More Relevance in Content Marketing Through AI

It would be conceivable, among others, for AI to adapt texts that have

already been created to the linguistic habits of different target groups, so that

a medical text, for example, could be understood by both doctors and ordinary people by having medical terms explained.

It is merely a question of time until algorithms are able to write texts for

any target group whatsoever. In the future, AI will presumably even be able

to produce excellent content at an enormous speed. This way, texts can be

individualised and personalised more easily so that all essential information

is included via a reader and which affects the written and adapted text.

AI becomes very familiar with the readership in this process and can uti-

lise all information about the recipient in such a way that every single piece

of content is unique. Just imagine the content that would be produced if AI

could read out your entire (public) Facebook profile and were able to use

this information for matching content.

In principle, it would suffice if retargeting were not used for advertising

but used for the targeted addressing of content. In content marketing, algorithms are more and more frequently taking over this task, which is neces-

sary for the targeted play out of the content as well. In addition, contents are

played out in an appropriate context (content recommendations). Instead of

one article for all, personalised content will be possible on the basis of AI,

and which are closely based on the reader’s respective range of interests. The

result of this is unique contents in the logic of mass customisation because

the AI knows their readers and responds in a personalised way. Everyone

receives their own personal content.

Comments

Customer Engagement with Chatbots and Collaboration Bots: Methods, Chances and Risks of the Use of Bots in Service and Marketing

Relevance and Potential of Bots for Customer Obtaining information, flight check-ins or keeping a diary of one’s own diet—all of this is possible in dialogue today. Customers can ask questions via Messenger or WhatsApp or initiate processes. This service is comfortable for the customer, available at all times via mobile and promises fast answers or smooth problem-solving. A meanwhile strongly increasing number of companies is already relying on this means of contact and the figures on chat usage speak in favour of this means supplementing or even replacing many apps and web offers in the future. The reasons for this are manifold. Figures of the online magazine Business Insider 1 reveal a clear develop- ment away from the public post to the use of private messaging services such as Facebook Messenger or WhatsApp. Facebook meanwhile has a user base of around 1.7 billion people worldwide; 1.1 billion people use WhatsApp, and Twitter can nevertheless still record 310 million us...

Robot Journalism Is Becoming Creative

Algorithms are able to automatically search the Web for information, pool it and create a readable piece of writing. In addition, data-based reports in the area of sport, the weather or finances are already frequently created automat- ically today. Recently, for example, merely a few minutes after Apple had announced their latest quarterly figures, there was a report by the news agency Associated Press (AP): “Apple tops Street 1Q forecasts”. The financial report deals solely with the mere financial figures, without any human assistance whatsoever. Yet, AP was able to publish their report entirely via AI in line with the AP guidelines. For this purpose, AP launched their corresponding platform Wordsmith at the beginning of 2016, which automatically creates more than 3000 of such financial reports every quarter, and which are pub- lished fast and accurately. It is no longer that easy to distinguish between whether an algorithm or a human has written a text. Another exception of rece...

A Bluffer’s Guide to AI, Algorithmics and Big Data

Big Data—More Than “Big” A few years ago, the keyword big data resounded throughout the land. What is meant is the emergence and the analysis of huge amounts of data that is generated by the spreading of the Internet, social media, the increasing number of built-in sensors and the Internet of Things, etc. The phenomenon of large amounts of data is not new. Customer and credit card sensors at the point of sale, product identification via barcodes or RFID as well as the GPS positioning system have been producing large amounts of data for a long time. Likewise, the analysis of unstructured data, in the shape of business reports, e-mails, web form free texts or customer surveys, for example, is frequently part of internal analyses. Yet, what is new about the amounts of data falling under the term “big data” that has attracted so much attention recently? Of course, the amount of data avail- able through the Internet of Things (Industry 4.0), through mobile devices and social media has ...

Tech & Fun

Search This Blog