Please enable JavaScript.

Coggle requires JavaScript to display documents.

Building the AI-Powered Organization - Coggle Diagram

- - - - Leaders also often think too narrowly about AI require-
        ments. While cutting-edge technology and talent are certainly needed, it’s equally important to align a company’s
        culture, structure, and ways of working to support broad AI adoption.
        
        To scale up AI, companies must make three shifts:
        From siloed work to interdisciplinary collaboration. AI has the biggest impact when it’s developed by cross-
        functional teams with a mix of skills and perspectives.
        
        From experience-based, leader-driven decision
        making to data-driven decision making at the front line. When AI is adopted broadly, employees up and down the
        hierarchy will augment their own judgment and intuition with algorithms’ recommendations to arrive at better answers
        than either humans or machines could reach on their own.
        
        From rigid and risk-averse to agile, experimental,
        and adaptable. Organizations must shed the mindset that an idea needs to be fully baked or a business tool must have
        every bell and whistle before it’s deployed.
- - - - But a company’s culture may also have distinctive characteristics that contribute to resistance.
- - - - Organizations needn’t focus solely on quick wins; they
        should develop a portfolio of initiatives with different time horizons.
- - - - Translator. Analytics translators often come from the
        business staff and need fundamental technical training
- - - - Track and facilitate adoption. Comparing the results of
        decisions made with and without AI can encourage employees to use it.
        
        Provide incentives for change. Acknowledgment
        inspires employees for the long haul.