Vijay Gabale

Vijay Gabale

Co-Founder and CPO

About

Vijay Gabale is the Co-founder and Chief Technology and Product Officer at Infilect Inc., a pioneering force in global retail visual intelligence. Leveraging cutting-edge Image Recognition and AI technologies, Infilect aims to revolutionize the retail landscape by addressing CPG brands' complex challenges in real-time.
 
Vijay Gabale earned his PhD from IIT Bombay, specializing in wireless platforms and AI systems. He has held critical roles in prominent global technology firms such as IBM Research, distinguishing himself as both a respected technocrat and a forward-thinking leader. Among his notable accomplishments are pioneering demonstrations of the world's inaugural voice network on Zigbee in the USA, groundbreaking contributions to Deep Neural Network architecture for multi-object detection, and his keynote address at the Heidelberg Laureate Forum in Germany, advocating for the societal advantages of AI. With over 6 patents granted and 15 research publications, he continues to drive innovation at the forefront of technology.

With a wealth of experience in product development and partnerships, complemented by deep expertise in Image Recognition Technology and Artificial Intelligence, Vijay Gabale spearheads transformative innovation for CPG brands, retailers, and global distributors and merchandising firms on a large scale.

NVIDIA CEO Jensen Huang recently emphasized that AI is entering the era of "Useful AI"—moving beyond content generation to autonomous systems that can execute tasks, make decisions, interact with enterprise systems, and generate measurable business outcomes. The challenge for most organizations is not adopting AI, but achieving ROI without creating runaway cloud, model, and implementation costs.

This workshop focuses on how to identify high-ROI agentic AI opportunities, build practical AI agents, and deploy them with strong governance and cost controls.

This workshop is tailored toward mid- to high-tier executives and managers from both technology and business teams. The goal is to understand ROI-led planning and implementation of Agentic AI systems.

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