Artificial Intelligence: How is it transforming the future of digital marketing? (Rerun)

<p>Our audio content manager, Daren Lake, sublimely curates an audio-candy episode with a teleportation back in history and a few one-on-ones with Metigy's founders. This episode is meant to be consumed with headphones on so we encourage that you plug in and enjoy all in the hopes of understand Metigy, SMEs, marketing and the potential for your own business’ future.</p><p> </p><p><strong>In this episode you will learn:</strong></p><ul><li>The growing population of SMEs</li><li>The history of problems and solutions (that all relate back to business and marketing)</li><li>Metigy’s technology explained in a simple analogy</li><li>How to solve problems for your customers</li><li>Stopping the SME superhero syndrome</li><li>Artificial intelligence explained through Instagram</li><li>What Product Market Fit is</li><li>Predictions on marketing, artificial intelligence and SMEs</li><li>And More</li></ul><p> </p><p><strong>Quotes</strong></p><ul><li>Daren On Artificial Intelligence explained simply:<br />[00:15:40] “Artificial intelligence while scary isn't as much about a Terminator future but more about a future that we are already living.”<br />[00:15:51] The maps app or chess game that you use on your smart phone is specific artificial intelligence. The Facebook and Instagram algorithms that you use right now are all based on machine learning from human inputs to then execute different outcomes.</li><li>Daren on Product Market Fit (PMF):<br />“But finding PMF is When you made something that people want.. Your customers, clients or users just want to  tell other people to use your product (without any incentive).”</li><li>David Fairfull on Metigy App tech stack:<br />[00:14:51] “How many different technologies do we use to help us do the marketing function? We don't have them connected, right? The proposition is the need to finally have one true source of all data and could make a great decision.”<br />“Technology is not being there to harness the value of that data. It (currently) comes back to humans interpreting that