The Decision Maker

Collaborating for Analytics and Shared Data Applications with Paul Ablack via CUbroadcast [VIDEO]

Posted by Mark Portz on Jun 29, 2018 2:16:00 PM

 

 https://vimeo.com/276979398 

Paul Ablack, CEO, OnApproach, had the chance to catch up with Mike Lawson of CUbroadcast last week at the NAFCU 51st Annual Conference & Solutions Expo. The conversation covers topics from evolution of A.I., digital transformation, a collaborative data lake for the credit union industry, platform analytics, data encryption, cyber security, peer benchmarking, and shared applications on the CU App Store community.  

As a part of the discussion, Paul Ablack explained the progress of the collaborative online analytics marketplace, the CU App Store. In the conversation, Paul explains that, "[OnApproach is] going to build a community around the CU App Store, where credit unions can come in, they can contribute content, and they can comment on the content. Let's say someone puts a really good marketing segmentation report [on the CU App Store], others can build on it, can make it better, they can comment, and place reviews.

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Topics: Video, CUBroadcast, Artificial Intelligence, Digital Transformation, CU App Store, Encryption, Security, Cybersecurity, Collaborative Analytics

Robo-Analytics: Artificial Intelligence in the Credit Union of the Future

Posted by Peter Keers, PMP on Jun 12, 2017 12:01:00 PM

A recent Forbes magazine article by Randy Bean and Thomas H. Davenport notes how General Electric (GE) is making a bold transformation into a “digital industrial” company. In the past ten years, GE has taken important steps to capture massive amounts of data (massive = “Big Data”) from devices throughout the enterprise. At first, it seems GE applied conventional analytics to find ways to increase revenue, cut cost, and many other beneficial outcomes. While analytics continues to be a critical part of GE’s evolution into being a digital industrial company, GE is taking a further step forward into the emerging areas of artificial intelligence and machine learning.

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Topics: Machine Learning, Digital, Artificial Intelligence

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