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Data Science is the discipline of making data useful — But How? Last Updated on January 14, 2024 by Editorial Team Author(s): Peyman Kor Originally published on Towards AI. It has been now more than one decade since Thomas H.
Navigating the Post-Pandemic Credit Risk Landscape with AI/ML Innovation Radhakrishnan G (Krish) | Vice President — Global Commercial Risk DecisionScience | American Express This session explored how the credit risk landscape evolved during the pandemic and the transformative power of AI/ML solutions in navigating uncertainty.
Radhakrishnan G (Krish) Vice President — Global Commercial Risk DecisionScience | American Express Over the course of his tenure at American Express, has held responsibilities in fraud and credit risk management teams across consumer and commercial portfolios globally.
Pedro Domingos, PhD Professor Emeritus, University Of Washington | Co-founder of the International MachineLearning Society Pedro Domingos is a winner of the SIGKDD Innovation Award and the IJCAI John McCarthy Award, two of the highest honors in data science and AI.
Machinelearning can take out the manual work and provide recommendations that make data accessible, allowing humans to think creatively and find deeper insights. Decisionscience is a new area that companies are exploring to help humans make smarter decisions.
They shore up privacy and security, embrace distributed workforce management, and innovate around artificial intelligence and machinelearning-based automation. Forward-thinking businesses invest in digital transformation, cloud adoption, advanced analytics and predictive modeling, and supply chain resiliency. The biggest surprise?
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