In this episode of "A Beginner's Guide to AI," Professor GePhardT delves into the transformative power of AI in developing countries.

Explore how AI can revolutionize healthcare, education, and agriculture, providing innovative solutions where resources are scarce.

Learn about real-world applications, such as AI-powered drones delivering medical supplies in Rwanda, and understand the challenges and limitations of implementing such technologies.

We also discuss the ethical considerations and the importance of robust regulation to ensure equitable and responsible AI development.

Join us as we uncover the potential and the pitfalls of AI in driving progress in developing nations.

Tune in to get my thoughts, don't forget to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠subscribe to our Newsletter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠!

Want to get in contact? Write me an email: podcast@argo.berlin

This podcast is generated with the help of ChatGPT, Mistral and Claude 3. We do fact-check with human eyes, but there still might be hallucinations in the output.

Music credit: "Modern Situations" by Unicorn Heads

Firms run into a lot of problems. And many of them you can solve with a lot of people doing routine jobs. And guess what: AI is better at those jobs - you did expect that, I guess 😉

Today, I talk to Kit Cox, Founder and CTO of Enate who knows how to tackle such cases. Kit helps clients like Ernst & Young to get their operations in order and tackle common problems like payment reconciliation through AI and orchestration. I personally totally enjoyed the interview with Kit and have to say: this is the best beginner's podcast ever!

What do you say, did you also took away so much? Please comment 🤗

About Enate: Enate combines workflow orchestration and AI capabilities to help businesses run smooth and efficient operations.

Enate enables service teams to manage and distribute tasks, assign work by competency, skill, and priority, and ensure the right work gets to the right person on time.

From automating repetitive tasks to streamlining processes, using Enate ensures you never miss a deadline again.
Follow Kit, Founder and CTO of Enate on LinkedIn: Kit Cox Learn more about Enate: https://www.enate.io/ Check out Ennate's YouTube channel: https://www.youtube.com/@Enateltd

Want to know more from Beginner's Guide to AI? Then ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠subscribe to our Newsletter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠!

Want to get in contact? Want to get interviewed? Write me an email: podcast@argo.berlin

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Music credit: "Modern Situations" by Unicorn Heads.

AI Disclaimer: This podcast episode is human generated

In this episode of "A Beginner's Guide to AI," we delve into the fascinating world of using AI for predictions. Discover how AI analyzes vast amounts of data to forecast future events with remarkable accuracy. From predicting weather and stock market trends to identifying disease outbreaks, AI's predictive capabilities are revolutionizing various sectors.

We'll break down the fundamental components of AI predictions, using a simple bakery example to illustrate how data collection, processing, pattern recognition, and forecasting work together. Additionally, we'll explore a real-world case study on General Electric's predictive maintenance system, showcasing how AI predictions can enhance operational efficiency and safety.

Join us as we discuss the ethical implications of AI predictions, emphasizing the importance of data privacy and responsible use of predictive information. By the end of this episode, you'll have a comprehensive understanding of AI's predictive power and its potential to transform our future.

Tune in to get my thoughts, don't forget to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠subscribe to our Newsletter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠!

Want to get in contact? Write me an email: podcast@argo.berlin

This podcast was generated with the help of ChatGPT, Mistral and Claude 3. We do fact-check with human eyes, but there still might be hallucinations in the output.

Music credit: "Modern Situations" by Unicorn Heads.

In this episode of "A Beginner's Guide to AI," we delve into the fascinating world of fuzzy logic, a crucial concept that enables AI to handle imprecise and uncertain data with the finesse of human reasoning. Professor GePhardT explains how fuzzy logic moves beyond traditional binary logic, introducing a spectrum of truth values to make nuanced decisions.

Using relatable examples, like baking the perfect cake, we explore how fuzzy logic accommodates variations and imprecisions in everyday tasks. We also examine a real-world case study involving autonomous vehicles, demonstrating how fuzzy logic enhances their ability to navigate complex environments safely and efficiently.

Join us as we uncover the power of fuzzy logic, bridging the gap between human intuition and machine precision. Don't miss this insightful journey into one of AI's most versatile tools.

Tune in to get my thoughts, don't forget to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠subscribe to our Newsletter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠!

Want to get in contact? Write me an email: podcast@argo.berlin

This podcast is generated with the help of ChatGPT, Mistral and Claude 3. We do fact-check with human eyes, but there still might be hallucinations in the output.

Music credit: "Modern Situations" by Unicorn Heads.

In this episode of "A Beginner's Guide to AI," we delve into the fascinating world of ChatGPT. Discover how this sophisticated AI model generates human-like text, the intricacies of its underlying Transformer architecture, and the differences between generating and truly understanding language. We break down complex concepts using a simple cake analogy and explore a fictional case study of Argoberlin, showcasing how ChatGPT enhances customer service.

Join us as we discuss the ethical considerations and potential pitfalls of using AI, and gain insights into how to use this powerful technology responsibly.

Tune in to get my thoughts, don't forget to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠subscribe to our Newsletter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠!

Want to get in contact? Write me an email: podcast@argo.berlin

This podcast is generated with the help of ChatGPT, Mistral and Claude 3. We do fact check with human eyes, but there still might be hallucinations in the output.

Music credit: "Modern Situations" by Unicorn Heads

AI scams are the next big thing in criminal activity. Via email, text, WhatsApp, Call - people are trying to scam you. With the voice of your daughter, your boss or simply with pretending to be the Microsoft service member fixing your software.

Whatever it is, it is not good: they want to steal your money and your identity, making then more money from you.

In this episode, Dietmar interviews Yuri Dvoinos from Aura.com, a firm dedicated to preventing scams against you, your firm and your family. He gives you great tips on where to be careful and, ultimately, how to not be scammed.

And, because it is so important, here are the steps to detect and prevent scam (I took the liberty to extract them from the interview, it's not official):

In voice calls:

- Is someone pressing for urgency?

- Is there background noise in the call?

In text:

- Is there a link to click?

In general:

- Is there something related to financial details?

- Does it play your greed or fear?

If you are unsure, call on another channel (important!) to verify if the call/message is from the right person.

How to get in contact with Yuri Dvoinos:

https://www.linkedin.com/in/dvoinos/

https://www.aura.com

The Robert Downey Jr. Video:

https://www.youtube.com/watch?v=s6N8gMkD6pM&t

In this episode of "A Beginner's Guide to AI," we delve into the fascinating world of AI-generated music, focusing on OpenAI's MuseNet. Discover how advanced AI models can compose music across various genres, from classical symphonies to modern pop hits. We explore the technology behind MuseNet, its real-world applications, and the ethical and legal implications of AI in music. Whether you're a musician, a tech enthusiast, or simply curious about the future of music, this episode offers deep insights and thought-provoking discussions.

Join us as we uncover how AI is not just a tool but a collaborator in the creative process, pushing the boundaries of what's possible in music composition. Subscribe to our newsletter for more tips and updates at argoberlin.com/newsletter.

Tune in to get my thoughts, don't forget to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠subscribe to our Newsletter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠!

Want to get in contact? Write me an email: podcast@argo.berlin

This podcast is generated with the help of ChatGPT, Mistral and Claude 3. We do fact-check with human eyes, but there still might be hallucinations in the output.

Music credit: "Modern Situations" by Unicorn Heads.

Dive into the complexities of AI's criminal risks in this episode of "A Beginner's Guide to AI." From cybercrime facilitated by AI algorithms to the ethical dilemmas of algorithmic bias and the unsettling rise of AI-generated deepfakes, explore how AI's capabilities can be both revolutionary and potentially harmful.

Join host Professor GePhardT as he unpacks real-world examples and discusses the ethical considerations and regulatory challenges surrounding AI's evolving role in society. Gain insights into safeguarding our digital future responsibly amidst the rapid advancement of artificial intelligence.

Tune in to get my thoughts, don't forget to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠subscribe to our Newsletter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠!

Want to get in contact? Write me an email: podcast@argo.berlin

This podcast was generated with the help of ChatGPT, Mistral and Claude 3. We do fact-check with human eyes, but there still might be errors in the output.

Music credit: "Modern Situations" by Unicorn Heads