Mining Your Own Business Podcast

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Sep 2024

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The Mining Your Own Business podcast explores how AI, machine learning, and data mining are employed to drive effective business decisions through conversation, stories, and humor. Host Evan Wimpey chats with data leaders from across industries to learn how their data gets from bits in storage to actionable insights on the ground. The show is inspired by, and the namesake of, the illuminating book Mining You Own Business, which has guided executives in their understanding and employing of analytics for the past 5 years. Join Evan and his guests as they seek to uncover how data science teams are solving complex problems and getting tangible solutions implemented within their organization.

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35 recent

September 25, 2024Episode 825 min

Brewing Solutions: Analytics at Milo’s Tea with Derek Camp

In this podcast episode, we sit down for a chat with Derek Camp from Milo’s Tea Company. Derek is the Senior Manager of Operational Analytics at Milo's Tea. Tune in as he shares his journey at Milo's, where he's grown from a replenishment analyst to leading a team of analysts across logistics, supply chain, operations, and quality. Derek discusses how his team leverages data to drive efficiencies and improve decision-making. He also offers valuable insights on the practical applications of operations analytics, team collaboration, and overcoming challenges in scaling data efforts across multiple production sites.In this episode you will learn: ⛛ How Derek's team uses analytics across logistics, supply chain, and production to drive operational improvements.⛛ The value of cross-functional collaboration with subject matter experts for deeper problem-solving.⛛ How Derek's team has scaled analytics efforts over time.⛛ The importance of managing relationships with stakeholders and addressing pushback on analytics-driven suggestions. Quote💬 “If our team is doing these three things, we're doing our job really well: reporting, automating, and generating actionable insights.”Featured in This EpisodeDerek Camp, Senior Manager of Operational Analytics, Milo's TeaDerek Camp is the Senior Manager of Operational Analytics at Milo’s Tea Company, bringing over a decade of experience in supply chain, sales, logistics, replenishment, and quality assurance analytics. Throughout his career at Milo's, he has held several key roles, including Supply Chain Analytics Manager and Senior Operations Analyst, playing an integral role in optimizing operational efficiency. Based in Birmingham, Alabama, Derek is a data-driven leader, passionate about leveraging analytics to drive business outcomes. A speaker at multiple conferences, Derek is always open to sharing his insights on operational analytics and supply chain optimization.LinkedIn: linkedin.com/in/derek-campEvan Wimpey, Director of Analytics Strategy | Elder ResearchCompany website: elderresearch.comLinkedIn: linkedin.com/in/evan-wimpeyChapters00:00 Intro to Milo’s Tea and Derek’s role in analytics01:27 How data supports supply chain at Milo’s05:41 The importance of communicating across teams07:52 How to deal with pushback on data analysis 10:07 Evolution of data analytics at Milo’s Tea13:19 The team composition at Milo’s Tea15:59 Qualities Derek looks for in new team members20:41 Derek’s dream project for the future23:51 Wrapping up the showFind more show notes, transcripts, & more episodes at: https://www.elderresearch.com/resource/podcasts/

August 28, 2024Episode 728 min

Betting on AI: Industry Insights with Frazier Seay-Rad

In this episode of the Mining Your Own Business podcast, we’re joined by Frazier Seay-Rad, a leader in AI and machine learning within the sports betting and casino industry. Frazier dives into how AI is transforming everything from enhancing customer experiences to driving revenue growth. Tune in as Frazier and host Evan Wimpey chat about practical applications of AI, the challenges of balancing innovation with regulation, and the crucial role of data privacy. Whether you’re curious about AI’s impact on your business or looking to understand the ethical considerations, we hope this episode provides you with some great food for thought.In this episode you will learn: ⛛ The importance of combining creative thinking with data-driven strategies⛛ Why a focus on ethical AI is so important for long-term success and customer trust⛛ How drawing from practices in different industries can provide fresh perspectives⛛ Why the ability to quickly adapt to technological advancements and industry shifts is key to staying relevant and successful Quote💬 “… as an organization, you can be first, you can be best, or you can be different, but you can’t be any of those things if you’re always playing catch up to somebody else.”Featured in This Episode Frazier Seay-Rad , AI & ML Leader, Sports Betting & Casino IndustryFrazier Seay-Rad is a leader in AI, machine learning, and data science with a passion for turning complex data into impactful business solutions. She builds and leads teams that translate massive amounts of data into actionable insights. Her expertise spans AI, data science, data engineering, and analytics, with experience in audit and agile methodologies. Frazier has led cross-functional projects across strategy, marketing, finance, product, compliance, and operations. This diverse background enables her to ask the right questions, make data-driven decisions, and help businesses navigate the future of AI with confidence.LinkedIn: https://www.linkedin.com/in/sfsr/ Evan Wimpey, Director of Analytics Strategy | Elder ResearchCompany website: elderresearch.comLinkedIn: linkedin.com/in/evan-wimpeyChapters00:00 Introduction to Frazier Seay-Rad01:10 Frazier's journey into the field04:02 Parallels in the fields of auditing and data science07:59 Effective communication for analytics and business teams10:52 Aiming for simplicity in data-driven business solutions13:48 Valuable traits for team members19:54 Analytics and the legal landscape in sports betting 23:05 Ideas for the future27:37 Wrapping up the showFind more show notes, transcripts, & more episodes at: https://www.elderresearch.com/resource/podcasts/

July 24, 2024Episode 629 min

Data-Driven Hospitality at Marriott with John Cook

In this episode of Mining Your Own Business, John Cook shares his unconventional journey to leading a data science team at one of the world’s largest hospitality companies. As Senior Director of Data Science and Reporting at Marriott International, John guides a talented team supporting U.S. and Canada sales, marketing, and revenue management for Marriott.Tune in as John shares insights into the intricacies of revenue management, the importance of clear data communication, and how understanding different business aspects helps with problem-solving. You won’t want to miss this engaging conversation with our host Evan Wimpey. In this episode you will learn: ⛛ Why technical aptitude and business understanding go hand in hand⛛ The importance of communication and storytelling with data⛛ Why immediate business needs must be balanced with long-term, scalable solutions⛛ How understanding different parts of a business can help with problem-solving Quote💬 “Where we really get action and where we really get good results from data is when people are able to understand it and then use it to do something.”Featured in This Episode John Cook, Senior Director of Data Science & Reporting, U.S. &. Canada SMR | Marriott InternationalJohn Cook is the Senior Director of Data Science and Reporting at Marriott International, where he leads a talented team of associates dedicated to supporting the U.S. and Canada sales, marketing, and revenue management teams, along with their sister analytics teams. Over the years, he’s gained experience across different regions and functions, eventually transitioning into his current leadership position. John has a Master of Data Analytics from the University of Maryland Global Campus. He’s also the founder of Penguin Analytics, where he focuses on bridging the gap between “data people” and “business people” by coaching business leaders in data literacy, and data scientists in business literacy.LinkedIn: linkedin.com/in/johnalexandercookEvan Wimpey, Director of Analytics Strategy | Elder ResearchCompany website: elderresearch.comLinkedIn: linkedin.com/in/evan-wimpeyChapters00:00 Introduction03:08 John talks about revenue management05:18 Balancing experience in revenue management with roles in sales and marketing07:48 Reporting within data science, including standardized and storytelling aspects.15:23 The importance of hiring team members with both technical skills and enthusiasm for problem-solving20:12 John shares how his team uses machine learning 22:27 John shares how his background in music helps with communicating data effectively26:48 John talks about ideas for the future29:52 Wrapping up the showFind more show notes, transcripts, & more episodes at: https://www.elderresearch.com/resource/podcasts/

May 8, 2024Episode 526 min

Bringing Data Innovation to a 150-Year-Old Industry

In this episode of Mining Your Own Business, Data Scientist Xhoana Laska shares how she and her team are bringing data innovation to the field of industrial paint and coatings, an industry that became prominent in the late 1800s.With her background in mathematics and statistics, Xhoana’s knack for numbers has come in handy in her role at National Coatings & Supplies | Single Source, Inc. She has spearheaded projects to save thousands of labor hours, optimize inventory processes, improve demand forecasting, and more. Join us as our podcast host, Evan Wimpey, chats with Xhoana about interesting projects she’s worked on and insight she’s gained along the way!In this episode you will learn:⛛ The importance of identifying areas where data analysis can drive significant efficiency improvements⛛ Why effective communication is crucial for stakeholder buy-in⛛ The need to prioritize projects based on business-critical needs⛛ The importance of creating a culture of learning that empowers employeesQuote💬 “I enjoy working on problems that involve bringing solutions that can potentially save money or optimize and be efficient at the end of the day.”Featured in This EpisodeXhoana Laska, Data Scientist, National Coatings & Supplies | Single Source, Inc. From process optimization to demand forecasting, Xhoana Laska enjoys creating data-driven solutions for complex business problems. And that’s at the heart of her work as a data scientist for National Coatings & Supplies | Single Source, Inc. (NCS SSI). With over three years of experience in the field, Xhoana has a knack for numbers and strong background in mathematics. She specializes in business process automation and statistical and machine learning modeling for procurement, sales, and marketing. She’s also a proud member of the Wolfpack at NC State University, where she received her Master of Statistics degree. LinkedIn: linkedin.com/in/xhoana-laskaEvan Wimpey, Director of Analytics Strategy, Elder ResearchCompany website: elderresearch.comLinkedIn: linkedin.com/in/evan-wimpeyChapters00:00 Introduction00:50 Xhoana shares her journey into the field of data science.01:56 Evan shifts the conversation to discuss Xhoana’s first project at NCS SSI.06:31 Evan discusses the importance of stakeholder involvement in the project.07:27 Xhoana explains the support provided by the IT team for data quality and accessibility.10:08 Evan and Xhoana discuss data quality and tools used at NCS SSI.13:41 The discussion shifts to the process of prioritizing projects at NCS SSI.22:17 Evan invites Xhoana to share her ideas for future data science projects.25:33 Evan wraps up the conversation with Xhoana.Find more show notes, transcripts, & more episodes at: https://www.elderresearch.com/resource/podcasts/

April 3, 2024Episode 427 min

Blueprint for Impact: Data Products at Lowe’s Home Improvement with Sravan V.

Explore the dynamic world of retail data analytics with Sravan Vadigepalli, Senior Director of Products and Engineering at Lowe’s. In this episode you’ll learn about the unique analytics challenges and opportunities in the home improvement space and how Lowe’s approaches product development. During the chat Sravan also shares his thoughts on the future of data-driven innovation in retail. Grab some coffee and join host Evan Wimpey as he delves into the intersection of technology and customer-centric solutions. We hope you enjoy the conversation!In this episode you will learn: ⛛ The importance of recognizing and adapting to the diverse needs of customers⛛ Why data initiatives should be aligned with broader business objectives⛛ How Sravan’s team uses a unique framework to streamline decision-making processes⛛ The need for a balance between building internal tools and leveraging external solutionsQuote💬 “For data folks like us, you need to get into the weeds of the business.”Featured in This EpisodeSravan Vadigepalli, Senior Director of Products and Engineering, Lowe’sSravan Vadigepalli has spent the past decade building and curating data analytics teams in the retail industry. He specializes in translating data into insights and applications of Machine Learning/AI models to the ever-evolving retail space. Sravan did his MS in MIS from Oklahoma State University and an MBA from the University of Illinois Urbana-Champaign. Outside of work, Sravan is a self-proclaimed long-distance endurance runner. LinkedIn: linkedin.com/in/sravanvadigepalli/ Evan Wimpey, Director of Analytics Strategy, Elder ResearchCompany website: elderresearch.comLinkedIn: linkedin.com/in/evan-wimpeyChapters00:00 Introduction of the podcast and the guest, Sravan Vadigepalli.00:45 Sravan Vadigepalli shares his background and career path.02:53 Discussion on the differences in data challenges between various retail sectors.8:24 Discussion on the process of developing data products and analytic products.12:52 Explanation of the prioritization process for projects.15:49 Discussion on the frameworks used for project prioritization.19:31 Conversation shifts to evaluating internal versus external solutions for product development.22:17 Sravan shares some ideas for the future.25:10 Evan wraps up the show.Find more show notes, transcripts, & more episodes at: https://www.elderresearch.com/resource/podcasts/

March 20, 2024Episode 330 min

Debate: One Metric to Rule Them All? AUC for Classification Models

When considering evaluation metrics for classification models, is it possible for one metric to rule them all? Join us for a lively debate between Aric LaBarr, Associate Professor of Analytics at NC State's Institute for Advanced Analytics, and Robert Robison, Elder Research Senior Data Scientist. During the debate Robert champions AUC’s comprehensive measure of model performance, while Aric advocates for a broader perspective, emphasizing the importance of business context in metric selection. Tune in as host Evan Wimpey moderates the discussion, and gain valuable insight on what really matters when it comes to machine learning model evaluation. We hope you enjoy the conversation! In this episode you will learn: ⛛ The importance of exploring various metrics to evaluate model performance ⛛ Why metrics should align with business objectives ⛛ The need for data science teams to invest time in feature engineering ⛛ Why a model's success relies not only on its performance but also on stakeholders' ability to understand and trust the insights it provides Quotes💬 “There's a difference between communicating the value of a model and distinguishing between which models are better.” –Robert Robison💬 “If you can't explain the model to your stakeholders or business users, then it's not going to get implemented.” –Aric LaBarrFeatured in This EpisodeAric LaBarr | Associate Professor of Analytics, Institute for Advanced AnalyticsLinkedIn: https://www.linkedin.com/in/ariclabarr/ Robert Robison | Senior Data Scientist, Elder ResearchLinkedIn: https://www.linkedin.com/in/robert-robison/Evan Wimpey, Director of Analytics Strategy, Elder ResearchLinkedIn: linkedin.com/in/evan-wimpeyChapters00:00 Evan introduces the debate topic and guests, Aric LaBarr and Robert Robison. 01:37 Robert begins his argument by defining AUC (Area Under the Curve) and its significance as a metric for classification models.06:11 Aric begins his rebuttal, challenging the notion that AUC is the only metric to consider.09:26 Robert provides a rebuttal to Aric's points.11:48 Aric starts his rebuttal, focusing on communicating models to business users. 14:41 Robert responds to Aric’s points. 16:18 Evan asks Robert if certain cases may require metrics other than AUC. 17:03 Robert responds to Evan’s question. 17:53 Aric weighs in on the question. 19:37 Evan asks Aric if focusing solely on AUC may save time and costs. 20:30 Aric responds to Evan’s question. 22:20 Evan gives time for the debaters to ask each other questions. 25:30 The debaters share closing remarks, summarizing their positions.29:14 Evan wraps up the show.Find more show notes, transcripts, & more episodes at: https://www.elderresearch.com/resource/podcasts/

March 6, 2024Episode 229 min

Guarding the Future: Data Science-Powered Security at Microsoft with Nirmal B.

In this episode Evan Wimpey sits down to chat with Nirmal Budhathoki. A seasoned data scientist at Microsoft, Nirmal has extensive experience in both cybersecurity and the tech industry. During the conversation Nirmal discusses his unique career journey, from unexpected detours, including serving in the Army, to becoming a data scientist. He also talks about applications of machine learning in cloud security, emphasizing the need for proactive defense strategies. Additionally, Nirmal offers advice for aspiring data scientists and highlights the ongoing advancements in the field. In this episode you will learn: ⛛ How individuals from diverse experiences can excel in data science⛛ The importance of proactive defense strategies in cybersecurity⛛ The need for community engagement and mentorship in the field of data science⛛ How Large Language Models (LLMs) can be used to enhance cybersecurity measuresQuote💬 “Security is never a compromise.”Featured in This EpisodeNirmal Budhathoki, Senior Data Scientist, MicrosoftNirmal Budhathoki is a Senior Data Scientist at Microsoft focused on cloud security. He has over 12 years of experience in the IT industry, including more than 5 years in data science. A dedicated learner, Nirmal holds master's degrees in information systems, business administration, and data science. He enjoys sharing his knowledge with others and has provided hundreds of free mentoring sessions to aspiring data scientists. He also conducts mentored learning for MIT’s Data Science and Machine Learning certification program in collaboration with Great Learning. Nirmal also has experience working with the military—both as a security data analyst and through serving four years in the Army. He’s also passionate about solving data science problems aligned with product strategy and business outcomes. And in his free time, he enjoys applying his skills to sports analytics.LinkedIn: https://www.linkedin.com/in/nirmal-budhathoki/ Evan Wimpey, Director of Analytics Strategy, Elder ResearchCompany website: elderresearch.comLinkedIn: linkedin.com/in/evan-wimpeyChapters00:00 Evan introduces the show and Nirmal Budhathoki.01:01 Nirmal talks about his unconventional path into data science.04:48 Nirmal shares how data science supports security and mentions specific use cases.11:00 Discussion on proactive approaches in security and the role of machine learning.14:40 Nirmal emphasizes the need for a proactive defense strategy in cybersecurity.15:11 Discussion about the use of large language models (LLMs) in Microsoft's work.21:05 Nirmal talks about his active involvement in the community.22:27 Nirmal reflects on the positive impact of mentoring.24:24 Evan asks Nirmal about his ideas for the future.28:17 Evan wraps up the show.Find more show notes, transcripts, & more episodes at: https://www.elderresearch.com/resource/podcasts/

February 21, 2024Episode 132 min

No Code—No Problem: Breaking Silos and Empowering Teams with Bill Shube

Kicking off Season 3 of Mining Your Own Business, Evan Wimpey sits down to chat with Bill Shube. A supply chain analytics expert with over 11 years at the LEGO Group, Bill is also the founder of Supply Chain Watchtower. Through his company Bill’s goal is helping small businesses effectively manage their inventory.Grab a chair and tune in as he shares his story. Bill talks about how his team has successfully leveraged citizen development to gain actionable insights from data, saving thousands of hours and much more. Plus he shares how citizen development can impact on data tasks, governance, and scalability within an organization. In this episode you will learn: ⛛ How citizen development can be used to empower business teams to play a more active role in data analytics ⛛ The need for governance initiatives to manage potential risk and ensure citizen developers stick to best practices⛛ How no-code and low-code tools can complement existing systems, boosting collaboration rather than creating silos ⛛ Why a mindset change is crucial for all teams to be empowered to make the most of data Quote💬 “That's what citizen development is about; it's empowering the average user.”Featured in This EpisodeBill Shube, Founder, Supply Chain WatchtowerBill Shube, founder of Supply Chain Watchtower (SCW), has over 11 years of experience in supply chain management and analytics at The LEGO Group, where he and his team have saved thousands of hours and spotted millions of dollars worth of planning errors through analytics automation. His goal in founding SCW is to bring these big-business experiences and techniques to small and growing businesses, helping them understand their demand and supply. This empowers businesses to right-size inventories, avoid stock-outs and overages, and ultimately improve cash flow and profitability.LinkedIn: https://www.linkedin.com/in/bill-shube/ Evan Wimpey, Director of Analytics Strategy, Elder ResearchCompany website: elderresearch.comLinkedIn: linkedin.com/in/evan-wimpeyChapters00:00 Introduction00:35 Talking about Bill’s experience with the LEGO Group and his company, Supply Chain Watchtower 01:48 Discussing Bill’s work in the supply chain02:26 Sharing the team’s evolution to citizen developers05:10 Talking about the challenges of siloed data06:31 Breaking down what citizen development is and its benefits08:52 Discussing how citizen development is implemented 12:28 Sharing the need for data governance 13:22 Talking about putting good practices in place14:55 Discussing how user communities can foster collaboration 16:17 The importance of being on the same page22:05 How citizen development can impact multiple areas of a business25:06 Discussing how Bill’s team is using data tools to support daily operations27:54 Talking about Bill’s dreams for the future30:33 Wrapping up the showFind more show notes, transcripts, & more episodes at: https://www.elderresearch.com/resource/podcasts/

December 6, 2023Episode 932 min

Computer Vision and Pickleball: Game-Changing AI Insights

In this episode Evan Wimpey chats with Mike Arney, founder of PB Vision, a company helping pickleball players gain game-changing insights. Tune in as he shares how his company got started and how his team is applying AI, machine learning, and computer vision in new ways. Mike also shares why it’s important to value the thoughts and ideas of end users and how that collaboration makes a difference. Whether your team is embarking on a new analytics project or seeking data-driven inspiration for existing ones, we hope this episode will be insightful! In this episode you will learn: 🔹 How analytics can be applied in diverse ways and lead to innovative solutions 🔹 The importance of considering end users with any project🔹 How asking for feedback from end users can help refine an analytic tool🔹 The need for balancing technical optimization with maintaining a positive user experienceQuotes💬 “I [saw] the amazing things [AI was] doing and said, ‘How can I actually get my toes in the water and understand how this works from a functional perspective?”💬 “Here's a problem that we can solve. What would a possible solution look like? … Let's do a little bit of research. Let's experiment.”💬 “Some people are super passionate about certain things and their voice can be pretty loud. It's great to have that passion, but you have to be very careful that does not drown out the silence or the quiet majority.”Featured in This EpisodeMike Arney, Founder, PB VisionMike Arney is the founder of PB Vision, a company combining the power of AI, machine learning, and computer vision to transform video analysis in pickleball. With his background as a UI/UX designer and his love for pickleball, Mike embarked on a journey to transform the game with AI. Through PB Vision, Mike’s team is providing insights and data-driven coaching to help pickleball players improve their performance. The platform leverages analytics to offer an in-depth level of game analysis, enhancing both training and overall playing experience. LinkedIn: https://www.linkedin.com/in/mikearney/ Evan Wimpey, Director of Analytics Strategy, Elder ResearchCompany website: elderresearch.comLinkedIn: linkedin.com/in/evan-wimpeyChapters00:00 Introduction01:04 Talking about the focus of PB Vision 02:35 Sharing the story behind the launch of PB Vision04:57 Vetting the solution and delving into computer vision07:54 Discussing the different ways to approach a challenge 10:54 Talking about the downside of being locked into a solution 12:00 Sharing the importance of building technical skills12:30 Discussing why UI/UX can’t be an afterthought15:28 Evaluating user feedback18:35 Inviting the pickleball community and developers to the table19:47 Delving into the need for user buy-in 22:46 Looking to the future of PB Vision30:31 Wrapping up the showFind more show notes, transcripts, & more episodes at: https://www.elderresearch.com/resource/podcasts/

November 1, 2023Episode 833 min

Deploying Machine Learning for Real Results with Eric Siegel

In this episode of Mining Your Own Business, Evan Wimpey chats with Eric Siegel, bestselling author and founder of Machine Learning Week. Tune in as he shares why businesses need to focus on machine learning projects that work in the real world. Eric also dives into the importance of measuring the impact of machine learning projects, the need for business professionals to understand the technology, and the potential challenges associated with overhyped AI expectations. In this episode you will learn: 🔹 The importance of deploying machine learning models in real-world business operations to capture value🔹 Why metrics are key to getting the most out of machine learning projects and impacting business decisions🔹 The importance of a structured end-to-end practice that enables business stakeholders to collaborate closely with data scientists🔹 Why tools like generative AI need to be assessed by how they are helping organizations capture real value Quotes💬 “Measuring the value is just as fundamental as developing the model. And it goes hand in hand.”💬 “Measuring the value is just as fundamental as developing the model. And it goes hand in hand.”💬 “We're trying to improve business operations. We're trying to provide actual business value by implementing change.”Featured in This EpisodeEric Siegel, Bestselling Author & Machine Learning Week FounderEric Siegel, Ph.D. is a consultant, former Columbia University professor, and founder of Machine Learning Week. He’s also an instructor for the “Machine Learning Leadership and Practice” course, executive editor of The Machine Learning Times, and a sought-after keynote speaker. Eric authored the bestselling book “Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die” widely used in university courses. His latest book, “The AI Playbook,” is now available at bizml.com. Eric’s interdisciplinary work bridges the stubborn technology/business gap. At Columbia, he won the Distinguished Faculty award teaching graduate computer science courses in ML and AI. Later, he served as a business school professor at UVA Darden. Eric has appeared on numerous media channels, including Bloomberg, National Geographic, and NPR, and has published in Newsweek, HBR, SciAm blog, WaPo, WSJ, and more.LinkedIn: linkedin.com/in/predictiveanalyticsEvan Wimpey, Director of Analytics Strategy, Elder ResearchCompany website: elderresearch.comLinkedIn: linkedin.com/in/evan-wimpeyChapters00:00 Introduction01:02 Diving into analytics use case examples 05:56 Measuring the effectiveness of analytics efforts 06:49 Discussing Eric’s new book and using metrics to drive decisions11:37 Talking about best practices around end-to-end processes 14:13 Discussing the need for useful ML models and change management 16:26 Exploring the need for stakeholders and data professionals to understand each other18:28 Talking about the Machine Learning Week conference22:58 Delving into Eric’s predictions for future advancements and generative AI27:24 Chatting about Eric’s dream analytics project and current projects32:00 Wrapping up the showFind more show notes, transcripts, & more episodes at: https://www.elderresearch.com/resource/podcasts/

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