BizAcuity

APRIL 1, 2023

Anti-Money Laundering (AML) is increasingly becoming a crucial branch of risk management and fraud prevention. There are primarily two underlying techniques that can be leveraged for AML initiatives- Exploratory Data Analysis and Predictive analytics. OCR is widely used to digitize all kinds of physical documentation.

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. There are primarily two underlying techniques that can be leveraged for AML initiatives- Exploratory Data Analysis and Predictive analytics. OCR is widely used to digitize all kinds of physical documentation.

Machine Learning 52

Machine Learning Predictive Analytics Predictive Modeling Risk 52

datapine

AUGUST 29, 2022

7) Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die by Eric Siegel. Best for: someone who has heard a lot of buzz about predictive analytics, but doesn’t have a firm grasp on the subject. – Eric Siegel, author, and founder of Predictive Analytics World.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

Ontotext

FEBRUARY 26, 2024

Risk management : Understanding the correlation between events and stock price fluctuations helps manage risk. Strategic planning and predictive analytics : Companies can use this analysis for strategic planning. Market sentiment analysis : Events can significantly influence market sentiment.

Data-driven 59

Data-driven Risk Modeling Risk Management 59

IBM Big Data Hub

JULY 27, 2023

EAM systems can include functions like maintenance management, asset lifecycle management , inventory management and work order management, among others. Access to asset/system simulations can enable more proactive maintenance planning, improved decision-making and better risk management.

Cost-Benefit 56

Cost-Benefit IoT Internet of Things Enterprise 56

Cloudera

SEPTEMBER 7, 2023

The hybrid platform’s automation capabilities are crucial in this stage, allowing for more rapid adaptation and richer analytics. Push predictive analytics to optimize operations and enhance profitability. Use NLP to analyze and break down regulatory documents, translating complex legal jargon into actionable tasks.

Insurance 81

Insurance Risk Data-driven Finance 81

Corinium

APRIL 25, 2019

Machine learning can keep up, by continually looking for trends and anomalies, or predictive analytics, that are interesting for the given use case. Also tokenization can do this very quickly, so it typically won’t add unacceptable overhead to a high-volume transactional or analytical system.

Insurance 150

Insurance Risk IoT Cost-Benefit 150