Podcast: AI Levels the Real Estate Playing Field

Episode 4 of my podcast series, The BaDFun Podcast, is now live. Moving to the entrepreneurial end of the spectrum this time, the title is “Democratizing Property Buying on a Startup Budget, with Ricardo Barrera”. Here’s the blurb:

Ricardo Barerra podcast photo

“Our guest this week is startup founder Ricardo Barrera, a former Microsoft manager and experienced data scientist who at one time was responsible for optimizing the exabyte-scale data backbone of the world’s largest technology company. Now Ricardo is trying to democratize the way that real estate is purchased by automating many aspects of the property evaluation process. His approach raises the bar on traditional real estate valuation techniques by combining typical real estate data with photography and proprietary models that reveal explainable insights about properties, thereby enabling potential purchasers to make their own educated decisions, without relying on brokers.”

“During the course of our conversation Ricardo focuses on the challenges of creating a data-first direct-to-consumer business on a startup budget, including data access and quality issues, building a minimum viable team, rapidly prototyping potential products, and how to build trust in data models.”

Please check it out and let me know what you think. And subscribe if you want to hear more.

Podcast: Data Science in Healthcare

Episode 3 of my new podcast series, The BaDFun Podcast, is now live. The title is “Embracing data science in healthcare, with Siddharth Mahapatra”. Here’s the blurb:

Siddharth Mahapatra podcast photo

“This episode features Siddharth Mahapatra, director of master data management for one of the largest healthcare systems in the US. Siddharth speaks about how healthcare providers are embracing data science, in directions like

  • capacity planning,
  • reducing waste by matching purchasing to predicted demand,
  • overcoming information hoarding, silos, and data quality issues,
  • making data accessible and trackable,
  • reconciling data sets that originate from different sources,
  • co-creating data solutions with end users to ensure adoption,
  • the importance of domain knowledge as well as data literacy in both managing and visualizing clinical data,
  • eliminating cultural biases in data capture and analysis and in patient experience,
  • and the responsibilities that accompany data ownership.”

Please check it out and let me know what you think. And subscribe if you want to hear more.

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