Modeling Prescriptive Analytics Risk Management Testing 
CIO Business Intelligence
OCTOBER 4, 2023
There’s also strong demand for non-certified security skills, with DevSecOps, security architecture and models, security testing, and threat detection/modelling/management attracting the highest pay premiums. AI skills more valuable than certifications There were a couple of stand-outs among those.
Cloudera
AUGUST 25, 2020
Machine Learning and AI provide powerful predictive engines that rely on historical data to fit the models. Typically, the more data fed into models, the more robust they become in terms of understanding nuances and subtle relationships. This is critically important for predicting risk exposures.
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BizAcuity
MARCH 31, 2022
More use-cases are being tried, tested and built everyday, the innovation in this field will not cease for the next few years. 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.
FineReport
MARCH 24, 2024
Data analysts leverage four key types of analytics in their work: Prescriptive analytics: Advising on optimal actions in specific scenarios. Diagnostic analytics: Uncovering the reasons behind specific occurrences through pattern analysis. Descriptive analytics: Assessing historical trends, such as sales and revenue.
Andrew White
JANUARY 11, 2021
How do you think Technology Business Management plays into this strategy? Where does the Data Architect role fits in the Operational Model ? Assuming a data architect helps model and guide and assist D&A then they play a key role. Value Management or monetization. Product Management. Governance. Architecture.
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