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Industry
Communications, Media and Information Services
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Connect. Curate. Comprehend: Unlocking Value Beyond Boundaries
TCS helps businesses unlock value by enhancing digital experiences with AI and cloud technologies, driving sustainability and seamless connectivity. Learn how.
Related Insights
Explore how TCS helped Vantage Towers build a scalable digital platform for landlords and leverage agentic AI to improve efficiency, speed, and NPS.
Customer Testimonial
16 Jun 2026
Empower telecom operators to monetize intelligent services and scale the enterprise AI ecosystem through distributed AI grids and tokenization. Learn more.
Blog
28 Sep 2026
At TM Forum DTW Ignite, TCS showed how driving AI adoption and ecosystem collaboration help CSPs turn connectivity to cognition. Explore event highlights.
Article
13 Jul 2026
Solution
Artificial Intelligence
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Building a Smarter, Connected Tomorrow with AI-first and Agentic AI
When paired with the right data, our AI-first services like agentic and custom AI drive enterprise transformation, improving productivity for a better tomorrow.
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Meet us and learn how TCS helps you leverage advanced tech like agentic and generative AI with human collaboration to build strong, lasting customer trust.
Events
13 Oct 2026
Connect with our experts at Booth P3 to discover how we help customers optimize AI investments, drive process automation, and accelerate the future of insurance.
Events
13 Oct 2026
エージェント型AIは、情報を提示するだけでなく、目的に応じて計画を立て、企業データや外部ツールを利用しながら、複数のタスクを実行できるようになりつつあります。その一方で、AIエージェントに与える権限が広がるほど、意図しない動作、情報への不適切なアクセス、責任の所在、説明可能性など、新たなリスクへの対応が重要になります。
本記事は、TCSがグローバルで公開した「Make agentic AI enterprise-ready through strong governance」をもとに、日本語版として構成したものです。エージェント型AIの本格導入に必要となるガバナンスの構成要素、技術的なガードレール、人による監督、組織体制、データガバナンス、導入時の指針について解説します。
さらに、日本企業がガバナンスの原則を実際の業務運用へ落とし込む際の参考となるよう、日本TCSのAI専門家による解説を加えました。組織内の責任分担、全社で共通利用できる統制基盤、人とAIエージェントの役割分担という3つの視点から、ガバナンスを実効性のある仕組みとして機能させる方法を考察します。
White Paper
08 Oct 2026
Integrating generative AI (GenAI) models into telecom business processes is a complex undertaking.
As communications service providers (CSPs) move from proof-of-concept projects to live deployments, it is becoming clear that constructing the right language model is the key to success.
From our experience of working with leading enterprises across industries in implementing GenAI use cases at scale, we have developed a robust framework for adopting GenAI successfully.
In this joint report, we look at the typical processes that CSPs are adopting to set up large language models, and how they intend to maintain them.
Read about:
- What is GenAI large language model (LLM)?
- Setting up telecom LLMs
- Maintenance of LLMs
- Evolving standards for AI
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