🌉 Bridging Bayes.Entrep with Probabilistic Computing #207
hyunjimoon
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goal of this thread
vision
My vision is to bridge bayesian entrepreneurship (BE) with probabilistic computing (PC). This presents a novel approach towards navigating the complexities of startup ventures through data-driven decision-making and strategic planning. Bayesian Entrepreneurship, drawing from the research of Scott Stern and Charlie Fine, emphasizes strategic decision-making in startups across four critical domains: Customer, Technology, Organization, and Competition, with a focus on selecting among disruptor, architectural, value chain, and IP strategies for a phase-based, learning-driven path to success. This strategic framework is complemented by Probabilistic Computing, which, based on Vikash Mansinghka's research, aims to democratize data science by enabling non-experts to generate and use sophisticated statistical models for data analysis through user-friendly tools. By integrating PC's capabilities to automatically model data and predict trends with BE's strategic insights for startups, this research envisions a data-informed platform that not only guides startups through personalized strategic decisions but also offers adaptive paths to achieve long-term success. This confluence of data science and strategic entrepreneurship could significantly enhance the decision-making processes in startups, making them more resilient and adaptable in the face of uncertainties.
action
By the end of this month, I plan to complete three:
create mockups that implement BE's conceptual tools by reconfiguring PC's implemented tools like autoGP and BayesDB.
get three BE experts who can give feedback until I pass their "desirability test"
get three PC experts who can give feedback until I pass their " technical feasibility test"
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