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The Data-Literate Mind

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The Data-Literate Mind

Searching for Truth in the Age of Data and AI

Ioannis Petrakis,

15 min read
8 take-aways
Audio & text

What's inside?

Learn to navigate today’s data- and AI-driven world thoughtfully and proactively.

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Editorial Rating

9

getAbstract Rating

  • Analytical
  • Scientific
  • Applicable

Recommendation

Data-driven decisions shape nearly every aspect of modern life. Research data affects which treatments doctors prescribe. User profiles determine what appears in their social media feeds. And training datasets control the answers people get from generative AI. In this timely read, analytics and AI expert Ioannis Petrakis explains how data and data-driven outputs that may seem objective are, in fact, the results of choices about what to measure, how to measure it, and how to interpret the results. His crash course in how data can both clarify and mislead will help you make better-informed decisions in an AI-driven world.

Summary

AI has transformed laypeople’s relationship with data, but human judgment remains of the utmost importance.

Data is everywhere in modern life, shaping your environment and making decisions that affect which jobs you get, the insurance premiums you pay, and more. People design buildings to align with regional weather data and create streets based on traffic flow numbers. Companies place advertisements where they’re most likely to reach their target consumers. And social media users see posts that the platform’s algorithms determine are most likely to engage them based on their past behavior patterns.

Until relatively recently, human experts received and interpreted the outputs of data-driven systems. They were the metaphorical pilots of the information plane, and non-experts were the passengers. But the advent of generative AI changed this dynamic, shifting anyone with access to ChatGPT or similar tools into the cockpit — though the kind of plane they’re flying is of a vastly different sort.

Generative AI systems don’t give you data you can use to draw conclusions or make decisions; they use patterns in their training data —&#...

About the Author

Ioannis Petrakis is the principal data analytics and AI expert at Siemens — a leading German technology company.

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