AI In Content Marketing

Right in social media articles and product descriptions might sound so much a routine for many people and companies, and this is where artificial intelligence a system can be very, very handy, which is called natural language generation technology Steven. There are many different artificial intelligence assistance in the market: todays some assistance, analyze data, analyze images, analyze documents, reports and your artificial intelligence. Ai assistant is writing. Content Ive got to even call it an assistant. I wouldnt call it a tool.

That allows that enables us to write stories to write narratives more efficiently and on scale, because if you think about this, we all produce content. Today like there was a time when there were journalists and writers. Today we are all content producers. We we post on Facebook and on Instagram, and we all write blogs, because we need to do this and we do this by, and this is hits me always as absurd by taking our fingers and pressing buttons. The same way, we did

This 200 years ago, when we invented the typewriter and there’s like no innovation since then, and what we did is we make the next step by using AI, to write or to offer a software that will actually write for you. You teach the Machine what to say, and then it writes for you, then, in social media because were right, as you say, numerous polls and articles it can help us write those

Blogs am I correct it can help. You write a new stream. We just released a version of it that creates third-party blog posts and news. The sites which one are those by analyzing keywords which on the ones that fit your topic and then packs the into story, and it says we found this interesting article about ABC and on that and that blog post here is a link and then it posted to Facebook and to

Twitter and it creates a curation and use curation forum for you fully automatically so does it mean lets say that if I wrote number of blogs and articles for the last couple of years, it can compile and write a book for me that I can publish well It probably could the the effort in teaching the Machine what to write would be too big. Im very often Im asked. Will this replace my copywriters and my answer is

No, it will not, it will enable them to do more interesting things. A typical use case for our software is product content, descriptions routine part, its a routine part, its a very boring part. Imagine you would have to write copy for fifteen thousand different car tires that’s. Nobody wants to do this. I would run out of things to say after the car tire

Number three, but this needs to be done and in e-commerce it probably needs to be done in multiple languages. So, if you have to write copy for fifteen thousand car tires in twelve different languages, this is a lot of work. This takes a lot of time. It costs a fortune and, by the time made me with car, tires its better, but with electronics or fashion by the time you’re done. Most of those products are not in your store. Anymore will be very, very handy for Nestle a protein gamble where they have multiple

Model, yes, yes, pardon descriptions, yes and theyre global companies – and you mentioned about the languages how many languages can we are very proud. We have currently one hundred and ten languages. Ive got to be honest with you, nobody needs 110 languages. We just did it because we we can and to prove a point. We have even like languages that youve never heard of like Church Slavonic. Okay, Ive never heard of it, because we have very, very smart people. Computer

Linguists and and scientists working on this, actually we used machine, learning and AI to develop parts of our software and to implement all the grammar AI for those 110 languages. Well, lets be honest. As we know, its language is a very different Russian and different. The structure itself is different. German structure of sentence is very different from English, so how its kind of grasping

That different construction of the sentence – this is this is the part where, where, where the AI hits in our a I supports the the user in terms of grammar in terms of syntax. So English is English, is a language that doesnt have a lot of grammar. If we are honest, if you look at languages like finished and has 16 different cases – and I dont know mind how many genders its a one of the most

Complex languages on the planet, but I example I like to make is, if I have a database of events and Im teaching the Machine, how to do events, how to describe events, and there are saying rock concerts and there’s a rock concert in London and on the Island of man, you have the preposition in London because its a city and on an island because its an

Island, ok, the AI would know. Oh, this is an island. I need to change the preposition. This is a very small example in a fairly simple language. Like English, it gets more complicated in languages like polish or Finnish or Hungarian, its again easy in Mandarin, but and honestly speaking, lets say. Oh, we have some articles written by artificial intelligence by you, your assistant home. Whatever you call what software does, it still need a certain human touch after editing or scanning. Absolutely absolutely nonsense.

Absolutely its not replacing the copyrighted its doing this that nobody wants to do. Nobody wants to ride for weather reports a day, and we are writing them only for the whole country, because we dont have the capacity to write them for 40,000 different cities with our software. You can have a weather report for every town for every village, for every city give a second structure. Yes, and this you know this. This leads. We just won a journalistic award of the Stuttgart na-1 award for air quality reports. 400.

Different places when they measure air quality, nobody can write three reports per location a day that would be 1,200 narrators per day. A machine can, and now it means for the people in that part of town and that borough in that village they can see in the morning what the air quality in their neighborhood – and this is this makes data, I would even say,

Democratic because now data is accessible. Who is your ideal? Avatar, your its industrial companies or consumers? What we see traditionally, we see three use cases. We see ecommerce and I mean in the broader sense, product description, travel industry. One of our customers have not allowed to name them has just recently outperformed Airbnb, just by using AI driven content in the

Description of locations of hotels of flight connections and so and so forth, theyre just more visible on Google. Another sector is what is some called called: Robert journalism weather report stock market reports, everything that is based on data, and that is repetitive and the third part is business reports, making sense of business data explaining business data to different stakeholders to the board of directors. To the

Investors, the bottom line: it takes certain volume right by the structure, set certain routine of the human hand, so that you can still stay with your stories. Helen telling stories is something that is very, very very human, and only humans can do this. Thank You Minh and have those software help us in a routine time? I will Thank You. Steven

Thank you for thank you for having me thank you for watching this interview with Steven Mauro from ax semantics and stay tuned to our next episode of inside tomorrow, with Elena