Collecting Sufficient Amount of Data: How to Improve Model Performance (2)
Table of Contents
Have you started introducing AI, which is directly related to corporate growth?
The adoption of AI technology has proven to be highly beneficial for companies. 77.8% of companies that introduced AI technology rated it as helpful for management and performance. Among AI-introducing companies saw their sales increase by an average of 4.28% after introducing AI. The workforce also increased by an average of 6.8%.
![Companies worried about introducing aI](https://cubig.ai/Blogs/wp-content/uploads/2024/01/GettyImages-1432101415-1024x768.jpg)
Therefore, AI technology is expected to have significant ripple effects on businesses, such as increased employment and revenue. However, despite the positive outcomes in terms of revenue improvement from companies that have adopted AI, the adoption of additional AI technology is still hesitant and rare.
Collecting Data for Implementing AI Technology
According to the Korea Development Institute (KDI), a survey conducted on companies that have adopted AI revealed that “data scarcity” is identified as the biggest challenge in implementing AI. It is difficult to find good data for developing AI models.
So, how can you gather sufficient data?
First, Understand the company’s situation:
- Consider the type of data needed and the specific model you want to create.
Second, Check internal data:
- See if there is any data available internally. Consider whether this data can be directly utilized or if collaboration with data-related companies is needed to transform it into the required format.
Third, Utilize external data sources:
- Utilizing government public data can be one approach. Many governments have opened up public data for the advancement and utilization of AI technology. Alternatively, you can purchase the necessary data from data marketplaces. It can be a good option depending on your budget.
Finally, Verify data quality:
- When collecting data, it is important to not only focus on quantity but also data quality. Gathering high-quality data in sufficient quantities is crucial.
![collecting data in corporate that will introduce AI](https://cubig.ai/Blogs/wp-content/uploads/2024/01/GettyImages-1253415446-1024x1024.jpg)
Are you considering implementing AI and wondering about data acquisition? You can secure data through Cubig.
You can request and receive the desired data. By transforming it into synthetic data, you can obtain even higher-quality data. Secure data with Cubig and enhance your company’s performance!
If you found this article interesting, please give this one a read as well!