Pedro Fonseca, CEO & Head of Data Science @ James by CrowdProcess participates in Risk Roundup to discuss Credit Scoring using Machine Learning.
Credit Scoring using Machine Learning
Is human intelligence still the most meaningful form of intelligence that can be effective in managing complex industry risks?
As the digital global age grows in scale and complexity, there is an increasing concern that manual business practices, that are driven largely by human intelligence, are no longer sufficient to effectively perform complex industry tasks on their own, in a timely and cost-effective manner; nor are they effective in managing complex interconnected and interdependent industry risks.
There are numerous reports emerging from across nations that machine learning has convincingly penetrated complex business processes across many industries. From credit lending to credit scoring and robot control to remote sensing, thousands of machine learning applications have already been getting deeply embedded across complex business processes. These are just some examples and it is just the beginning.
As we take a step forward in our digital global age journey, entities across nations: its government, industries, organizations, and academia (NGIOA) will surely need to go beyond basic tasks and processes like computing data and collecting metrics to developing more intelligent algorithms to strengthen some of the most important interconnected and interdependent operational, tactical and strategic technologies, processes and initiatives. Independently and collectively, this will likely impact and change not only technology and processes; but also, business, management, and governance models.
Intelligent machines are here, and the question is whether we the individuals and entities across NGIOA are prepared for what is to come…
Time is now to talk about Credit Scoring using Machine Learning!
For more please watch the Risk Roundup Webcast or hear the Risk Roundup Podcast
About the Guest
Pedro Fonseca is the CEO & Head of Data Science @ James by CrowdProcess. He is currently working on James, CrowdProcess’ flagship product in the Financial Industry, for the credit risk space. (http://www.james.finance/).
CrowdProcess is a data science company, in the credit risk space. It has recently been considered the Best European Fintech at the prestigious Money2020 conference, for its risk product: James.
The company’s flagship product, James, is software for risk departments to build in-house scoring models using machine learning. James combines advanced scientific computing and machine learning algorithms with a business-friendly interface, specifically designed for the risk officers of mid-tier banks and credit institutions. It allows risk officers to build, test, and validate credit scoring models and comes equipped with the best Machine Learning algorithms, techniques, and validation methods.
About Risk Group
Risk Group is a leading strategic security risk research and reporting organization.
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