Steven Flinn

@stevenflinn

Inventor, author of The Learning Layer & Optimizing Data-to-Learning-to-Action, CEO of ManyWorlds, Inc.

Houston
Vrijeme pridruživanja: svibanj 2009.

Medijski sadržaj

  1. 21. sij

    Unsupervised learning by a --4 month old wins and gets to the next level of the game😆

  2. 2. sij

    Entering the new year and decade, we naturally think about renewing and sustaining our businesses. The Data-to-Learning-to-Action method uniquely delivers the portfolio insights needed to stay on (or get back on!) the path of long-term :

  3. 25. pro 2019.

    -- you can never start too early :)

  4. 20. pro 2019.
    Odgovor korisniku/ci

    Thanks--already have my MIT Press version from 2003. I must have been thinking about relationships to cellular automata, etc. at the time. :)

  5. 28. lis 2019.

    Latest howler from the PTAB on subject matter eligibility. This claim is ineligible because applying at the time of the invention (2004) was conventional! And behavioral priority rule details are just part of the so don't help. Etc.

  6. 25. lis 2019.

    Following up on the broader Explanatory Integrity concept, summary factors to evaluate are 1) intentional cognitive "hacks" by sources that include fabrications, emotional triggering, etc.; 2) biases by sources, and 3) explanatory quality such as valid probabilistic reasoning.

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  7. 29. kol 2019.

    Amazing results from on enhancing capabilities of by integrating with models from physics such as Occam's razor, symmetry, etc.

  8. 24. kol 2019.

    Cool new results on memory consolidation: I'd like to see the results on memory consolidation of prose alone and then prose + music per the Memory Modulation hypothesis of the evolution of human musicality:

  9. 31. srp 2019.

    Most organizations are valuing and prioritizing their opportunities for value creation incorrectly. The Total Value way, which includes explicitly quantified learning value, is the only proper way.

  10. 12. srp 2019.

    Our ManyWorlds HQ is also a certified monarch waystation, providing nectar sources to support their migration and the larval food source, . Less frequent mowing of several acres has yielded lots of native milkweed, shown here releasing seeds.

  11. 29. svi 2019.

    Same old story--not understanding limiting constraints before plunging into an IT implementation or : "data-related challenges are a top reason IBM clients have halted or canceled artificial-intelligence projects."

  12. 5. svi 2019.

    Excellent article on clarifying aspects of , particularly distinguishing between prediction and (i.e., counterfactual prediction): Both are included in the Predictive Analytics element of a data-to-learning-to-action process.

  13. 29. tra 2019.

    What's the -sounding data-to-learning-to-action method got to do with ? A lot, actually. Because the method is all about value; in particular, quantifiable financial value. For areas that have traditionally been resistant to that.

  14. 25. tra 2019.
    Odgovor korisnicima i sljedećem broju korisnika:

    A job I'm particularly proud of is building grain silos. Air tight and still standing decades later!

  15. 24. tra 2019.

    Baseball & basketball aren't played like they used to be. Nor is Jeopardy. Strategic application of has transformed them. Playing the old way loses. Don't play the old way with your business!

  16. 20. ožu 2019.

    Short (< 10 mins) podcast about my upcoming talk at the Tech Conference, titled "Data-to-Learning-to-Action: Minds and Machines."

  17. 22. sij 2019.

    The primacy of decisions and associated data-to-learning-to-action processes in driving business performance in today's world

  18. 27. stu 2018.

    Ever hear the proclamation that, "IT needs to be closer to the businesses!" Probably about a hundred times. The optimizing data-to-learning-to-action perspective is THE perspective that automatically aligns the businesses and IT to deliver maximum value.

  19. 16. stu 2018.

    Sometimes there is only ONE right answer. The Optimizing Data-to-Learning-Action method isn't just a way to prioritize enterprise initiatives such as . It is the ONLY way that provably delivers maximum value.

  20. 31. lis 2018.

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