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.