AI

DataOps Lays the Foundations for Agility, Security and Transformational Change

Matt Aslett, Research Vice President, Data, AI and Analytics, 451 Research, defines DataOps as, “The alignment of people, process, and technology to enable more agile and automated approaches to enterprise data management in service of business goals. It aims to provide easier access to enterprise data to meet the demands of various stakeholders who are part of the data supply chain (developers, data scientists, business analysts, DevOps professionals, etc.) in support of a broad range of use cases.”

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The Future of IT Audit

ISACA’s The Future of IT Audit: Research Brief reveals the opportunities and challenges that
await the IT audit professional and sheds light on the IT audit profession in general. In this paper,
ISACA presents survey findings related to the involvement of auditors in technology projects
within their enterprise, the technology challenges faced by auditors, the perceived impact of
automation and artificial intelligence (AI), and the IT audit staffing implications and workforce
development issues caused by new technologies.

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