[vc_row css=”.vc_custom_1538637735250{padding-top: 0px !important;padding-bottom: 0px !important;}” el_class=”single-post”][vc_column][vc_column_text el_class=”single-post-content” css=”.vc_custom_1542614074689{margin-bottom: 25px !important;}”]A large global resources company wanted to reduce its exposure to counterparty credit risk (and reduce the time it takes to make decisions by making them more objectively). Finance deployed an AI predictive model that pulled information from a variety
Preventing Over Analysis
[vc_row css=”.vc_custom_1538637735250{padding-top: 0px !important;padding-bottom: 0px !important;}” el_class=”single-post”][vc_column][vc_column_text el_class=”single-post-content” css=”.vc_custom_1542614074689{margin-bottom: 25px !important;}”]A large global resources company wanted to reduce its exposure to counterparty credit risk (and reduce the time it takes to make decisions by making them more objectively). Finance deployed an AI predictive model that pulled information from a variety
Strategic & commercial
[vc_row css=”.vc_custom_1538637735250{padding-top: 0px !important;padding-bottom: 0px !important;}” el_class=”single-post”][vc_column][vc_column_text el_class=”single-post-content” css=”.vc_custom_1542614074689{margin-bottom: 25px !important;}”]A large global resources company wanted to reduce its exposure to counterparty credit risk (and reduce the time it takes to make decisions by making them more objectively). Finance deployed an AI predictive model that pulled information from a variety