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XAI: Accuracy vs Interpretability for Credit-Related Models

Analytics Vidhya

When too much risk is restricted to very few players, it is considered as a notable failure of the risk management framework. […]. The post XAI: Accuracy vs Interpretability for Credit-Related Models appeared first on Analytics Vidhya.

Modeling 392
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How Big Data Analytics & AI Combined can Boost Performance Immensely

Smart Data Collective

Business analytics. According to a study, 97% of businesses invest in big data and AI. This is where business analytic specialists come in. These types of specialists can also present their product or service to investors and potential customers with the help of AI and big data analytics. Innovations.

Big Data 106
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Best BI Tools Examples for 2024: Business Intelligence Software

FineReport

The convergence of these business analytics advancements underscores the transformative potential of modern BI tools in empowering organizations with actionable insights. As businesses navigate an increasingly data-driven environment, staying abreast of these trends is essential for leveraging data as a strategic asset.

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Five Trends for the Financial Services Industry to Track in 2021

Cloudera

Here’s my take on some of the trends specific to the impact that data, analytics and AI/ML will have as we look at the year ahead. . Trend #1: The Crossroads of Risk Management and Emerging Technology. Artificial intelligence and machine learning (AI/ML) will be central to risk modeling in 2021 and the future.

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Decoding Data Analyst Job Description: Skills, Tools, and Career Paths

FineReport

Excel: Widely used for preliminary data analysis and modeling, featuring advanced business analytics options. Here’s a structured approach to becoming a Data Analyst: Obtain a bachelor’s degree in a related field like computer science, mathematics, or business analytics. JPMorgan Chase & Co.:

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How to Leverage Machine Learning for AML Compliance

BizAcuity

Anti-Money Laundering (AML) is increasingly becoming a crucial branch of risk management and fraud prevention. Predictive Analytics It is a subset of business analytics that uses statistical techniques (algorithms) to find patterns in historical data points and predict future outcomes with high accuracy.

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How to Leverage Machine Learning for AML Compliance

BizAcuity

Anti-Money Laundering (AML) is increasingly becoming a crucial branch of risk management and fraud prevention. Predictive Analytics. It is a subset of business analytics that uses statistical techniques (algorithms) to find patterns in historical data points and predict future outcomes with high accuracy.