Overcoming Pitfalls of Using ChatGPT or GPT-4 with Your Data 

A major challenge in the enterprise today is that decision-makers are drowning in data, yet paradoxically starving for insights. That's because analyzing data requires technical skills, and thus there is a dependency on IT and Data Analysts. Furthermore, there's a lack of trust in data because of data quality issues. Data & Analytics leaders are struggling to prove value to their organizations, according to a recent Gartner survey.

Since ChatGPT exploded on the scene, people are recognizing its potential to serve enterprise needs. Could ChatGPT and its underlying GPT-4 be used to interface with enterprise data? Watch this webinar recording to understand the potential pitfalls of do-it-yourself of with GPT-4 with your own data.