AI Agents

AI agents are transforming industries in 2025, but scaling them efficiently without Large Language Models (LLMs) is impossible. LLMs provide critical capabilities such as reasoning, knowledge retrieval, and contextual understanding that power AI automation. This detailed article explores why LLMs are essential for AI agents, the role of Retrieval-Augmented Generation (RAG), optimization strategies, and the best free resources to master LLMs.
NTT DATA has introduced Smart AI Agent™, an AI-powered automation tool designed to accelerate Generative AI adoption and enhance workforce efficiency across industries. With applications in automotive, finance, and manufacturing, the AI agent streamlines workflows and enables businesses to scale AI-driven operations. Targeting $2 billion in revenue by 2027, NTT DATA is positioning itself as a leader in enterprise AI adoption, offering secure, scalable, and intelligent automation solutions to address global workforce challenges.
Artificial Intelligence (AI) took center stage at Davos 2025, influencing discussions on governance, AI agents, and China’s growing AI presence. As we approach MWC 2025 in March, AI is expected to dominate key sessions on AI-driven telecom innovations, security risks, and business applications. With major players like Salesforce, Nvidia, and emerging Chinese startups shaping the landscape, AI’s expanding role in industries and global policies is more critical than ever.
SK Telecom is set to launch the beta service of its AI agent, Aster, in North America starting March 2025. Announced at CES 2025, Aster redefines personal assistants with generative AI technology for proactive life management, handling tasks like planning, reminders, and bookings. The service integrates with Perplexity’s conversational AI to offer a seamless, task-oriented user experience. SK Telecom plans to expand Aster’s capabilities and global reach by 2026, solidifying its position in AI and telecommunications innovation.

Award Category: Private Network Excellence in Generative AI Integration

Winner: Southern California Edison (SCE) & NVIDIA


Southern California Edison (SCE), in collaboration with NVIDIA, has been honored with the TeckNexus 2024 Award for "Excellence in Private Network AI and Generative AI Integration" for their transformative work in modernizing network operations through advanced AI and predictive analytics. Their initiative, Project Orca, exemplifies the power of AI-driven innovation, enhancing predictive capabilities, operational efficiency, and the reliability of critical infrastructure. This collaboration highlights how SCE and NVIDIA’s AI solutions redefine network operations, elevating performance and setting new standards for AI integration in private networks.
AI agents are transforming customer service, making interactions faster and more efficient while addressing consumer demand for transparency and trust. This shift, highlighted in recent Salesforce research, shows growing consumer preference for AI-powered support for routine inquiries and fast resolutions. As businesses integrate AI agents, they benefit from reduced costs, consistency across channels, and enhanced data-driven personalization, especially in retail and service industries. Trust and transparency remain key, as consumers seek clear indicators when interacting with AI, with a preference for escalation options to human representatives.
Huawei presents its AI-centric F5.5G network and "FOUR NEW" strategy, aiming to transform telecom networks through AI and fiber optics. Key initiatives include advanced broadband monetization, autonomous network operations, and AI-driven home ecosystems, creating new revenue channels and supporting digital intelligence services in the telecom industry.
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Airports are deploying AI surveillance, biometrics, and autonomous vehicles faster than most networks can secure them. See what 100 real-world airport deployments reveal about the airside/landside security gap — and the 4-layer framework built to close it....
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