AI-ready data is a conscious choice, and the organizations that lead the era of AI will be those that treat data as a strategic asset and culture as a force multiplier.
Research reveals growing gaps between AI experimentation and risk patterns as usage deepens across business workflows.
Surveys from Workiva, Cisco and Wiingy highlight growing pressure on AI governance that some CFOs may want to address ...
We speak with Freshworks CEO Dennis Woodside about his mid-market ambitions. However, will workflow automation win in the ...
Absent a comprehensive federal AI framework, agencies should be guided by four governance priorities. While the federal ...
Data fabric is a powerful architectural approach for integrating and managing data across diverse sources and platforms. As enterprises navigate increasingly complex data environments, the need for ...
NTT Data's expanded partnership will focus on enterprise agentic AI deployment at scale, leveraging AWS cloud technologies.
Opinion
Retail Banker International on MSNOpinion
Algorithmic banking has moved faster than its governance
Dr Gulzar Singh explains how algorithmic decision-making in banks has outpaced the institutional structures designed to govern accountability, oversight, and escalation ...
A strategic layer defines business outcomes, prioritizes automation opportunities, establishes value metrics, and aligns initiatives with regulatory and ethical expectations. A governance layer ...
Nutshell reports effective CRM and email marketing alignment enhances customer relationships through strategic planning in people, processes, and data governance.
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