When implementing your AI projects for business needs, large and highly accurate datasets are prerequisite. However, to gather data from the real world is often found as time-consuming and costly. To address this challenge, an alternative solution of training data resource is synthetic data, which comes in handy.
What Is Synthetic Data?
Synthetic data is artificially created in the digital world through algorithms. Interestingly, in order to train machine learning models, the synthetic data mimics real-world data behavior and interactions to achieve “clone” records. According to Gartner prediction, although synthetic data accounts for only 1% of the whole data market, it will grow to 10% by 2025 and will become the direction of the prevailing wind in AI industry by 2030.
Benefits of Synthetic Data
You can use synthetic data to match certain conditions where real data are not applicable. Scroll down to unlock these key benefits:
-Ensure high-quality and accurate data through automation
-Reduce your cost
-Accelerate data collection
-Not exposing personally identifiable information (PII) and eliminate sensitive data leakage
Our Solutions of Synthetic Data
Numerous clients choose ECI as their reliable AI data service partner. ECI endeavors to satisfy the diversified client requests. As you can check the project image below, we supported a well-known international company to generate the images by Generative Adversarial Networks (GANs) to train its 3D modeling algorithms. If you are still looking for a tailored solution for your business needs, contact us via inquiry@ecinnovations.com
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