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.