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Automate external data discovery and enrichment for more accurate predictive models.
AI vs BI is an often debated topic but there's no mistaking the fact that with predictive power, AI is going to change business intelligence. BI can help you start making sense of your data, but it still expects you to do the heavy lifting when it comes to finding insights. Building predictive models that can cut down your decision time and offer better insights is a must, but achieving them sounds impossible.
So, why are we still hung up on BI? It’s time to embrace a paradigm that empowers us to make smarter, better predictions using real data. With machine learning leading the way, data science is quickly making BI obsolete.
This AI vs BI whitepaper covers:
Automate external data discovery and enrichment for more accurate predictive models.
It's time to take feature generation - a subset of feature engineering - from an art to a science by opening up additional data sources to achieve breakthroughs in predictive models.
This complete guide breaks down data acquisition into six steps, including data provider due diligence and data provider tests to uplift your model's accuracy.
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