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  "documentTitle": "Elevating internal audit’s role: The digitally fitfunction 2019 State of the Internal Audit Profession Study",
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      "text": "Internal auditors don't require deep technical knowledge to begin engaging in their organisation's digital initiatives.",
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      "text": "For instance, a deeper understanding of data is critical because data sits at the centre of all things digital. And even though auditors don't have to be robotic-process-automation (RPA) experts or data scientists, they do have to understand data sources in order to assess data quality, to test whether an algorithm is performing as planned, and to know what kinds of insights can be drawn from the data.",
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      "text": "Sara Merian, Head of Internal Audit and Financial Compliance, Syngenta International AG",
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      "text": "Although still far from being fully staffed to address their organisation's use of emerging technologies, Dynamics are more prepared to audit emerging technology than their peers are — particularly in such areas as cloud technologies, automation of business processes, and the Internet of Things (Figure 3).",
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      "text": "They also see a future in which they're skilled for auditing a wide variety of emerging technologies — even those not in use by their organisations today. In fact, 49% of Dynamics are currently auditing or skilling up to audit AI. By contrast, 13% of Beginners — who represent a mix of industries similar to the industries Dynamics are in — are doing so.",
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      "text": "Internal audit can also connect the dots on risks across multiple digital initiatives throughout an organisation. But as organisations become more and more digital, internal audit's baseline levels of digital acumen and skills must rise.",
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      "text": "Internal auditors don't require deep technical knowledge to begin engaging in their organisation's digital initiatives. Auditors bring a thorough understanding of risk and process — which is a valuable lens that decision makers sometimes lack.",
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      "text": "You don't need every single team member to be data scientists, but you need the team to be on board with the direction you are going. And then you need a few with the energy, passion and knowledge around the topic to drive it forward.",
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      "text": "You don't need every single team member to be data scientists, but you need the team to be on board with the direction you are going. And then you need a few with the energy, passion and knowledge around the topic to drive it forward. — Sara Merian, Head of Internal Audit and Financial Compliance, Syngenta International AG",
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