The Promise and Challenges of Health Analytics

Irving Wladawsky-Berger

On February 24 I attended a workshop in MIT on the Future of Health Analytics. In a recent paper , Ausiello notes that health analytics has the potential to become the next frontier in medicine, driven by the confluence of three key revolutions: . Complex Systems Data Science and Big Data Education and Talent Healthcare Systems Innovation Management and Leadership Political Issues Services Innovation Smart Systems Society and Culture Technology and Strategy

Notes On "Global Guidelines: Ethics in Learning Analytics"

Stephen Downes: Half an Hour

In my post referencing the ICDE's Global Guidelines: Ethics in Learning Analytics yesterday I said: This document summarizes the considerations of an ICDE working group on learning analytics. The presumption throughout is that a global ethic in learning analytics is needed, can be known, and comprehends the issues in this document. Definition and purpose of the use of Learning Analytics Where is data drawn from? What data must be included in learning analytics?

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Reflecting on Learning Analytics and SoLAR

George Siemens

The Learning Analytics and Knowledge conference (LAK16) is happening this week in Edinburgh. I have great hope for the learning analytics field as one that will provide significant research for learning and help us move past naive quantitative and qualitative assessments of research and knowledge. Would you be interested in participating in a discussion on educational analytics (process, methods, technologies)? Not everyone was a fan of the idea of learning analytics.

Complexity and Design in Warfare

Irving Wladawsky-Berger

The workshop explored how design-oriented approaches can help us better understand and deal with the very complex problems we are increasingly encountering in all aspects of business, economies, government, public policy, military operations and society in general. Some of the areas explored by the Forum are emerging technologies, organizational development, economic competition, and the changing concept of security.

The Complex Transition to the Age of the Cloud

Irving Wladawsky-Berger

While the skeptics’ concerns, - security, reliability, privacy, costs and others, - are quite real, the hardest part of implementing cloud strategies has little to do with technology. We can use real time information and powerful analytics to help us understand and optimize the very way everything works in an attempt to make the world more efficient and smarter. Cloud computing is a highly complex initiative - at the technical, business and organizational levels.

Ethical Codes and Learning Analytics

Stephen Downes: Half an Hour

Abstract The growth and development of learning analytics has placed a range of new capacities into the hands of educational institutions. The ethics of learning analytics will therefore need to be developed on criteria specific to education. Security applications are common.

The Current State of Cloud Computing

Irving Wladawsky-Berger

Many company leaders have encountered major roadblocks along their path toward cloud or have gotten cold feet once they questioned its impact on costs, security, latency, and more. Security of in-house data centers is superior to the security on cloud.

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Blockchain and Public Health Solutions

Irving Wladawsky-Berger

To reach a higher level of privacy and security, we need to establish a trusted data ecosystem for each kind of identity, which requires the exchange and sharing of data across a variety of institutions.

Blockchain Can Reshape Financial Services… But it Will Take Significant Time and Investment

Irving Wladawsky-Berger

Others include biometrics, cloud computing, cognitive computing, machine learning and predictive analytics. Not surprisingly given their complexity, change comes much slower to global financial infrastructures. Transforming this highly complex global ecosystem is very difficult. Overcoming these challenges will add complexity and delay large-scale, multi-party DLT implementations.

The Emergence of Industry 4.0

Irving Wladawsky-Berger

In its scale, scope and complexity, what I consider to be the fourth industrial revolution is unlike anything humankind has experienced before…”. The digitization of product and service offerings by adding smart sensors, communication devices, and data analytics tools to create smart digital products and smart services. Data analytics and digital trust are the foundations. “Data fuels Industry 4.0 Robust, enterprise-wide analytics requires significant change.

More Reflections on SharePoint and Picking Technology | Full Circle Associates

Nancy White

It is my understanding from my daughter’s ITS officer that SP is the ITS’s dream, especially if security is a factor. The inherent linearity and security of SP may have specific value in the context you noted. Cross posted from Nancy’s Full Circle Blog) [.] # uberVU - social comments on 11 Feb 2010 at 10:26 am Social comments and analytics for this post… This post was mentioned on Twitter by NancyWhite: I may have mislinked – new post on SharePoint.

Anticipating the Future of the IT Industry

Irving Wladawsky-Berger

How can we best anticipate the future of a complex, fast changing industry like IT? Over time, sophisticated applications were developed to help manage more complex operations, including enterprise resource planning , customer relationship management and human resources. In addition to keeping up with the explosive scalability requirements, IT infrastructure face very serious challenges in the areas of security, privacy and robustness.

How Will AI Likely Impact How We Work, Live and Play?

Irving Wladawsky-Berger

Public safety and security. “One of the more successful uses of AI analytics is in detecting white collar crime, such as credit card fraud. Artificial Intelligence Complex Systems Economic Issues Innovation Management and Leadership Political Issues Smart Systems Society and Culture Technology and StrategyA few weeks ago I discussed whether AI is finally reaching a tipping point, mostly based on a recently published report, - Artificial Intelligence and Life in 2030.

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The New Era of Smart, Connected Products

Irving Wladawsky-Berger

We generally think of products as physical entities, - e.g., clothes, light bulbs, appliances, cars, - some quite simple and some much more complex, built using sophisticated mechanical and/or electrical components. The article introduces a whole new class of smart connected products - “complex systems that combine hardware, sensors, data storage, microprocessors, software, and connectivity in myriad ways.”.

The Emergence of Industry 4.0

Irving Wladawsky-Berger

In its scale, scope and complexity, what I consider to be the fourth industrial revolution is unlike anything humankind has experienced before…”. The digitization of product and service offerings by adding smart sensors, communication devices, and data analytics tools to create smart digital products and smart services. Data analytics and digital trust are the foundations. “Data fuels Industry 4.0 Robust, enterprise-wide analytics requires significant change.

The Evolution of the Internet of Very Smart Things

Irving Wladawsky-Berger

These factors eventually led to significantly increased management complexities and costs. Most IoT business models also hinge on the use of analytics to sell user data or targeted advertising. Supporting 100s of billions of IoT devices at radically lower costs requires a decentralized peer-to-peer architecture, capable of near unlimited scalability, privacy, security and the ability to handle trustless transactions. “In

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The Emerging Data Economy

Irving Wladawsky-Berger

Physicists, astronomers, biologists, and other scientists and engineers were developing methodologies and architectures for dealing with very large volumes of unstructured data, as well as analytical techniques, like data mining , for discovering patterns and extracting insights from all that data. To reach a higher level of privacy and security we need to establish a trusted data ecosystem, which requires the interoperability and sharing of data across the various institutions involved.

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Digital Twin: Bringing the Physical and Digital Worlds Closer Together

Irving Wladawsky-Berger

A Digital Twin is essentially a computerized companion to a real-world entity, be it an industrial physical asset like a jet engine, an individual’s health profile, or a highly complex system like a city. You need both deep physical domain knowledge as well as deep software and analytics expertise. Artificial Intelligence Complex Systems Data Science and Big Data Economic Issues Healthcare Systems Innovation Services Innovation Smart Systems Technology and Strategy

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The Evolution Toward Digital Supply Chains

Irving Wladawsky-Berger

The evolution from traditional to digital supply chains is driven by five key game changers: Real Time Big Data and Analytics. So are drones, which are already being deployed in infrastructure maintenance, security, assets monitoring and other tasks across a number of industries. Blockchain and Identity Complex Systems Data Science and Big Data Economic Issues Management and Leadership Services Innovation Technology and Strategy

Human-AI Decision Systems

Irving Wladawsky-Berger

In modern societies, decision systems provide a leader the ability to make informed and timely decisions, supported by a complex enterprise of distributed information and communication systems that provide situational awareness. But, despite the increasingly complex decisions that organizations are called upon to make, decision-making remains human-intensive and anecdotal. Sports analytics are now used by just about every professional sports team in the world.

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The Fourth Industrial Revolution

Irving Wladawsky-Berger

Product enhancements - Technology advances are giving rise to a large variety of smart connected products and services, combining sensors, software, data, analytics and connectivity in all kinds of ways. Realizing the potential of the Fourth Industrial Revolution, - e.g., Internet of Things , health analytics , smart cities , autonomous vehicles , - requires considerable support and actions from policy makers.

Human-AI Decision Systems

Irving Wladawsky-Berger

In modern societies, decision systems provide a leader the ability to make informed and timely decisions, supported by a complex enterprise of distributed information and communication systems that provide situational awareness. But, despite the increasingly complex decisions that organizations are called upon to make, decision-making remains human-intensive and anecdotal. Sports analytics are now used by just about every professional sports team in the world.

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The Science of Cities

Irving Wladawsky-Berger

Urban systems are the quintessential example of complex sociotechnical systems , the emerging field studying systems that combine powerful and ubiquitous digital technologies with the people and organizations they are transforming. Such systems exhibit a level of complexity that, until recently, has often been beyond our ability to understand and control. Complex systems have very large number of components. Moreover, cities are complex systems of systems.

The Evolution Toward Digital Supply Chains

Irving Wladawsky-Berger

The evolution from traditional to digital supply chains is driven by five key game changers: Real Time Big Data and Analytics. So are drones, which are already being deployed in infrastructure maintenance, security, assets monitoring and other tasks across a number of industries. Blockchain and Identity Complex Systems Data Science and Big Data Economic Issues Management and Leadership Services Innovation Technology and Strategy

Social Business in the Age of the Customer

Irving Wladawsky-Berger

Such a company-wide initiative should include: access to all information about employees, partners and customers; the ability to scale pilots across the broad workforce, ecosystem and customer base; adherence to government and industry regulations; careful management of security to avoid serious breaches; and a focus on reducing the costs and complexities that result from duplication of systems and information.

A Kind of Digital “Perfect Storm”

Irving Wladawsky-Berger

We seem to be heading toward a kind of digital perfect storm , where four major IT trends are each gathering speed while interacting with and amplifying each other: mobile devices, cloud computing, social networks and big data and analytics. Chief technology officers loved its emphasis on security. Cloud Computing Complex Systems Data Science and Big Data Economic Issues Innovation Smart Systems Society and Culture Technology and Strategy

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New Tools Beget Revolutions: Big Data and the 21st Century Information-based Society

Irving Wladawsky-Berger

It will be complex, develop hitherto unforeseen forms, and will have to respond to unforeseen challenges. The] big data of this revolution is far more powerful than the analytics that were used in the past,” wrote Brynjolfsson and Andy McAfee in a recent Harvard Business Review article: Big Data: The Management Revolution. “We We believe that our approach to apply analytics to the design of clinical trials has the potential to signi?cantly

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Mainframes and Clouds

Irving Wladawsky-Berger

IBM is now extending the benefits of its mainframe management architecture, including high efficiency, scalability, security and reliability, to other platforms in the data center, starting with Intel-based Linux systems and Power -based Unix systems. Because they were used to manage the critical resources of the enterprise, security was absolutely essential. Mainframes have been designed and optimized for such complex, data intensive workloads.

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The Management of Disruptive Innovations

Irving Wladawsky-Berger

The management of disruptive innovations is very different when looking at relatively simple or self-contained technologies, products or services versus highly complex platforms and infrastructures. A lot of the hype you often hear when new innovations come about is the result of people not properly understanding the different dynamics that apply to simple versus highly complex innovations. The dynamics of innovation with complex platforms and infrastructures is quite different.

Reflections on the Evolving Role of the CIO

Irving Wladawsky-Berger

Growing complexity. Along with the many benefits of the IT revolution comes a significant increase in complexity. While such an environment is full of business opportunities, it will also give rise to serious, unpredictable crises, - e.g., infrastructure failures, security breaches, global supply chain disruptions, - that have to be addressed, often in real time. How should we best discuss something as complex as the evolving role of the CIO?

Machine and Human Intelligence

Irving Wladawsky-Berger

Computer vision is used in a variety of applications, from security systems to digital cameras. For example, researchers are developing sophisticated question-answering systems, which can successfully analyze the nuances and context embedded in a complex, natural language question and come up with the right answer. Such smart/intelligence kind of systems hold great promise to help us deal with our increasingly complex world.

White House: Innovation in Higher Education

George Siemens

The White House is secure. As a “foreign national” it took me over two hours to clear three layers of security, was provided a special pink badge to identify me as a foreign national and was required to navigate only with an escort (including restroom visits and ultimately WH departure). This unknowability stems from HE being a complex systems with many interacting elements. I was stunned and disappointed at the lack of focus on data, analytics, and evidence.

Social Physics and Cybercrime Detection

Irving Wladawsky-Berger

These patterns can be used to detect emerging behavioral trends before they can be observed by other data analytics techniques. They’ve been most successful when applied to complex problems like machine translation and image and voice recognition where a huge body of data is available and the data is fairly static, that is, the training data, - e.g., pictures of cats or the English language, - change very infrequently.

Now hiring: The future of privacy in this country

David Weinberger

Department of Homeland Security Privacy Office. As the Director of Privacy Policy and Senior Advisor at the Department’s head quarters Privacy Office, you will have direct policy responsibility for complex and cutting edge privacy issues such as social media, cloud computing, information security and risk management. From an email being circulated: From: “Privacy&#.

Jobs, Skills and Education

Irving Wladawsky-Berger

One of its key conclusions was that “Educational attainment is a clear and consistent marker when it comes to feelings about job security and future prospects.” . It found that employment growth was highest in occupations requiring higher social or analytical skills, - those skills we most associate with a college education. Most Americans are happy and secure in their jobs. Economists don’t generally agree on much, given the complexities of their discipline.

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Jobs, Skills and Education

Irving Wladawsky-Berger

One of its key conclusions was that “Educational attainment is a clear and consistent marker when it comes to feelings about job security and future prospects.” . It found that employment growth was highest in occupations requiring higher social or analytical skills, - those skills we most associate with a college education. Most Americans are happy and secure in their jobs. Economists don’t generally agree on much, given the complexities of their discipline.

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Change in Education and What Needs to be Done

Stephen Downes: Half an Hour

What needs to be done: frankly acknowledge and detail the impact the major drivers of change in society, beginning especially with an acknowledgement of unsustainable systems and practices, including especially challenges to resources, security and stability.

Increasing “Jointness” and Reducing Duplication in DoD Intelligence

Martijn Linssen

Home About Complexity Reading List Knowledge Management Reading List Increasing “Jointness&# and Reducing Duplication in DoD Intelligence John 0 comments National Security , Social Media Oct 06 When the Secretary of Defense asks you to do something, you need to heed the call, whether you are in government or not. This move was a surprise to many: the stodgy and security conscious IC was moving ahead of many private sector companies with its use of Web 2.0

The Top Ten Emerging Technologies of 2017

Irving Wladawsky-Berger

Precision Farming Increases Crop Yields - “Combining sensors and imaging of every plant with real-time data analytics improves farm outputs and reduces waste”. In the security camera industry, [deep learning networks] are making it possible to understanding crowd behavior, which will make public places and airports safer.

Educational Research in Learning Technology

Stephen Downes: Half an Hour

But education (like most of the social sciences) is a complex discipline. Enough already of higher education contexts It has been widely recognized in other fields, especially those with complex environments, that context matters.

Cynefin papers: a summary

Dave Snowden

Its a must read on Cynefin although the basic domains are known-knowable-complex-chaotic rather than simple-complicated-complex chaotic so it combines ontology and epistemology. Complex Acts of Knowing shows the development of Cynefin from knowledge management and uses axis labels of Cynefin linked to types of community balanced against types of knowledge. Overall the article focuses on Homeland Security.

The Top Ten Emerging Technologies of 2017

Irving Wladawsky-Berger

Precision Farming Increases Crop Yields - “Combining sensors and imaging of every plant with real-time data analytics improves farm outputs and reduces waste”. In the security camera industry, [deep learning networks] are making it possible to understanding crowd behavior, which will make public places and airports safer.

Five Myths of Social Learning

Xyleme

While I could write an entire blog post on the reasons for this, I think Clark Quinn summarizes it quite nicely: “As work becomes more complex and the level of information explodes, speed-to-competence will depend on an organizations ability to allow learners to support themselves by tapping into the knowledge of others.” Home About Podcasts Videos Xyleme Inc.