It seems that only the lazy have not written about the impact of AI on the work process. Let’s not speculate on what awaits us in the future and whether artificial intelligence will replace people, but tell you what tasks we solve with artificial intelligence its help today.
Generating images and texts
These are indeed the most common tasks indonesia whastsapp data that the neural network copes with perfectly. But there are nuances.
To get a good text at the output, it is necessary to feed the artificial intelligence a lot of input: a description of the target audience, project goals, show examples of good posts. Therefore, for each project, it is better to create a separate branch with AI, in which it learns to write and perform tasks for a specific client.
At the start, you will have to spend about half an hour to feed everything necessary, but after a while, you will start to get texts that do not need much editing. The situation is more complicated with visuals. Since we work with brands, and they have their own strict design, we cannot deviate from it.
It is not yet possible to teach the neural network to generate images in the client’s style, but it helps a lot in projects where the client has run out of photo banks or did not have one initially. AI is able to create artificial intelligence images that are more lively and emotional than pictures on a photo stock, and all we have to do is correctly fit the product into them.
Analytics
Since we always need to keep the will before a notary our finger on the pulse, we constantly receive various types of research: by industry, by social networks, by consumer demand, etc. Most often, global research is very voluminous, and it takes a lot of time to delve into it. In addition, human abilities are not unlimited – it is physically impossible to remember the dynamics of all indicators in all studies. But remembering where they are stored is another matter. Therefore, when we start developing a strategy, we open and its knowledge base on the computer. In a matter of seconds, the neural network makes a brief summary and is able to answer any question about the file. True,answers in English, so in each artificial intelligence request you have to write “answer in Russian”. But it seems easier than rereading a mountain of data yourself.
Study of target audience
There are many possible actions here, but in general, each of them significantly speeds up the work process. If the client or we have a clear understanding of the target audience segmentation and there is no need to reinvent the europe email wheel, then we simply feed the data into the neural network, add knowledge about the product on top, and as a result, we can ask to describe at what stage of the sales funnel the target audience may be and what communication tasks the brand should solve. After that, we can generate a content plan directly in the table and break it down into categories.
But what to do when there is no such data? AI will come to the rescue in such a situation. We upload information about the product, and then ask the neural network to describe the target audience. After that, we match it with the knowledge that we have, and in 99% of cases everything matches. Well, the further plan of action is describ above.
Voice messages
Neural networks are capable of voicing text, and we try to use this in our work. For example, we made a commercial proposal for a client, where we said that we needed a mascot to establish an emotional connection between the brand and consumers. And when the client was watching the presentation, on the slide with the mascot, he spoke and introduced himself to the client. Did they like it? Of course!
This functionality also helps at networking events, when you need to quickly introduce yourself and get acquainted. For example, there are audio business cards that our corporate Varya reads. And in 2 minutes you can not only introduce yourself, but also be remembered.
What to cook?
AI can generate a huge number of ideas and solutions, help in creating strategies and implementing them, and be indispensable in studying statistical data. But the best function that every working woman will appreciate is the “figure out what to cook for dinner and make a grocery list” function. Jokes aside, don’t forget that AI can unload you not only at work, but also at home, leaving more time for yourself and your loved ones.