Acceptance of Artificial intelligence completely transformed the marketing landscape for defining industrialization age. This industrial revolution will be operated by digitization, machine learning, robotics, communicating technology that will shift more decision making from humans to machines. This can eradicate the chances of human error and might be able to generate a report containing analytical data.
According to Mckinsey global institute report 2018, artificial intelligence could potentially add $13 trillion to global economic output by 2030 that means GDP will be grown 26 percent by 2030. Since AI leads to significant disruption in the labor market, AI could also reduce the GDP by 10 percent points. Hence the net increase GDP will be 16 percent by 2030. This overall thing will produce an S curve of Artificial intelligence relative growth in the market place (Berger I 2018). From the above data, it can be concluded artificial intelligence holds a great promise for speeding up the business operations and expansions across all the industries. This post will discuss how machine learning and artificial intelligence changes the content delivery network.
Machine Learning And Content Marketing
Machine learning is a subset of artificial intelligence that automates the mass of data to find the hidden pattern within. In recent years, the amount of multimedia content has been increased exponentially. Machine learning simulates the content into a prescribed format for at least one piece of multimedia content. This data can be a source of the creation of a report using Artificial intelligence.
At present, content marketing is one of the booming industries. According to Industry routinely survey, nearly two-thirds of the student’s opinions are shaped by their college website and its growing (Inside Higher Ed 2018). That means what content they are publishing on their website affects the student’s decision-making ability. Machine learning is built on an algorithm that is capable of identifying malware detection and network intrusion. It has the ability to find the intruder wherein learning and improving from past experiences takes place.
Machine learning has been successfully applied in the healthcare industry, warehousing, and retail industry. Now it has created its footprints inside content marketing. Using different sources for generating content is one of the hallmarks of Artificial intelligence. According to assignment writer, AI has the potential to both curate and analyzing content based on certain parameters. For instance, the wordsmith program in 2016 has produced more than 1.5 billion content prices with the help of Artificial intelligence.
Involvement Of AI And Machine Learning In Content Industry
A writer has do comprehensive research for developing personalized content. In the past 50 years, no doubt there is an explosion of content on the web. So if a writer begins research to extract valuable information it may consume infinite hours. Here AI comes into the picture as it finds the useful information underlying in the database and performs all sorts of decision making for the writer. As Ada Lovelace said The Analytical Engine has no pretensions whatever to originate anything. It can do whatever we know and how to order it to perform— AI prefaces the content piece being used to aid the users through the creative writing process(Stoudt, S. (2019).
Source- Christine moorman, The CMO survey, 2019
There are nine domains in marketing concentrating on using AI ranging from content personalization to biometrics. Content personalization is one of the prioritized areas where CMOs generating more revenue through AI (42.9%). Also, 82% of leaders say AI improves customer experiences by offering contextual, timely delivery content and automates Configure-Price-Quote (CPQ) (Columbus. L, 2019).
Positive Aspects Of Artificial Intelligence In Content Marketing
Whether we talk about Media and Entertainment or Digital Marketing, there is the much-hidden application of AI-based content. Within Media and Entertainment, the bulk of creative content is dedicated to the audience. The audience response informs right from how content composition to business strategies. Machine learning works as a useful tool for the content curator by auto-suggesting image assets for articles. As per assignment help expert sequence to sequence learning not only translates the content but also increases the reach of content among the audience.
E-Marketing- AI is playing a substantial role in the E-marketing. Around 41.29% of US marketers say AI becomes useful in generating more revenue from E-marketing (Return-path, TRG, Statista chart, 2019). This is all done because of AI-powered E-marketing tools. The system manages to generate automatic emails for their brand promotion, notify mails and improving click-through rates.
Content delivery network- The demand for web-based content including ( video and social media-rich) uses this innovative edge to deliver disruption-free content on time. Operators gather real-time data built by AI and ML to facilitate decision making. This reduces the chances of https error, IO access or cache miss rates.
Smart Content Curation- AI-powered content curation navigates the readers by showing relevant content to them. Smart content curation will help the writers or bloggers to write attractive, beautiful contextual write-ups. Its ability to learn the searcher intent help the companies to provide targeted content to determine connection with the audience.
Drawbacks
Creativity is an essential component for successful marketing ( Stoudt, S. 2019 ). AI and ML use an algorithm and previous databases that are not static. Yet AI helps in picking the right imagery, but it lacks creativity. Further, it requires continuous upgrading for adapting a highly evolving business environment. Hence having infinite usages, AI still needs some improvement.
Conclusion
In the rapid pace of globalization, AI is the most useful innovation that brings changes in content marketing. AI has the potential to both curate and composing content based on certain parameters. Whether we talk about Media and Entertainment or Digital Marketing, there is the much-hidden application of AI-based content. Within Media and Entertainment, the bulk of creative content is dedicated to the audience. In the domain of content marketing, AI-powered content curation navigates the readers by showing relevant content to them. So if a writer begins research to extract valuable information it may consume infinite hours. It can find the intruder wherein learning and improving from past experiences take place. But somewhere it also requires continuous upgrading for adapting a highly evolving business environment.