Remove fraud-prevention-3-data-strategies-for-financial-services
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AI-Based Analytics Are Changing the Future of Credit Cards

Smart Data Collective

However, the financial industry has been affected more than most others. Therefore, it should not be surprising to hear that the global market for AI in the financial services sector was worth $9.45 With its ability to quickly process large amounts of data, AI is becoming increasingly important in the financial industry.

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18 Examples Of Big Data Analytics In Healthcare That Can Save People

datapine

Big data has changed the way we manage, analyze, and leverage data across industries. One of the most notable areas where data analytics is making big changes is healthcare. In this article, we’re going to address the need for big data in healthcare and hospital big data: why and how can it help?

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Fraud Prevention – 3 Data Strategies for Financial Services

Cloudera

Fraud awareness in the Financial Services industry is more important than ever. The report reveals 68% of respondents have observed an increase in payment fraud schemes (vs. Eliminating functional data silos is critical to establishing a horizontal and holistic approach to financial crime prevention.

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Why Do You Need To Visualize Your Accounting Reports?

datapine

3) Types Of Accounting Reports. Tracking the financial health of a business and its evolution over time is essential: to organize important business transactions, and keep track of invoices, but also for legal purposes. They are a compilation of financial information that infers from a business’s accounting records.

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Conversational AI use cases for enterprises

IBM Big Data Hub

The emergence of NLG has dramatically improved the quality of automated customer service tools, making interactions more pleasant for users, and reducing reliance on human agents for routine inquiries. DL models can improve over time through further training and exposure to more data.

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Top Graph Use Cases and Enterprise Applications (with Real World Examples)

Ontotext

Gartner predicts that graph technologies will be used in 80% of data and analytics innovations by 2025, up from 10% in 2021. Use Case #1: Customer 360 / Enterprise 360 Customer data is typically spread across multiple applications, departments, and regions. Several factors are driving the adoption of knowledge graphs.

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The Advantages Of Live Data-Streaming In The Competitive Financial Services Sector (Part I)

Cloudera

Live data-streaming offers businesses exciting new opportunities to transform the way they operate, leveraging real-time insights to drive better decision making and enhance operational efficiency. To start off, what are the advantages of a forward-looking data-in-motion strategy?