Being AI -first
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Infosys TechCompass
A strategic view of how technology evolves over time and the trends that drive their adoption
Responsible Enterprise AI in the Agentic Era
Companies see RAI as a critical enabler for Enterprise AI success but are playing catch-up. RAI teams must invest in agile, efficient, scalable models as Agentic AI brings complexity and uncertainty.
Enterprise AI: The board’s role in strategic governance
As AI adoption accelerates, governance must evolve to enable boards to lead and keep pace—or risk falling behind better-prepared competitors.
Tech Navigator: Second Edition – Applying agentic AI to industries
Agentic AI is transforming IT, operations, and data-driven processes, and this report highlights how Infosys applies it to solve real-world challenges across five industries.
AI use cases in CPG generate tangible business value, on par with the industry average. Yet, achieving AI success remains challenging. Learn the strategic shift needed for success.
Artificial intelligence (AI) is accelerating through transformative breakthroughs in agentic systems, multimodal processing, and frontier cognitive architectures — innovations that are reshaping the enterprise landscape as we know it.
Learn how artificial intelligence can help energy traders isolate valuable signals from digital noise.
Fiber network deployment involves complex planning, precise execution, and seamless activation to meet growing digital demands. This guide highlights essential strategies and tools to ensure scalable, efficient, and reliable fiber rollouts.
The 2025 telecom industry is at a pivotal moment, balancing flat revenues and rising costs with investments in AI, cloud, and quantum technologies. Success will depend on financial discipline, strategic technology adoption, and navigating regulatory and cybersecurity challenges.
Capital markets rely on COTS platforms for trading operations. However, rigid systems struggle with AI integration. Modular, API-driven architectures are the future. They enable agility, innovation, and adapt dynamically to changing regulations. Yet, the future is hybrid, blending COTS products with in-house AI solutions.
To succeed in the AI-powered industry, insurers must double down on AI or be left behind. Where to invest and how to realize the outcomes requires a robust AI strategy.
Ken Elliott of The Friedkin Group shares how treating data as a corporate asset and embracing responsible AI adoption are transforming automotive operations, decision-making, and business value.