What’s the difference between training an LLM from scratch and fine-tuning one that already exists?
In this episode, we unpack the full story: the data, the GPUs, the cost, the workflows, and the practical reasons why most companies choose fine-tuning over full training. We also explain how fine-tuned models can adapt to new styles, languages, and business needs.

A simple and direct conversation about how modern AI models are actually built and shaped.

Data-driven transformation isn’t just about analytics dashboards. It’s about mindset, culture, clarity, and the ability to evolve with technology.

In this episode, Andredi Mauro and Michele Pacifico dive into the insights behind their book The Financial Times Guide to Data-Driven Transformation. We explore how executives can rethink business models with data, the role of AI and generative AI in shaping the future, and why clarity of goals matters more than ever.

We also discuss the common pitfalls companies face, why FOMO leads to bad decisions, and how data professionals can act as genuine change agents in their organizations.

If you're working in data, leading digital transformation, or preparing for the AI-driven future, you’ll find tons of practical wisdom here.

What you’ll learn
• What true data-driven transformation looks like
• Why clarity beats hype in data initiatives
• The changing role of data professionals
• How generative AI is reshaping analytics and strategy
• How to build governance and culture that scale
• Why the journey is iterative, not a one-time project

Key quotes
"The book can be your compass."
"Value clarity is your north star."
"Stay consistent in your journey."

AI isn’t just a technology play. It is a readiness game.In this episode, Vijay Krishnam breaks down what it really takes for enterprises to succeed with AI… and why so many still struggle to turn AI investments into business value. From regulated industries like banking and healthcare to fast-moving tech environments, we explore the five pillars of AI readiness: infrastructure, data quality, talent, governance, and culture.We talk about real-world AI challenges, ethical pressures, data governance realities, KPIs that matter, and why cultural alignment is often the deciding factor between flashy POCs and actual impact.If your company is exploring AI, scaling it, or you want to understand the truth behind enterprise AI success, this episode is a must watch.What you’ll learn• What AI readiness really means• Why culture and governance matter more than models• How regulated industries approach AI adoption• Where companies go wrong with AI investments• A practical mindset for long-term AI successKey quotes"Cultural alignment is very important.""Garbage in, garbage out is still true for AI.""Start with a business problem, not technology."Connect🎧 Subscribe to the podcast📰 Join the newsletter on Substack💬 Tell us your thoughts in the comments

In this episode of My Data Guest, Jerome Treboux joins us to explore how Artificial Intelligence is reshaping multiple sectors — from healthcare and finance to manufacturing, retail, and beyond.

💡 What you’ll learn:

• How AI enhances medical diagnostics by assisting doctors in image analysis

• How fraud detection systems in finance protect consumers

• How AI optimizes traffic and enables self-driving technologies

• The role of predictive maintenance in reducing downtime and costs

• How recommendation systems personalize shopping and entertainment

• How AI personalizes education through adaptive learning paths

• How AI strengthens security with surveillance and facial recognition

• Real-world daily life applications that streamline productivity

• How precision farming promotes sustainability in agriculture

  
  

  
  

In this episode of My Data Guest, Miguel Otero Pedrido — physicist turned machine learning engineer and founder of The Neural Maze — shares his journey from physics to data science and software engineering.

We discuss the transition from traditional ML to deep learning, the hype around generative AI, and the importance of building practical AI solutions that solve real business problems. Miguel also reflects on public speaking, career transitions, and the future of agentic AI in shaping technology trends.

Stay up to date and never miss a moment:

• 🌐 Website: ⁠mydataguest.com⁠

• 🎧 Podcast: Listen/subscribe via ⁠Apple Podcasts⁠, ⁠Spotify⁠, and all major platforms

• 📬 Mailing List: Join our newsletter at ⁠mydataguest.substack.com⁠ for updates, guest news & behind-the-scenes insights

In this special Ask Me Anything edition of My Data Guest, host Rosaria Silipo welcomes an outstanding panel of AI leaders:

• Alessandro Romano – Senior Data Scientist and public speaker

• Luis Serrano – AI educator and author, creator of Luis Serrano Academy

• Joshua Starmer – Machine learning practitioner and community builder (StatQuest)

• Miguel Otero Pedrido – Machine Learning Engineer and founder of The Neural Maze

Together, they answer audience questions and share insights on the future of artificial intelligence — from real-world applications to the challenges and opportunities driving the next wave of AI innovation.

Expect a lively exchange of ideas, practical advice, and thought-provoking perspectives from some of the brightest minds shaping the field.

Stay up to date and never miss a moment:

• 🌐 Website: mydataguest.com

• 🎧 Podcast: Listen/subscribe via Apple Podcasts, Spotify, and all major platforms

• 📬 Mailing List: Join our newsletter at mydataguest.substack.com for updates, guest news & behind-the-scenes insights

The new My Data Guest is more than just a podcast – it’s a learning experience.
We’re building a space to explore AI and Data Science across multiple platforms, including Substack, LinkedIn, and YouTube.

This is the new face of the podcast: together, Rosaria and Alessandro will guide you through the latest trends in AI and Data Science – cutting through the hype and buzzwords, and focusing on what really matters.

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https://mydataguest.substack.com/

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