The Impact of Artificial Intelligence on Content Marketing

The Impact of Artificial Intelligence on Content Marketing

Utilizing an existing vendor’s software with cognitive abilities is one of the ways in which these technologies can be introduced into your company. If you are already utilizing Salesforce customer relationship management (CRM) offerings and wish to ease into more intelligent processes for services, marketing, and sales, this seems like one of the simplest ways to do it. The role of AI in content marketing One of the areas where AI is of particular interest is content marketing. Understanding what artificial intelligence can do to content marketing is crucial for marketers who are willing to accept it. The following are the ways in which AI in content marketing works. Artificial intelligence already creates content. What AI skills do content marketers need? But, raw data and artificial intelligence alone will not help you in understanding your customers. The future of AI in content marketing This is just the beginning of marketing AI. Conclusion When it comes to the content marketing field, AI is here to stay and help content marketers in improving their content marketing activities.

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The Impact of Artificial Intelligence on Content Marketing

Gone are the times when nearly everything was done manually, and now we are living in a time in which a lot of work is taken over by software, machines, and various automatic procedures.

In this aspect, artificial intelligence (AI) has a prominent place in all the progress made today. AI is the science of machines and computers developing intelligence like humans.

In this technology, the machines have the ability to do some of the easy to complicated things that humans need to do on a regular basis.

AI implementation in an organization

There are distinct kinds of artificial intelligence, each needing some amount of technical knowledge to completely understand. As a result, recent players in this area frequently have difficulty figuring out how to jump in.

Although cognitive technologies like robotics, natural language processing, machine learning etc, may seem difficult to deal with, getting started with them is getting easier all the time.

Many vendors have entered in this field with their offerings providing choices for any organization who want to make their products or processes smarter. You can introduce these technologies in various ways into your company.

Utilizing an existing vendor’s software with cognitive abilities is one of the ways in which these technologies can be introduced into your company. Oracle and Salesforce.com lately announced they’re adding cognitive abilities to their products.

Salesforce is adding features of Einstein to its client facing software clouds, including the capability to classify images utilized in social media, read emails from clients, and automatically score sales leads.

If you are already utilizing Salesforce customer relationship management (CRM) offerings and wish to ease into more intelligent processes for services, marketing, and sales, this seems like one of the simplest ways to do it.

Chatbots are a medium-level cognitive technology that utilize natural language conversation for interacting with applications. Facebook (Messenger Platform), Microsoft (Cortana), Apple (Siri) and Google (with the recent acquisition of API.AI) have platforms for developers for deploying their chatbots.

If your business is focused particularly on mobile, where consumers seem inclined toward chatbots, you might dive into cognitive technology by picking one the APIs of those companies and connecting your applications to it.

These user interfaces will surely evolve with time, but it is a wise idea to begin working with them now in the event that you would like to take advantage of easy voice interaction.

You might even make an existing application more autonomous or smarter. Using component-based, modular architectures, it’s possible to add cognitive approaches to applications.

Another way is to build from the open source software. Yahoo, Amazon, Facebook, Microsoft, and Google have all released open source deep learning or machine learning algorithm libraries. For example, TensorFlow is an open source machine learning library developed by Google for the purpose of high-performance numerical computation. You can know more about this in the below video.

The development of a cognitive solution from scratch using open source tools can take longer than it usually takes for a few of the other options. Hence, this point of entry only makes sense if your organization has very critical needs and is in favor to make a long-term commitment to developing cognitive capabilities.

Probably, it is a better approach if you plan to incorporate cognitive features into your service or product.

So, the above-mentioned examples are the more common ways for the average organization to implement cognitive technologies into their day-to-day process.

It’s good that there exist several options, but when organizations decide to incorporate cognitive technology into their strategies, they must think hard about which one they plan to pursue.

The role of AI in content marketing

One of the areas where AI is of particular interest is content marketing. As you might know, content marketing is defined as a marketing approach which involves development and distribution of relevant and useful content on a consistent basis in order to communicate with existing customers or audiences and to engage with new ones.

Already, artificial intelligence plays a crucial role in the content marketing field, helping to make the processes more effective at a time of massive content overload.

It is helping marketers perceive the content marketing universe by examining the data of users and enabling marketers to make sense of user intent.

AI might not be ready to boss every element of the marketing game just yet, but it’s a fast learner. The days in which machines market to people, monitor campaigns, analyze the data and use it to become even better at marketing to people are fast approaching.

Understanding what artificial intelligence can do to content marketing is crucial for marketers who are willing to accept it. The following are the ways in which AI in content marketing works.

1. Personalization

Creating content that’s specific to each viewer has been the major priority for many marketers as of late, but it’s very difficult to execute this process. To implement effective customization, teams need access to massive amounts of customer data that must be analyzed properly and translated into actionable plans.

While personalization has been a buzzword in marketing for several years, latest advances in AI technology are now making this concept a reality.

Machine learning systems are able to collect relevant data points from customers and website visitors. They can create individual profiles from here and that may be utilized for the creation of a brand experience tailored to each individual.

Tools like OneSpot utilize AI-based algorithms and data related to web interaction to track engagement and fit content to individual tastes. Watch the below video to learn more about OneSpot.

Customized offers and recommendations are in high demand among customers, as 80 percent disclosed they’d be more inclined to buy from an organization that provides personalization.

By using AI-enabled software to track preferences and the behavior of customers, brands can use this information to guide their content strategies via multiple approaches, including customized content that is specific to each customer, and sending personalized offers for higher conversions.

2. Content creation

You can use AI to create content for simple stories like sports reports and stock updates.

This practice isn’t a new one. Using machines to automatically generate content has been common for years, and companies like Fox and The Associated Press take full advantage.

It could be that you’ve come across content that was created by an algorithm even without noticing it.

Artificial intelligence already creates content. Hundreds of Washington Post articles have been authored by a robot. Heliograf, the paper’s own AI technology, has written short articles about the Olympics, political races and high school sports. The video below explains more about this AI technology.

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