Tobias Zwingmann outlines nine key principles for turning AI initiatives into profit, grouped into three areas: Mindset, Strategy, and Execution.
โ๏ธ ๐ ๐ถ๐ป๐ฑ๐๐ฒ๐
๐ญ. ๐๐ ๐ฎ๐ ๐ฎ ๐๐ผ๐๐ฟ๐ป๐ฒ๐, ๐ก๐ผ๐ ๐ฎ ๐๐ฒ๐๐๐ถ๐ป๐ฎ๐๐ถ๐ผ๐ป: AI thrives on continuous learning, adaptation, and improvement, aligned with an organization's maturity. It's a business-driven effort, not just technical.
๐ฎ. ๐๐๐ผ๐ถ๐ฑ ๐ง๐ฟ๐ฒ๐ฎ๐๐ถ๐ป๐ด ๐๐ ๐๐ถ๐ธ๐ฒ ๐ฎ๐ป ๐๐ง ๐ฃ๐ฟ๐ผ๐ท๐ฒ๐ฐ๐: Success requires deep business integration, readiness, and refinement. Viewing AI as plug-and-play or something that "learns on its own" will fail.
๐ฏ. ๐ฃ๐ฟ๐ถ๐ผ๐ฟ๐ถ๐๐ถ๐๐ฒ ๐๐๐๐ถ๐ป๐ฒ๐๐ ๐ก๐ฒ๐ฒ๐ฑ๐ ๐ข๐๐ฒ๐ฟ ๐ง๐ฟ๐ฒ๐ป๐ฑ๐: Balance between flashy, low-value AI applications and overapplying AI to every problem. The true opportunity lies in solving specific, valuable business challenges.
โ๏ธ ๐ฆ๐๐ฟ๐ฎ๐๐ฒ๐ด๐
๐ฐ. ๐๐ผ๐ฐ๐๐ ๐ผ๐ป ๐๐ผ๐ป๐ด-๐ง๐ฒ๐ฟ๐บ ๐๐บ๐ฝ๐ฎ๐ฐ๐: AI reshapes market dynamics, including relationships with suppliers and customers. Position strategically to harness this evolution.
๐ฑ. ๐๐ฎ๐น๐ฎ๐ป๐ฐ๐ฒ ๐ค๐๐ถ๐ฐ๐ธ ๐ช๐ถ๐ป๐ ๐๐ถ๐๐ต ๐ฆ๐๐ฟ๐ฎ๐๐ฒ๐ด๐ถ๐ฐ ๐๐ฒ๐๐: Start with well-understood problems and mature technologies before advancing to complex areas. Build risk tolerance over time.
๐ฒ. ๐๐ฒ๐๐ฒ๐น๐ผ๐ฝ ๐๐ ๐ฅ๐ผ๐ฎ๐ฑ๐บ๐ฎ๐ฝ๐, ๐ก๐ผ๐ ๐๐๐ผ๐น๐ฎ๐๐ฒ๐ฑ ๐ฃ๐ฟ๐ผ๐ท๐ฒ๐ฐ๐๐: AI initiatives should be interconnected. Each project builds capabilities, creating a comprehensive roadmap linking data, technology, and processes.
โ๏ธ ๐๐ ๐ฒ๐ฐ๐๐๐ถ๐ผ๐ป
๐ณ. ๐๐ฒ๐ด๐ถ๐ป ๐๐ถ๐๐ต ๐๐๐ด๐บ๐ฒ๐ป๐๐ฎ๐๐ถ๐ผ๐ป ๐๐ฒ๐ณ๐ผ๐ฟ๐ฒ ๐๐๐๐ผ๐บ๐ฎ๐๐ถ๐ผ๐ป: Gradually progress from assisting humans to full automation. Attempting automation prematurely wastes resources and erodes trust.
๐ด. ๐๐ฝ๐ฝ๐น๐ ๐๐ต๐ฒ ๐ฎ๐ฌ/๐ฎ๐ฌ ๐ฅ๐๐น๐ฒ: Prototype AI use cases incrementally within ~20 days and ~$20k to ensure they are impactful, feasible, and measurable.
๐ต. ๐๐บ๐ฏ๐ฟ๐ฎ๐ฐ๐ฒ ๐๐๐ฒ๐ฟ๐ฎ๐๐ถ๐ผ๐ป ๐ฎ๐ป๐ฑ ๐๐ฒ๐ฎ๐ฟ๐ป๐ถ๐ป๐ด: Plans must adapt to changing realities. Flexibility and continuous improvement are vital to long-term success.
๐๐ผ๐ป๐ฐ๐น๐๐๐ถ๐ผ๐ป: Profit from AI comes from adopting the right mindset, executing with proven principles, and balancing future aspirations with present-day value delivery. The focus should remain on practical, business-aligned outcomes rather than tools or budgets.
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