"We all dance to a mysterious tune, intoned in the distance by an invisible piper.” ― Albert Einstein Music: Ryan Taubert - Absolution
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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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Scooped by
Decision Intelligence
January 30, 2017 8:18 PM
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"We all dance to a mysterious tune, intoned in the distance by an invisible piper.” ― Albert Einstein Music: Ryan Taubert - Absolution
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Scooped by
Decision Intelligence
January 30, 2017 7:22 PM
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A new guide for designers encourages them to create products that stay in closed loops and business models that discourage waste.
Circular design and decision intelligence have a lot of overlap: DI can be used for systems where the waste from one part of the system is the input to another.
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Scooped by
Decision Intelligence
January 28, 2017 10:59 PM
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Psychologist Michal Kosinski developed a method to analyze people in minute detail based on their Facebook activity. Did a similar tool help propel Donald Trump to victory?
Probably the most important article this year. We must all understand what Cambridge Analytica did. Please read, friends.
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Scooped by
Decision Intelligence
January 25, 2017 3:52 PM
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Apply for Director/Lead of Decision Engineering (Intelligence) position at GrubHub, Inc. in Chicago, IL on Jobing.com. - Job ID: 18720130
I'm seeing more and more DI companies, and hiring is increasing. Here's one from GrubHub. Go for it!
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Scooped by
Decision Intelligence
December 9, 2016 4:30 AM
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"Gongos, Inc. is a decision intelligence company that partners with Global 1000 corporations to help build the capability and competency in making great consumer-minded decisions."
The latest news from a DI pioneer.
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Scooped by
Decision Intelligence
December 8, 2016 1:33 AM
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Making an important decision is never easy, but making the right decision is even more challenging.
Three steps: understanding causality, improving forecasts, and sorting relevance. A nice way to think about some key DI concepts, with some cognitive bias and inside/outside view thrown in for good measure.
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Scooped by
Decision Intelligence
December 8, 2016 1:24 AM
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Mastercard has introduced Decision Intelligence, a comprehensive decision and fraud detection service.
Nice to see DI gaining traction.
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Scooped by
Decision Intelligence
December 6, 2016 8:11 PM
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So I look at the landscape, as many of you do, and try to figure out how to move the right levers to avoid those futures. But every lever you can move makes another lever move in the other direction. For every action, there’s an equal and opposite reaction ...Nobody But Us is going to set the initial conditions for the future of the Internet. Nobody But Us — those of us in this room, and our communities outside of this room, and our opponents who want to abuse the Internet to control us or steal from us or attack us — is going to determine which science fictional future we’re going to live in, whether it looks like the Maelstrom, or Big Brother, or both, or neither. Nobody But Us is going to create the future that we want. We are the butterflies. This is water. It’s up to us, all of us, chaos muppets and order muppets alike, to fight dystopia.
Looking out from inside the vortex, sometimes you get a glimpse of its shape.
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Scooped by
Decision Intelligence
December 1, 2016 5:05 PM
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AI/ ML friends: I'll be attending the Frontier Development Lab's Big Think on December 15 in San Francisco. This is an important domain for machine learning, so I hope you can join me there.
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Scooped by
Decision Intelligence
November 25, 2016 2:43 PM
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"This year, our priority is customer experience. Everything we do must connect to that." "We'll upgrade the network in a neighborhood when the bandwidth utilization exceeds 80%." "I'm going to get rich, then I'll be happy." Good ideas, on the surface. Problem is: they're often wrong. And they share a common thought pattern..."
To take AI to the next level (and to use it to solve the grand challenges), we need a good understanding of how the world works. And for most of that thinking, it's not about facts and conclusions, but actions that lead to outcomes. Unfortunately, we can get lost along the way between the two. "Death by proxy" is a widespread pattern.
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Scooped by
Decision Intelligence
November 23, 2016 12:56 AM
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So this is pretty basic. But it's huge. Problem: You are working at a bank and have been tasked with developing a new customer care program. You're making good progress, and reach out one day to a colleague for their ideas. Word of the meeting gets around, and an executive walks into your office one…
As I build DI solutions for clients, I am increasingly using DI-based mental models in my day-to-day work and personal lives. This is one that's I've found particularly valuable as I and my friends have our agency removed without a commensurate removal of responsibility. Explaining the simple necessity of aligning authority and responsibility is an incredibly useful tool.
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Scooped by
Decision Intelligence
November 14, 2016 8:32 PM
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Wednesday, Nov 16, 2016, 6:00 PM
Longmont Museum and Cultural Center
400 Quail Rd Longmont, CO
Artificial Intelligence: A Perspective From Pioneers Big Data, Machine Learning and Artificial Intelligence. These are among the biggest knowledge technologies changing everything. Imagine how much Google, Facebook and other companies understand you. How can you learn what these technologies are and what they can do? To see the future it helps to ...
Artificial Intelligence: A Perspective From Pioneers
Big Data, Machine Learning and Artificial Intelligence. These are among the biggest knowledge technologies changing everything.
Join me in Longmont CO Wednesday night for what should be a great panel. I'll be talking about machine learning, AI, decision intelligence, and new developments like the Silicon Valley Simcenter.
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Scooped by
Decision Intelligence
September 25, 2016 2:24 PM
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We could easily let this massive clockwork of complexity overwhelm us. If it’s all connected, where and how shall I intervene? Isn’t it all too big for me to do anything about? Again, this is the beauty of interdependence. Tug at the right piece of frayed string and the whole rug will unravel before you....Humanity needs to think systemically. We need to act from a place of holistic insight.
The latest explanation of the critical importance of systems thinking from the incomparable Joe Brewer.
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Decision Intelligence
September 21, 2016 5:37 PM
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Nobody understands why deep neural networks are so good at solving complex problems. Now physicists say the secret is buried in the laws of physics.
I've been getting off-the-charts successful results with deep learning lately, and this article explains a bit of why. It seems that, although there are an infinite number of models that could possibly be built, the universe is constrained and so reality only follows a subset of them. And deep learning models a similar subset. So by choosing a structure that emulates the hierarchical structure of the human brain, which also evolved to model that same subset of functions, deep learning doesn't have to search an infinity of mathematical functions, rather a much smaller space. And that's how it can be tractable. How cool is that?
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Scooped by
Decision Intelligence
September 15, 2016 1:09 PM
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There is more to selling than knowing who will buy. Knowing when to contact a prospect and what to say can be just as important.
Absolutdata is one of a handful of companies selling solutions under the decision engineering (which we now call DI) banner. Marketing and sales tend to be the early adopters of advanced tech (e.g. google, Amazon), so here's another data point in this pattern: AI/decision engineering for sales analysis. Looks like a great new offering.
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Decision Intelligence
September 11, 2016 5:54 PM
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"I reprogrammed the simulation so it was possible to rescue the ship"
Please read this terrific article by my friend @stevebrant. A rich fictional world is essential for the kind of systems change that we need for DI to be widespread. And Star Trek: Discovery may well be the right vehicle.
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Decision Intelligence
August 31, 2016 12:17 AM
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Making decisions based on invisible inputs is like building a sky scraper without a blue-print. Yet that is the norm, even for very complex problems
Please enjoy my TEDx Livermore talk. This is the core of the decision intelligence vision. Please share.
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Rescooped by
Decision Intelligence
from Sustainability Reporting and Communication
August 20, 2016 3:38 PM
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It's time for integrated thinking — or the development of business models, strategies and decision-making that integrate concerns for society and the environment into the pursuit of profitability — in integrated reporting.
We can talk about new things like decision intelligence all we want, but we need to meet organizations where they are at today: and reporting is done by everyone.
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Rescooped by
Decision Intelligence
from Changing World
August 20, 2016 3:31 PM
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So much is moving today from analysis to synthesis.
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Scooped by
Decision Intelligence
August 10, 2016 5:39 PM
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Hosts: Quantellia; SV SIMCenter; One Island, Ford Innovation presents Dr. Sheila Ronis: The Center for Complex and Strategic Decisions - Past, Present and Future - Wednesday, August 24, 2016 at The Ford Research and Innovation Center, Palo Alto, CA.
Join me August 24 in Palo Alto for this important speaker.
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Scooped by
Decision Intelligence
July 26, 2016 7:56 PM
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In the swirl of events, I'm often left wondering if there's something deeper going on. Our leaders seem to be increasingly missing the bigger picture. A glimpse, here and there, into the underlying cause of dead ends we've reached: problems with capitalism, the media, politics, climate, conflict, health care. Is there a common cause? ..."
When I ran across George Lakoff's article on direct versus systemic causation this morning, it crystallized the "one link think" theme that keeps crossing my mind as I observe world events and think about what's missing. New to me: the empirical evidence regarding a correlation between one- versus multi-link thinking and political preference.
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Scooped by
Decision Intelligence
July 14, 2016 11:43 PM
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"In this time of unprecedented global change, we need to be rooted in reality more than ever. Yet it is quite clear — by simply tracking all the ways people make an exodus from “the real” on a daily basis — that we are not doing this individually or as a collective humanity....there is a profound disconnect between what is needed and the outcomes we are getting....it is essential that we learn how to discern what is really going on. This means disconnecting from the endless streams of novelty on our social media feeds. It means studying the cultural logics of our political and economic systems. Deeply and thoroughly, it means understanding the history of what brought us to this period of mass turbulence that is now changing the very chemistry of our planet — and redefining our place in the world....What we aren’t doing is putting all the pieces together and acting on what we would see if we did so. As a knowledge synthesizer myself, I see where many of the patterns converge. But more watchful eyes are sorely needed. And better ways of coordinating ourselves toward collective action must follow from what we see together. This means we need a LOT more people connecting with reality.
This is one of the best manifestos on the importance of decision intelligence I've seen. And, like us, Joe Brewer realizes that Design is core to the solution to the problems we face. Any friends know Joe? Yet another tribe member to connect to the hive.... :-)
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Scooped by
Decision Intelligence
July 11, 2016 5:00 PM
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"...executives started to base all of their business decisions on the goal of boosting their firms’ stock prices. When corporations become financialized, executives turn their attention away from investing in the productive capabilities of employees, which is the basic building block for rising American living standards. They also tend to allocate fewer resources to research and development, which is where innovation happens. Instead, executives watch the stock market — in large part because their own compensation was increasingly based on the value of the company’s shares."
1980s Wall Street->executive shift to focus on shareholder value rather than productive employees / less investment in R&D->Business schools adapted curriculum to appeal to MBAs looking for a "quick buck"->by 1990s shareholders viewed as only constituents-> today focus on Wall Street / quant / modeling rather than on focusing on how to run a business->many teachers don't understand negative impacts of shareholder value (despite Jack Welch calling it "the dumbest idea in the world".
My $0.02: this is also an example of an increasing focus on "hard" (e.g. financial) factors rather than "soft" (e.g. social utility) factors in the face of global complexity and competition.
DI relevance: look at the first line: it's about business decisions that don't include long-term and soft factors. That's our mission, people. Let's do this.
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Scooped by
Decision Intelligence
July 10, 2016 3:55 PM
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"A service that sends someone to fill your car with gas.
A service that sends a valet on a scooter to you, wherever you are, to park your car.
A service that will film anything you desire with a drone.
A service that will pack your suitcase — virtually."
A very important article, reflecting a growing sentiment in technology circles that we need to focus on the grand challenges. DI is a road map for bridging the two worlds: hooking in the the big data / machine learning folks complex decisions.
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Scooped by
Decision Intelligence
July 10, 2016 1:12 PM
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"There is a big mistake that many companies are making, spending too much time on their data."
Please enjoy this techemergence interview with me. I touch on intelligence augmentation (IA), machine learning in vision, text, and other domains, the emerging decision intelligence ecosystem, the limits of data, and how to hire a machine learning consultant.

Some audio and visuals to balance your diet of text...