IBM Big Data Hub

FEBRUARY 19, 2024

It includes everything from product development and strategic decision-making to information systems and new technologies. To mitigate these risks , companies need the resources and technology to develop robust contingency plans. Because finding the right suppliers can be challenging, some businesses turn to technology to help.

Strategy 87

Strategy Management Forecasting Cost-Benefit 87

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. Predictive and preventive maintenance : The advent of IoT and AI technologies has transformed EAM systems into predictive maintenance tools.

Cost-Benefit 59

Cost-Benefit IoT Internet of Things Enterprise 59

Smart Data Collective

JUNE 26, 2019

The insurance industry is based on the idea of managing risk. To determine this risk, the industry must consult data and see what trends are evident to draft their risk profiles. Advanced Analytical Processes in Insurance. Unlike property and vehicles, cyber risk is an entirely different entity altogether.

Insurance 94

Insurance Data Analytics Analytics IoT 94

Cloudera

JUNE 29, 2023

To ensure the stability of the US financial system, the implementation of advanced liquidity risk models and stress testing using (MI/AI) could potentially serve as a protective measure. To improve the way they model and manage risk, institutions must modernize their data management and data governance practices.

Data Architecture 82

Data Architecture Risk Management Risk Management 82

BizAcuity

MARCH 31, 2022

The widespread adoption of AI technology is fueled by 3 major challenges that businesses have been facing since the last decade. 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

Corinium

APRIL 25, 2019

And more recently, we have also seen innovation with IOT (Internet Of Things). Machine learning can keep up, by continually looking for trends and anomalies, or predictive analytics, that are interesting for the given use case. You can protect individual fields, or even subsets of fields (e.g. This stuff works.

Insurance 150

Insurance Risk IoT Cost-Benefit 150