All Things Considered: How to Grow Profitably with AI
This feature presentation focusses on how to control the costs for Generative AI (GenAI) to enable your key business priorities. It explores the factors which set the table for GenAI cost optimisation and the drives which can optimise GenAI costs.
It provides representative GenAI project costs, ‘sunny day’ and ‘rainy day’ examples and the full range of considerations to move forward with your GenAI ambitions.
Industry CONTEXT
Key growth and investment, as well as return and cost trends in AI
“Organisations are citing limited returns on their company-wide AI investments. 90% of CIOs believe challenges in managing AI costs limits their ability to get value from AI”
Determining Factors
Strategic factors which set the table for GenAI cost optimisation, as well GenAI project cost guidance
“Though most organisations are implementing GenAI through vendor pre-built solutions today (43% of implementations), custom-built GenAI solutions will become much more common in two years’ time (from 19% in 2025 to 36% in 2027).”
Cost Drivers
Where strategic decisions need to be made to optimise GenAI implementation and run costs
“By collectively managing six key cost drivers, retailers can optimise their overall enterprise-wide GenAI costs by a factor of 30x – 200x versus what they planned.”
Industry Examples & AI Acceleration
GenAI ‘sunny day’ and ‘rainy day’ project examples and their learnings, as well as the full range of considerations to accelerate retailers’ GenAI ambitions
“Retailers need to identify, assess and prioritise impactful GenAI use cases, whilst building the capabilities for their entire organisation to profitably and safely deliver them.”
Keynote Panel: AI – Disruptive Game-Changer or Seriously Overrated?
Is AI just a tool amongst many other or is it an essential transformative technology?
“GenAI adoption has grown significantly from 33% to 65% from 2023 to 2024. At the same time, GenAI has yet to live up to its business value potential. Organisations are citing limited returns on their company-wide AI investments.”