How Risk Managers Use Real-Time Data to Restore Confidence in Predictive Models

Presented by

Maor Shlomo, CEO, Explorium and Victor Ghadban, Chief Field Data Scientist, Explorium

About this talk

Lenders rely on machine learning models using accurate data for risk assessment. However, with COVID-19 rendering this once reliable data useless, time-intensive manual processing might seem like the only way forward. Or is it? Register today to attend a live webinar on how augmented data discovery and timely risk signals can save you hours of manual processing. Join industry experts Maor Shlomo, Explorium CEO, and Victor Ghadban, AI/ML Evangelist and Chief Field Data Scientist, to better understand: * How to stop manual processing and return to automated decision making * Where and how to access timely and accurate data to mitigate risk * How to switch back to using machine learning models Our panelists will also discuss how combining a wide variety of trusted industry-standard data sources and proprietary algorithms can provide you with reliable insights for: * Company signals - including online and offline revenue channels and the company's response to COVID-19 * Industry signals - automatically identify a company's industry and consider the impact of COVID-19 * Location signals - measure vulnerability, response, and footfall traffic by location
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Explorium transforms the way organizations find and acquire data for their machine learning (ML) models. The platform removes the need to spend significant resources and time finding data that works by offering instant access to thousands of relevant external data sources and distilling the most impactful features for each business use case. A unique combination of capabilities and an innovative approach to data acquisition make Explorium’s platform the first of its kind in finding external data. Visit to learn more.