Data Quality Data-driven Risk Uncertainty 
datapine
MAY 31, 2022
It provides better data storage, data security, flexibility, improved organizational visibility, smoother processes, extra data intelligence, increased collaboration between employees, and changes the workflow of small businesses and large enterprises to help them make better decisions while decreasing costs.
Cloudera
JULY 15, 2021
We recently hosted a roundtable focused on o ptimizing risk and exposure management with data insights. For financial institutions and insurers, risk and exposure management has always been a fundamental tenet of the business. Now, risk management has become exponentially complicated in multiple dimensions. .
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Rocket-Powered Data Science
FEBRUARY 15, 2023
Third, any commitment to a disruptive technology (including data-intensive and AI implementations) must start with a business strategy. 3) How do we get started, when, who will be involved, and what are the targeted benefits, results, outcomes, and consequences (including risks)? So what? (2)
erwin
MAY 6, 2020
In these times of great uncertainty and massive disruption, is your enterprise data helping you drive better business outcomes? Assure an Unshakable Data Supply Chain to Drive Better Business Outcomes in Turbulent Times. Strong data management practices can have: Financial impact (revenue, cash flow, cost structures, etc.).
CIO Business Intelligence
APRIL 28, 2022
Right from the start, auxmoney leveraged cloud-enabled analytics for its unique risk models and digital processes to further its mission. Particularly in Asia Pacific , revenues for big data and analytics solutions providers hit US$22.6bn in 2020 , with financial services companies ranking among their biggest clients.
O'Reilly on Data
MARCH 31, 2020
AI products are automated systems that collect and learn from data to make user-facing decisions. All you need to know for now is that machine learning uses statistical techniques to give computer systems the ability to “learn” by being trained on existing data. Machine learning adds uncertainty.
Anmut
OCTOBER 29, 2020
Data governance - who's counting? The role of data governance. This large gap between reported figures raises tough questions on the reliability of COVID-19 tracking data. In dealing with situations like pandemic data, how important are aspects of data governance such as standardised definitions?
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