Using AI to produce
Artificial intelligence is only as good as the data that feeds into it. BlockDrive assisted a commercial client handling financial transactions to scrub its data so it could produce meaningful business intelligence by making sure it was comparing apples to apples.
What we provided
Predictive analysis relies on good data.
Companies in the business of financial transactions rely heavily on predictive analysis, which in turn relies on two key things to be effective – unified data and artificial intelligence. These businesses receive data from multiple clients and locations so the first challenge is ensuring quality data so it can all be analyzed together. That ensures the predictive analysis produced by the AI is accurate and meaningful.
High quality data produces meaningful outcomes.
You can’t produce meaningful results if you’re comparing apples to oranges. BlockDrive ensured the customer was comparing apples to apples by building standardized data models that created standardized data, no matter the source. Our catalogue of advanced artificial intelligence models can help any organization in any context of data issues to ensure meaningful insights.
Replacing manual labor with artificial intelligence.
The BlockDrive platform removes the manual work and human labor that is often necessary to prepare data for artificial intelligence. Instead of the time consuming costly and sometimes inconsistent effort to prepare data, the business can focus on using AI as a service that drives real data quality results.