10 realistic business use cases for ChatGPT – TechTarget
In the rapidly evolving landscape of AI and natural language processing, ChatGPT has emerged as a powerful tool with myriad potential applications.
Lists of creative and imaginative use cases for generative AI tools such as ChatGPT abound. But in a corporate context, it’s crucial to determine the most pragmatic and pertinent applications for specific business needs.
Explore the importance of accurately assessing ChatGPT’s capabilities, compare OpenAI’s ChatGPT Enterprise plan with the free version, and review practical use cases that could benefit businesses.
ChatGPT is a language model that generates text based on the input it receives. It can provide coherent responses and simulate humanlike conversations. However, it’s not infallible, and it occasionally produces biased or inaccurate content, in part because the model was only trained on data through September 2021.
In addition, ChatGPT’s training data was not fact-checked, and the model can generate responses to users’ questions even if no factual information exists — a phenomenon known as hallucination. Also, because the data is not curated, it often contains biases that won’t necessarily align with business or client priorities.
Together, these limitations mean that organizations need to be judicious in their use of ChatGPT. This is particularly the case for applications that involve inputting sensitive information or using the model in important decision-making processes.
As of August 2023, OpenAI offers a ChatGPT Enterprise version for businesses alongside a free version and a Plus version available to consumers. Understanding the differences between these options is essential for enterprises to make an informed decision.
Before implementing ChatGPT, organizations should explore the most pragmatic use cases within an enterprise setting.
Data from public sources is still subject to biases and factually incorrect or out-of-date information. Consequently, AI content generators are best used as frameworks for ideas under the control of a domain expert. Although these tools can generate interesting ideas and consolidate information, they require supervision by a human user who can understand the context and assess the results.
How and why businesses should develop a ChatGPT policy
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