Site Tools


capita_selecta:knowledge_management:knowledge_management

Differences

This shows you the differences between two versions of the page.

Link to this comparison view

Both sides previous revisionPrevious revision
capita_selecta:knowledge_management:knowledge_management [2024/12/04 09:44] avdoesumcapita_selecta:knowledge_management:knowledge_management [2024/12/04 09:54] (current) – [1.2 AI toegevoegde waarde] avdoesum
Line 37: Line 37:
 [[https://www.pwc.com/us/en/tech-effect/ai-analytics/ai-predictions.html|PwC report 4 december 2024, AI predictions]] [[https://www.pwc.com/us/en/tech-effect/ai-analytics/ai-predictions.html|PwC report 4 december 2024, AI predictions]]
  
-  * Unordered List ItemMaking AI intrinsic to the organization is vital, because making “big leaps” (such as new business models) is only one source of game-changing AI value. The other is the cumulative result of incremental value at scale: 20% to 30% gains in productivity, speed to market and revenue, first in one area, then another — until the company is transformed. +  * Making AI intrinsic to the organization is vital, because making “big leaps” (such as new business models) is only one source of game-changing AI value. The other is the cumulative result of incremental value at scale: 20% to 30% gains in productivity, speed to market and revenue, first in one area, then another — until the company is transformed.  
 +  * Conduct a formal strategy assessment. To set priorities for both AI at scale and your moonshots, identify what AI can and will do for your company and industry — where it will **take out costs, create new value, raise customer expectations, threaten core businesses and support new business models**. AI may, for example, squeeze margins in one line of business but help another boom with cost-effective, hyper-personalized offerings.
  
  
capita_selecta/knowledge_management/knowledge_management.1733301899.txt.gz · Last modified: by avdoesum