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Robert Seltzer
Strategy Consultant and Venture Partner
Robert Seltzer is a seasoned Strategy Consultant and Venture Partner based in the San Francisco Bay Area, with over 30 years of experience in the technology sector. He currently serves as an advisor at UnifabriX, where he focuses on providing consultancy to silicon hardware companies, particularly in data security and fintech. His role also involves participating in initiatives related to the Abraham Accords and advising stealth mode AI ventures, alongside his work in sustainability consulting and venture capital in the UAE.1
Professional Experience
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UnifabriX: Advisor, providing strategic insights to technology companies.
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Robert Seltzer Strategic Advisor: Since March 2023, he has been advising on market research and strategy within the datacenter and cloud service provider segments.
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Silicon Catalyst: As a Strategy Advisor since July 2020, he has been involved with early-stage semiconductor companies, focusing on AI, photonics, and memory technologies.
Education
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MBA in Finance from Santa Clara University, Levy School of Business.
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Bachelor of Science in Mathematics/Computer Science from the University of Washington.
Additional Information
Seltzer holds several certifications in cloud computing and data analytics, showcasing his commitment to continuous learning in the rapidly evolving tech landscape.1
Highlights
I am taking a step back from social media, including LinkedIn, as I find it more of a distraction than a guide towards my life and professional goals. I believe that disconnecting for a while will help me focus better. Rest assured, those who need to reach me can still do so through other channels. #takingabreak #focusonpriorities
Many AI projects overlook the importance of defining clear metrics and KPIs for assessing data quality, leading to suboptimal model performance, increased costs, and delayed project timelines. Without standardized metrics, quantifying data quality, tracking improvements, and identifying areas needing attention become challenging. This ambiguity often forces reliance on subjective judgments, hindering objective assessments by data scientists and project managers. #DataQuality #Metrics #AI #DataScience #data #bias #algorithms #predictions #nvidia #intel #amd #aws #azure #google #semicondutors, #Microsoft, #Generative AI, #security #ethics
