AI-powered multi agent framework for telecom
Built on TM Forum ODA and Open APIs, this solution enables specialized agents across network, customer, and monetization to collaborate in real time via MCP. Learn more about the solution from our partners and clients.
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AI-powered multi agent framework for telecom
A Frontier Multi-AI Agent Fabric for Telecom
Watch now Built on TM Forum ODA and Open APIs, this solution enables specialized agents across network, customer, and monetization to collaborate in real time via MCP. Learn more about the solution from our partners and clients.
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Why broadcasters are rethinking the operating model
HCLTech and Globo at NAB Show 2026
Watch now At NAB 2026, HCLTech and Globo outlined how new standards, hybrid delivery and growing complexity are outpacing station-by-station operations, making centralized orchestration the next broadcast model
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How AI Is Driving Accessibility and Inclusion
HCLTech and Microsoft on inclusive technology
Watch now A leadership discussion on how AI is improving accessibility—featuring HCLTech and Microsoft on partnership, inclusive innovation, and the future of technology for people with disabilities.
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AI Force Overview Video: HCLTech’s GenAI & Agentic AI Platform
HCLTech’s GenAI & Agentic AI Platform for Enterprises
Watch now This video showcases AI Force, HCLTech’s GenAI and Agentic AI platform that enables enterprises to move beyond isolated AI use cases and drive intelligent execution across business functions.
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AI-powered enterprise-scale Mainframe Modernization
AI-powered Mainframe Modernization at scale
Watch now Modernize the systems that power your business with HCLTech and IBM's combined AI, automation and deep engineering expertise to transform mainframes at enterprise scale
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HCLTech and Zscaler: Simplifying Zero Trust for the Al era
Building resilient, AI-powered security
Watch now HCLTech and Zscaler showcase their long-standing partnership, helping enterprises accelerate Zero Trust adoption, secure AI innovation and achieve impactful business outcomes.