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What CIOs can do: To make transitions to new AI capabilities less costly, invest in regression testing and changemanagement practices around AI-enabled large-scale workflows. Falling behind AI governance practices may yield unacceptable risks, especially as AI agents are deployed in enterprise and customer-facing applications.
In a report released in early January, Accenture predicts that AI agents will replace people as the primary users of most enterprisesystems by 2030. Another company using agents to automate business processes is SS&C, a financial services and healthcare technology company. And thats just the beginning.
Management rules typically exist to enable faultless decision-making, set a foundation for consistent operation, and provide protection from risk, observes Ola Chowning, a partner at global technology research and advisory firm ISG. Both options represent some level of financial, regulatory, or performance risk.”
The relationships and governance structure all need to support the alignment, and this planning needs to cover not only technology but also changemanagement, end-user enablement, and management of ongoing operations and business-as-usual activities once the technology has been delivered.”
Engage and manage the ecosystem: Build trusted partnerships, manage third-party risks, and raise security awareness by identifying the key stakeholders." Consequently, in an average building with six systems, an alarming 24 to 100 or more individuals can have unrestricted, uncontrolled access to critical infrastructure.
Shashank Jain, CIO at the financial services firm, Shree Financials, suggested a strategic shift. This will undoubtedly raise questions and concerns from executives about how to ensure the reliability of enterprisesystems, especially with technology as integrated into day-to-day operations as cybersecurity software.”
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