Private Network Awards 2025 - TeckNexus

Automation

Salesforce is moving to close the gap between slick AI demos and operational reality by stress-testing agents inside simulated business environments before they ever touch production. Salesforce introduced CRMArenaPro (a digital twin for enterprise workflows), an Agentic Benchmark for CRM (to compare agents across business-centric metrics), and new Account Matching capabilities (to unify records and clean underlying data). The Agentic Benchmark for CRM evaluates accuracy, cost, speed, trust and safety, and environmental sustainability. Stand up a sandbox that mirrors production and run agents through end-to-end scenarios with synthetic-but-realistic data. Tighten OAuth and third-party risk controls before expanding agent privileges
TELUS moved beyond experiments to enterprise adoption: 57,000 employees actively use gen AI, more than 13,000 custom AI solutions are in production, and 47 large-scale solutions have generated over $90 million in benefits to date. Time savings exceed 500,000 hours, driven by an average of roughly 40 minutes saved per AI interaction. The scale is notable: Fuel iX now processes on the order of 100 billion tokens per month, a signal that the platform is embedded in day-to-day work rather than isolated to innovation teams. TELUS designed for trust from the start: its Fuel iXpowered customer support tool achieved ISO 31700-1 Privacy by Design certification, a first for a gen AI solution.
This article explores the challenges data analysts face due to time-consuming data wrangling, hindering strategic analysis. It highlights how fragmented data, quality issues, and compliance demands contribute to this bottleneck. The solution proposed is AI-powered automation for tasks like data extraction, cleansing, and reporting, freeing analysts. Implementing AI offers benefits such as increased efficiency, improved decision-making, and reduced risk, but requires careful planning. The article concludes that embracing AI while prioritizing data security and privacy is crucial for staying competitive.
Kyndryls’ three-year, $2.25 billion plan signals an aggressive push to anchor AI-led infrastructure modernization in India’s digital economy and to scale delivery across regulated industries. The $2.25 billion commitment, anchored by the Bengaluru AI lab and tied to governance and skilling programs, should accelerate enterprise-grade AI and hybrid modernization across India. Expect more co-created reference architectures, deeper public-sector engagements, and tighter integration with network and cloud partners through 2026. For telecom and large enterprises, this is a timely opportunity to industrialize AI, modernize core platforms, and raise operational resilience provided programs are governed with clear metrics, strong security, and a pragmatic path from pilot to production.
India’s AI oversight for telecom is moving from recommendations to implementation, with policy review and technical workstreams running in parallel. The Telecom Regulatory Authority of India has issued recommendations on leveraging artificial intelligence and big data in telecom, including the creation of an independent statutory authority for AI governance. The proposed Artificial Intelligence and Data Authority of India (AIDAI) is envisioned to promote responsible AI development and regulate sectoral use cases. The Ministry of Electronics and Information Technology has initiated projects with research bodies and universities focused on how to ensure and test AI trustworthiness.
Fresh polling signals rising public concern that AI could upend employment, destabilize politics, and strain social and energy systems. A recent Reuters/Ipsos survey of 4,446 U.S. adults found that 71% worry AI will permanently displace too many workers. Seventy-seven percent of respondents fear AI will fuel political instability if hostile actors exploit the technology. The poll also shows broad worry about AIs indirect costs: 66% are concerned about AI companions displacing human relationships, and 61% are concerned about the technology’s energy footprint. Bottom line: Public concern is high, and that increases the cost of missteps.
According to telecom experts, 6G communication is expected to be path-breaking in its offerings. Artificial intelligence (AI) is being portrayed as the prime contributor to the enormous success of 6G networks. AI is set to play a pivotal role in shaping 6G to be relevant and rewarding for businesses and individuals. Several other digital technologies gel well to present 6G as the game-changing phenomenon in the communication world. One noteworthy facet is that the recent concept of semantic communication is to be elegantly realised through 6G networks. In this AI-first 6G book, we have elucidated how the predictive, generative, and agentic capabilities of AI are to make 6G communication penetrative, pervasive and persuasive too.
Boldyn Networks and Virgin Media O2 have launched the UK’s first full RAN managed 5G service at Sunderland’s Stadium of Light. Powered by JMA XRAN® and a neutral host architecture, the deployment transforms fan experience, reduces energy use by 60%, and boosts operational safety and efficiency—setting a new benchmark for smart stadiums across the UK.
The telecom sector once hailed AI as a game-changer, but is it delivering? This article explores why many operators report low ROI on AI tools, and how legacy systems, cultural resistance, and regulatory hurdles stall adoption. Despite challenges, AI shows targeted promise in predictive maintenance, fraud detection, and 5G network slicing.
Tampnet has secured a five-year contract to deliver a fully managed private 5G network with LEO satellite, LTE, and edge computing to Island Drilling’s Island Innovator rig. Operating in the North Sea, the solution ensures low-latency, AI-orchestrated data flow for safer, smarter offshore operations, enabling automation, predictive maintenance, and real-time decision-making even in extreme conditions.
AI buildouts and multi-cloud scale are stressing data center interconnect, making high-capacity, on-demand metro connectivity a priority for enterprises. Training pipelines, retrieval-augmented generation, and model distribution are shifting traffic patterns from north-south to high-volume east-west across metro clusters of data centers and cloud on-ramps. This is the backdrop for Lumen Technologies push to deliver up to 400Gbps Ethernet and IP Services in more than 70 third-party, cloud on-ramp ready facilities across 16 U.S. metro markets. The draw is operational agility: bandwidth provisioning in minutes, scaling up to 400Gbps per service, and consumption-based pricing that aligns spend with variable AI and data movement spikes.
Vodafone Idea (Vi) and IBM are launching an AI Innovation Hub to infuse AI and automation into Vis IT and operations, aiming to boost reliability, speed delivery, and improve customer experience in Indias fast-evolving 5G market. IBM Consulting will work with Vi to co-create AI solutions, digital accelerators, and automation tooling that modernize IT service delivery and streamline business processes. The initiative illustrates how AI and automation can reshape telco IT and managed services while laying groundwork for 5G-era revenue streams. Unified DevOps across OSS/BSS enables faster rollout of plans, bundles, and digital journeys.

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Telecom networks are facing unprecedented complexity with 5G, IoT, and cloud services. Traditional service assurance methods are becoming obsolete, making AI-driven, real-time analytics essential for competitive advantage. This independent industry whitepaper explores how DPUs, GPUs, and Generative AI (GenAI) are enabling predictive automation, reducing operational costs, and improving service quality....
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Private Network Awards

Recognizing excellence in 5G, LTE, CBRS, and connected industries. Nominate your project and gain industry-wide recognition.
Early Bird Deadline: Sept 5, 2025 | Final Deadline: Sept 30, 2025