2.2 Visualization of graphs by organized clustering : application to social and biological networks (Nathalie Villa-Vialaneix)

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BMW iVentures: AI, Robotics, and Onshoring Trends with Sam Huang 35:36

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In the latest episode of The Innovators & Investors Podcast, host Kristian Marquez sits down with Sam Huang, Principal at BMW iVentures, for a candid conversation to explore the dynamic intersection of venture capital, artificial intelligence, robotics, and manufacturing innovation. Sam shares BMW iVentures’ investment thesis, focusing on Series A and B startups across the US, Europe, and Israel, with a strong emphasis on AI-driven SaaS, automation, and onshoring trends driven by labor shortages and supply chain disruptions. Listeners gain valuable perspectives on the evolving venture diligence process, the importance of product-market fit, and how higher ARR benchmarks reflect both market maturity and macroeconomic factors like rising interest rates. Sam also candidly discusses his unconventional career path—from a Stanford history PhD program to law school and ultimately venture capital—highlighting how diverse experiences enhance investment acumen. The conversation delves into the benefits of corporate venture capital, especially BMW’s hands-on support and networking advantages for portfolio companies. Additionally, Sam reveals how AI is integrated internally at BMW iVentures to optimize workflow and decision-making. This episode is a must-listen for anyone interested in the future of innovation, investment strategy, and the transformative impact of AI and robotics on global industries. Learn more about Sam's work at https://www.bmwiventures.com/ and her involvement with the Asian Tech Collective at https://www.asiantechcollective.com/ Connect with Sam on LinkedIn at https://www.linkedin.com/in/samantha-huang-10375b106/ Think you'd be a great guest on the show? Apply at https://finstratmgmt.com/innovators-investors-podcast/ Want to learn more about Kristian Marquez's work? Check out his website at https://finstratmgmt.com…

StatLearn 2010 - Workshop on "Challenging problems in Statistical Learning"
2.2 Visualization of graphs by organized clustering : application to social and biological networks (Nathalie Villa-Vialaneix)

לפני 11 שנים 57:11

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A growing number of applicative fields generate data that are pairwise relations between the objects under study instead of attributes associated to every object : social networks (relations between persons), biology (interactions between genes, proteins), www (relations between websites or blogs), marketing (relations between customers and services). To help understanding and interpreting such data, specific data analysis tools have been extended from the classical multivariate data analysis : visualization, clustering, classification This talk deals with an exploratory methodology : a common way to help understanding a graph is to cluster its vertices into relevant groups and then to represent the (simplified) graph of clusters. As will be explained, these two objectives (clustering and representation) can be somehow contradictory. Two approaches related to self-organizing maps will be presented and compared on real-world data to solve this issue. This is a joint work with Fabrice Rossi (LTCI, Télécom ParisTech).

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#Éducation #Universite Paris 1 Pantheon-Sorbonne #Vidéo #Enseignement Supérieur