Marketing Agency Drive Social Media Explains the Differences Between Generative AI and Machine Learning
Photo: Unsplash.com

Marketing Agency Drive Social Media Explains the Differences Between Generative AI and Machine Learning

Artificial intelligence is a growing trend in digital marketing. However, terms like “generative AI” and “machine learning” are often used interchangeably, leaving business owners confused about what new tools will work best for their brand. Stephen Nations, VP of Digital Marketing at Drive Social Media, emphasizes the importance of understanding the distinction between these tools. “Our clients frequently ask us about these terms and want to know what’s worth using,” says Nations. 

Here is what the experts at Drive Social Media want business owners to know about these key concepts.

The Power of Machine Learning

Machine learning is an AI tool that analyzes data using algorithms. These tools use this information to make predictions to help marketers make strategic decisions for their business. It gives marketers additional confidence that the choices they make for their brand will reap effective results. 

“Machine learning can streamline operations, saving business owners and managers significant time while providing them with near-perfect insights,” says Nations of Drive Social Media. As new data comes in, machine learning tools continuously update and improve. As a result, companies can adjust their marketing strategies in real time for better results.

Generative AI: Content Creation Made Easy

Generative AI is also an artificial intelligence tool. In fact, it’s actually a branch of machine learning, which is likely where the confusion comes in. Generative AI uses machine learning to create brand-new content based on various datasets. This tool can make images, videos, audio, and more.

Generative AI vs. Machine Learning: What’s the Difference?

The key differences between these two artificial intelligence tools are the following:

Goals

Outputs

Training techniques

Performance metrics

Machine learning aims to analyze data and make predictions, whereas generative AI creates new data. Additionally, the success of the former is based on accuracy. When it comes to the latter, its success hangs on metrics like realism, diversity, and coherence. 

Artificial Intelligence Tools Can Positively Impact Businesses

A marketer can use both of these AI tools to grow their business. From adapting their advertising strategies based on predictions from machine learning to drafting quality content thanks to generative AI, the sky’s the limit to what entrepreneurs can achieve when they harness the power of both options. 

“Artificial intelligence is becoming increasingly popular,” says Nations. “When used correctly, it can help businesses grow faster than ever.” Businesses shouldn’t be afraid to experiment with both tools to see which — or if both — work best for their brand goals. 

It may take some trial and error, but the results will be well worth it. These tools are highly rated and designed to perform as accurately as possible, so companies have little to lose but much to gain by giving them a shot.

About Drive Social Media

As one of INC’s 5000 Fastest Growing Companies in America, Drive Social Media provides powerful marketing solutions to help its partners maximize their growth. With a proprietary ROI-tracking platform, Marketing Milk, Drive’s team works online and at five locations throughout the U.S. to deliver a minimum of 3X ROI to every partner.

Published by: Aly Cinco

Share this article

(Ambassador)

This article features branded content from a third party. Opinions in this article do not reflect the opinions and beliefs of New York Weekly.