Seventy-seven percent of business decision-makers recently reported that they fear missing out on the benefits of generative artificial intelligence for their companies. Not wanting to be left behind, many companies are moving full steam ahead. They hope to take advantage of the benefits AI promises, such as faster decision-making, increased operational efficiency, and improved customer satisfaction. But are they ignoring data preparation and moving too fast?
There’s a risk in launching AI projects without making sure your organization is ready. In fact, new research shows that good data preparation is the single most important action you can take if you want to successfully implement generative AI. That’s because if you train your AI models with deficient data inputs, the results will lead to inaccurate outputs.
To understand how and why that happens, we’ve outlined three hypothetical use cases of both effective and ineffective data preparation and the impact on AI
Leave a Reply