Nagadithya Nookala

Nagadithya Nookala

Technical Product Manager, Data Analytics & Ai Ford

Nagadithya Nookala is an accomplished Data Analytics and AI professional with a distinguished 15-year career marked by successful development and implementation of data-driven solutions. He specializes in full-stack and cloud-based Data Analytics and AI product development. His expertise encompasses a comprehensive approach, from analyzing intricate business requirements and defining clear product visions and Key Performance Indicators (KPIs) to spearheading product development cycles from initial concept through to final delivery. Nagadithya has contributed significantly in pivotal roles at leading companies such as Ford, Cognizant, TCS, Virtusa, and Dell, where he was instrumental in both developing and enhancing robust Data Analytics and Business Intelligence platforms. Beyond his direct contributions, he is deeply passionate about disseminating his knowledge in Data Analytics and AI product development within the wider community, actively dedicating himself to mentoring and guiding others in embracing a data-first methodology.

CWM Summit Day Two - October 15, 2026

3:15 PM Fireside Chat : How Ford is Using AI Agents on the Shop Floor

Manufacturers are moving from experimentation to real deployment of AI agents that support frontline decision making, automate routine analysis, and close long standing execution gaps. This fireside chat explores how AI agents are reshaping daily operations, what foundations are required to make them effective, and how leaders can ensure these systems drive measurable improvements in safety, quality, and throughput. The conversation focuses on practical lessons, scalable patterns, and the cultural and governance considerations that determine success.

• How manufacturers are moving beyond pilots to embed AI agents directly into workflows, enabling faster decisions, reducing manual analysis, and improving frontline execution.
• What it takes to create clean, contextualized, real time data streams that AI agents can trust, and how organizations are modernizing their data architecture to support scalable agentic systems.
• Human centered design principles that ensure AI agents fit naturally into existing roles, reduce cognitive load, and enhance rather than disrupt operator autonomy and confidence.
• How leaders are establishing clear boundaries, validation loops, and oversight models so AI agents can automate decisions safely while maintaining transparency and accountability.
• Patterns for expanding from a single use case to a network wide capability, including change management, cross functional alignment, and the KPIs that demonstrate real operational impact.

Check out the incredible speaker line-up to see who will be joining Nagadithya.

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