CIO OPINION and continuous learning . Where skilled personnel cannot be recruited for whatever reason , cultivating strong and collaborative partnerships with vendors can provide invaluable guidance and support .
Processes : Infusing AI into any process requires you to understand the status of your organisation ’ s current manual processes and where you aspire them to be . It ’ s an exercise that involves mapping out workflows , identifying inefficiencies and recognising where automation and AI can deliver improvements . Typically , automation consists of using software or hardware systems that perform tasks without human intervention . However , increasing efficiency and reducing human error must occur in tandem with robust data governance and the upholding of ethical considerations .
Platforms : Modern , market-ready platforms can source data from anywhere , transform it without relying on the extract , transform and load ( ETL ) process and analyse it spontaneously . Irrespective of the platform types you choose to adopt , AI readiness does require more than merely accommodating the technology . You ’ ll need a strategic plan crafted around AI that pairs your operational systems of record with modern integration systems . By accessing a context pipeline into your system of intelligence , you ’ ll be in a much better position to get the most from AI ’ s potential .
It ’ s all about the mindset
In an era defined by AI ’ s rapid evolution , organisations must cultivate a new mindset before they can begin capitalising on the technology ’ s extraordinary potential . Access to AI opens the gates , but it is this shift in mindset that paves the way to true AI-readiness .
Returning to the workshop I alluded to in the introduction , the gathering of industry experts in attendance developed a non-exhaustive list of six invaluable recommendations for how organisations can foster a culture of AI-readiness .
1 . Set clear goals : Defining clear goals for how you want an AI integration to perform is a critical first step . It ’ s an exercise that requires developing a strong understanding of what AI can do and its potential impact and then aligning these insights with your organisation ’ s vision and available resources . Vision . Leadership . Knowledge . These three components make defining , identifying and executing use cases and outcomes easier and more fruitful .
2 . Develop comprehensive documentation : Clearly defined processes form the foundation of AIreadiness and depend on proper documentation to ensure they are clear , maintained and adaptable . By developing detailed and transparent
Access to AI opens the gates , but it is this shift in mindset that paves the way to true AI-readiness .
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