Podcasts about applied predictive technologies

Zoey Tang sits down with Sarah Hinkfuss and Saanya Ojha from Bain Capital Ventures. At BCV, Sarah and Saanya partner with growth-stage founders building the next generation of software products, with a particular focus in Fintech. Before joining Bain Capital, Sarah started her investing career on the growth team at KKR. She previously worked at Applied Predictive Technologies, an enterprise SaaS company in the predictive analytics space that was acquired by Mastercard in 2015. Saanya is a proud Wharton alum. After starting her career at Goldman Sachs, she joined Coatue in 2019 and then Bain Capital Ventures. In today's episode, we got to know about Sarah and Saanya's stories and their views on the impact of Generative AI on Financial Services. -- As always, for more Fintech insights and opportunities to collaborate, please find us below: WFT LinkedIn: www.linkedin.com/company/wharton-fintech-club/ WFT Twitter: twitter.com/whartonfintech WFT Blog: medium.com/wharton-fintech WFT Home: www.whartonfintech.org Zoey's LinkedIn: https://www.linkedin.com/in/zoeytang1007/ About Bain Capital Ventures Bain Capital Ventures is the venture arm of Bain Capital, one of the world's renowned private investment groups with $165B AUM. BCV is currently investing out of fund ten ($1.9BN) with a wide mandate, writing checks starting from $1M and up to $100M.

Paul Monasterio co-founded Kalepa in 2018 with the mission to help commercial insurance underwriters bind business with confidence. Kalepa's AI-powered Copilot software enables underwriters to focus their time on the highest ROI opportunities and to quickly evaluate and optimally select risk. Paul talks about finding the balance between underwriters saying yes to everything versus saying no to everything, to focus their time on selecting exactly the right opportunities that bring profitability and reduce claims risk. The first decision an underwriter has to make is where to use their time - so Copilot helps triage opportunities based on their attractiveness and alignment to the strategic book priorities.  Paul also discusses technology tools and changes applicable to commercial insurance, focusing on the right opportunities and understanding risk exposures in the right context. He sees that underwriters need to be better armed to address the complexity and nature of claims and new lines. He does not see a world in which there are fewer underwriters, or less work to do. instead, he sees winning carriers and MGAs as those who understand where to use technology to augment their underwriters' skills and not fall into the trap of thinking tech will drive personnel cost savings. Kalepa is backed by IA Ventures, Inspired Capital, and leaders in technology and financial services. Kalepa was recognized as one of the most innovative insurtechs in the world as part of FinTech Global Insurtech 100 in 2022 and 2023, one of Benzinga's Best Insurtechs in 2021, and as a Cool Vendor by Gartner in 2020. Prior to founding Kalepa, Paul was an executive at Facebook/Meta, Mastercard, and Applied Predictive Technologies, developing novel applications of data and technology to solve the most critical problems of Global 1000 firms in insurance, banking, and the public sector in the US, Europe, Asia, and Australia. Paul also founded Forg, a microfinance organization fostering micro-entrepreneurship in South East Asia. Paul graduated with a PhD in Nuclear Science and Engineering at MIT and holds Bachelors degrees with Highest Honors and Highest Distinction in Mathematics and Nuclear Engineering from the University of California, Berkeley. Follow the Insurtech Leadership Podcast airing weekly hosted by Joshua R. Hollander. We give you up-close access and personal insights from the leaders of the fastest-growing #insurtechs and most innovative #insurance carriers and brokers.

On this episode, hosts Adam and Chris speak with Ed Hallen, who is the co-founder of Klaviyo, a leading customer data and marketing automation platform. Klaviyo has raised over $670M in funding, and reached coveted unicorn status in 2020. Ed is also the co-founder of Team Engine, a text-first HR and Operations platform for industrial SMB's. Prior to Klaviyo and Team Engine, Ed held roles at Applied Predictive Technologies, Google and Accel-KKR, and received his MBA from MIT Sloan School of Management. Check out more about what we're up to at Range.vc Connect with Adam and Chris and the Range VC team on LinkedInSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Key takeaways: Focusing on solving the right problem, not the most difficult Define the “north” star Seeing the most impactful project Positioning the need to deal with the “plumbing” before you seeing the reporting Meet: Mike Ganz is a leader in the data space, currently serving as Senior Director of Data & Analytics at Optoro. There he focuses his time on differentiating Optoro's products through data and ensuring that the most difficult returns problems retailers and the environment face today are met with dynamic and robust data solutions. Prior to joining Optoro, Mike worked as an Engagement Manager at Applied Predictive Technologies, which was later acquired by Mastercard. In that role he helped Fortune 500 companies across a variety of industries design, implement, and measure the impact of business experiments. Mike holds a BSE in Systems Science & Engineering from the University of Pennsylvania. If you have any questions for Mike, please feel free to reach out via: https://www.linkedin.com/in/mike-ganz-23989955/ I hope you enjoyed the episode, the best place to connect with me is on Linkedin - https://www.linkedin.com/in/amirbormand (Amir Bormand). Please send me a message if you would like me to cover certain topics with future guests.

Implementing truly data driven email marketing in your ecommerce business is no easy task...until now. Ed Hallen helps ecommerce companies easily implement data driven email marketing that actually works through his platform, Klaviyo. He is co-founder of Klaviyo, an ecommerce-focused email service provider that provides you with better email through data-drive personalization and targeting. From powerful A/B testing to automatic analysis of conversions, Klaviyo helps you maximize the impact of your email on key metrics. He received his MBA from MIT, worked at Google, and led product management for Applied Predictive Technologies where he the guided product and technology vision for a team of 15 engineers and consultants. Ed has used those experiences to create one of the most robust email service providers for ecommerce businesses, one that we recommended to all of our clients. In today's episode Ed helps us understand all components in data driven email marketing. Key Takeaways from the Show How you can market like Amazon in a one to one way. Crafting your message to a customer from day 1 to day 365. The 3 pillars of successful ecommerce email marketing. Which email campaigns you should start with and how to do it.       Links / Resources Klayvio.com Ed Hallen on Twitter   Subscribe & Review To get more awesome Ecommerce Influence content sent directly to your device and into your ears as they become available, you can easily subscribe by clicking here. Also, ratings and reviews on iTunes (hopefully 5-stars!) help us tremendously a we’re very grateful for them. We do read all of the reviews and we’ll answer your questions or comments on future episodes. Cheers, Austin & Chad!   Follow on Twitter: Follow @chadvanags Follow @a_brawn

Jim Manzi is the founder and chairman of Applied Predictive Technologies, a software company that enables businesses to design and conduct large-scale experiments, and a senior fellow at the Manhattan Institute. In this conversation, Kristol and Manzi discuss how scientific trial-and-error might help us develop better business and policy practices. The two also reflect on the limits of science in politics and offer a modest defense of social science experimentation for policy making.

Jim Manzi is the founder and chairman of Applied Predictive Technologies, a software company that enables businesses to design and conduct large-scale experiments, and a senior fellow at the Manhattan Institute. In this conversation, Kristol and Manzi discuss how scientific trial-and-error might help us develop better business and policy practices. The two also reflect on the limits of science in politics and offer a modest defense of social science experimentation for policy making.

Jim Manzi is the founder and chairman of Applied Predictive Technologies, a software company that enables businesses to design and conduct large-scale experiments, and a senior fellow at the Manhattan Institute. In this conversation, Kristol and Manzi discuss how scientific trial-and-error might help us develop better business and policy practices. The two also reflect on the limits of science in politics and offer a modest defense of social science experimentation for policy making.

Jim Manzi, founder and chair of Applied Predictive Technologies, senior fellow at the Manhattan Institute, and author of Uncontrolled, talks with EconTalk host Russ Roberts about the Oregon Medicaid study and the challenges of interpreting experimental results. Manzi notes a number of interesting aspects of the study results that have generally been unnoticed--the relatively high proportion of people in the Oregon study who turned down the chance to receive Medicaid benefits, and the increase (though insignificant) in smoking by those who received Medicaid benefits under the experiment. Along the way, Manzi discusses general issues of statistical significance, and how we might learn more about the effects of Medicaid in the future.

Jim Manzi, founder and chair of Applied Predictive Technologies, senior fellow at the Manhattan Institute, and author of Uncontrolled, talks with EconTalk host Russ Roberts about the Oregon Medicaid study and the challenges of interpreting experimental results. Manzi notes a number of interesting aspects of the study results that have generally been unnoticed--the relatively high proportion of people in the Oregon study who turned down the chance to receive Medicaid benefits, and the increase (though insignificant) in smoking by those who received Medicaid benefits under the experiment. Along the way, Manzi discusses general issues of statistical significance, and how we might learn more about the effects of Medicaid in the future.

Jim Manzi, founder and chair of Applied Predictive Technologies, senior fellow at the Manhattan Institute, and author of Uncontrolled, talks with EconTalk host Russ Roberts about the Oregon Medicaid study and the challenges of interpreting experimental results. Manzi notes a number of interesting aspects of the study results that have generally been unnoticed--the relatively high proportion of people in the Oregon study who turned down the chance to receive Medicaid benefits, and the increase (though insignificant) in smoking by those who received Medicaid benefits under the experiment. Along the way, Manzi discusses general issues of statistical significance, and how we might learn more about the effects of Medicaid in the future.

Jim Manzi, founder and chair of Applied Predictive Technologies, senior fellow at the Manhattan Institute, and author of Uncontrolled, talks with EconTalk host Russ Roberts about the Oregon Medicaid study and the challenges of interpreting experimental results. Manzi notes a number of interesting aspects of the study results that have generally been unnoticed--the relatively high proportion of people in the Oregon study who turned down the chance to receive Medicaid benefits, and the increase (though insignificant) in smoking by those who received Medicaid benefits under the experiment. Along the way, Manzi discusses general issues of statistical significance, and how we might learn more about the effects of Medicaid in the future.

May 22, 2012: Jim Manzi, a senior fellow at the Manhattan Institute, founder and chairman of Applied Predictive Technologies, and contributor to National Review Online, joins Martha Montelongo, Ben Boychuk, and John Seiler to discuss his new book, Uncontrolled. In particular, we focus on Manzi’s policy prescriptions for education, immigration, and welfare. How much government […]