Investment funds and companies are investing heavily in artificial intelligence, but the reality is that they are not very clear about what uses they will give it. The goal is to be the first.
I recently wrote an article trying to calm things down regarding artificial intelligence , but I want to reflect especially on companies.
Artificial intelligence has come to intensify, even more, the widespread tendency to want everything now, at a good price and with good quality. The famous good, pretty and
telegram usa number cheap that we have wanted so many times and so rarely achieved.
In this sense, I like, as always, the approach and data that Tom Fishburne provides on the relationship between generative artificial intelligence and businesses.
According to data from a Salesforce study , a curious paradox is occurring:
67 % of IT managers are or have planned projects related to generative artificial intelligence in the next 18 months and consider them one of the main priorities,
But on the other hand, 59% think that the results they obtain are inaccurate.
and 79% are concerned about security.
That is, they are accelerating projects while trying to define their usefulness and benefits.
Generative artificial intelligence is coming to businesses whether we like it or not
It is clear that despite these initial problems, generative artificial intelligence will eventually become part of our daily lives in one way or another.
We must create the framework where we can carry out the necessary tests to find the real value contribution for our business, without putting its operation at risk.
I am thinking especially of large companies, as I see this approach as a distant prospect for SMEs (especially the smaller ones). They still have problems understanding and correctly applying some of the most basic topics of digital marketing.
For this reason, I believe that the most appropriate approach for companies is to move forward and experiment until they find what really adds value to them. In my opinion, we are not there yet.
We are at a time when we are looking for processes to automate, but just because it can be done doesn't mean we should implement these automations. At the moment, these tools are not able to provide or understand the emotional part, nor generate content of sufficient quality.
I bet even if he had the perfect prompt, ChatGPT couldn't have written the article you're reading.