Remove fraud-prevention-3-data-strategies-for-financial-services
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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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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?

Big Data 364
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How Financial Services and Insurance Streamline AI Initiatives with a Hybrid Data Platform

Cloudera

There’s also the risk of various forms of data leakage, including intellectual property (IP) as well as personally identifiable information (PII) especially with commercial AI solutions. That said, Generative AI and LLMs appear to do all of these things, producing original, “creative” outputs by learning from input data.

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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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Connecting the Data Lifecycle

Cloudera

Data transforms businesses. That’s where the data lifecycle comes into play. Managing data and its flow, from the edge to the cloud, is one of the most important tasks in the process of gaining data intelligence. . Working with Cloudera, Carrefour Spain was able to create a unified data lake for ease of data handling.

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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.