Data Science With Sam

In this episode, Sam Dey interviews Sharmeen, founder of Lyyvora, a platform revolutionizing AI-driven healthcare financing for independent clinics, particularly women-owned practices. They discuss the challenges these clinics face in accessing capital, the innovative human-centered approach Lyyvora employs to streamline the lending process, and the importance of leveraging real data over traditional credit scores. Shermin emphasizes the interconnected challenges in funding, the need for education about diverse lending options, and the commitment to data security. The conversation concludes with a forward-looking perspective on the role of AI in simplifying healthcare financing. Guest: Sharmeen Aqeel, Founder of Lyyvora Sharmeen can be reached at: https://www.instagram.com/lyyvora/ https://www.tiktok.com/@sharmeen_lyyvora https://www.linkedin.com/in/sharmeen-aqeel/ https://www.youtube.com/@Lyyvora

Can a machine create art? Should it? And if it does, who owns it? In this episode, I sit down with Andres—creative technologist, founder of Red Mage, and advocate for equitable AI—to tackle one of the most controversial conversations in tech right now: AI's role in creative industries. What we discuss: ✅ How generative AI has transformed creativity in just two years ✅ The copyright battleground: Should AI companies compensate artists? ✅ Authenticity vs. automation: Does the creative process matter? ✅ What AI fundamentally CANNOT replicate about human creativity ✅ The displacement reality: Are creative professionals being replaced? ✅ AI as collaborator vs. competition: Success stories and cautionary tales ✅ Democratization or devaluation? The debate over accessible creative tools ✅ Maintaining quality when the internet is flooded with AI content ✅ Ethical concerns beyond copyright: deepfakes, cultural appropriation, environmental costs ✅ The future landscape: Will "human-made" labels matter in 2029? 📌 If this conversation resonates with you, please like, subscribe, and share. Let me know in the comments: Are you optimistic or concerned about AI in creative industries? 🔗 Connect with Andres: LinkedIn: https://www.linkedin.com/in/andres-sepulveda-morales/ Contra: https://contra.com/andersthemagi/work?r=andersthemagi Sessionize: https://sessionize.com/andersthemagi/ 🔗 Connect with me: DataScienceWithSam on YouTube LinkedIn: https://www.linkedin.com/in/soumava-dey-441294ab/

Can AI revolutionize cancer treatment? Dr. Sriman Swarup, a practicing oncologist and data scientist at OncoNexus, joins us to discuss where AI is making real impact in oncology today—and where it's falling short. We explore data quality challenges, building trust with patients and physicians, and the path to true precision medicine. Dr. Swarup shares his vision for AI-driven cancer care and why AI should augment doctors, not replace them. About Our Guest: Dr. Sriman Swarup Dr. Sriman Swarup is a practicing oncologist and data scientist at OncoNexus, working at the intersection of clinical medicine and artificial intelligence. He focuses on responsible AI deployment in healthcare, with expertise in data quality, bias mitigation, and human-centered design. Connect with Dr. Sriman Swarup: LinkedIn: https://www.linkedin.com/in/srimanswarup Medium: https://medium.com/@srimanswarup Substack Newsletter: https://srimanswarup.substack.com Website: https://www.drswarup.info MedPage Today: https://www.medpagetoday.com/opinion/second-opinions/117936?trw=no Subscribe & Follow: If you enjoyed this conversation, please subscribe and share with anyone interested in healthcare AI and precision medicine. #AIinHealthcare #Oncology #PrecisionMedicine #HealthTech #DataScience #CancerCare #MedicalAI

In this episode of DataScienceWithSam, host Sam sits down with Egbavwa Pela, CEO of InsightsRx.ai, to explore how artificial intelligence is transforming the marketing landscape. We dive deep into Egbavwa's journey from traditional media and marketing into the AI space, discussing the revolutionary impact AI is having on campaign effectiveness, audience segmentation, and content creation. Our conversation covers practical insights on implementation challenges, best practices for AI adoption, and the evolving skill sets marketing professionals need to stay competitive. Key Topics Covered: The pivotal moments that drive marketing professionals toward AI Top three ways AI is revolutionizing marketing campaigns Which marketing functions benefit most from AI integration Balancing automation with authentic human connection Common mistakes in early AI adoption and how to avoid them Future-proofing marketing careers in the age of AI Emerging technologies and 2-3 year market predictions Practical advice for both seasoned professionals and newcomers Whether you're a marketing professional exploring AI integration, a data scientist working with marketing teams, or someone considering a career pivot, this episode provides actionable insights from someone at the forefront of AI-powered marketing transformation. Connect with Egbavwa: https://www.linkedin.com/in/egbavwepela/ Resources mentioned in this episode: https://insightsrx.ai/

Join host Sam as he explores how generative AI is reshaping data science with Claire Longo, a seasoned data scientist and AI researcher. From the shift from feature engineering to prompt engineering, to the evolution of data cleaning and the importance of statistical thinking in the age of LLMs, Claire shares practical insights for navigating this rapidly changing field. Key Topics: How generative AI is transforming data scientist roles The shift from traditional models to LLMs and what it means for practitioners Why prompt engineering is becoming crucial for data scientists The future of explainability vs. auditability in AI systems Essential skills for aspiring data scientists in the generative AI era Claire also discusses exciting future breakthroughs, including world models in AI development, and shares advice for building resilience and adaptability in this evolving landscape. Guest: Claire Longo - Data Scientist & AI Researcher Connect with Claire: Personal Website: https://statisticianinstilettos.com/ YouTube Channel: https://www.youtube.com/@StatisticianInStilettos #DataScience #GenerativeAI #MachineLearning #LLM #PromptEngineering #StatisticalThinking

In this episode, we sit down with Joya Scarlata, Director of Digital Marketing at Interra Information Technologies (InterraIT), where she has been leading transformative B2B marketing initiatives for nearly 12 years. Joya brings a unique perspective to AI in marketing, combining her background in International Relations with deep expertise in data-driven marketing strategies. What We Cover: ✨ Joya's AI awakening moment and how her perspective has evolved 📈 How AI is revolutionizing audience segmentation and content personalization 🛠️ Game-changing AI tools that are transforming daily marketing operations 📊 Measuring ROI in AI-enhanced campaigns with specific KPIs ⚖️ Navigating data ethics and content authenticity challenges 🚀 Joya's vision for the ultimate AI marketing agent About Our Guest: 🎯 Director of Digital Marketing at InterraIT with 12 years of B2B marketing leadership 🎤 TEDx Speaker and recognized among the "101 Women in AI Marketing" 🎧 Co-host of "The Marketer's Guide to the AI Galaxy" podcast 📊 Champion of accessible, ethical, and data-driven AI adoption in marketing 🌟 Passionate mentor for the next generation of marketers 🔗 Strategic storytelling expert specializing in AI-powered personalization

In this thought-provoking episode, we explore the critical intersection of AI governance, ethics, and representation with leaders from the Asian Women Advancing AI (AWAAI). Our guests break down the fundamentals of AI governance, explaining why proper oversight is essential in our rapidly evolving tech landscape. We dive deep into the challenge of creating fair and unbiased AI systems, examining how diverse perspectives are crucial for identifying and preventing algorithmic bias. The conversation tackles the perceived tension between innovation and ethics, revealing why responsible AI development actually leads to better, more robust systems. We also explore the unique challenges facing Asian women in AI leadership and research, discussing the founding vision of AWAAI and why identity-affirming spaces are essential for building truly inclusive technology. From cultural expectations to workplace dynamics, we examine the systemic barriers that keep underrepresented voices out of AI decision-making roles and what needs to change. This episode offers valuable insights for tech professionals, policy makers, students, and anyone interested in ensuring that artificial intelligence serves everyone, not just those who look like the people building it. Whether you're new to AI ethics or deeply involved in tech development, you'll come away with a clearer understanding of why diverse voices aren't just nice to have—they're essential for building AI that works for our interconnected, multicultural world. Key Topics Covered: What AI governance means and why it matters now Strategies for identifying and preventing algorithmic bias The false dilemma between innovation speed and ethical development Unique challenges facing Asian women in tech leadership Building inclusive AI development practices The importance of representation in shaping AI's future Perfect for: Tech professionals, diversity advocates, policy makers, students, and anyone curious about the human side of artificial intelligence. Connect with the Asian Women Advancing AI (AWAAI) on LinkedIn: https://www.linkedin.com/groups/14554058/

Most companies are getting AI transformation spectacularly wrong. In this eye-opening episode, we sit down with data and AI thought leader Nan Li to uncover why adoption—not technology—remains the #1 barrier to AI success. Forget the buzzwords and empty promises. This is a no-nonsense conversation about what actually works in AI transformation. Nan challenges the conventional wisdom, revealing why starting with "Can we build it?" is the wrong question and sharing the practical framework that successful organizations use instead. What You'll Learn: Why the "tech-first" approach is killing AI initiatives What "AI-ready data" actually looks like in messy business reality The 4 levels of AI literacy every organization needs to understand How to balance innovation speed with responsible AI practices The "WOULD WE?" framework for building winning business cases Practical build vs. buy decision-making strategies Whether you're a C-suite executive, middle manager, or frontline worker, this episode delivers actionable insights for navigating AI transformation successfully. No hype, just proven strategies from someone who's been in the trenches. Perfect for: Business leaders, data professionals, AI practitioners, and anyone responsible for driving digital transformation in their organization.

In this episode, the guest breaks down the fundamentals of AI agents in an accessible way for non-technical audiences. From understanding what makes AI agents different from traditional AI systems to exploring their potential future applications, this episode offers a comprehensive introduction to this cutting-edge technology.

AI has evolved from being just a buzzword to becoming an integral part of our workplace wellness programs. But with great power comes great responsibility, and that's exactly what was unpacked in this episode. This episode features an esteemed guest from the healthcare sector who shared her perspectives on how AI has become influential in determining optimized health benefits in the workplace and how employers can strike a balance between AI innovation, employee data privacy, and other sensitive factors.

Is the rising popularity of AI impacting the insurance business or its fundamental practices? Listen to this special episode covering an actuary's unique perspective on how AI may or may not impact core insurance businesses and actuarial practices. The discussion touches upon how the insurance industry can balance the benefits of AI-driven precision with the need for fairness and regulatory compliance, improving data wrangling and processing steps prior to actuarial model building exercises, and how AI can influence overall risk assessment practices in a positive way.

This inspiring episode featuring an AI evangelist who's embracing the AI revolution in remarkable ways. From crafting custom Toastmasters songs to enhancing alumni club communications, our guest shares their journey of discovering generative AI tools in enhancing his creative content creation work. By listening to this episode, you will learn how Practical applications of ChatGPT, Suno AI, and DALL-E in community organizations is transforming creative workflows, especially in public speaking and community engagement. Perfect for retirees, creative enthusiasts, and anyone curious about practical AI applications in everyday life.

Dive deep into the transformative world of AI and data analytics with "Data Decoded: Navigating the AI Revolution". In this informative episode, the guest Vishal unravels the complex landscape of AI/ML driven by data which are reshaping businesses, careers, and technology. From practical integration strategies to emerging trends and critical challenges, this podcast offers an insider's perspective on the AI revolution that's changing everything we know about data.

Generative AI has taken technology world by storm since the inception of ChatGPT in late 2022. As we keep progressing towards a world that will continuously get benefitted by this new technical advent, it's imperative to understand how data scientist, a title which was identified as "The sexiest job in the 21st century" role will get evolve further in upcoming years. This podcast tried to shed some lights on that by initiating a thought-provoking discussion between the guest Marina Polupanova, Principle Data Scientist at Bell Labs and the host Sam.

This episode brings forth a new technology concept "Observability" as the guest speaker shared his perspectives on the following questions: What Observability means in the context of modern software development and system monitoring? How does Observability differ from traditional monitoring and logging practices? Why has Observability gained so much attention in recent years? What are the driving factors behind its increasing popularity? From cybersecurity perspective, what role does Observability play in identifying and mitigating potential threats or vulnerabilities? How do you see the future of Observability evolving in the next few years from the context of recent AI innovation surge? What resources or learning opportunities would you recommend for individuals or teams interested in diving deeper into the topic of Observability? Guest speaker: Edward Ferron LinkedIn profile: https://www.linkedin.com/in/eferron/

This episode strikes up some insightful conversations about the usefulness of analytics in soccer/football. The guest speaker Bruno Baltazar, a soccer/football coach and the host of "Houston Dynamic Dynamo" podcast, shared his perspectives on the following relevant questions during the session: What are some key metrics or statistics that soccer analysts cum coaches use to evaluate player performance? How does soccer analytics help in identifying player strengths and weaknesses, and how can this information be used in team tactics and strategies? How does soccer analytics influence player recruitment and scouting processes? What are some innovative approaches in this area? Listen to this engaging discussion between the guest and the host as it unfolded various aspects of the usefulness of analytics for the beautiful game.

This episode unveils an emerging trend of analytics practices in football/soccer industry. The guest speaker Ana De Souza talks about her journey from economics to sports sector. She also shares her perspectives about how analytics/data science techniques coupled with innovative technology toolkits are being instrumental to help sports teams in making better scouting selections, helping coaches to perform better assessment of players and making data-driven predictions that contribute to the overall team success.Ana's LinkedIn profile link: https://www.linkedin.com/in/anavdesouza/

This podcast geared towards an effort to explore new technology toolkits that helping insurance professionals in their risk management and operational risk practices. The guest speaker provides an overview of a new technology called "Spark", a cloud-based logic engine, which has a lot of potential to automate some of excel-driven insurance business function modules into API. Furthermore, the discussion took a different tangent at the end just to touch upon the importance of AI and technological innovation in changing the paradigm of risk practices in the insurance realm in the foreseeable future.Podcast guest: Nick Leimer, Senior Director Of Technology at Coherent, ex-Microsoft Useful links: https://azuremarketplace.microsoft.com/en-us/marketplace/apps/coherent1634571349676.coherent_spark?tab=Overviewhttps://www.soa.org/

This podcast session features a seasoned Actuary who shared his perspectives on various topics related to Actuarial science and the respective profession. Guest speaker: Charles Johnson, FSA, CEO at Actuarial Development Institute and TEDx speaker. Follow him on LinkedIn to learn more about Actuarial Science and public speaking. During this conversation the guest speaker and moderator Sam touched upon the following items: a) importance of actuarial role in the insurance sector and growing popularity of actuaries in other business verticals. b) an interesting take on the ongoing partnership of actuaries and data scientists and how this will be amplified more in the foreseeable future c) Charles's opinion on how AI can help Actuaries in augmenting their efficiencies in driving business functionalities instead of posing a threat to their jobs. If you like this podcast, then drop a review and subscribe to my podcast channel to gain access to future episodes featuring academia and industry experts. #datascience #coffeechat #science #research #data

This podcast features two research scholars from scientific community who shared their perspectives on how data plays a crucial role in research area. Guest speakers: Efrosini Tsouko, PhD from Baylor College of Medicine Mausam Kalita, PhD from Stanford University By listening to this video you will gather information on the following topics: a) the importance of data in scientific research, b) valuable insights about the data handling practices in research areas related to molecular biology, genetics, organic chemistry, radiology and biomedical imaging, c) future of AI and machine learning in scientific research.