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The case for generative AI in business is strong. Like its sibling conversational AI, this tool is all about taking advantage of all that data floating around out there to enhance the customer experience and deliver a better solution. But what’s the difference between generative and conversational AI? And how can you put generative AI to work for lead generation?

Voice bots are changing the way companies handle customer service. Today’s intelligent bots are designed to interact with customers and provide a more natural experience. They utilize machine learning to train themselves on how to simulate natural conversation, analyzing droves of data to deliver a contextually accurate, personalized response.

The battle of the bots is upon us. Outdated systems like automated callers and IVRs are challenged by AI tools like voice assistants and chatbots that can not only deliver that automated service but do so in a personalized manner. For most people, it’s clear that the new AI voice assistants are a much better option than previous tools that are still being used by many. For others, it might be more confusing if you don’t know much about AI or how all this tech-savvy communication works.

When you hear about ChatGPT and other AI tools, you often hear about the vast amounts of data that they can cultivate and utilize. But where does that data come from? There are a few different sources, depending on the type of AI tool you’re using and what kind of information is relevant. Understanding this can help you see all that you can gain from AI when you use it correctly.

Customer service has always been an ever-evolving effort to perfect the customer experience. Almost all of us have had at least one frustrating experience with phone-based customer service, if not more. And then companies try to solve the issue with IVRs, which only fight half the battle.

With the growing popularity of AI tools like ChatGPT, businesses are starting to take notice of how artificial intelligence can improve several aspects of their operations. Conversational AI has a promising future. Moreover, it’s already helping businesses make changes and process improvements. One big focus is the use of AI in the customer experience.

Voice bots are changing the way that companies handle communications and customer service. Technology has come a long way from the outdated interactive voice response (IVR) systems of decades past. The modern AI voice bot can train itself to understand and respond contextually to questions and queries of all kinds, making it a virtually unstoppable asset for your communication strategy.

Put simply, NLP is what helps AI figure out what the “right response” is when engaging with customers. There are several benefits that come from employing a capability like this as part of your customer service and support. Most commonly, you’ve probably seen natural language processing in action in the form of chatbots.

AI is quickly finding its place in almost every business and industry, offering a variety of ways to boost performance and get more done in less time. There are several types of artificial intelligence in use, including generative AI. Understanding this technology, as well as how it can be best used, makes all the difference.