💾The Power of Data

PredictoAI uses a wide arrangement of data sources, integrating them into a robust data pipeline. This "pipeline" starts with raw data collection, where we tap into on-chain data from public ledgers, trading volumes from various exchanges, global economic indicators, as well as real-time social media sentiment.

Our data integration framework is designed to be scalable and fault-tolerant, using technologies such as Apache Kafka for streaming large volumes of data efficiently.

Once ingested, the data undergoes a normalizing transformation, making it format ready for analysis. Furthermore, various data inconsistencies, missing values, and other erronenous indicators, are streamlined into the pipeline as risk-factors. This comes into play later, when the data pipeline leverages distrubuted computing frameworks such as Apache spark to handle this preprocessing at scale, ensuring our models receive high-quality data inputs.