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Big Data

Big Data. Why Folks Like It: . Why Folks Fear It tp;opo. Big Privacy Losses Big Brother Data abuse? Regulatory increases? Regulatory abuse? Supplier intrusion? More management work? Less competitive advantage?. Big Knowledge Gains Big Potential Yield increases? Variety selection?

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Big Data

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  1. Big Data Why Folks Like It: Why Folks Fear It tp;opo Big Privacy Losses Big Brother Data abuse? Regulatory increases? Regulatory abuse? Supplier intrusion? More management work? Less competitive advantage? • Big Knowledge Gains • Big Potential • Yield increases? • Variety selection? • Fertility response? • Cost savings? • Automatic documentation? • Environmental benefits?

  2. Deere’s

  3. Pioneer’s

  4. Big Data

  5. Big Data The pile of what we don’t know about the data issue is much bigger than the pile of what we do know!

  6. Big Data • How much is it worth? • What are the risks? • How can we protect our interests? • Who determines how the data will be used? • How can the data be misused? • Who owns/controls it? • How do we exchange value for it? • Who’s looking out for us? • And many, many more.

  7. Data Questions And those are just the things that John Deere thinks about!

  8. AFBF Principles:

  9. AFBF Principles: We’re pretty sure we agree, but it’s likely that the devil, (as usual) is hiding in the details.

  10. Data Questions For example, some worry why we say “control” versus “own” when it comes to data.

  11. AFBF Principles: It’s simple: The farmer owns the data.

  12. Data Questions • But what if the farmer is a shares tenant and the equipment and software is owned by a custom applicator who spreads fertilizer for the local fertilizer dealer? • And who owns the machine data—hours worked, fuel consumed, power used?

  13. Data Questions • Does the data belong to the farmer? • Does the farmer share ownership with the landlord who’s paying for half the fertilizer? • Does it belong to the fertilizer dealer who contracted with the custom operator? • Does it belong to the custom applicator who bought the hardware and software to collect the data and spread the fertilizer?

  14. Data Questions • That’s why we talk about who controls the data (who gets to use the data, and how they use it). That’s what counts. • And it could be a lot easier to agree on control than to decide once and for all on who owns it.

  15. Data Questions Bottom line: We’ve got a lot of things left to sort out. It’s almost inevitable that lawyers will want to be involved. But if we work together we’ve got a much better shot at a happy ending.

  16. Big Data Now would be a really good time to work together and figure it out.

  17. Big Data

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