Decision Intelligence News
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Decision Intelligence News
AI/BI/CI/DI: Decision intelligence (DI) solves the world's most complex problems.   It connects human decision makers to technologies like machine learning, AI, deep learning, visual decision modeling, complex systems modeling, big data, predictive analytics, UX design, statistical analysis, business intelligence, business process management, causal reasoning, evidence-based analysis, and more. See https://en.wikipedia.org/wiki/Decision_Intelligence. For an overview, see the webinar at http://youtu.be/XRTJt3bVCaE, http://www.lorienpratt.com, and the Decision Intelligence group: http://www.linkedin.com/groups?gid=205078.   Also, my company offers DI and machine learning consulting services.  See http://bit.ly/1X8O2zF to learn more.  Don't miss the latest DI news!  Click here to sign up: http://bit.ly/29wYd1u.
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In her Institute for the Future talk broadcast on national television, Dr. Lorien Pratt shows her prototype immersive visualization DI tool and offers new insights on Decision Intelligence.

In her Institute for the Future talk broadcast on national television, Dr. Lorien Pratt shows her prototype immersive visualization DI tool and offers new insights on Decision Intelligence. | Decision Intelligence News | Scoop.it

You have a new superpower. Your choices have ripple effects throughout the world, and you have no idea what those impacts will be. Part of the future of DI is to understand that there are systematic patterns to those impacts.  

 

Dr. Pratt demos an immersive visualization tool that lets us see these patterns and interactions, make changes, and see immediately how these changes lead to different outcomes.  

 

I think there are a lot of people who feel overwhelmed by information. The executives I talk with say this in particular, “I don’t want to talk with these quants; I can’t understand a word that they say.” If they have interfaces like this [visualization tool], they will engage with the evidence, the data, and the AI I think that the biggest initial impact will be in our sense of agency, that we will balance out the inequity that comes when technologists dominateand send us things and make us click things and make us do things, and we start to use this for our own needs ….[greater] equalityWe democratized the computer, didn’t we? Let’s democratize AI [other] complex [technologies, too]. 

Lorien Pratt's insight:

You have a new superpower. Your choices have ripple effects throughout the world, and you have no idea what those impacts will be. Part of the future of DI is to understand that there are systematic patterns to those impacts. 

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Congratulations to Decision Intelligence Tokyo. Omedetou gozaimasu!

Congratulations to Decision Intelligence Tokyo. Omedetou gozaimasu! | Decision Intelligence News | Scoop.it

Decision Intelligence Tokyo (DIT) is a non-profit organization in Japan. DIT is dedicated to making actionable artificial intelligence (AI) for the prosperity of commons. DIT connects experts (AI, ML, data scientists, and engineers)—for the development of next-generation actionable AI—which coordinates human decision-makers with data, models, and others. Actionable future AI supports humans to make responsible decisions.

Lorien Pratt's insight:

One of the indicators that a discipline is moving up the Gartner Hype Cycle is that it generates books, videos, user groups, and conferences. The new Tokyo DI user group joins Link, videos by Lorien Pratt and Cassie Kozyrkov, the LinkedIn Applied Decision Intelligence group, and  the Responsible AI/DI Summit & Ecosystem (RAIDI) as evidence of DI’s growing importance

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Link: How Decision Intelligence Connects Data, Actions, and Outcomes for a Better World on national television this Sunday

Link: How Decision Intelligence Connects Data, Actions, and Outcomes for a Better World on national television this Sunday | Decision Intelligence News | Scoop.it

Mark your calendars for Dr. Lorien Pratt’s Institute for the Future talk (presented last week) being broadcast on C-SPAN2 Sunday, February 9 at 8pm PT.

 

Dr. Pratt introduces her book Link (www.linkthebook.com) which describes the new field of Decision Intelligence (DI). Many people think that DI is the next generation of AI, but it also goes considerably beyond that context. She explains how DI is the mechanism by which humans will work hand-in-hand with technology to solve a new class of the most complex problems we face, like climate change and inequality. Pratt shows how decisions can be supported by AI, understood more effectively, and how the use of social messages fits into effective decision making. The broadcast consists of 1/2 Pratt's  presentation and the second half hour of Q&A hosted by Joy Mountford, of Ford’s Research Innovation Center, Palo Alto (RICPA) and the NextNow network.  During the Q&A, questions from a senior technologist audience, many of whom are also involved in DI-related initiatives, create a fascinating interchange.

 

Joe Boutte's curator insight, February 7, 4:41 PM

Thanks @LorienPratt.  Looing forward to your book!  Congratulations!

 
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Why in the world haven't we been doing DI all along?

Why in the world haven't we been doing DI all along? | Decision Intelligence News | Scoop.it

The complex, adaptive system…can’t be understood by reducing it to smaller parts, it must be viewed holistically. 

Lorien Pratt's insight:

This is the Absolute Best Introduction to the reason that we've been ignoring causation and decision intelligence principles for Millenia!!! And it's in comic book form.  ESSENTIAL READING FOR DI :-)

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Periculum Labs

Periculum Labs | Decision Intelligence News | Scoop.it

The Power of Decision Intelligence  

 

Finally, an AI platform that takes decision making to a completely new level  

 

Periculum Labs has pioneered advanced artificial intelligence technologies which enable organizations to optimize complex and high-risk decision-making. Our proprietary AI platform injects real-time intelligence into decisions – at scale. Autonomous transportation organizations can increase operational capacity, safely and sustainably. 

Lorien Pratt's insight:

Periculum Labs is an exciting company leveraging DI to take AI to the next level.

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What's New In Gartner's Hype Cycle For AI, 2019

What's New In Gartner's Hype Cycle For AI, 2019 | Decision Intelligence News | Scoop.it

Gartner considers the following AI technologies to be on the rise and part of the Innovation Trigger phase of the AI Hype Cycle. AI Marketplaces, Reinforcement Learning, Decision Intelligence, AI Cloud Services, Data Labeling, and Annotation Services, and Knowledge Graphs are now showing signs of potential technology breakthroughs as evidence by early proof-of-concept stories. Technologies in the Innovation Trigger phase of the Hype Cycle often lack usable, scalable products with commercial viability not yet proven.

Lorien Pratt's insight:

One way to view DI is as a technology that bridges the gap between Artificial Intelligence theory and practical enterprise AI applications. DI uses AI, data, human expertise, and other technologies to support organizations as they reason through complex cause-and-effect chains from policies and actions to business outcomes.  DI connects AI and ML to ROI, KPIs, and business decisions.

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Decision Intelligence Is the Near Future of Decision Making: A Gartner Trend Insight Report

Decision Intelligence Is the Near Future of Decision Making: A Gartner Trend Insight Report | Decision Intelligence News | Scoop.it
Making ever-faster decisions leveraging a maelstrom of data in ecosystems that are in constant motion, requires an assembly of increasingly complex techniques. Data and analytics leaders should use decision intelligence as a practical discipline framing a wide range of decision-making techniques.
Lorien Pratt's insight:

Gartner makes it clear Decision Intelligence will inform our decisions for some time to come.

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Artificial → Decision Intelligence – Data Science Student Society @ UC San Diego –

"AI, BI, CI. Artificial Intelligence, Business Intelligence, Collaborative/Collective Intelligence. What’s next? As an AI/DI intern at Quantellia this past summer, I have learned that Decision Intelligence (DI) spans all of the above, and seeks to crystallize a new field of responsible use of AI systems.

 

"But what is Decision Intelligence?

 

"Throughout my experiences contributing to different projects and interviewing Lorien Pratt, Quantellia’s Co-founder and Chief Scientist, I have come to understand that DI, put simply, helps people make better decisions, by bridging AI and ML with process methodology, visual mapping, and design thinking."

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Risk Roundup Webcast: Algorithmic Decision Making

Risk Roundup Webcast: Algorithmic Decision Making | Decision Intelligence News | Scoop.it

"Our whole infrastructure needs to be tuned up with security and risk management in mind.  Fortunately I think AI will help with that...we need a human/AI cooperation / collaboration...the challenges of data [will only increase]...you need the compute infrastructure that can handle all of that data...data becomes part of the value and the currency that a company or a society has that helps enable it to make better decisions but it becomes a burden in and of itself."

Lorien Pratt's insight:

Steve talks about how AI supports decision making, with a focus on provable algorithms and the necessity of handling vast amounts of data.

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Linear versus nonlinear thinking in recent events

In this short video, Kedge's Frank Spencer talks about the need to adopt a new mental model if we are going to navigate the future.

Lorien Pratt's insight:

We must shift our mindsets from reduction to synthesis, from linear to nonlinear thinking, and more. Frank Spencer reflects on recent events which highlight this challenge.

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1/2-hour keynote in Palo Alto by Lorien Pratt: Decision Intelligence: How AI and ML are Evolving to the Next Level

1/2-hour keynote in Palo Alto by Lorien Pratt: Decision Intelligence: How AI and ML are Evolving to the Next Level | Decision Intelligence News | Scoop.it
Lorien Pratt's insight:

I'll be presenting a half-hour keynote as part of the SAP Women in Data Science Silicon Valley 2019 event on March 5. 

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Retail AI: Death By A Thousand Cuts

Retail AI: Death By A Thousand Cuts | Decision Intelligence News | Scoop.it

"When people say 'AI software', what do they really mean? This is a critically important question to understanding the impact that AI can have on the retail industry (on any industry, really), and a significant source of the gap that exists between AI hype and reality.

 

"While McKinsey focuses on AI types of classification, prediction, and generation, I’ve found it more useful to look at natural language processing, computer vision, and prediction. But each of these are umbrella terms for lots of what amount to 'micro-capabilities', which is an important limitation when thinking about AI. Artificial General Intelligence (AGI, but sometimes referred to as Human-Level Artificial Intelligence) is at least 20 years off, according to experts in the field, and possibly 50 years. And both ends of the estimate acknowledge that some kind of breakthrough that we have not currently achieved would have to happen before we can get there – there is no current known path to achieving AGI."

Lorien Pratt's insight:

AI systems can be applied to human interactions, but the key to teaching machines how to intuitively read human behavioral cues still remains unknown. After all, how can an algorithm accurately interpret variables as subjective as speech inflection? With this in mind, how can 'Human-Level Artificial Intelligence' be viable within our lifetimes if we don't know how to get there yet? The capabilities of AI technologies are expanding at an incredible pace, but there is still so much we need to discover and explore before our machines will be able to know how we feel by the sound of our voice.

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10 Ways AI & Machine Learning Are Revolutionizing Omnichannel

10 Ways AI & Machine Learning Are Revolutionizing Omnichannel | Decision Intelligence News | Scoop.it

"For any omnichannel strategy to succeed, each customer touchpoint needs to be orchestrated as part of an overarching customer journey. That’s the only way to reduce and eventually eliminate customers’ perceptions of using one channel versus another. What makes omnichannel so challenging to excel at is the need to scale a variety of customer journeys in real-time as customers are also changing.

 

"89% of customers used at least one digital channel to interact with their favorite brands and just 13% found the digital-physical experiences well aligned according to Accenture’s omnichannel study. AI and machine learning are being used to close these gaps with greater intelligence and knowledge. Omnichannel strategists are fine-tuning customer personas, measuring how customer journeys change over time, and more precisely define service strategies using AI and machine learning. Disney, Oasis, REI, Starbucks, Virgin Atlantic, and others excel at delivering omnichannel experiences using AI and machine learning for example."

Lorien Pratt's insight:

Omnichannel is a strategy that uses a variant of systems thinking to understand the desires and needs of customers in various retail settings, as well as in many B2B environments. Machine learning and AI are providing greater understanding of these desires and needs and assisting in the decision-making necessary to provide customers with an optimal experience, thereby increasing satisfaction and sales while reducing unpleasant experiences and customer churn.

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ComputerAmerica: Quantellia, Decision Intelligence

The human-computer partnership is the future. Decision Intelligence (DI) gives us a formal way to integrate AI into existing decision making. Just having a structured way of thinking through complex decisions can really move the needle, and especially on big problems, even five percent can save lives or save money.

Lorien Pratt's insight:

DI is inter-disciplinary. As I have talked to decision makers in governments and companies worldwide, I have learned that where the innovation has to occur is in the interstitial spaces between disciplines. It’s not just where exciting developments can be built, it’s where they’re desperate for solutions.

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Link is a finalist for the prestigious 2020 PROSE award in Business, Management and Finance

Link is a finalist for the prestigious 2020 PROSE award in Business, Management and Finance | Decision Intelligence News | Scoop.it

Since 1976, the Association of American Publishers’ awards for Professional and Scholarly Excellence (PROSE Awards) have recognized publishers who produce books, journals, and digital products of extraordinary merit that make a significant contribution to a field of study in the humanities, biological and physical sciences, reference and social sciences.

Lorien Pratt's insight:

Dr. Pratt’s book Link: How Decision Intelligence Connects Data, Actions, and Outcomes for a Better World points out that most businesses review basic numbers, then make tactical and strategic decisions.  Most of the time, the review is based on historical or current numbers, and the task of thinking about how decisions will interact with the future is left as an exercise that happens inside the decision makers’ heads.  We can do much better.   

 

If we work backwards from business outcomes using a decision intelligence approach, we not only can integrate data, AI, and human expertise at multiple points in the decision process, we create a vehicle for exploring multiple futures and bringing forward simulation into the boardroom. 

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How decision intelligence can use data to help create a better world

How decision intelligence can use data to help create a better world | Decision Intelligence News | Scoop.it

You advocate using decision intelligence to take AI to the “next level” to help improve conditions in the world. Can you provide some examples of what you envision here? 

 

  • Instead of just using ML to identify where a climate-change-driven flood is likely to impact a country, use DI to choose between several prevention / remediation measures to minimize the cost of property and lives lost. 
  • Instead of just using ML to analyze the movement of asteroids, surround the ML model with a DI model to decide what to do to deflect one that is aiming for Earth (this is the nasa.ai's "deflector selector").
Lorien Pratt's insight:

DI is gaining momentum. In September Gartner told us that DI is “on the rise.” Now in this article Information Management explains to a broad audience of IT leaders how DI “bridges the gap from the data/AI stack to end users. 

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BCA strikes remarketing deal with Group 1 Automotive | Fleet Industry News

BCA strikes remarketing deal with Group 1 Automotive | Fleet Industry News | Decision Intelligence News | Scoop.it

The past 12 months have seen sustained investment in decision intelligence services and new digital technology, to make it easier than ever to do business with BCA. 

 

It continues to see ‘exceptional’ usage of the BCA Buyer app, designed to make it easier for customers to locate and never miss the vehicles that they’re interested in. 

Lorien Pratt's insight:

Decision intelligence is starting to provide business benefits to real world enterprises. DBCA Group, Europe’s leading vehicle remarketing company, is leveraging DI and AI to build partnerships and improve customer service.

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Decision Intelligence In HR: What is it and How to use it?

Decision Intelligence In HR: What is it and How to use it? | Decision Intelligence News | Scoop.it

Why does HR Need Decision Intelligence? 

 

HR is a dynamic and strategic function in today’s business landscape. The decisions in HR significantly influence the future of business organizations, implying the importance of thoughtful decision-making. With the right support from decision intelligence, HR decisions can increase operational efficiencies for organizations on multiple levels. 

Lorien Pratt's insight:

If there’s any place in the enterprise where AI needs “human in the loop” and decisions must include human factors it’s HR. Decision Intelligence integrates AI into a decision framework that includes the soft factorsthose aspects of a decision-making process that are hard to measure and/or relate to, psychological factors like morale, empathy, customer satisfaction, or happiness. Soft factors are often the most influential on an organization’s success yet are systematically ignored.

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Council Post: New To Business Development? 10 Hot Industries To Join Right Now

Council Post: New To Business Development? 10 Hot Industries To Join Right Now | Decision Intelligence News | Scoop.it

"New graduates in the business development field have a wealth of career paths available to them. Some industries, like tech, are always booming, and job seekers may naturally gravitate toward those areas. However, there are plenty of other industries that can provide incredible work opportunities and growth potential for recent grads.

 

"We asked members of Forbes Business Development Council about the hottest industries for new business development professionals to explore right now."

Lorien Pratt's insight:

Looking for a challenging and fulfilling career path? We at Quantellia are excited to see Forbes including Decision Intelligence in their assessment of what they refer to as "incredible work opportunities and growth potential for recent grads." We couldn't agree more. We believe we are leading the field in this discipline and look forward to it becoming truly mainstream and ubiquitous as its power to help us make good decisions is revealed.

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The next AI winter is coming, and that’s great – productOps –

The next AI winter is coming, and that’s great – productOps – | Decision Intelligence News | Scoop.it

 

". . . [B]uilding a true AI is likely to require investing years of work into machines that won’t solve a single business problem. Search engines and image recognizers make a lot of money but don’t think like people. Any true AI is likely to spend years stumbling around and making mistakes before it does anything useful, just like we do. Remember, training a human intelligence (the best kind we know about) takes about twenty years per installation, and that’s with millions of years of evolutionary advantage baked in. This means that for the machine learning problems that really count, money is likely to stay tight.

 

"So, you might wonder, if all this is true, why get excited about the upcoming AI winter? Simple. This is when all that expertise we’ve built up during the current boom will start filtering out into other fields. The dirty secret of the current AI boom is that not everyone is trying to build a self-driving car. In fact, for most businesses, the problems they need to solve are far more pragmatic. Often, companies need to make sense of the data they’re already sitting on and those datasets are usually too small and too messy for deep learning to be much use. Or they need to figure out how to take dodgy intermittent data from new sources like IoT sensors and make it reliable."

Lorien Pratt's insight:

Rather than being a boom and bust cycle, the development of AI is more of a bloom and spread cycle, with the skills and talent built up in the field during AI growth being spread out into other fields where it can become part of a new era of understanding, as well as that of a better understanding of how to solve our most vexing social and business problems.

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The future of data science and AI (and DI) brings women back into the tech workforce

"Women are going to lead this
next phase just like they led the early development of
software engineering"
Lorien Pratt's insight:

Thank you to #wids2019, @sap, and our #diversity allies for the opportunity to pay it forward to the next generation of brilliant woman data scientists.

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Responsible AI/DI Ecosystem website redesign, including videos from the 2018 Summit

Responsible AI/DI Ecosystem website redesign, including videos from the 2018 Summit | Decision Intelligence News | Scoop.it

"Artificial Intelligence (AI) and Decision Intelligence (DI) are powerful technologies with potential for both great good and great harm. Responsible AI/DI (RAIDI) Ecosystem members consist of stakeholders and thought leaders working together to maximize the positive impact of these technologies worldwide.

 

Our first RAIDI Summit was held in September 2018. The second will be in September 2019 in Washington DC.

 

Please join us in using these revolutionary technologies for the common good."

Lorien Pratt's insight:

Please join me in congratulating the Responsible AI / DI ecosystem team for their new web design, including videos from the 2018 Responsible AI/DI Summit.

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Steve Brant at the United Nations: Has Science Made Fighting Wars Obsolete? (Full Question)

Steve Brant at the United Nations: Has Science Made Fighting Wars Obsolete? (Full Question) | Decision Intelligence News | Scoop.it
I asked how we can start a cultural conversation re: Has Scientific Advancement Made Fighting Wars Obsolete? This is my full question at the UNA-USA'
Lorien Pratt's insight:
Cultural shift ideas, inspired by Buckminster Fuller, from DI ecosystem member Steve Brant
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The AI^2 initiative integrates AI with consciousness, biology, culture, and systems

The AI^2 initiative integrates AI with consciousness, biology, culture, and systems | Decision Intelligence News | Scoop.it

"Instead of fearing that AI will be used to create some sort of corporate totalitarian state, let’s instead use AI in a way that puts human values, people, the planet, plants and animals at the core, and all technology and economic and political systems are in service to that. This will change everything. Instead of the hype around the singularity where humans and robots merge we will use AI in service to meeting all people’s basic needs around the world and healing the earth."

Lorien Pratt's insight:

About the AI^2 initiative at www.worldsummit.global, which is creating a vision for 'humanity's phase shift'.  Integrating consciousness, biology, culture, and systems, this initiative seems to be on the right track.

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The road to accessible health information interoperability

The road to accessible health information interoperability | Decision Intelligence News | Scoop.it

"To date, no health system has been able to overcome the obstacles and challenges to cross-border, comprehensive health information interoperability. Despite enormous investments and advances in technology, the health industry is still unable to consistently identify patients; give them access to their information; analyse and measure trends, risks, outcomes and costs; or agree on common standards to safely send, receive and manage data across different records systems.

 

"When we have so much to gain by working together to reduce illness and improve health outcomes, why are healthcare providers, practitioners, academics and health research institutions still unable to access, aggregate and share health information?"

Lorien Pratt's insight:

By binding criteria and credentials to the smallest attribute levels from everything gathered about and from an individual, the EP3 Foundation enables Decision Intelligence on people and their health. This capability is based on numerous criteria, and serves to protect the privacy of patients. This is a major leap forward in providing health information interoperability.

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