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CRO’s Guide to Machine Learning

WHITEPAPER

CRO’s Guide to Machine Learning

Speak ‘Machine Learning’

As Chief Risk Officer, your job is not to know the ins and outs of Machine Learning. Your job is to responsibly manage risk.

However, according to McKinsey, Machine Learning “improves the accuracy of risk models by identifying complex, nonlinear patterns in large data sets” and it is one of the top trends in risk management1.  So, you should probably understand the basics.

This paper guides you through the technical foundation of Machine Learning — not why you should leverage it’s power, but how it works. You’ll gather key talking points to kickstart ML initiatives in your organization.

RESOURCE LIBRARY

The State of AI, Risk, and Fraud in Financial Services
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The State of AI, Risk, and Fraud in F...

The State of AI, Risk, and Fraud in Financial Services 2025: A ... Read More →
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Top Mortgage Lending Trends in the UK...

Top Mortgage Lending Trends in the UK and Europe: Smarter Decisioning for ... Read More →
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AI Risk Decisioning Leader Provenir to Sponsor Upcoming Banking and Financial Services ... Read More →
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DATA SHEET: Fraud for Telco

Provenir: Application Fraud for Telcos Holistic Fraud Detection with Comprehensive Subscriber View ... Read More →
NEWS: 2025 New Global Survey
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NEWS: 2025 New Global Survey

New Global Survey Shows Nearly Half of Financial Services Executives Struggling to ... Read More →
Survey: 2025 Global Risk Decisioning Survey
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Survey: 2025 Global Risk Decisioning Survey What are the key challenges and ... Read More →
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Thriving Through Change: Unlocking Success in Poland’s Lending Revolution Adapting to Rising ... Read More →
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Shaping the Future of Decisioning: How These Leading Financial Services Providers are ... Read More →
EBOOK: How Telcos Can Boost Revenue Without the Risk
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EBOOK: How Telcos Can Boost Revenue W...

Dial Into Profit: How Telcos Can Boost Revenue Without the Risk Harnessing ... Read More →
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NEWS: It’s Dentistry’s Turn to Open W...

It’s Dentistry’s Turn to Open Wide: Provenir partners with dental service organization ... Read More →
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NEWS: Financial Services Trends for 2...

Financial Services Trends for 2025 Fraud Prevention, Customer Account Management, and More ... Read More →
News: Chartis Research Executive Brief Details Provenir ‘Best-in-Class’ Capabilities for Credit Risk and Fraud Mitigation
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News: Chartis Research Executive Brie...

Chartis Research Executive Brief Details Provenir ‘Best-in-Class’ Capabilities for Credit Risk and ... Read More →
Vendor Report: Chartis Research Names Provenir a Global Leader
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Vendor Report: Chartis Research Names...

Chartis Research Names Provenir a Global Leader Credit and Fraud – A ... Read More →
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AI In Banking for Smarter Decisions B...

You’re Invited: AI In Banking for Smarter Decisions Business Lunch with Provenir ... Read More →
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News: Embracing the Soon-to-Be $228 B...

Embracing the Soon-to-Be $228 Billion Embedded Finance Revenue Opportunity The value of ... Read More →

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How a Norwegian Virtual Bank is Using Machine Learning

NEWS

How a Norwegian Virtual Bank is Using Machine Learning

A Norway-based digital bank is using a machine-learning platform to allow for immediate decisions on loan eligibility.

Provenir, the platform Instabank uses, is deployed by banks and finance companies around the world, some of which have incorporated social media data in determining loan eligibility criteria.

Read the full article on Tearsheet.com

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Provenir Unveils Amazon Machine Learning Adapter

NEWS

Provenir Unveils Amazon Machine Learning Adapter

New Provenir Adapter adds Machine Learning to the risk analytics and decisioning toolkit for faster credit and risk decisions

New Jersey, US – 20 March 2017Provenir, provider of risk analytics and decisioning solutions, today unveiled the new Provenir Adapter for Amazon Machine Learning for financial institutions seeking to add machine learning to their toolkit without the time and resources typically associated with development. The latest in Provenir’s suite of adapters automatically feeds the predictive score returned by the Amazon Machine Learning model into the risk decisioning process. The Provenir Platform then automates that process, instantly executing a pass, fail or refer result from a risk score.

Provenir Adapter Makes Machine Learning More Accessible to Lenders
“While Machine Learning has massive implications in financial services, few organisations are able to dedicate full time resources to the development of homegrown machine learning capabilities” said Larry Smith, CEO and Founder, Provenir. “The Provenir Adapter for Amazon Machine Learning makes machine learning accessible to those companies who are focused on their core businesses by eliminating the need for a dedicated expert.”

Inexperienced Developer Deploys ML Model in Less Than 20 Minutes
Smith shared an example. “With no experience in machine learning, one developer on our team was able to build and deploy a machine learning model in less than 20 minutes, operationalizing that model in the Provenir Platform in just hours. Historically, that would have taken a team of people a month to achieve.”

Visually Configurable, Real-Time, Risk Analytics
To meet customer expectations of speed, efficiency and cost, financial service providers need risk management solutions that are visual and intuitive, don’t require coding expertise or development skills to update, and are flexible enough to adapt in changing situations. This integration pairs Provenir’s visually configurable risk platform with Amazon Machine Learning for real-time, user-friendly, risk analytics and decisioning.

About Provenir
Provenir makes risk analytics faster and simpler for financial institutions. The Provenir risk analytics and decisioning platform is a powerful orchestration hub that can listen to any channel, integrate with any data service and operationalize any analytic model. Helping clients process more applications with greater efficiency and increase sales conversions with instant, real-time risk decisioning, Provenir serves clients across a broad range of financial verticals including consumer, cards, payments, ecommerce and auto financing. Provenir is headquartered in Parsippany, New Jersey with EMEA operations based in England and APAC operations in Singapore. For more information please visit www.provenir.com.  

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What is a decision engine and how does it help your business processes?

Learn More


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