AI Data is Everywhere But it Needs to be Relevant | Opinion
Summary
The article explains that while AI and search engines can find lots of data quickly, the real challenge is deciding which information is important and timely for businesses. Many companies struggle to get useful results from AI because the systems do not have enough context to know what data really matters or when to alert people.Key Facts
- Data is widely available, but finding the right, relevant data is difficult.
- AI can summarize and compare data but cannot automatically know what is important for each business.
- A McKinsey report shows that almost two-thirds of companies have tried AI agents, but fewer than 10% get clear benefits.
- 80% of companies say data limitations block AI success.
- MIT research suggests 95% of organizations see no return from generative AI projects, meaning they fail to add value.
- Good AI systems need to deliver relevant info at the right time for decisions to be useful.
- The article warns against too many alerts and dashboards that create noise instead of useful intelligence.
- The future success of AI depends on understanding what data matters, how current it is, and who needs to see it, not just adding more AI tools.
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