Analytics Vidhya

DECEMBER 4, 2022

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 395

Modeling Risk Management Risk Management 395

Smart Data Collective

MAY 8, 2022

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

Big Data Data Analytics Analytics Cost-Benefit 106

FineReport

APRIL 9, 2024

Evolving BI Tools in 2024 Significance of Business Intelligence In 2024, the role of business intelligence software tools is more crucial than ever, with businesses increasingly relying on data analysis for informed decision-making.

Business Intelligence 52

Business Intelligence Software Data-driven Predictive Modeling 52

Cloudera

FEBRUARY 24, 2021

Trend #1: The Crossroads of Risk Management and Emerging Technology. One shift the financial services industry will have to come to terms with is the fact that 2020 may have made risk management models of the past outdated or obsolete , particularly credit risk models. What’s Next?

Risk Management 61

Risk Management Risk Recreation/Entertainment Machine Learning 61

BizAcuity

APRIL 1, 2023

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.

Machine Learning 52

Machine Learning Predictive Analytics Predictive Modeling Risk 52

BizAcuity

JANUARY 18, 2023

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.

Machine Learning 52

Machine Learning Predictive Analytics Predictive Modeling Risk 52

FineReport

MARCH 24, 2024

They should possess technical expertise in data models, database design, and data mining, along with proficiency in reporting packages, databases, and programming languages. Strong analytical skills, attention to detail, and a degree in relevant fields like Mathematics or Computer Science are also essential requirements.

Statistics 52

Statistics Data mining Visualization Reporting 52