Blog: AI

As AI increasingly becomes a standard part of business, the way that these machine learning models are trained is coming into question. Data privacy is the primary concern, as users essentially have the capability to input any information they like into an AI tool and have it generate a result. Even OpenAI, the brains behind ChatGPT, acknowledges these limitations and concerns and is working to resolve them.

OpenAI has an entire page dedicated to API data privacy, wherein they promise that protecting valuable user data is “fundamental to our mission. We do not train our models on inputs and outputs through our API.” However, that doesn’t mean that all the risks of privacy and other concerns magically disappear just because they’re acknowledged. In fact, that makes it even more important for you to understand what risks are present with the GPT-4 API and OpenAI updates that are being made as a result.

Artificial intelligence is doing wonders for the world around us. Unfortunately, it’s also changing the way we do a lot of things, including how we secure customer data and personal information. While AI has enhanced data management to a certain degree, it has also created its own concerns for data security, as highlighted in the saga of ChatGPT.

Everyone’s talking about AI and all the ways it can help businesses improve efficiency and streamline processes in ways like never before. However, the clarity of exactly how AI fits into an organization is often lacking, which has led to slow adoption for the most part.

Every business faces challenges. That’s particularly true when it comes to customer communication. Sometimes, just answering phone calls can seem like an insurmountable hurdle. The good news is that AI-assisted virtual receptionists can help.

A large language model (LLM) uses artificial intelligence to perform natural language processing tasks. Learn how you can utilize this AI tool.

Discover how AI-based call centers support lead generation for small business owners. Learn about features, benefits, and real examples.

Conversational AI is a form of machine learning software that imitates human conversation to naturally answer and solve customer inquiries.

Interactive voice response (IVR) is a call answering system that allows businesses to route callers, provide information, or answer caller questions without a live agent.