User: Created page with "The use of predictive risk intelligence through the combination of Artificial Intelligence (AI) and Big Data is reaching new hor..."

2021-04-08T18:43:19Z

Created page with "The use of predictive risk intelligence through the combination of Artificial Intelligence (AI) and Big Data is reaching new hor..."

New page

The use of [[Predictive Risk Intelligence (PRI)|predictive risk intelligence]] through the combination of [[Artificial Intelligence (AI)]] and [[Big Data]] is reaching new horizons, alternatively known as '''Smart Information Systems (SIS)'''. SIS are widely used to provide intelligence in many areas predicting [[Risk|risk]], such as [[Supply Chain Management (SCM)|supply chain management (SCM)]] (Bendoly, 2016), sustainability (Kant & Sangwan, 2015), medicine (Williams et al., 2018), finance (Xia, Liu, & Chen, 2013) and insurance (Baecke & Bocca, 2017). All these approaches involve the use of advanced [[Machine Learning|machine learning]] techniques that [[Data Integration|integrate data]] to deliver predictions of risks affecting the critical elements of enterprises and communities.<ref>Definition of Smart Information Systems (SIS) [https://www.researchgate.net/profile/Tilimbe-Jiya-2/publication/333781317_Ethical_Implications_of_Predictive_Risk_Intelligence/links/5d66b0c3458515b5b42086b0/Ethical-Implications-of-Predictive-Risk-Intelligence.pdf Tilimbe Jiya]</ref>

Smart Information Systems (SIS) - Revision history

User: Created page with "The use of predictive risk intelligence through the combination of Artificial Intelligence (AI) and Big Data is reaching new hor..."