Count on good curation and ready-made ML models, design communication flows, understand and use consumer language, identifying patterns to generate new insights and boost your business's revenue.
Count on good curation and ready-made ML models, design communication flows, understand and use consumer language, identifying patterns to generate new insights and boost your business's revenue.
Effective data curation is critically important to ensure that machine learning (ML) and artificial intelligence (AI) training are prepared for processing. By ensuring that data is properly tagged and categorized, data curation can help AI scientists and developers validate diversity in data training.
In other words, Curation makes data more interpretable and reliable, to improve the customer experience and improve strategic decisions in each sector.
The Reach Platform optimizes the pre-processing stages of the data management lifecycle to help ensure data integrity and usability. Using AI and ML, it validates metadata and organizes insights into the right repository.