What The First Wave of AI Failures Should Teach Every Organization
Lessons from ‘the most expensive learning exercise in history’ and how to make sure the second wave of ‘massive’ AI expenditures gets it right.
Lessons from ‘the most expensive learning exercise in history’ and how to make sure the second wave of ‘massive’ AI expenditures gets it right.
‘The central question,’ says i-GENTIC board chairman Washington, ‘is how to sustain innovation without compromising safety, reliability or trust.’
Working for a startup in the self-driving vehicle world, Nexar CFO Patel has learned to make a shift: ‘Embracing ambiguity while guiding others through it has been a defining evolution in my leadership style.’
From streamlining processes to more accurate forecasting, artificial intelligence has the potential to reshape how finance teams operate. The challenge for CFOs is identifying where the technology can deliver real efficiency—and implementing it with the right controls and governance.
To move from counting value to creating it, CFOs must shift from manual record-keeping to AI-native systems that can predict, reason and act.
Now that AI makes ‘smart’ the new average, what’s the new advantage?