AI in Marketing- Refine Your Business using Machine Learning and Deep Learning

 

AI and SEO 2022

Artificial Intelligence refers to the simulation of human intelligence in machines that are programmed to think and act like humans.

 AI for Business

Using big data and algorithms, AI Technology achieved two essential techniques- machine learning and deep learning. Both terms fall under the broad category of AI. However, machine learning is a subfield of artificial intelligence that uses algorithms to parse data, learn from the data and make informed decisions based on what it has learned.

 

On the other hand, deep learning is another subfield of artificial intelligence that structures algorithms in layers to create an artificial neural network that can learn and make intelligent decisions on its own with even greater accuracy.

 

 

As we proceed towards the future, we see the development of Artificial Intelligence in almost every industry. eCommerce websites and art-related websites use AI and 3D preview to showcase the products efficiently. And now, we can see the role of AI expanding in the industry of marketing.

 

When we merge AI and marketing, we know that AI Marketing is now known as a genre or form of marketing. Most of the things that we hear about marketing in our public lives are the uses of machine learning that you can also define as predicting the future outcomes based on historical data.

 

If you search for AI, you’ll get thousands of explanations from experts. So let’s simplify AI for you. It’s an umbrella term encompassing technologies and algorithms designed to make machines more intelligent. The key is that the machines get smarter and predict with human intervention.

 

Difference between Machine Learning and Deep Learning

 

The most straightforward example to differentiate between machine learning and deep learning is Amazon Alexa recognize your voice commands and voice-to-type application which require users to train the program why speaking course of words to the system before use. Here, amazon Alexa completely works on the deep learning method, whereas voice to type applications work on the machine learning method.

 

So. Even if we notice it or not, we are in touch with it every day; whether it’s Netflix suggestions or mobile phone face ID, AI has taught businesses to become innovative, flexible, and adaptive.

 

 

Consumer Examples Using Machine Learning in their Day-to-Day Lives

 

We always look at the most exceptional examples, and when it comes to machine learning or AI, Google maps is an outstanding choice. So, when we try and make it less abstract for people, they also use it thousands of times in their daily lives.

 

The apps on your smartphone like Meta, Instagram, Google Maps, Spotify, and even Amazon try to learn and predict customer behavior by utilizing the provided data.

 

Google Maps- The Best Example of AI in Marketing

 

When we say that AI in Marketing can be best seen with Google Maps, we mean that it makes predictions about the most efficient way to get from point A to point B(location). But the human at the end of the day still makes the decision, and that’s where we are trying to go with marketing software is to make it smarter, to make it predict a little better, which is the best route to go to,

 

There’s a book named Prediction Machines by Ajay Agrawal, Avi Goldfarb, and Joshua Gans in which they look at the future of jobs and predict that it’ll basically be telling machines what predictions to make and then figuring out what to do with those predictions such as using human judgments on that predictions.

 

What is the state of AI within Marketing and Sales?

 

This technology is generally at the early stage of its development and application to marketing. There are other industries where it’s raced forward. For Instance, if we look at Wall Street for Finance, it is more than 30 years older, and they are still trying to figure out where to invest or when to make trades. So looking at the AI in marketing, we can say that it is at the very early stage where money has started to flow in. We track thousands of AI-powered sales and marketing technologies, and about 500 of them have funding combined over five billion, but a lot of that money is funding companies, and when you dig deeper, they don’t have much proof that it works. So, they talk about machine learning, and they have also claimed that they are building smarter technology. Still, if you press for case studies, you get to know that it’s the beginning and that machine learning is part of a road map, and sales and marketing companies are at the position of staging testing.

 

 

How Can You Apply AI to Marketing Effectively?

 

 

Starting with Social media, social media advertising is is one of the marketing Areas where AI was effectively implemented. By utilizing machine learning, platforms such as Facebook or Instagram can examine users' information to personalize the content and ads on their feed. This technique is also being used by streaming platforms such as Netflix and YouTube and retail websites such as Amazon, which uses past purchases or viewing history to improve their recommendation engines.

 

Chatbots: Chatbots provide online assistance 24/7 to their customers. This is done using machine learning, and AI chatbots give human-like replies to the questions in real-time.

 

Predictive Analytics: Ai can predict sales and behaviors with big data. Companies can now foresee future results and adjust their marketing strategies and tactics.

 

But as said earlier, these are just the beginning stages of AI and Machine Learning capabilities. With Technologies, we can go ahead in time too.

 

Thanks for Reading!