Machine learning is the secret sauce behind many of the technologies we interact with daily. It’s not just a buzzword, it’s a revolution that’s reshaping industries. But what exactly is it? Well, basically, machine learning is a micro aspect of #ArtificialIntelligence that allows computers to learn from data without being explicitly programmed. It’s like teaching your computer to recognize your dog’s photos, but on a MASSIVE scale. The process starts with data, and lots of it, the kind you could get in legal trouble for (COUGH). This data can be anything from numbers and text to images and even sounds. Programmers then choose a specific machine learning model, feed it this data, and let the computer train itself. Over time, the model becomes better at making predictions or identifying patterns. It’s akin to teaching a child to ride a bike; they get better with practice. This is what is known as Data Training. But let’s not get carried away; machine learning has its limitations. For instance, it can sometimes be a ‘black box’ making it hard to understand why it makes certain decisions. Plus if the data used to train the model is biased, the machine learning program will inherit those biases. So, it’s important to approach this stuff with a critical eye. But, that’s for the ethical side of things to worry about. Why should you, especially as someone in marketing, care about machine learning? Because it’s transforming everything from customer segmentation to personalized marketing strategies. Understanding its basics can give you a competitive edge. It’s not just for us AI-Fanatics it’s for anyone who wants to stay ahead in the rapidly evolving digital landscape!! And if you’re wondering how to get started, there are plenty of online courses and resources to dive into. From Coursera to Udemy, the learning opportunities are endless! This technology is not just a fleeting trend; it’s the future of how we interact with the world. From healthcare innovations to financial analytics, machine learning is setting the stage for a future where computers understand us, maybe even better than we understand ourselves… That, my friends, is a future I see as being worth preparing for. --- This post was migrated from connect.com and was originally published at an earlier date.
eii Nico, Do you have a Marketing team? Do you belong to it? Are you guys using it? I feel curious --- This post was migrated from connect.com and was originally published at an earlier date.
I’m on a team but not overall marketing, RevOps specifically. We are using it in various ways for sure and are working on implementation with security and discretion at the forefront of it. --- This post was migrated from connect.com and was originally published at an earlier date.
Remember our chat a few days back? I’m convinced that Machine Learning is going to shake up how we think about our own thoughts. It’s like a wake-up call for how we connect with the world around us. In practical terms, picture a super empathetic kind of marketing. To pull it off, you’ve got to really get what your audience is all about before you let the AI loose. --- This post was migrated from connect.com and was originally published at an earlier date.
You should see what’s being done with code free AI programming… it makes using GPT look like playing with Licoln Logs/Legos lol, take your pick of super easy 80s toys LOL I think marketing has to go the direction your pointing at, more empathy, and here’s one…actually caring about the customer and their needs as opposed to cold sells and forcing a relationship that wasn’t necessary. Psychology. You have to know who and when. We’ve gone from targeting market audiences to trying to get everyone for the same product and now back to an extreme method of targeting. There’s a balance to be struck where you can find the audience who needs your help. I think that starts with information and content before advertising, nurture, and sales. --- This post was migrated from connect.com and was originally published at an earlier date.