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Industry: Decisioning

A Microservices Architecture in Financial Services

WHITEPAPER

A Microservices Architecture
in Financial Services

Is your financial institution making the move to microservices?

e Microservices concept presents itself as the fulfillment of Service Oriented Architecture’s (SOA) loosely coupled promise – the answer to your development woes. Is it really a silver bullet, or should we tread cautiously?

This nine-page overview of microservices illuminates the architectural concept through the perspective of its:

  • Context
  • Advantages
  • Challenges

Download the whitepaper to gain a foundational understanding of the architectural trend in the financial services industry, and to pick up a stellar visual comparison of Microservices vs. Monolith from page 3.

RESOURCE LIBRARY

Digital Banking All-Stars: 15 Key Players Impacting Your Banking Experience
Blog ::

Digital Banking All-Stars: 15 Key Pla...

Digital Banking All-Stars: 15 Key Players Impacting Your Banking Experience ...
CIO Influence AI Fraud Article
News ::

CIO Influence AI Fraud Article

AI, Financial Crime, and the Battle for Control: Who’s Winning ...
Blog ::

The Role of Advanced Identity Verific...

The Role of Advanced Identity Verification in Effective Fraud Prevention ...
Lending Affordability and Regulations in the Nordics: Navigating Rising Debt and Consumer Protection
Blog ::

Lending Affordability and Regulations...

Lending Affordability and Regulations in the Nordics: Navigating Rising Debt ...
Provenir for Onboarding
Data Sheet ::

Provenir for Onboarding

Provenir for Onboarding Minimize Credit and Fraud Risk, Maximize Opportunity ...
Provenir for Customer Management
Data Sheet ::

Provenir for Customer Management

Provenir for Customer Management Maximize Value Across the Entire Customer ...
Provenir Takes Home Top Honors in the Global BankTech Awards, Named ‘Best Credit Risk Solution’ for Two Years Running
News ::

Provenir Takes Home Top Honors in the...

Provenir Takes Home Top Honors in the Global BankTech Awards, ...
Embedded Lending is Inevitable: How Banks Can Compete and Win in a New Environment
Webinar ::

Embedded Lending is Inevitable: How B...

ON-DEMAND WEBINAR Embedded Lending is Inevitable: How Banks Can Compete ...

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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

Digital Banking All-Stars: 15 Key Players Impacting Your Banking Experience
Blog ::

Digital Banking All-Stars: 15 Key Pla...

Digital Banking All-Stars: 15 Key Players Impacting Your Banking Experience ...
CIO Influence AI Fraud Article
News ::

CIO Influence AI Fraud Article

AI, Financial Crime, and the Battle for Control: Who’s Winning ...
Blog ::

The Role of Advanced Identity Verific...

The Role of Advanced Identity Verification in Effective Fraud Prevention ...
Lending Affordability and Regulations in the Nordics: Navigating Rising Debt and Consumer Protection
Blog ::

Lending Affordability and Regulations...

Lending Affordability and Regulations in the Nordics: Navigating Rising Debt ...
Provenir for Onboarding
Data Sheet ::

Provenir for Onboarding

Provenir for Onboarding Minimize Credit and Fraud Risk, Maximize Opportunity ...
Provenir for Customer Management
Data Sheet ::

Provenir for Customer Management

Provenir for Customer Management Maximize Value Across the Entire Customer ...
Provenir Takes Home Top Honors in the Global BankTech Awards, Named ‘Best Credit Risk Solution’ for Two Years Running
News ::

Provenir Takes Home Top Honors in the...

Provenir Takes Home Top Honors in the Global BankTech Awards, ...
Embedded Lending is Inevitable: How Banks Can Compete and Win in a New Environment
Webinar ::

Embedded Lending is Inevitable: How B...

ON-DEMAND WEBINAR Embedded Lending is Inevitable: How Banks Can Compete ...

Continue reading

Data Science in Financial Services: A Guide for the Modern Chief Risk Officer

WHITEPAPER

Data Science in Financial Services:
A Guide for the Modern Chief Risk Officer

With digitization sweeping through the financial services industry, the role of the chief risk officer is changing quickly. Why? Because new types of risks, increasing consumer demands, and growing competition make the financial landscape much more complex.

What does this mean for the CRO? It means that they need to find new ways to assess risk in this rapidly evolving market: Enter data science.

This whitepaper is the ultimate resource for any financial services leader who wants to learn more about how to successfully integrate data science solutions into their risk strategy. Download the whitepaper today to learn:

  • What data science is
  • The role it can play in reducing risk
  • How to overcome common data science challenges
  • How to get the most business value from any data science project


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Provenir Extends Its Platform to Support Python

NEWS

Provenir Extends Its Platform to Support Python

Pre-integration with the powerful programming language will make it even easier to operationalize complex credit risk models – with added artificial intelligence (AI).

New York, NY –  Date February 2018 – Provenir has expanded its risk analytics and decisioning platform to support the increasingly popular programming language Python. The platform’s new pre-built connectivity with Python will ultimately help data scientists and risk professionals create more sophisticated statistical models at higher speeds – using AI to drive faster, more reliable credit risk decisions.

Python is a powerful, interpretive language based on open source software, with access to an ever-widening range of algorithms and data libraries. Its speed, flexibility, stability and ease of integration with almost any information source have made it today’s go-to tool for data scientists. And because it works so well with AI, Python enables you to build self-sufficient models that process historical data, bringing new levels of machine learning to risk decisioning.

“Our platform’s pre-integration with Python opens exciting new possibilities for developing and operationalizing credit risk models,” says Paul Thomas, Managing Director at Provenir. “In the lending space, non-linear models with a greater number and variety of data variables can gain a more accurate picture of prospective customers – and potentially reach new demographics without increasing credit risk. When accessed through Provenir, Python’s power, flexibility and AI capabilities will help providers bring such complex risk analytics to market more quickly.”

The Ultimate Guide to Decision Engines

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

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Dun & Bradstreet Partners With Provenir To Deliver Next Generation Risk Decisioning Solutions

NEWS

Dun & Bradstreet Partners With Provenir To Deliver Next Generation Risk Decisioning Solutions

Dun & Bradstreet, pioneering Smart Data to enable customers to make smart decisions, announces a partnership with Provenir, a provider of global real-time, risk decisioning solutions. The collaboration paves the way for innovative, real-time risk decisioning services for European businesses.

In search of growth and cost efficiency, companies in Europe seek solutions to optimize their credit risk processes. Agile solutions that can respond quickly to rapid and on-going business and regulatory changes are vital. Dun & Bradstreet has a long history in delivering decision-making platforms to help businesses automate processes and make data-driven decisions. The partnership with Provenir empowers the next generation of solutions, using the Provenir Risk Analytics and Decisioning Platform.

“We are committed to providing the best information management, data analytics and risk solutions to our clients,” said Anders Borg, Chief Strategy Officer of Dun & Bradstreet. Borg continues, “The Dun & Bradstreet partnership with Provenir is a strategic initiative which will enable us to build more flexible, scalable and integrated solutions. This will provide business users the ability to create, change and implement data sources, business rules and risk models within minutes. It is the latest example of how we at Dun & Bradstreet are committed to providing an improved customer experience with automated risk decisioning.”

Provenir helps companies implement innovative business processes which improve customer experience and accelerate time to market.  The Provenir solution simplifies the collection and enrichment of structured and unstructured data, enabling data and risk analytics to be performed in real-time.

“We’re very excited to partner with Dun & Bradstreet and support their plans for automated risk decisions and analytics within their portfolio of client offerings,” said Paul Thomas, Managing Director, Provenir. “Provenir’s risk decisioning platform is model, data and technology agnostic, making it highly flexible for Dun & Bradstreet’s purposes. We’re looking forward to working together to deliver great solutions to Dun & Bradstreet’s customer base.”

About Provenir

Provenir makes risk analytics faster and simpler for financial institutions. Our 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. We help clients process more applications with greater efficiency and increase sales conversions with instant, real-time risk decisioning, serving clients across a broad range of financial verticals including consumer, commercial, cards, payments, ecommerce and auto financing. Provenir is headquartered in Parsippany, New Jersey with UK operations in London and Leeds.

About Dun & Bradstreet

Dun & Bradstreet is a leading European Data & Analytics company. We help companies to find and manage their customers throughout the customer lifecycle. We do that by pioneering Smart Data to enable our customers to make Smart Decisions. We employ 2,400 people in 18 countries and are headquartered in Stockholm, Sweden.

The Ultimate Guide to Decision Engines

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

Learn More


LATEST NEWS

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