The Modern Polymath

On today’s episode of the Modern Polymath, we continue our discussion on how to think like a polymath by talking about decomposition and why it's important on how to think, meaning to decompose something or to break it down into different pieces to make sense of it.

On today’s episode of the Modern Polymath, we discuss mental models and some reasons why they are important to continued learning and critical thinking.

On today’s episode of the Modern Polymath, we’re going to talk about how AI is being used within marketing and ways in which marketers are finding it useful to help with efficiency, marketing spend, customer service, and more.

In part two, we’ll cover the last seven questions you can ask yourself to identify if an employee may be a flight risk including waste, conflict, incentives, and silos.

We'll answer the first 3 of the top 10 questions to ask yourself to identify if an employee may be a flight risk, all the while introducing the three organizational villains: process constraints, competing priorities, and information asymmetries.

On today’s episode of The Modern Polymath, we close out Cybersecurity Awareness Month by giving you a quick overview of cybersecurity and tell you what you need to know to at least get familiar with it and the potential risks for ignoring it.

In this episode, we discuss how job seekers and HR recruiters are being impacted by AI and ML.

In this episode, we celebrate Cybersecurity Month and provide you with 12 quick tips to help you be more secure online, plus a few quick questions you can ask yourself as a simple cyber risk assessment.

In this episode, we give our take on five buzzwords that often overused as well as incorrectly: synergy, big data, unicorn, analytics, and influencer marketing.

We now live in a data-driven culture. It’s not an option for businesses anymore to not use data or not be involved with data, and that’s starting to become more understood. Throughout the business world, while people understand it’s important, there’s a lack of understanding of how an organization effectively uses data. It doesn’t matter if you’re a startup or a multi-national organization, there’s still the pieces that have to be put in place to be successful and that’s what we’ll talk about today.

We discuss a brief history of algorithms and how a few of the major types like matching and recommendation work when you break them down. We hope to inspire you to think of ways you could implement algorithms into your day to help you work smarter, not harder.

In part two, we'll discuss how organizations are using artificial intelligence in their business and exploring what integrating AI into your business could look like.

In part one, we'll discuss the difference between artificial intelligence and machine learning and how the field came to be.

In this episode, we explain what a polymath is and why we chose that for the name of podcast, which is ultimately the crux of our company philosophy.