Government Risk Management Sourcing 
Perficient Digital Transformation
AUGUST 19, 2024
Though this seems to be at a stage where some more push is required in terms of adoption in the risk management function. Traditional risk managers, by their job definition, are highly cautious of the result sets provided by the analytics teams. Data Overload (“Dude!
Everest Group
JULY 23, 2024
Organizations are increasingly relying on third parties for various functions to cut costs and leverage external expertise, which can introduce significant security risks. which ultimately enhances the efficiency of the risk management program. Read on, or get in touch if you have specific queries on this topic.
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IBM Services
FEBRUARY 13, 2024
For sourcing teams, that means pivoting their mindset around selecting suppliers from a tactical, lowest-cost-above-all approach to a strategic one. Where tactical sourcing is a short-term strategy, strategic sourcing is for long-term business goals. And from that group, 71% would pay a premium for it.
SirionLabs
AUGUST 22, 2022
The Disconnect Between Contracting and Risk Management Surprisingly, knowledge of contract risk is limited among enterprises. This can be attributed to the fact that companies have largely relied on manual processes or point solutions and siloed risk management processes in their effort to mitigate risk.
SirionLabs
AUGUST 22, 2022
The Disconnect Between Contracting and Risk Management. Surprisingly, knowledge of contract risk is limited among enterprises. This can be attributed to the fact that companies have largely relied on manual processes or point solutions and siloed risk management processes in their effort to mitigate risk.
SIG Speaks
MAY 4, 2023
SIG University Certified Third-Party Risk Management Professional (C3PRMP) program graduate William Chanto Castro shares the tricks to overcoming the obstacles to meeting risk regulations and requirements. 9). The information required by the Regulator may come from different sources depending on the company.
IBM Services
OCTOBER 16, 2023
This is where AI governance comes into play: addressing these potential and inevitable problems of adoption. AI governance refers to the practice of directing, managing and monitoring an organization’s AI activities. Foundation models can use language, vision and more to affect the real world.
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