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Insight Isn’t Enough: Engineering Trust in the Age of AI Analytics

About the Session

Pratik Mahajan, Sr. Data Analyst at JP Morgan, brings a data analytics perspective to the evolving role of AI in enterprise decision-making. His session focuses on the foundations required to build greater trust in AI analytics, particularly as organizations move from experimentation toward production-ready systems and increasingly rely on AI-driven operational decisions.

In his session, “Insight Isn’t Enough: Engineering Trust in the Age of AI Analytics,” Pratik Mahajan explores how organizations can build trusted AI analytics systems through strong data quality, governance, explainability, and validation. The session looks at integrating human oversight into AI and automation workflows, scaling AI from experimentation to reliable production systems, and creating transparent and accountable AI adoption that delivers measurable business outcomes across asset-intensive industries.

Key Topics

01 Building trusted AI analytics through data quality and governance
02 Explainability, data lineage, and AI validation
03 Human oversight in AI and automation workflows
04 Scaling AI from experimentation to production
05 Transparent and accountable AI adoption
06 Delivering measurable business outcomes

For more on this conference or to access the session, reach out to us at info@ptnevents.com.

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