The Benefits of Crossing Disciplines in Artificial Intelligence

Posted by Steve Krawczyk on May 8, 2018

Steve Krawczyk, Director of Research & Development, Accelitas

At Accelitas, we’re dedicated to providing businesses with predictive insights that grow profitable accounts while reducing risks. And when it comes to the data analytics that deliver these insights, we believe in using the best tool for a job. To determine the best tool, you need to have well-rounded knowledge spanning multiple disciplines. It’s not sufficient simply to rely on one’s own area of expertise, even if that expertise includes PhD work. Work at the PhD level almost always requires specialization in a narrow topic within a single discipline. That tight focus is great for making incremental advances in a field of study. But it’s all too easy in post-graduate work to fall into the trap of keeping that tight focus when trying to solve the broad, highly varied range of problems that arise in the real world.

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Tags: Machine Learning, Artificial Intelligence, lending, linear model, interpretable results

Improve Lending Decisions with Machine Learning

Posted by John Bennett on November 27, 2017

Machine Learning enables computers to recognize patterns and take actions without first being programmed with built-in directives to do so. Machine Learning software “learns” through exposure to data, automatically refining its own ability to recognize and respond to patterns.

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Tags: Machine Learning, lending, white paper

6 Lessons from the 2017 EMERGE Financial Health Forum

Posted by John Bennett on June 27, 2017

We attended this year’s EMERGE Financial Health Forum in Austin in mid-June. This conference, hosted annually by the Center for Financial Services Innovation (CFSi), has long been a major platform for sharing research and addressing trends in consumer finance.

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Tags: EMERGE Forum, Financial Health, mobile account opening, Machine Learning

Lessons from Finovate 2017

Posted by John Bennett on May 22, 2017

At this year’s Spring Finovate conference in San Jose, California, the consensus among attendees seemed to be that this year’s event was interesting, but hardly groundbreaking. The presentations from roughly 60 companies were mostly developments and refinements of ideas that had been presented in earlier conferences.

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Tags: Financial Services, Finovate, Machine Learning, mobile banking, lending, API, Employee Efficiency

Beyond Big Data: Digital Transformation Comes to Financial Services

Posted by John Bennett on April 5, 2017

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Tags: Big Data, Machine Learning, Financial Services, Digital Transformation

LendIt 2017: The Time for Machine Learning Is Now

Posted by John Bennett on March 10, 2017

Photo Credit: LendIt USA

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Tags: Machine Learning, lending, Big Data, LendIt USA