Cloudera

SEPTEMBER 22, 2022

In this post, I’ll explore opportunities to enhance risk assessment and underwriting, especially in personal lines and small and medium-sized enterprises. Utilizing a variety of data sources creates a more accurate picture of risks. Insurance carriers are always looking to improve operational efficiency. Step one: gather the data.

Analytics 95

Analytics Insurance IoT Risk 95

BizAcuity

MARCH 31, 2022

85% of AI (marketing) projects fail due to risk, confusion, and lack of upskilling among marketing teams.(Source: Not just banking and financial services, but many organizations use big data and AI to forecast revenue, exchange rates, cryptocurrencies and certain macroeconomic variables for hedging purposes and risk management.

Data Analytics 52

Data Analytics Analytics Prescriptive Analytics Predictive Analytics 52

Rocket-Powered Data Science

OCTOBER 6, 2023

Cognitive Analytics – this analytics mindset approach focuses on “surprise” discovery in data, using machine learning and AI to emulate and automate the cognitive abilities of humans. These may not be high-risk discoveries, but they could be high-reward discoveries. How does that resemble human cognitive abilities?

Business Analytics 157

Business Analytics Prescriptive Analytics Analytics Diagnostic Analytics 157

Sisense

JULY 23, 2021

Not only does it support the successful planning and delivery of each edition of the Games, but it also helps each successive OCOG to develop its own vision, to understand how a host city and its citizens can benefit from the long-lasting impact and legacy of the Games, and to manage the opportunities and risks created.

Unstructured Data 105

Unstructured Data Internet of Things Data-driven Data Processing 105