The Cloudcast Tempering AI Expectations in the Enterprise
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Apr 13, 2025 Explore the growing concerns around AI not meeting enterprise expectations. Discover how companies face hurdles with data quality and misalignment between AI and human use. Emphasizing the need for realistic strategies, the conversation draws parallels to past tech advancements. Learn about the challenges of shifting consumer expectations to enterprise applications and the complexities of measuring AI success. Lastly, the discussion tackles the divide between optimistic predictions and the uneven distribution of AI's impact in businesses.
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AI Adoption Curve
- Most companies aren't realizing business value from AI because they haven't deployed it in production.
- AI adoption follows a typical technology adoption curve; most projects are still in pilot mode.
Enterprise vs. Consumer AI
- Applying enterprise expectations to consumer AI technologies leads to unmet expectations.
- Generative AI is expensive, making ROI challenging for enterprises early on.
Tech-First vs. People-First
- AI implementation often prioritizes technology over people and their needs.
- This "tech-first" approach can hinder successful AI adoption as human interaction is crucial.