AI-Driven Data Inference Pipelines for Scalable Data Center Site Selection

Past event

Data center site selection is becoming a large-scale infrastructure intelligence problem. In this webinar, José Ignacio Galindo, Co-Founder and CEO of Waterplan, joins Angeles Clutterbuck to discuss how Waterplan started with AI inference pipelines for global water risk intelligence and adapted that architecture for data center site selection workflows. The session will explore what AI inference pipelines are, how they differ from generalized AI assistants, and why they are critical for operational decision-making. Speakers will also discuss how Waterplan consolidates fragmented information into scalable decision workflows, while ensuring validated sources, global coverage, quality assurance, and reliable outputs. 

Jose Ignacio Galindo

Co-founder & CEO

Jose Galindo is cofounder and CEO of Waterplan. Born in Ushuaia, he developed an early commitment to protecting nature. With 10+ years in tech entrepreneurship, he holds a master’s in software engineering and is an alum of Y Combinator and Stanford GSB. He previously co-founded Herolens (acquired by Innovid) and served as CSO of Wolox (acquired by Accenture), and is active in global entrepreneurial organizations.

Angeles Clutterbuck

Strategic Partnership

Angie Clutterbuck is a Strategic Partnership Specialist at Waterplan, where she partners with companies to turn complex water and climate data into clear, actionable decisions. She works closely with site, infrastructure, and sustainability teams to design practical solutions that support real-world development and operational needs.

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