Remove Big Data Remove Fraud Remove Innovation Remove Risk Management
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Sift Science Eyes Global Fraud Prevention With $53M In Funding

PYMNTS

Fraud detection startup Sift Science has raised $53 million in a series D round, bringing its total amount raised to $107 million. Founded in 2011, Sift Science plans to use this latest round of funding to grow its fraud detection and prevention product globally. Clients include Twitter, Airbnb, Twilio, Instacart, Zillow and Yelp.

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SMEs Struggle To Find The Cash To Invest

PYMNTS

203 billion to be spent on Big Data analytics solutions by 2020 , said IDC, highlighting banking and manufacturing as the industries that will fuel this spend. That’s due to the capabilities of risk management, fraud detection and prevention and compliance within data analytics solutions.

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How payments innovation could transform the retail industry

NCR

This tech-driven transformation of the payments and retail sectors is set to continue, so what impact could the most cutting-edge innovations have in the years to come? Taking full advantage of digital wallets could put retailers in a stronger position to meet a big challenge: living up to customer expectations.

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Meet Our 2023 FICO Decisions Awards Judges

FICO

FICO has announced its panel of independent judges for the 2023 FICO® Decisions Awards , which honor businesses achieving outstanding results using analytics and decision management technology to grow their business, manage risk and reduce costs. Neeti Aggarwal, CFA senior research manager, The Asian Banker.

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Why fragmentation of the global data supply chain poses risks to financial services

BankUnderground

But potential fragmentation of the global data supply chain now poses a novel risk to financial services. In this blog post, we first discuss the importance of data flows for financial services, and then potential risks from blockages to these flows. Big Data and financial services.

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Will AI define the future of banking?

NCR

There are many areas of technological innovation that are having a big impact on how the banking industry operates. The report noted that financial institutions can use AI to gain advantages such as greater efficiency, more effective risk management, better fraud detection and improved customer service.

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How Transaction Analytics Transform Lending Speed and Results

FICO

For example, it can be used in onboarding a customer, determining a credit limit extension, a recovery treatment and even to pick up suspected fraud. FICO’s advanced analytics around transactional fraud monitoring are well known in banking. Explore Defining Big Data Characteristics – A Data Scientist’s Life Hack.