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What enterprises ask from their networks has changed, and the demands continue to grow.
AI has scaled. Telcos must rethink enterprise models.
AI has moved from pilots to scale. But for telcos, legacy enterprise models are now the real bottleneck to value. Telcos must redesign how they operate, make decisions, and govern value.
Frontier Telco: Navigating enterprise autonomy
Incremental AI limits progress. The Frontier Telco model introduces an enterprise framework that rearchitects telcos for intent-driven, AI-native autonomy at scale.
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Explore the enterprise data center of 2030. See how the traditional model becomes an autonomous, aware, and composable AI data center driven by sustainability.
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Agentic AI for proactive risk management in enterprise projects
Enterprises are battling artificial intelligence (AI) disillusionment and employee burnout, with many digital transformation projects failing to reach production. The solution? A multiagent AI system that predicts failure weeks in advance and recommends proactive interventions to keep projects in green.
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DeepSeek-R1, a large language model (LLM) introduced in January 2025, changed the conversation around artificial intelligence (AI) development and deployment, thanks to how it seems to achieve high performance at much lower cost than Google’s or OpenAI’s alternatives. But what does this mean for large enterprises?
Human-agent collaboration at scale: A POD-driven PCVD framework
As organizations enter the agentic AI era, product-centric value delivery (PCVD) must evolve to integrate autonomous AI agents and human expertise.
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A blueprint for banks going AI-first
FS incumbents must fight back against digital challengers by going AI-first. To do so requires reimagining what it means to be a bank in the first place.
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Seven cloud game-changers for 2025 …and what they mean for your enterprise
Dive into seven developments that could be cloud game-changers in 2025
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The telco of the future: Generative AI as a force multiplier in product strategy
Telcos are using generative AI to craft new capabilities and build out their product strategy. However, failure is certain unless they take a long, hard look at their AI-first operating model.
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Low Code, No Code: A Marked Movement for Digital Platform Development
Businesses adopt low code, no code (LCNC) to accelerate innovation, escape legacy technologies, increase IT responsiveness, and enable citizen development.
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Cloud – Enabling Enterprises’ Leap into the Future
In the age of immersive experiences and intelligent decisions, cloud has become the driver of innovation, growth, and value delivery across industries.
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An Architecture for Mature Enterprise AI
A reference architecture with layered AI development can help build future-proof, reliable, and adaptable Enterprise AI.
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Tiny AI for the Enterprise Edge
Edge AI, using 'tiny' models, is poised to advance the technology's adoption throughout the enterprise ecosystem.
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Enterprise AI: Turning Skeptics Into Evangelists
Artificial intelligence (AI) promises a lot, but enterprise-wide adoption among staff is often patchy. Lack of change management and investments in transparency, ethics, and governance holds it back. Get these elements right and you can turn employees from AI skeptics into AI evangelists.
