IoT Modeling Optimization Risk Management 
IBM Big Data Hub
APRIL 19, 2024
Mobile-connected technicians experience improved safety through measures such as access control, gas detection, warning messages or fall recognition, which reduces risk exposure and enhances operational risk management (ORM) during work execution. Risk-based asset strategies align maintenance efforts to balance costs and risks.
CIO Business Intelligence
DECEMBER 28, 2023
As a result, managing risks and ensuring compliance to rules and regulations along with the governing mechanisms that guide and guard the organization on its mission have morphed from siloed duties to a collective discipline called GRC. These executive lead risk or compliance departments with dedicated teams. What is GRC?
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Cloudera
AUGUST 12, 2021
However, the important role data occupies extends beyond customer experience and revenue, as it becomes increasingly central in optimizing internal processes for the long-term growth of an organization. Collecting workforce data as a tool for talent management. Risk Management. Conclusion.
Smart Data Collective
JUNE 23, 2022
It’s important to know that analytics is integral to every facet of car production, not only in supply chain optimization (more on that later). A typical car needs an estimated 30,000 individual components (the exact number may vary depending on the make and model). Risk Management. The Fundamentals.
Ontotext
APRIL 6, 2023
Knowledge graphs are changing the game A knowledge graph is a data model that uses semantics to represent real-world entities and the relationships between them. This model is used in various industries to enable seamless data integration, unification, analysis and sharing. standards modeled in a knowledge graph!
CIO Business Intelligence
OCTOBER 30, 2023
Disruption has moved from the exception to the norm With disruption now a constant rather than one-off event, organizations must be able to quickly react to change with agility across all aspects of their operating models. The philosophy behind adaptive systems is more about innovation than risk management.
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.
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