Assess the implications of AI risk management for your organization
Posted: Tue Feb 11, 2025 3:18 am
Data and technology governance must include ethics and risk considerations
Traditionally, data governance and data technology governance have focused on operational issues such as master data management, data quality, and data warehousing. The introduction of privacy and data protection laws such as the General Data Protection Regulation (GDPR) in the EU and the Personal Data Protection Act (PDPA) in Singapore have significantly expanded the scope of data governance to include data privacy, privacy, and data sovereignty.
This has shifted data governance from an belize whatsapp data space to one of regulatory compliance and mandatory law enforcement. With AI ready for production, including large-scale production deployment, enterprises must incorporate data and technology governance considerations, including the ethics of data use and AI-related risk management, into their data and technology governance.
Similar to cybersecurity risks, regulatory initiatives and consumer demand are pushing AI risk management to the top of the corporate agenda. Assess your data and technology management initiatives to identify gaps or issues around the use of data and AI. Prepare for AI risk management to monitor cybersecurity risks and initiate corporate collaboration and cross-functional initiatives, including governance, risk, corporate social responsibility, and ethics. To gain a competitive advantage, you need to earn the trust of your customers, partners, and employees, but first you must learn how to use data and AI responsibly.
Traditionally, data governance and data technology governance have focused on operational issues such as master data management, data quality, and data warehousing. The introduction of privacy and data protection laws such as the General Data Protection Regulation (GDPR) in the EU and the Personal Data Protection Act (PDPA) in Singapore have significantly expanded the scope of data governance to include data privacy, privacy, and data sovereignty.
This has shifted data governance from an belize whatsapp data space to one of regulatory compliance and mandatory law enforcement. With AI ready for production, including large-scale production deployment, enterprises must incorporate data and technology governance considerations, including the ethics of data use and AI-related risk management, into their data and technology governance.
Similar to cybersecurity risks, regulatory initiatives and consumer demand are pushing AI risk management to the top of the corporate agenda. Assess your data and technology management initiatives to identify gaps or issues around the use of data and AI. Prepare for AI risk management to monitor cybersecurity risks and initiate corporate collaboration and cross-functional initiatives, including governance, risk, corporate social responsibility, and ethics. To gain a competitive advantage, you need to earn the trust of your customers, partners, and employees, but first you must learn how to use data and AI responsibly.