IT provider Tata Consultancy Services (TCS) teamed with Anthropic to accelerate enterprise AI adoption, with a focus on highly regulated sectors where accuracy, auditability and governance requirements have historically slowed deployments.

As a Global Premier Partner in the Claude Partner Network, TCS will establish a dedicated business unit focused on delivering industry services and AI expertise built on Anthropic’s Claude family of models, with early access to new releases.

It will also provide Anthropic’s Claude AI assistant to more than 50,000 employees across engineering, finance, legal, marketing, and sales.

The two companies will jointly go to market with AI capabilities across financial services, public services, life sciences, healthcare, aviation, telecom, and medtech.

The partnership also spans several TCS businesses and platforms. Diligenta, TCS’s UK-based life and pensions business with over 22 million customers, will use Claude to improve customer experience through agentic process transformation.

TCS iON, which conducts more than 75 million annual assessments across 1,500 cities in India, will deliver learning and certification programmes on Claude models to help build an AI-certified workforce.

K Krithivasan, CEO and managing director of TCS, stated enterprise AI value comes from understanding business context, orchestrating complex systems and applying deep AI engineering talent.

“By combining Claude with our industry expertise, engineering rigour and large-scale transformation capabilities, we will help customers move faster to production, especially in industries where trust, resilience and regulatory discipline are critical,” he said.

The partnership comes as Anthropic, now valued at $965 billion, looks to extend the momentum which has pushed its valuation above rival OpenAI, with both startups moving towards public listings.

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GSMA warned 810 million women in low- and middle-income countries (LMICs) still do not use mobile internet, flagging slow progress in closing the digital gender gap.

In its latest Mobile Gender Gap Report 2026, the industry association found that in comparison, 595 million men in the same markets are not connected to mobile internet. Indeed, women in LMICs were 12% less likely than men to use mobile internet, leaving 200 million fewer women online.

Smartphone ownership remains a major barrier, as women in LMICs are 13% less likely than men to own a smartphone, equivalent to around 210 million fewer female owners.

The report found awareness of mobile internet is high and almost equal among men and women, but adoption continues to be held back by handset affordability, literacy and digital skills gaps. Even after women are connected, usage remains restricted due to safety and security concerns, data affordability and poor connectivity.

GSMA explained women are disproportionately affected due to social norms and structural inequalities, including lower education and income.

The report found the divide most acute in Sub-Saharan Africa and South Asia, where mobile internet adoption stands at 26% and 25% respectively. The regions together also account for more than two-thirds of the 810 million unconnected women.

Women in rural areas continue to face a sharper divide, with the report stating the gender gap is typically two to three times wider outside urban areas. The disparity is particularly pronounced in Sub-Saharan Africa, South Asia, the Middle East and North Africa.

Looking ahead, the industry association estimated closing the mobile internet adoption gap in LMICs between 2023 and 2030 could add $1.3 trillion to GDP. Meanwhile, narrowing the wider mobile ownership and usage gap could generate $230 billion in additional revenue for the mobile industry.

It called for coordinated action on handset and data affordability, digital skills, safety, services designed for women and wider structural inequalities.

Claire Sibthorpe, head of digital inclusion at GSMA, said “much more is needed to address the persistent and significant gender gaps in mobile internet adoption and use”. She warned AI and other emerging technologies are “creating greater digital divides and inequities”, making digital inclusion increasingly urgent.

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Standards body ETSI proclaimed European digital identity infrastructure as being on the brink of a major transformation due to the release of its first specifications for a regional virtual ID set-up.

ETSI stated 450 million European Union (EU) citizens stand to benefit from the standards for the European Digital Identity Wallet programme, an initiative ultimately intended to act as identity verification and a means of securely sharing a variety of details about a person and their qualifications.

There are more than 24 specifications in ETSI’s first release for the programme and the body stated its technical groups would work on more over the next 18 months.

“Our goal is to make digital interactions across Europe as easy and trustworthy as possible,” Nick Pope, chair of ETSI’s Electronic Signatures and trust infrastructures committee said.

He explained ETSI has a “long expertise in electronic signatures, cybersecurity and trust data management”.

ETSI explained the EU is working to simplify access to online services by enabling single sign-on in place of multiple passwords. People will be able to “store and manage official digital documents, share verified information such as diplomas or licenses and sign documents with legally binding electronic signatures”.

As such, it’s initial batch of standards cover attestation profiles, policies for certification and so-called “trust list formats”.

Protocols for remote signatures, proving identity and data storage are also included.

The EU hopes the digital wallet system will simplify access to government services, healthcare, banking, travel and education.

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Global logistics player LX Pantos made a major move around robotics, tasking LG’s consulting unit with helping to research the potential around using humanoid and shuttle variants.

LG CNS is to work with LX Pantos on an automation system to incorporate the two types of robots into the specialist’s Megawise Cheongna Logistics Centre, a fulfilment facility in South Korea spanning 142,852 square metres

The facility is one of 380 logistics hubs LX Pantos operates globally. Shuttle robots are to be used to retrieve items which humanoid versions would then sort and dispatch.

Robots are to be trained using LX Pantos’ field data through a proprietary learning platform. The machines themselves are being sourced from US specialist Dexmate, a company which LG CNS previously invested in.

Park Sang-kyun, EVP and head of Telecommunications, Distribution and Service Business division at LG CNS, said the companies would look to “verify the applicability of various robots”, learning and “operation platforms to logistics sites”.

The company explained the Dexmate mobile shuttle robot has a velocity of 1.5 metres per second and can handle goods weighing up to 1,500kg.

LG CNS and LX Pantos intend to establish a demonstration zone to showcase the potential of their robotics collaboration later this year, pitching possible benefits including a reduction in repetitive tasks at the logistics facility.

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Ericsson unveiled a software subscription designed to bring telco-grade AI models directly into basebands and radios to enable operators to boost 5G performance, automation and energy efficiency without adding new hardware.

According to the vendor, the software uses AI models designed to operate in real time within the RAN, supported by continuous learning and agentic AI capabilities for more advanced network operations. The company stated its telco-grade models are built for ultra-low latency inference, with a focus on reliability across diverse RAN environments.

The service works with Ericsson 5G Advanced across purpose-built and Cloud RAN platforms. Ericsson stated the software uses its silicon in radios and the latest generation of RAN compute to employ “the right AI model in the right part of the radio network”, while its AI capabilities can also be deployed across partner platforms.

The first features are now available, with more to follow later in the year. Initial functions include AI-powered scheduler for link adaptation, beamforming and multi-layer coordination.

Ericsson claimed the technology has been deployed in more than 15 trials worldwide, delivering up to 20% higher downlink throughput and up to 10% better spectral efficiency, alongside support for up to twice as many high-traffic users. It also said AI in RAN could achieve up to 95% coverage prediction accuracy.

Marten Lerner, head of networks strategy and product management at Ericsson, said the company is “redefining what’s possible in mobile networks by bringing powerful AI capabilities to service providers”, adding “we are taking a major step toward AI-native networks”.

Further comments from Ericsson partners SoftBank, Bell, SK Telecom and Rogers focused on the software’s potential benefits around real-time optimisation, network performance, energy savings, automation and support for emerging AI-driven services.

Joe Madden, principal analyst at Mobile Experts, added: “With a software upgrade, operators can squeeze more capacity, better observability, and more accurate location-based services out of the 5G network they bought years ago.”

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Nokia positioned the forthcoming addition of an agentic AI framework into its network services platform (NSP) as giving operators the ability to adopt agents using trusted data within secure boundaries.

The vendor stated the move would provide the means for customers to introduce AI operations for IP networks, with agents able to take guided, explainable actions based on real network data.

Commercial availability of the functionality is expected by the end of the year.

Nokia’s NSP is its management and automation platform for multi-vendor IP networks. It asserted the addition of the AI framework supports communication with external agents and would aid operators on their routes towards employing fully automated networks.

The company explained “while AI has the potential to transform network operations, many operators have remained cautious due to concerns around explainability, trust and risk in production environments”.

Its approach to ease these concerns is by “embedding agentic AI capabilities directly into the platform that already serves as the authoritative controller for IP networks”.

The vendor announced the first agent able to use the framework is a troubleshooting bot designed to help operators identify the root causes of problems faster and resolve complex issues.

Nokia VP and general manager for IP network automation software Sasa Nijemcevic said the move would “have a major impact on the way operators manage their networks, and will enable them to enhance their operations significantly and accelerate their journey toward autonomous networks with focus on solving real operational problems”.

“This is an incremental, pragmatic step toward AI‑native networks,” he added.

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AT&T unveiled a 24-hour unlimited wireless data service for iPad users in the US, available to any customer regardless of their existing operator for a flat daily rate of $3.

The company claimed to be the first major US wireless provider to offer on-demand connectivity for iPad users on a pay-as-you-go basis. The service is for models with mobile and Wi-Fi connectivity capabilities, with the 24-hour data window beginning shortly after purchase.

AT&T explained it is targeting consumers who do not activate mobile connectivity on compatible iPads, pitching the benefit of short-term network access for periods where users are not in Wi-Fi range.

It highlighted ease of use, stating the service is activated in device settings without the need for a dedicated app.

The first day pass is complimentary, with subsequent purchases charged to a credit or debit card.

Josh Goodell, VP of consumer product management, said the goal is to make connectivity simple across the devices people use most.

The operator positioned the launch as part of a broader effort to simplify connectivity and provide flexible options without long-term commitments.

Model compatibility ranges from seventh-generation iPads to the latest Pro and Air models with M3 chips.

AT&T ultimately plans to expand the service to other 5G-enabled devices including Android tablets, smartwatches, laptops and drones.

Multi-day options are also planned.

AT&T noted data rates may be temporarily reduced during periods of network congestion.

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AI platform disruptions rose sharply in early 2026 as growing enterprise adoption and heavier workloads exposed reliability issues across the full infrastructure stack, according to research from Ookla.

Analysing 471 days of US Downdetector data from 1 January 2025 to 16 April 2026 across ChatGPT, Claude, Gemini, Microsoft Copilot, AWS and Microsoft Azure, Ookla recorded 3.7 million user-reported problems.

High-signal disruption days, defined as when a service recorded more than 10 times its own median daily report volume, rose from six across four major AI apps in Q1 2025 to 51 in Q1 2026, according to the report by Ookla analyst Luke Kehoe.

Anthropic’s Claude model accounted for 39 of those 51 disruption days, making it the clearest example of scale-up volatility in the period. Gemini accounted for seven, Copilot three and ChatGPT two.

Claude recorded near-zero Downdetector reports in early 2025 before moving into a sustained report baseline from mid-July as adoption grew.

In Q1 2026, Claude generated 314,996 reports, while March volume alone was nearly three times February’s level. Ookla noted the pattern cannot be attributed to a single outage, with disruption clustered around demand surges, model-release windows and platform instability as Claude Code and Cowork usage scaled rapidly.

OpenAI’s ChatGPT produced the largest individual disruption signals in absolute terms, including roughly 68,000 reports on 2 December 2025, but its underlying reliability trend has improved.

Its monthly median daily report volume fell from a peak of 2,157 in April 2025 to 1,166 in April 2026, even as OpenAI reported more than 900 million weekly active users and rapid growth in Codex usage.

Google’s Gemini and Microsoft’s Copilot showed smaller but distinct patterns. Gemini’s high-signal disruption days rose from zero in Q1 2025 to seven in Q1 2026, consistent with rapid user growth.

Copilot’s outage pattern reflected its position inside Microsoft’s broader enterprise range, with far fewer reports on weekends, reflecting enterprise-aligned use.

Cloud infrastructure also featured prominently in the reliability picture. AWS’s 20 October 2025 DynamoDB DNS event generated more than 315,000 US reports, while Microsoft’s Azure Front Door incident on 29 October produced nearly 96,000, illustrating how failures in cloud control planes can cascade into AI platform disruptions.

Ookla concluded AI reliability has moved well beyond model serving, with failure points now spanning feature gates, GPU fleets, developer APIs, login systems and demand-management policies, all of which can appear to the end user as a single outage.

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UK operator Virgin Media O2 (VMO2) and Mavenir completed a proof-of-concept trial of technology designed to improve call clarity for customers suffering hearing issues without having to make changes on their phone.

Unlike device-based accessibility features or third-party apps, the service works entirely within the operator’s network. This allows participants to make and receive calls without needing to change their device or how they use it.

In the test participants completed a short, automated hearing test to identify how they perceive different sound frequencies. Personalised hearing profiles were then generated and securely linked to their mobile numbers, enabling the network to adapt how speech is delivered to them during calls in real time.

Following the trial, nearly 90% of participants reported improvements in call clarity, with many noting reduced listening effort, fewer misunderstandings and a more natural calling experience.

Jorge Ribeiro, director of core networks at Virgin Media O2, stated the trial was about using intelligence within the network to improve the experience without asking customers to do anything differently.

“We are encouraged by the early results from this proof-of-concept and are excited to explore how this type of technology could support more accessible services for our customers in future,” he said.

While still at an early stage, O2 said it is encouraged by the results and is exploring how the technology could be developed further to support accessible services at scale.

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Managed services provider MetTel completed a rapid network capacity upgrade for the US General Services Administration (GSA), equipping 11 federal offices across the country with connectivity infrastructure to support the Trump administration’s return-to-office mandate.

The project, delivered under the GSA’s Enterprise Infrastructure Solutions contract, involved the installation of 22 high-capacity network circuits alongside SD-WAN technology and VoIP services, enabling hundreds of federal employees to return to fully connected work locations.

Among the most demanding elements was a 10-gigabit circuit requiring entirely new carrier infrastructure, which was completed in under 60 days to meet the expedited timeline of a Telecommunications Service Priority order.

Don Parente, vice president of public sector at MetTel, said the mandate created an urgent, real-world test of the company’s capabilities.

“Our operations team delivered fast, reliable network modernisation, meeting the Administration’s Executive Order to return to work,” he said.

The SD-WAN architecture, which MetTel had previously deployed for the GSA, was a key enabler of the fast turnaround. The technology provides intelligent traffic management, enhanced resiliency and centralised network visibility, while high-capacity circuits were tailored to the specific needs of each site.

Bandwidth was sized for future growth, building in capacity to support evolving workforce and digital requirements without requiring additional infrastructure overhauls.

The Enterprise Infrastructure Solutions (EIS) programme under which the work was delivered, is a 15-year, $50 billion government-wide vehicle designed to help federal agencies modernise their telecommunications and network infrastructure.

US-based MetTel has held EIS contract authority since January 2020, delivering network modernisation, managed services and communications transformation projects throughout that period.

The upgrade underscores the broader infrastructure pressures facing federal agencies as the return-to-office push accelerates demand for reliable, high-capacity government networks.

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