How P&G Uses AI to Understand Human Behavior

2026-04-14 · Source: OpenCV · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Computer Vision & Image Processing, Data Science & Analytics · Depth: Advanced, quick

Summary

Oya Aran, Director of R&D Data Science and AI at Procter & Gamble, will present at OSCCA, OpenCV's Official Conference on Computer Vision & AI, on May 4th in Los Angeles. Her talk will detail how computer vision and AI are applied within P&G, a major consumer goods company, to understand human behavior, generate synthetic data, and build 3D human models at scale. Aran's unique perspective stems from deploying advanced AI research in a non-traditional tech environment across multiple organizational units and product lines. The OSCCA event, part of Display Week 2026, also features speakers like Gary Bradski, Doug Fidaleo, and Glenn Jocher, and includes access to the Display Week Exhibition Hall and its AI Pavilion.

Key takeaway

For AI Scientists and Machine Learning Engineers seeking to apply advanced models beyond typical tech environments, Oya Aran's OSCCA talk offers crucial insights into deploying AI at scale within a large consumer goods company like P&G. Your team should consider the practical realities of integrating AI across diverse organizational units and product lines, focusing on human behavior understanding and synthetic data generation, rather than solely on benchmark performance.

Key insights

Applied AI in consumer goods presents unique challenges and opportunities beyond typical tech benchmarks.

Principles

• AI research can drive product scale in non-tech sectors.
• Synthetic data generation aids human behavior understanding.

Method

P&G's approach involves deploying computer vision, synthetic data generation, and 3D human modeling across diverse organizational units to achieve real product scale.

In practice

• Explore AI applications in non-traditional tech industries.
• Investigate synthetic data for behavioral insights.

Topics

• Computer Vision
• Human Behavior Understanding
• Synthetic Data Generation
• 3D Human Modeling
• Applied AI

Best for: AI Scientist, Machine Learning Engineer, Director of AI/ML

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Editorial summary, takeaway, and curation by AIssential. Original article published by OpenCV.