tech
April 6, 2026
Exploring Infosys' Essential Steps to AI Readiness
Rajan Padmanabhan, AVP and Unit Technology Officer for Data Analytics and AI at Infosys, highlights the importance of upskilling and data infrastructure
TL;DR
- European organizations are significantly behind US companies in AI adoption.
- Key challenges in Europe include lower IT infrastructure investment, AI talent shortages, and complex regulations.
- A comprehensive AI strategy should prioritize impactful opportunities aligned with business objectives.
- Investing in data infrastructure, responsible AI practices, workforce upskilling, and a culture of innovation is crucial for scaling AI.
- Workforce upskilling involves reimagining work processes and leveraging AI to augment human capabilities.
- Responsible AI must be established from the beginning using a responsible-by-design approach based on TEPCS principles.
- Establishing an AI Ethics Council, prioritizing data quality, and training developers in transparent AI are important steps.
- Addressing data security, privacy, and ethical concerns requires robust protection measures and compliance with regulations like the EU's.
- A 'build and learn' mindset, coupled with strong governance structures and data literacy programs, is essential for AI readiness.
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