Conteúdo fornecido por Neil Batlivala and Avesh Singh. Todo o conteúdo do podcast, incluindo episódios, gráficos e descrições de podcast, é carregado e fornecido diretamente por Neil Batlivala and Avesh Singh ou por seu parceiro de plataforma de podcast. Se você acredita que alguém está usando seu trabalho protegido por direitos autorais sem sua permissão, siga o processo descrito aqui https://pt.player.fm/legal.
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Chris Nowinski is a former football player at Harvard University and professional wrestler with WWE, World Wrestling Entertainment. After enduring a career-ending head injury, Chris has dedicated his professional life to serving patients and families affected by brain trauma, particularly Chronic traumatic encephalopathy, or CTE, a progressive neurodegenerative disease that develops after repeated head injuries. Jay and Chris discuss the state of head injuries in American athletics, the difference between advocating for head safety at youth and professional levels, Chris’ newest research, and much more. Episode Chapters (00:00) Intro (00:50) changes in the culture around concussions in the past two decades (02:39) padded helmet technology (03:55) concussion reporting in the NFL (10:35) Chris’ career path and concussion history (14:52) connecting with activists who haven’t themselves suffered a traumatic brain injury (17:42) SHAAKE - a new sign to identify concussions (20:53) Unions can help players advocate for safety policies (23:10) final thoughts and goodbye For video episodes, watch on www.youtube.com/@therudermanfamilyfoundation Stay in touch: X: @JayRuderman | @RudermanFdn LinkedIn: Jay Ruderman | Ruderman Family Foundation Instagram: All About Change Podcast | Ruderman Family Foundation To learn more about the podcast, visit https://allaboutchangepodcast.com/…
Conteúdo fornecido por Neil Batlivala and Avesh Singh. Todo o conteúdo do podcast, incluindo episódios, gráficos e descrições de podcast, é carregado e fornecido diretamente por Neil Batlivala and Avesh Singh ou por seu parceiro de plataforma de podcast. Se você acredita que alguém está usando seu trabalho protegido por direitos autorais sem sua permissão, siga o processo descrito aqui https://pt.player.fm/legal.
Interviews with founders to learn the strategies and challenges of an ML/AI based business.
Conteúdo fornecido por Neil Batlivala and Avesh Singh. Todo o conteúdo do podcast, incluindo episódios, gráficos e descrições de podcast, é carregado e fornecido diretamente por Neil Batlivala and Avesh Singh ou por seu parceiro de plataforma de podcast. Se você acredita que alguém está usando seu trabalho protegido por direitos autorais sem sua permissão, siga o processo descrito aqui https://pt.player.fm/legal.
Interviews with founders to learn the strategies and challenges of an ML/AI based business.
In this episode, we dive into the challenges and solutions in applying AI to a field as meaningful and subtle as your own career. Stellares is an AI Talent Agency that uses machine learning to help top tech talent navigate their careers.
UnifyID authenticates users using implicit signals like typing speed and gait. In this episode, we learn more about this innovative use of machine learning, and explore UnifyID’s unique recruiting strategy.
Pedro compares the state of ML now to the beginning of the aviation industry; early pilots needed to know everything from the physics of flight to the engineering behind the plan and nowadays, a pilot interfaces with the entire plane through a cockpit dashboard. Ople AI is trying to be that dashboard, hiding implementation details of training to allow ML engineers to focus on higher level questions like how can the data available be used as features to solve business problems.…
NanoNets is a Machine Learning as a Service platform for developers to rapidly create/deploy models. Learn about how they do it with transfer learning, a technique that uses learnings from coarse models to bolster others. They have a product aimed at developers and give insights into where ML tech is going!…
Sales is a game of managing customer leads, pipelines, and followups. People.AI is automating the sales manager to help you close more deals backed by some unexpected yet highly reliable data sources. This interview we focus on the advantages of using high quality data sets and starting off as a consulting shop, to help build out new models that you work alongside your customers to develop!…
Learn how Adam and the team at LiftIgniter are bringing innovations from Google to the rest of the business world. Google, whose main revenue come from ads, has developed arguably the world’s most sophisticated machine learning for ad targeting. Lift Igniter is taking similar concepts and creating a bleeding edge personalization engine that ups user engagement across the board.…
Preteckt is an ingenious cross between a IoT and ML company. The company uses its own hardware sensors to determine when a customer's 16 wheeler is going to break down. In this episode, we talk about how to optimize for data growth and not revenue growth when first starting a ML company. Its the ultimate positive feedback loop of Customer -> More Data -> Better Product -> More Customers…
Kylie.ai is a service that automates customer service tickets. This is a longer than average episode as Sinan’s interview was too good to be cut down any shorter. We dive in on building models per rep, and how Sinan was able to train a model using public Twitter data so that he could have a customer solution before even stepping into a meeting! A former Data Science lecturer at Johns Hopkins University, Sinan has written a book for beginners who would like to learn Data Science. His book is practical and we highly recommend it. Check it out…
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