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November 10, 2013 8:40 PM
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Decision Intelligence News
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Decision Intelligence News
Decision Intelligence (DI) is the discipline concerned with how organizations and individuals design, support, and improve decision making at scale. It connects actions to outcomes in context by integrating human judgment, data, models, text, and AI into coherent decision systems. Decision Intelligence News curates developments across DI and related fields, including AI, machine learning, governance, enterprise architecture, orchestration, measurement, and decision modeling. Learn more at www.opendi.org and www.learn-di.com. Curated by Decision Intelligence |
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November 10, 2013 6:20 PM
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A team of bioinformatics experts made the most accurate predictions in a challenge to identify signaling networks in breast cancer cells.
Decision Intelligence's insight:
Causal reasoning and pattern recognition applied to breast cancer. Way to go!
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November 10, 2013 10:29 AM
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Speakers at this week’s Big Data Roadshow, sponsored by TechAmerica Foundation and the Stanford Center for Professional Development, at Stanford described current projects where big data is improving human healthcare. ...
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November 10, 2013 10:17 AM
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An emerging business discipline, Decision Intelligence is upending the that way that organizations, governments, and companies make decisions. The Decision I...
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November 10, 2013 10:14 AM
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"Early adopters of Big Data analytics have gained a significant lead over the rest of the corporate world."
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November 10, 2013 12:29 AM
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One hundred years from now, the role of science and technology will be about becoming part of nature rather than trying to control it. - Joichi Ito, MIT Media Lab director
In complex systems, trade-offs are everywhere. Engineers designing technological artifacts carefully balance competing objectives. An economy allocates resources like land, labor and capital to one use or another. Even evolution faces trade-offs.
Decision Intelligence's insight:
Some insights into how to make trade-offs in complex systems when there are multiple competing outcomes.
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November 10, 2013 12:22 AM
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A technique called deep learning could help Facebook understand its users and their data better.
Decision Intelligence's insight:
Facebook joins the emerging "deep learning" trend.
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November 10, 2013 12:17 AM
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Machine Learning as a Service: Swift IQ Predicts the Future ProgrammableWeb (blog) Swift IQ belives Machine Learning as a Service (MLaaS) will become a key market in the near future as more providers look to integrate predictive APIs with their...
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November 10, 2013 12:11 AM
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The decision is only as good as the data that supports it” is an often-misunderstood claim. For example, a pollster can reliably predict an election result based on interviews with a tiny percentage of the electorate.
Decision Intelligence's insight:
Often it's the decision that matters, more than the data that supports it. Why? Because data is just one ingredient. A complex systems model, human expertise, and other factors are needed to complete the picture
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November 10, 2013 12:09 AM
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(Image) (If you’re honest, you’ll admit that the art of #storytelling wins over “the facts” in most #business cultures.
Decision Intelligence's insight:
"while business cultures like to profess “In God we trust; all others must bring data,” the reality is that human beings still like a gripping narrative, and emotional stories can sometimes override what seems like the best decision on paper"
This is true all too often, unfortunately.
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from Shared Decision Making
November 10, 2013 12:06 AM
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A rapidly growing groundswell of public opinion in Australia is pushing strongly for a much stricter system to ensure that health care decisions are made more cooperatively between the patient and the health care provider.This is the firm view of ...
Via Informed Medical Decisions Foundation
Decision Intelligence's insight:
There's a complex interplay between doctor, patient, data, and research in medical decision making. And an emerging discussion around it.
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The Black Swan has been highly influential on our work at http://www.quantellia.com and www.tdi3.org, and now it's time to read Antifragile. Why: "...efforts at micromanaging complex systems has increased our vulnerability, and we would be better off if those systems were able to self-correct. He uses a rich trove of historical examples, anecdotes, and mathematics to prove his assertions."
We experience unintended consequences everywhere, especially on the part of our clients who are over-focusing on "Big Data" as the ultimate solution to evidence-based reasoning (instead of smart models, which should expose antifragility), so this resonates deeply.