Deepa Sarojammal, Chairperson, Reflections Entities, spoke on the importance of empathy-driven leadership in the ...
AI-Driven Growth: Building Responsible Enterprise AI
Deepa Leads Masterclass on AI-Driven Growth at Equifax PEC India
Deepa Sarojammal, Chairperson, Reflections Entities, led a masterclass on AI-Driven Growth at the Product Engineering Centre (PEC) India of Equifax on February 25. The session was organized as part of the Women Advancing Technology Together (WATT) initiative in the context of International Women’s Day, bringing together technology professionals to explore the evolving role of AI in enterprises.
During the session, Deepa shared insights on enterprise AI adoption and the importance of measuring ROI from AI initiatives, emphasizing that organizations must move beyond experimentation to building structured, value-driven AI programs. She highlighted the need for establishing clear AI policies and governance frameworks to ensure responsible and scalable adoption across the enterprise.
Deepa also discussed risk management in AI systems, drawing attention to critical challenges such as bias and data privacy, and the importance of proactively identifying and addressing these risks as AI becomes embedded in business processes.
Emphasizing the human side of technology, she spoke about the role of empathy and ethics in developing responsible AI solutions, noting that sustainable business value can only be achieved when innovation is balanced with accountability and trust.
Deepa Sarojammal, Chairperson, Reflections Entities, led a masterclass on AI-Driven Growth at the Product Engineering Centre (PEC) India of Equifax on February 25. The session was organized as part of the Women Advancing Technology Together (WATT) initiative in the context of International Women’s Day, bringing together technology professionals to explore the evolving role of AI in enterprises.
During the session, Deepa shared insights on enterprise AI adoption and the importance of measuring ROI from AI initiatives, emphasizing that organizations must move beyond experimentation to building structured, value-driven AI programs. She highlighted the need for establishing clear AI policies and governance frameworks to ensure responsible and scalable adoption across the enterprise.
Deepa also discussed risk management in AI systems, drawing attention to critical challenges such as bias and data privacy, and the importance of proactively identifying and addressing these risks as AI becomes embedded in business processes.
Emphasizing the human side of technology, she spoke about the role of empathy and ethics in developing responsible AI solutions, noting that sustainable business value can only be achieved when innovation is balanced with accountability and trust.
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