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How TCS is helping to fight financial crime with AI and Microsoft Cloud

CIO

As consumers embrace ecommerce, digital banking, and online payment applications, the risk of fraud and other financial crimes has increased dramatically. fraud losses amounted to $5.9 fraud losses amounted to $5.9 And for every dollar lost to fraud, banks spend over $4 on recovery fees, legal fees, and other expenses.

Alliance 636
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The ‘Great IT Rebrand’: Restructuring IT for business success

CIO

Breaking the mold As the lines blur between business and technology, investment banking firm Edward Jones is refashioning IT along two parallel paths. Keith Sarbaugh, CIO, Zoetis Zoetis “We’re recruiting a different profile of a candidate than we would have 10 years ago,” Sarbaugh says.

IT 814
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Data Analytics Improves Credit Risk Reduction Via Diversification

Smart Data Collective

Credit risk is one of the most critical hazards that banks and financial organizations face. Credit risk may result in everything from late payment penalties to huge financial losses, especially if the borrower fails on a considerable sum or if a large number of borrowers default at the same time.

Finance 215
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5 Sure-Fire Tips How AI Is Going to Improve Fintech in 2021

Smart Data Collective

Fraudulent activity has always been a major issue for financial institutions such as banks and insurance companies. Despite extensive internal training and fraud detection manuals, they foresee a significant annual loss due to fraud cases. Client Risk Profile Categorization. Detection and prevention of fraud.

Profiling 301
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Top Tools for Your Cloud Data Security Stack in 2023

Smart Data Collective

More notably, they have an intelligence data scanning facility that doesn’t break the bank, making it a great option for businesses trying to save on their cloud usage bill. Auth0 also provides features to manage user profiles, roles, and permissions, and to enforce security policies.

Security 240
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What is Data as a Service (DaaS)?

Zoominfo

As the velocity, volume, and variety of data increases, many businesses struggle with unreliable data that doesn’t offer valuable insights, leading to significant losses. In fact, a Gartner survey found that companies attribute an average of $15 million in losses each year to bad data.

Profiling 130
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Boost Your Win/Loss Program with Answers to 5 Questions

Ellennaylor

Last week, I gave a webinar for the Minnesota SCIP chapter entitled, Win/Loss Analysis: How to Capture and Keep the Business You Want. Check out my Win/Loss presentations to help boost your Win/loss program from my Slideshare presentations. They also won’t give a Win/Loss interview for free.

Loss 40