Irina Gutman

Or case qualification, when again, using a set of rules, AI would qualify and classify various cases for the service agent to work on. Now moving on to a generative AI. Again, the definition is in the name. It generates dynamic content.

Or case qualification, when again, using a set of rules, AI would qualify and classify various cases for the service agent to work on. Now moving on to a generative AI. Again, the definition is in the name. It generates dynamic content.

It still uses the data, but it is using natural language models to generate dynamic content based on the request or what we call as prompt or basically what you put in ChatGPT because ChatGPT is the most common example of generative AI.

It still uses the data, but it is using natural language models to generate dynamic content based on the request or what we call as prompt or basically what you put in ChatGPT because ChatGPT is the most common example of generative AI.

It still uses the data, but it is using natural language models to generate dynamic content based on the request or what we call as prompt or basically what you put in ChatGPT because ChatGPT is the most common example of generative AI.

I want to stop you right there and just make sure, because this is the LLMs. Generative AI is LLMs. So it's when we can ask a question and it can pull from many different sources where predictive was really, here's the box we want you to operate in.

I want to stop you right there and just make sure, because this is the LLMs. Generative AI is LLMs. So it's when we can ask a question and it can pull from many different sources where predictive was really, here's the box we want you to operate in.

I want to stop you right there and just make sure, because this is the LLMs. Generative AI is LLMs. So it's when we can ask a question and it can pull from many different sources where predictive was really, here's the box we want you to operate in.

Generative can go further than just a simple set of find me, for example, a sales lead that has this revenue in this industry with this number of employees. Okay, great.

Generative can go further than just a simple set of find me, for example, a sales lead that has this revenue in this industry with this number of employees. Okay, great.

Generative can go further than just a simple set of find me, for example, a sales lead that has this revenue in this industry with this number of employees. Okay, great.

Correct. Correct. You're absolutely correct. So now we're going to go one step further and talk about agentic technology, which is the topic of today's conversation. It sees the components of everything that we talked about before, but elevates it to the next level. It still has rules. It follows the rules, but it makes a decision how to act based on those rules.

Correct. Correct. You're absolutely correct. So now we're going to go one step further and talk about agentic technology, which is the topic of today's conversation. It sees the components of everything that we talked about before, but elevates it to the next level. It still has rules. It follows the rules, but it makes a decision how to act based on those rules.

Correct. Correct. You're absolutely correct. So now we're going to go one step further and talk about agentic technology, which is the topic of today's conversation. It sees the components of everything that we talked about before, but elevates it to the next level. It still has rules. It follows the rules, but it makes a decision how to act based on those rules.

It still uses data, but it uses the data to almost reason on what action to take and how to interact. And yes, it interacts to us based on the instruction we're provided with, but it uses natural language processing and converses with us in the natural language.

It still uses data, but it uses the data to almost reason on what action to take and how to interact. And yes, it interacts to us based on the instruction we're provided with, but it uses natural language processing and converses with us in the natural language.

It still uses data, but it uses the data to almost reason on what action to take and how to interact. And yes, it interacts to us based on the instruction we're provided with, but it uses natural language processing and converses with us in the natural language.

So to summarize, we still have rules, we still have data, we still have actions and instructions, but this agent uses this information to reason, to make decision, and to converse with us in natural language.

So to summarize, we still have rules, we still have data, we still have actions and instructions, but this agent uses this information to reason, to make decision, and to converse with us in natural language.

So to summarize, we still have rules, we still have data, we still have actions and instructions, but this agent uses this information to reason, to make decision, and to converse with us in natural language.