. Ma Zhaoxu, China's Vice Foreign Minister, told a gathering of representatives from more than 30 countries, including Russia, South Africa, Qatar, South Korea and Germany, that China wanted the organisation to promote pragmatic co-operation in AI and was considering putting its headquarters in Shanghai, Reuters reported. China's AI and semi-conductor sectors are showing strong growth, despite US export controls, according to a June report by Jefferies, an investment banking and capital market firm based in New York. Huawei debuts AI computing system At the same conference on Saturday, China's Huawei Technologies showed off an AI computing system, as the technology giant aims to capture market share in the country's growing AI sector. The CloudMatrix 384 system made its first public debut at the World Artificial Intelligence Conference. Semiconductor research group SemiAnalysis in April called it "China's Answer to Nvidia GB200 NVL72", the US chipmaker's most advanced system-level product currently available in the market. "This solution competes directly with the GB200 NVL72, and in some metrics is more advanced than Nvidia's rack scale solution. The engineering advantage is at the system level, not just at the chip level, with innovation at the networking, optics, and software layers," SemiAnalysis said in its April report.

Future is 'Agentic' and already unfolding
Future is 'Agentic' and already unfolding

Tahawul Tech

timea day ago

  • Tahawul Tech

Future is 'Agentic' and already unfolding

Let me take you on a journey, not into some far-off sci-fi future, but into a tomorrow that's just around the corner. Imagine walking into your workplace and finding that some of your 'colleagues' are no longer human. They're not robots in the traditional sense, but autonomous software agents trained on vast datasets, equipped with decision-making power, and capable of performing economic, civic, and operational tasks at scale. These agents write policies, monitor supply chains, process health records, generate news, and even govern our digital interactions. This isn't a scene from a movie. A tectonic shift is heading our way, one that will transform how we work, how governments function, and even how communities operate. In this world, digital public infrastructure (DPI) will not be a convenience. It will be a lifeline. This shift is already progressing in the heart of the Middle East. Ambitious projects like NEOM in Saudi Arabia are exploring how agentic AI can be woven into the fabric of urban life. They aim to build an ecosystem of autonomous agents that redefines how cities are developed and managed. Sovereignty in the Age of Agents We like to say, 'Everyone has data.' But the real question is: Where is it? Who controls it? Who governs access to it? In a world run by agents, these are not purely technical questions but ones of power, accountability, and autonomy. A sovereign nation that cannot locate, trust, or manage its data risks losing control.. A government that cannot verify what its own agents have learned, or with whom they are communicating with, is no longer governing. To survive and thrive in this new ecosystem, DPI must evolve into Digital Shoring: a foundation for sovereign, trusted, and open environments built on four pillars: Open Data – depends on trust. It requires clear data lineage, verified provenance, and accountable governance. Knowing where your data came from and where it's going is essential for any system that relies on it.. Open Source Software – because critical infrastructure built on black boxes is neither secure nor sovereign. Open Standards – because without shared protocols, agents can't cooperate, institutions can't interoperate, and governments can't govern. Open Skills – because the capacity to read a balance sheet, or audit a neural net, shouldn't belong to a privileged few. This is the backbone of an agentic society that is fair, sovereign, and resilient. Agentic Intelligence: More Than Just Fancy Tools Let's talk about what agents actually are – and what they aren't. Imagine I hand a company's financial statement to two readers: a junior analyst and a seasoned economist. Both might understand the numbers, but only one can extract strategic insight. Similarly, agents can read, analyze, and reason. But the quality of their actions depends entirely on the skills they are equipped with. These skills can be trained, acquired, or, most importantly, shared. In public sector contexts, this presents an extraordinary opportunity. Why should every institution reinvent the same agent? Why can't the skills of a fraud detection agent used in one department be transferred, securely and ethically, to another? Just like people share their expertise, we need infrastructure for sharing agentic capabilities across digital institutions. This is where organizations like the UN can help, by setting the standards and helping everyone through the lens of the Global Digital Compact initiative. From 'Sovereign Cloud' to 'Sovereign AI Platforms' Right now, a lot of talk is around keeping data inside national borders. But in the world of agents, that is just not enough. What really matters is where and how models are trained, how they are managed, and how we keep them in check. We need Sovereign AI Platforms – akin to the way HR departments manage employees: verifying credentials, ensuring alignment, monitoring performance, and enabling collaboration. Companies such as Cloudera, are developing the scaffolding for such platforms: secure hybrid AI environments, open-source data pipelines, governance-first orchestration layers, and modular LLM serving infrastructure that respects national compliance frameworks. But no company can do this alone. This is a global mission. Open by Design. Governed by Default Governments around the world are already realising that private AI cannot be built on public cloud monopolies. Digital identity and agent oversight need to be open and transparent, not hidden, ad hoc, or opaque. So the future must be open by design – in code, in data, in protocols, and being governed by default. From Digital IDs that authenticate not only humans, but also agents and their behavior, to full knowledge graphs that maintain shared institutional knowledge across systems, together with audit trails that document every decision, every inference, every prompt. This goes beyond technology. It involves creating a new kind of digital society that is designed to empower states, safeguard citizens, and align intelligence with democratic values. The Path Forward This transformation will not be easy. It will require bold policy, sustained investment, cross-border cooperation, and, above all, technical leadership grounded in values. But make no mistake, digital cooperation is not optional. It is the condition for sovereignty in an agentic world. Without it, we are left with silos, vendor lock-in, and algorithmic drift. With it, we build a future where intelligence, human or machine, serves the public good. So let's move beyond the buzzwords. Let's build platforms, protocols, and public goods that are open, modular, and sovereign. Let's treat agents not just as tools, but as members of a digital society in need of governance, trust, and cooperation. And maybe, when we look back at today from the vantage point of tomorrow, we'll remember this moment not as a crisis, but as the moment we chose to govern the future together. This opinion piece is authored by Sergio Gago Huerta, CTO at Cloudera.

AI's impact expands beyond underwriting in insurance sector: Report
AI's impact expands beyond underwriting in insurance sector: Report

Arabian Business

timea day ago

  • Arabian Business

AI's impact expands beyond underwriting in insurance sector: Report

Artificial intelligence (AI) continues to reshape the insurance sector, extending its influence beyond underwriting and risk profiling to other critical areas of the insurance value chain, according to a new survey by GlobalData. Underwriting and risk profiling remain the areas most positively impacted by AI, with 45.8 per cent of industry professionals identifying them as the top beneficiaries. However, this represents a decline of nearly 10 percentage points since 2023, suggesting that insurers are increasingly applying AI in other functions. Claims management and customer service followed, with 20.3 per cent and 17.6 per cent of respondents, respectively, citing these areas as most influenced by AI. Customer service, in particular, has seen notable growth, increasing by 6.2 percentage points since the previous poll. Similarly, AI's role in product development more than tripled in recognition, rising from 1.9 per cent to 7.2 per cent. Charlie Hutcherson, Associate Insurance Analyst at GlobalData, said insurers are now broadening their AI applications beyond underwriting, despite challenges such as regulatory hurdles, data quality, and fairness in risk models. He highlighted the increasing traction AI has gained in customer service, where automation enables faster triage, more accurate responses, and higher satisfaction rates. Hutcherson also pointed out a rising impact of AI in product development, reflecting insurers' growing focus on trend analysis, identifying coverage gaps, and accelerating speed to market. He described the overall shift as a sign of a 'more mature and diversified approach,' with insurers recognising AI's transformative potential across multiple areas of their business. With rising competition, insurers face pressure to differentiate themselves by expanding AI capabilities not just in efficiency-driven processes but also in customer-facing and product innovation areas. Hutcherson stressed the need for a holistic deployment of AI, balancing efficiency gains with fairness, transparency, and regulatory compliance.' Those who can strike this balance will be best positioned to build long-term trust and value,' Hutcherson said.

DOWNLOAD THE APP

Get Started Now: Download the App

Ready to dive into a world of global content with local flavor? Download Daily8 app today from your preferred app store and start exploring.
app-storeplay-store