Big data for public good

LSE: Public lectures and events

محتوای ارائه شده توسط LSE Film and Audio Team, London School of Economics, and Political Science. تمام محتوای پادکست شامل قسمت‌ها، گرافیک‌ها و توضیحات پادکست مستقیماً توسط LSE Film and Audio Team, London School of Economics, and Political Science یا شریک پلتفرم پادکست آن‌ها آپلود و ارائه می‌شوند. اگر فکر می‌کنید شخصی بدون اجازه شما از اثر دارای حق نسخه‌برداری شما استفاده می‌کند، می‌توانید روندی که در اینجا شرح داده شده است را دنبال کنید.https://fa.player.fm/legal

The Innovators & Investors Podcast

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

16 روز پیش35:36

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35:36

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…

حدود یک سال پیش 58:38

MP3•خانه قسمت

Contributor(s): Dr Sara Geneletti, Dr Laura Gilbert, Professor Helen Margetts | Routinely collected UK government data sets contain staggering amounts of information. The potential for the use of these data to understand how government policies are changing people’s lives, to aid better decision making and to hold government accountable for the policies they make is enormous. The process is not however all plain sailing. Good, big, and representative data sets are essential, and datasets are often far from perfect with inherent biases and missing entries. Cleaning data is time consuming and labour intensive and analysis requires skilled data scientists. These issues can be overcome or at least mitigated, and in the future government policies could be based on evidence drawn from these data and tested on model populations prior to implementation.

300 قسمت

#Higher Education #Podcasting Education #LSE Film and Audio Team #London School Of Economics #Political Science