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IT Leaders Fast 5: Janardhan Santhanam, Tata - News Directory 3

IT Leaders Fast 5: Janardhan Santhanam, Tata

November 22, 2025 Lisa Park Tech
News Context
At a glance
  • Here's a breakdown ‍of the key‍ takeaways from the provided text, focusing on the association's approach to AI:
  • * The organization recognizes that agentic AI (AI ​that can make decisions) is a significant change from previous low-code tools.
  • * They've ‍learned that numerous Pilots and POCs are ineffective.
Original source: informationweek.com

Here’s a breakdown ‍of the key‍ takeaways from the provided text, focusing on the association’s approach to AI:

1. Shift from⁣ Low-Code to Agentic AI:

* The organization recognizes that agentic AI (AI ​that can make decisions) is a significant change from previous low-code tools. It’s not just⁢ about automating tasks, but ⁤about AI taking initiative.

2. Path ⁢to Production (PTP) over Proof of Concept (POC):

* They’ve ‍learned that numerous Pilots and POCs are ineffective.
* They now prioritize a “Path ⁢to Production” (PTP) approach,‍ aiming for quick value ‍delivery.
* This aligns with Geoffrey Moore’s “Zone to Win” concept – committing to technologies and pushing⁣ them into production for real impact.

3.Enterprise Reimagination & AI-First ⁢Culture:

* They are moving beyond a traditional tech strategy to a broader “enterprise reimagination” strategy centered around AI.
* Hackathons are a key component for exploring and validating AI ideas.
*⁤ They understand ⁣the need to prepare data and invest in foundational work to support AI agents.

4. Talent & Mindset Shift:

* Focus on Mindset: They’re ⁤actively working to foster a mindset where employees work with AI, see‍ it as an enabler (not a threat), and have their roles recast to leverage AI’s‌ strengths.
* Investment in Training: Significant investment in AI training ‍(6,500 people‌ completed).
* Incentivizing learning: Crucially, they reward learning as much as delivery, using mechanisms like grade changes‍ and incentives. They believe ⁤in encouraging learning, not penalizing experimentation.

In essence, this organization is taking a proactive, strategic, and people-focused approach to integrating AI,⁣ moving beyond experimentation to‌ real-world implementation and focusing on building the right skills and ‍culture to succeed.

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