B2b Nation

ChatGPT and other generative AI tools that create content are capturing a lot of attention. But content is only one application of generative AI. It can generate just about anything in terms of data. Getting AI and machine learning projects off the ground remains a significant hurdle for many businesses. One of the biggest obstacles companies face is access to the datasets they need to properly build and scale their machine learning models. Let’s say you work at a financial institution and you want to use machine learning to improve customer service or help introduce cross-sell and up-sell opportunities. Because of the sensitive nature of customers’ financial information, training the tech on real data isn’t a good idea. That’s where synthetic data comes into play. MOSTLY AI generates synthetic data that looks and acts just like an organization’s real data. It can be used to train machine learning models, so they can work with seemingly real data without introducing additional risk. On this episode of th