Generative AI vs. other types of AI

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Generative AI differs from other types of artificial intelligence and machine learning in that it doesn't rely on explicit instructions to generate text and other types of content. Instead, it learns by analyzing patterns in the original data.

However, many AI tools have been developed to accept human commands. ChatGPT, for example, is a conversational AI application that responds to user questions and requests.

In the following example, we asked ChatGPT to summarize our article on what is machine learning , highlighting its three main points.

ChatGPT Generative AI


Before we move on, here are the key generative AI terms you should know:

Artificial intelligence (AI)

A general category of software that mimics human intelligence by analyzing information and achieving different results.

Machine learning

A type of AI that uses algorithms to analyze a collection of generalized data, learn from it, and improve its predictions.

For example, an anti-spam email filter learns to separate harmful messages from legitimate ones based on content and feedback patterns by accessing learning models.

Deep learning​

A type of machine learning that uses two (or even more) artificial neural networks to mimic the human brain and make more robust predictions.

For example, speech recognition applications can understand spoken words by analyzing data from thousands of qualified examples.

Natural Language Processing (NLP)

Research and development area within artificial intelligence that makes human language accessible to computational processes.

Predictive text is a simple example of natural language processing in action.



How can generative AI help your sales organization?
With generative AI, we can create many different possibilities, which is why it has become increasingly popular and offers interesting benefits for businesses.

According to McKinsey, 90% of business leaders believe they will use generative AI solutions “frequently” in the next two years.

While the potential of this technology is vast and complex, marketers can benefit from it in three main ways.

Personalize the customer experience
Generative AI enables marketers and salespeople to tailor their content and customer interactions based on individual preferences, behaviors, and past interactions.

For example, chatbots analyze large amounts of data and share ios databaserecommendations, messages, and personalized offers in real time, without the need for human labor.

This process allows companies to offer a more personalized and engaging customer experience without overwhelming customer service teams . As a result, they can increase satisfaction , loyalty , and conversion rates.

Increase productivity without compromising quality
Generative AI tools simplify repetitive tasks, helping sales teams and marketers do more in less time, without sacrificing quality.

Some of the tasks you can automate and simplify with generative AI include:

Generate images and reports

Make a sales plan

Create cold emails, proposals , and even a sales pitch

Imagine the following scenario: You've used Pipedrive's AI-powered sales assistant tool to generate insights from processed sales data, saving you hours of work that would have been spent manually analyzing it.