Organizations that do not manag
Posted: Thu Feb 06, 2025 4:58 am
Risks associated with generative AI models include unreliability, misinformation, bias, privacy violations, and unfairness. If not addressed, these issues can be particularly painful for organizations, as they can lead to sensitive data being leaked and misinformation being spread throughout the organization.
“e AI-related risks are exponentially prone to adverse outcomes such as project failures and information breaches,” Chandrasekaran said. “Therefore, AI TRiSM is critical for organizations to minimize these risks and protect their employees.”
How to Take Control of Shadow Analytics
06.10.2023
Unauthorized analytics tools put your organization at risk. Experts interviewed by InformationWeek share how to spot and combat shadow analytics without hurting productivity.
Data analytics is a powerful tool that helps users make denmark mobile database decisions about trends, new products, customer preferences, sales, and a nearly endless number of other topics. However, a major problem arises when corporate team members begin deploying their own, unauthorized analytics applications.
According to Joseph Williams, global cybersecurity partner at Infosys Consulting, shadow analytics is like wiring your house yourself. “You can make it work, but you risk ‘burning down the building’ due to uncontrolled data manipulation that violates privacy regulations and is subject to risks that can lead to fines and damage to your brand’s reputation,” he says.
Using unauthorized analytics tools can lead to poor or even fatal business decisions. “If you don’t know where the data is coming from or can’t reach consensus with stakeholders, you won’t get the benefit,” warns Peter Mottram, managing director of Protiviti’s technology consulting practice. “In fact, you may make the wrong decision without even realizing it.”
“e AI-related risks are exponentially prone to adverse outcomes such as project failures and information breaches,” Chandrasekaran said. “Therefore, AI TRiSM is critical for organizations to minimize these risks and protect their employees.”
How to Take Control of Shadow Analytics
06.10.2023
Unauthorized analytics tools put your organization at risk. Experts interviewed by InformationWeek share how to spot and combat shadow analytics without hurting productivity.
Data analytics is a powerful tool that helps users make denmark mobile database decisions about trends, new products, customer preferences, sales, and a nearly endless number of other topics. However, a major problem arises when corporate team members begin deploying their own, unauthorized analytics applications.
According to Joseph Williams, global cybersecurity partner at Infosys Consulting, shadow analytics is like wiring your house yourself. “You can make it work, but you risk ‘burning down the building’ due to uncontrolled data manipulation that violates privacy regulations and is subject to risks that can lead to fines and damage to your brand’s reputation,” he says.
Using unauthorized analytics tools can lead to poor or even fatal business decisions. “If you don’t know where the data is coming from or can’t reach consensus with stakeholders, you won’t get the benefit,” warns Peter Mottram, managing director of Protiviti’s technology consulting practice. “In fact, you may make the wrong decision without even realizing it.”