AI Demystified for Executives
Ever wish you had a coach to help you decipher the AI buzz and hype so you could make better-informed business decisions about what, when, and why to use AI in your business? You'll get that when you tune into the AI Demystified for Executives podcast.
Andrew bridges the gap between complex AI concepts and practical business applications. With experience in both large corporations and high-growth startups, he excels at communicating with business and technical teams alike. As an author, industry thought leader and international speaker, Andrew serves as your trusted advisor and coach on this AI journey.
AI doesn't have to be complicated!
Here is what you can expect from this podcast:
We'll explore a monthly theme with specific topics each week. You'll also receive a free cheat sheet or guide for reference.
In each podcast, our goal is to ensure that you walk away understanding:
- One key AI concept
- Its business applicability
- An actionable takeaway
Our Monday episodes are 7-10 minutes long, perfect for getting up to speed on the week's most important "aha" moments during your commute or while sipping your morning coffee or tea.
On Wednesdays, our episodes run 30-40 minutes, providing a deeper dive into the week's topic. (Maybe a bit much if you're driving!)
Once a month, during the Wednesday podcast, we'll host an interview with either a business or technical professional related to the monthly theme.
AI Demystified for Executives
#4 - Deep Dive - Unlocking the Power of Neural Networks in Business
This multi-episode podcast provides a deep dive into the fundamentals and real-world applications of neural networks for executive decision-making. Key topics include the basic structure of neural networks, their use in image recognition, natural language processing, and predictive maintenance in manufacturing via IoT sensors. Discussions cover the alignment of AI projects with business goals, addressing challenges such as data bias, transparency, and the integration of AI without displacing employees. Various neural network architectures like feedforward networks, CNNs, RNNs, and transformers are explored. Additionally, the podcast offers a free PDF guide and emphasizes ethical AI implementations to enhance productivity and fairness in the workplace.