AI in 60s: Manuel De Juan Director at NTT Data Reflects on the Future AI Agents

· Source: LlamaIndex · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Software Development & Engineering, Emerging Technologies & Innovation · Depth: Novice, quick

Summary

Manuel De Juan, who manages Entity Data's global AI office alliances and partnerships, leads a team focused on building an ecosystem of partners to support a global AI strategy. He emphasizes that agentic AI is significantly reshaping processes across all industries and is here to stay. Entity Data is not immediately flooding the market with AI agents but is instead taking a strategic approach, investing in foundational platforms and frameworks to support future agent development for their clients. De Juan notes that agentic AI is a "game changer" for custom software development, fundamentally altering how software is developed, tested, delivered, and maintained.

Key takeaway

For Directors of AI/ML evaluating strategic technology investments, recognize that agentic AI is a fundamental shift, not a fleeting trend. Your teams should prioritize building robust foundational platforms and frameworks now to enable scalable, future-proof agent development, rather than rushing to deploy individual agents. This approach will ensure long-term competitive advantage in custom software development and process optimization.

Key insights

Agentic AI is profoundly reshaping industry processes and software development, necessitating strategic foundational investments.

Principles

Method

Entity Data is investing in platforms and frameworks to support long-term AI agent development for clients, rather than immediate market saturation.

In practice

Topics

Best for: Director of AI/ML, VP of Engineering/Data, AI Product Manager

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Editorial summary, takeaway, and curation by AIssential. Original article published by LlamaIndex.