The What’s AI Podcast: Top AI Careers & Real-World

Published: 11 Jan 2025

In today’s rapidly evolving digital landscape, Artificial Intelligence (AI) is no longer just a buzzword—it’s an integral part of our everyday lives.

From voice assistants like Siri to self-driving cars, AI is revolutionizing industries across the globe. But, as AI becomes more complex, how do you stay updated and truly understand it? The What’s AI Podcast

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Table of Content

About Louis-François Bouchard:
The What's AI Podcast is Worth Your Time
Here’s why The What’s AI Podcast is a must-listen:
1. Expert Interviews
What Can You Expect from The What's AI Podcast?
1. Expert Interviews with AI Leaders
2. Deep Dives into Key AI Subfields
How to ensure AI is used responsibly and fairly.

About Louis-François Bouchard:

Louis-François Bouchard is no stranger to the world of AI. As a passionate AI expert, he’s dedicated himself to making AI both understandable and accessible. Through his YouTube channel and now his podcast, Louis has been sharing his knowledge of AI with audiences worldwide. His mission? To break down complex AI concepts and present them in a way anyone can grasp. advantages of Ai podcast

With a knack for simplifying complicated topics, Louis-François Bouchard brings clarity to AI—without dumbing it down. His podcast provides a platform for open conversations with leading AI experts, giving listeners an in-depth yet easy-to-follow perspective on everything from machine learning to AI ethics.

The What’s AI Podcast is Worth Your Time

If you’re new to AI or just starting your journey in the field, it’s easy to get lost in jargon and technicalities. But The What’s AI Podcast stands out by offering something different: real, human-centered conversations that demystify AI and make it accessible to everyone.

Here’s why The What’s AI Podcast is a must-listen:

Expert Interviews

Each episode of the podcast features an AI expert, where dive into various aspects of AI—its history, current trends, and future potential. These experts bring years of experience and unique perspectives that are invaluable for anyone looking to understand AI at a deeper level. create podcast show notes

Diverse Topics and Subfields

AI is a broad field with multiple sub-disciplines, from deep learning and natural language processing (NLP) to robotics and ethical considerations. The podcast covers a wide range of topics, ensuring that listeners gain a well-rounded understanding of AI in all its forms. Louis and his guests often explore cutting-edge AI technologies and their impact on industries like healthcare, finance, and even entertainment.

Focus on Career Paths and Success Stories

One of the most unique aspects of The What’s AI Podcast is its emphasis on the personal journeys of AI professionals. It’s not just about the science and technology—it’s about the people who build it. Each guest shares their own story, detailing how they got into AI, the challenges they faced, and the strategies they used to succeed. These real-life experiences provide a wealth of inspiration for listeners, whether they’re aspiring AI professionals or seasoned experts looking to pivot their careers. AI tools for podcastors

Approachable and Easy to Understand

AI can be intimidating, especially for beginners. But Louis-François Bouchard has a gift for breaking down complex topics into bite-sized, understandable chunks. The podcast’s conversational tone ensures that even those with no prior knowledge of AI can follow along and gain valuable insights.

Practical Insights for Real-World Applications

Beyond theory, the podcast delves into how AI is being used in the real world. Whether it’s improving customer service through chatbots or automating processes in industries like healthcare, the podcast covers the practical applications of AI that listeners can relate to and learn from. These insights are perfect for professionals who want to know how they can leverage AI in their work or businesses.

What Can You Expect from The What’s AI Podcast?

Each episode of The What’s AI Podcast is packed with valuable insights, expert knowledge, and real-world applications of AI. Here’s what you can expect when you tune in: Top 10 AI Podcasts Listen To

Expert Interviews with AI Leaders

Gain exclusive access to interviews with some of the brightest minds in the AI industry. Louis-François Bouchard brings on experts from various fields to discuss their work, breakthroughs, and unique perspectives on AI.

Deep Dives into Key AI Subfields

AI is a broad and complex field, but The What’s AI Podcast breaks it down into bite-sized topics. Expect to hear about:

Machine Learning: How algorithms learn from data to improve predictions.
Deep Learning: The technology behind voice assistants, facial recognition, and more.
Natural Language Processing (NLP): How AI understands and processes human language.
AI in Robotics: How AI is used in autonomous robots for manufacturing, healthcare, and beyond. what is podcats
Discussions on AI’s Societal Impact
AI isn’t just about technology—it’s about how it changes the world. The podcast delves into:

How to ensure AI is used responsibly and fairly.

Bias in AI: The importance of diverse and representative data to prevent algorithmic bias.

AI’s Role in Society: How AI is transforming healthcare, education, and even art.

Inspiring Career Stories from AI Professionals

Hear firsthand from AI experts about their career journeys. From data scientists to AI researchers, each guest shares their unique path, challenges faced, and tips for those looking to break into the field. It’s a great way to find inspiration and learn from the best in the industry.

Practical Tips & Real-World Applications

The podcast doesn’t just talk about theory—it explores how AI is used in the real world:

AI in Business: How companies use AI to drive innovation and efficiency.
AI for Social Good: Learn about how AI is helping solve global challenges like climate change, poverty, and healthcare.
Tech Innovations: Discover the latest trends, tools, and breakthroughs in AI.
A Beginner-Friendly Approach
Even if you’re new to AI, you don’t need to worry! Louis-François Bouchard ensures each episode is accessible and easy to follow. Expect clear explanations and simple language that make complex topics understandable for everyone.

Engaging Conversations and Thought-Provoking Ideas

The podcast’s conversational style makes learning about AI enjoyable. Each episode feels like a friendly chat, allowing you to reflect on new ideas, ask questions, and get a deeper understanding of AI’s potential.

How to Listen to The What’s AI Podcast

You can tune in to The What’s AI Podcast on multiple platforms, including:

Spotify
Apple Podcasts
YouTube

artificial intelligence guide

Be sure to subscribe so you never miss an episode. And, if you enjoy the podcast, don’t forget to leave a rating and review—it helps the podcast grow and reach more listeners interested in AI.

conclusion

The What’s AI Podcast is the perfect starting point for anyone looking to explore the world of Artificial Intelligence. Whether you’re a beginner or a seasoned professional, the podcast offers something for everyone. Through engaging expert interviews, inspiring career stories, and real-world applications, Louis-François Bouchard provides a comprehensive yet accessible introduction to AI.

Quiz: How Well Do You Know AI Careers and Real-World Applications?
Which of the following is a key skill for a career in AI research? A) Graphic Design B) Advanced Mathematics and Programming C) Digital Marketing D) Accounting What is the primary role of a Data Scientist in AI development? A) Designing user interfaces B) Creating algorithms to make predictions based on data C) Writing code for mobile apps D) Managing customer relations Which of the following is an example of AI used in the real world today? A) Self-driving cars B) Spreadsheets C) Telemarketing D) Traditional video games Which career path involves training AI systems using large datasets? A) Data Engineering B) AI/ML Engineering C) Cybersecurity Analyst D) User Experience Researcher Which of these industries is most likely to be impacted by AI in the coming years? A) Healthcare B) Hospitality C) Agriculture D) All of the above What is the main difference between machine learning and deep learning in AI? A) Deep learning requires a lot more human supervision B) Deep learning uses artificial neural networks to solve complex problems C) Machine learning doesn’t involve data D) There is no difference—both are the same Which AI career focuses on building conversational agents, such as chatbots or voice assistants? A) AI Ethics Specialist B) NLP (Natural Language Processing) Engineer C) Robotics Technician D) Cloud Infrastructure Architect In which sector is AI most commonly used for fraud detection? A) Retail B) Finance and Banking C) Education D) Entertainment What is “AI bias”? A) When AI systems are programmed with too many features B) When AI models unintentionally reflect prejudice in their decision-making C) When AI systems become self-aware D) When AI cannot make decisions What career would you typically need to pursue if you wanted to focus on ethics in AI? A) AI Research Scientist B) AI Ethics Consultant C) AI Software Developer D) AI Product Manager Answer Key: B B A B D B B B B B

Quiz: How Well Do You Know AI Careers and Real-World Applications?

Which of the following is a key skill for a career in AI research?
A) Graphic Design
B) Advanced Mathematics and Programming
C) Digital Marketing
D) Accounting
What is the primary role of a Data Scientist in AI development?
A) Designing user interfaces
B) Creating algorithms to make predictions based on data
C) Writing code for mobile apps
D) Managing customer relations
Which of the following is an example of AI used in the real world today?
A) Self-driving cars
B) Spreadsheets
C) Telemarketing
D) Traditional video games
Which career path involves training AI systems using large datasets?
A) Data Engineering
B) AI/ML Engineering
C) Cybersecurity Analyst
D) User Experience Researcher
Which of these industries is most likely to be impacted by AI in the coming years?
A) Healthcare
B) Hospitality
C) Agriculture
D) All of the above
What is the main difference between machine learning and deep learning in AI?
A) Deep learning requires a lot more human supervision
B) Deep learning uses artificial neural networks to solve complex problems
C) Machine learning doesn’t involve data
D) There is no difference—both are the same
Which AI career focuses on building conversational agents, such as chatbots or voice assistants?
A) AI Ethics Specialist
B) NLP (Natural Language Processing) Engineer
C) Robotics Technician
D) Cloud Infrastructure Architect
In which sector is AI most commonly used for fraud detection?
A) Retail
B) Finance and Banking
C) Education
D) Entertainment
What is “AI bias”?
A) When AI systems are programmed with too many features
B) When AI models unintentionally reflect prejudice in their decision-making
C) When AI systems become self-aware
D) When AI cannot make decisions
What career would you typically need to pursue if you wanted to focus on ethics in AI?
A) AI Research Scientist
B) AI Ethics Consultant
C) AI Software Developer
D) AI Product Manager

Answer Key:

B
B
A
B
D
B
B
B
B
B

What are the best career paths in AI for someone just starting out?

Answer:
For beginners, some of the best career paths in AI include roles such as Data Scientist, AI Engineer, and Machine Learning Developer. These positions often require strong foundations in programming (Python, R), mathematics (linear algebra, calculus), and statistics. Beginners can also look into AI Researcher or AI Ethics Specialist if they’re interested in the theoretical or ethical aspects of AI. A solid understanding of data manipulation, algorithm design, and model training is essential. Many professionals start by gaining practical experience through internships, projects, and certifications in AI or machine learning.

How is AI being used in real-world industries today?

Answer:
AI is being applied across a wide range of industries to improve efficiency, automate tasks, and enhance decision-making. Some prominent real-world applications include:

Healthcare: AI is used for diagnosing diseases, personalizing treatment plans, and even managing administrative tasks in hospitals.
Automotive: Self-driving technology and AI-powered safety systems are reshaping the future of transportation.
Finance: AI algorithms are used for fraud detection, risk management, and algorithmic trading.
Retail: Personalization algorithms power recommendations and optimize inventory management.
Entertainment: AI helps in content recommendation engines (like Netflix or Spotify) and even in generating music and art.
These applications not only improve productivity but also pave the way for new innovations that transform entire industries.

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