FINAL WORD
Generative AI represents democratisation of development
One way of plugging AI skills gaps in the GCC is to upskill from within . As low-code and no-code platforms have aided the rise of the citizen developer , challenges have emerged and CIOs may need to reimagine their role in the organisation says Adam Spearing at ServiceNow .
Heisenberg ’ s Uncertainty Principle tells us there is trade-off between certainties of measurement . The more accurately we measure position , the less accurately we can measure momentum , and vice versa . Artificial intelligence suffers from a similar balancing act between responsive and responsible AI .
Business leaders want insights before competitors come to the same conclusions . But they are also faced with appeasing customers , employees , investors , and regulators on the issue of responsible AI .
Unlocking the benefits of Generative AI can expose the business to many risks , ranging from privacy violations to an array of data-related prejudices that can arise when building and using machine-learning models . How does the CIO solve this trade-off ?
Like any new technology , Generative AI ’ s adoption does not come without challenges and risks . Brand image is at stake , so it is to the advantage of every AI adopter to consider the risks to security and customer privacy before taking any steps toward adoption .
Trade off
Generative AI ’ s risks stem from its dual role as both an inward- and outward-facing tool . Increasingly , organisations are going beyond cost optimisation to transform
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