ZDNET outlines five strategic shifts to drive real AI value
Updated
Updated · ZDNet · May 1
ZDNET outlines five strategic shifts to drive real AI value
5 articles · Updated · ZDNet · May 1
The report says firms should measure AI by outcome-based KPIs, not time saved, citing examples from AOP Health, Gartner, IDC and Segro.
Its five recommendations are to focus on business outcomes, define operational benefits, strengthen IT-business cooperation, let staff share successful use cases, and recognise wellbeing gains from time returned.
The article argues adoption rates alone can mislead as AI spending spreads beyond IT into operations, marketing and customer service, where leaders increasingly want clear return on investment.
With most AI projects failing to deliver measurable value, what are the real secrets behind the 20% of organizations capturing most of AI's economic gains?
How can companies overcome data quality and strategic alignment hurdles to ensure AI delivers both operational impact and human-centric benefits?
Can employee well-being and informal 'watercooler' productivity truly be quantified—and should they be central to measuring AI's business value?