Are you thinking about using generative AI for your business ? This technology is gaining a lot of popularity in recent years following the launch of ChatGPT .
Companies across all sectors are beginning to explore this technology to improve their businesses. Leading consultancies such as Gartner have already studied the impact of generative AI on business and have found that this technology is transforming various operational and strategic aspects. In this sense, they show a widespread positive impact on competitiveness and business performance.
One of the areas where its full potential is being exploited the most is in marketing and sales .
The basics of understanding generative AI
Generative models, after analyzing a large number of examples, learn and use that information to create something completely new, hence the term "generative." These models primarily identify patterns in the data provided and then generate novel content.
Trained on vast amounts of text, these language models can predict the next word in a sequence, generating coherent and contextually appropriate texts. This is especially useful in marketing , where creating engaging and relevant content is very important. Generative AI ’s ability to produce new and creative content makes it a powerful tool for optimizing processes and improving customer engagement, explaining its growing adoption in the business world.
One way to improve a language model is to train it with more data, similar to how humans learn. More sophisticated generative AI models , such as extended language models, improve their ability to generate coherent and relevant content.
Extensive language models, the basis of advanced generative AI
Large language models, also known as "LLMs" , fall into the category of generative AI and can create natural-looking text. Additionally, these models can generate other types of content such as images, audio, or video, combining different types of data to produce varied and complex results.
LLMs are based on machine learning and have been trained with huge amounts of data, allowing them to learn complex statistical relationships from human language. The more data used to train them, the better their results are, allowing them to perform tasks more accurately and effectively .
Generative AI in our most everyday situations
Today we already have language models that help people in their daily lives. These are the ones you can see in Gmail's 'Smart Compose' or 'Smart Reply'. For example, every time you talk to Gemini , you are also using a language model.
For an IT company like yours, these models can be used in automated technical support, where an advanced chatbot can resolve common technical queries from customers, optimizing the time and resources of the support team.
Additionally, in sales, generative AI can personalize customer communications and create offers and recommendations tailored to their specific needs to increase the effectiveness of marketing campaigns and improve conversion rates.
Finally, in marketing, these models can generate relevant and attractive content for social networks and blogs , ensuring a constant and coherent presence on digital platforms. This allows generating leads that become potential customers to increase sales opportunities and increase revenue to the maximum.
Do you want to start taking advantage of the full potential of generative AI in your business? At PGR Marketing & Tecnología we are here to help you achieve this.
