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Advantages and Pitfalls of Using ChatGPT or GPT-4 to Interface with Your Enterprise Data

How DvSum Empowers You to Extract Reliable Insights from Your Data with GPT-4

The challenge: easily extracting real-time, reliable insights from 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.

 

Advantages and pitfalls of using ChatGPT or GPT-4 to interface with your enterprise data

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? Here are some advantages and potential pitfalls:

Advantages
An easy chat interface
Automated analysis and reporting
Personalized recommendations
Pitfalls
Data integration
Accuracy and reliability of the data
Accuracy of the data within the specific context
User adoption
Data security: data access rights and protecting sensitive data

How is using DvSum different from a DIY approach with ChatGPT or GPT-4?

DvSum's "secret sauce" is marrying AI-powered chat with an automated data infrastructure that organizes data into a unified data catalog - complete with business glossary- and constantly ensures high data quality. Ultimately, that means you attain reliable insights from all your data and the fastest time-to-value. All with no technical skills required.

advantages and pitfalls of using chatgpt or gpt 4 to interface with your enterprise data

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