INDUSTRY INSIGHTS YOUR PEERS ARE READING
The primary themes of the report were around spotting opportunities, innovation, transparency and trust, personalization, and 24/7 availability, and the implications for business. MORE
The concept of disruptive technologies, as defined by Clayton Christensen 20 years ago, has become widely accepted as a way of thinking about innovation-driven growth, but it’s been often misunderstood and misapplied. MORE
The answer, in a nutshell, is analytics. Luhnow then brought his analytics and management skills to Houston and proceeded to transform the team into a top contender in a short few years. For certain elements of the analytics, we had to wait and be patient. MORE
These patterns can be used to detect emerging behavioral trends before they can be observed by other data analytics techniques. Endor’s analytics engine identified 80 Twitter accounts as potential EOIs because they were similar enough to the positive samples that the agency provided. MORE
wrote the WEF in a very timely message. “Over the last 50 years, technology innovation has been fundamental to financial services industry transformation. Others include biometrics, cloud computing, cognitive computing, machine learning and predictive analytics. MORE
Aligning government with 21st century economic realities will require innovations at least as disruptive and profound as those embraced by the private sector. By harnessing major technological shifts and adopting best business practices, we can not only make our government far more productive, but also foster greater innovation in areas ranging from healthcare to education and energy – innovation that will generate economic growth and job creation.”. “We MORE
A successful program requires firms to address many elements of a digital and analytics transformation: identify the business case, set up the right data ecosystem, build or buy appropriate AI tools, and adapt workflow processes, capabilities, and culture.”. AI is now seemingly everywhere. MORE
The invitation was somewhat cryptic, but basically stated that the focus on the meeting was on quality and innovation. This invite was then followed a week later with a link to a post by Ted Mitchell, Undersecretary of Education, on Innovation and Quality in Higher Education , to help prepare for the conversation. This is the main space to watch in identifying which innovations will have legs and which ones will fail to get traction. MORE
This is evident in the California Management Review paper I co-authored on Managing Collaboration: Improving Team Effectiveness through a Network Perspective , in which we examined how to improve performance in sales, innovation, and execution. MORE
In a few weeks, our edX course Data, Analytics, and Learning (#DALMOOC https://www.edx.org/course/utarlingtonx/utarlingtonx-link5-10x-data-analytics-2186 ) will start. This is a short overview of the innovations that we want to explore during the course. The innovations build heavily on community and network approaches that I and others (Stephen Downes, David Wiley, Alan Levine, Jim Groom, Dave Cormier) have used in previous open courses. MORE
In these three days ( March 19-21 in Washington DC ), you will discover how to use radical management to thrive in the 21 st Century creative economy and the world of continuous innovation. Have you ever wondered how your firm is going to survive and thrive as the world economy goes through a fundamental phase change—from industrial bureaucracy to a creative economy of continuous innovation? Why innovation happens “despite” the system, not because of it. MORE
The Library Innovation Lab [ blog ] that Kim Dulin and I co-direct had a few of its proposals accepted: Library Analytics Toolkit : Tools to enable libraries to understand, analyze, and visualize the patterns of activities, including checkouts, returns, and recent acquisitions, and to do so across multiple libraries. LibraryCloud Server : Build and maintain a web server that makes available to all Harvard library innovators data and metadata gathered from the Harvard libraries. MORE
A few weeks ago, McKinsey published The age of analytics: Competing in a data-driven world , a comprehensive report on the state of big data, and in particular, on the challenges and opportunities a company faces as it strives to become a data-driven business. MORE
Machine and deep learning are the latest examples of tools like the World Wide Web, search and analytics that are helping us cope with and take advantage of the huge amounts of information all around us. AI is rapidly becoming one of the most important technologies of our era. MORE
On December 7 I participated in an Innovation Summit sponsored by the UK Innovation Research Centre (UK-IRC) at the University of Cambridge. The UK-IRC is “a collaborative initiative for cutting-edge research and knowledge exchange activities on how innovation can make businesses more competitive, improve public services delivery and help the UK meet the social, environmental and economic challenges it faces.” MORE
For example, over the past year I have given a number of seminars on Technology and Innovation in the Service Economy. I have also been thinking a lot about the impact of these innovations on the productivity of the service sector of the economy in general, and in particular, on the kinds of jobs that we can expect to be created over the next decades to replace those jobs that might decline or disappear as a result of such productivity improvements. MORE
Two-thirds of the opportunities to use AI are in improving the performance of existing analytical use cases,” is the paper’s overriding finding. For the vast majority of the use cases, 69%, the key value of machine learning is to improve performance beyond that provided by traditional analytic techniques. And, in the remaining 15% of cases, machine learning provided limited additional performance over existing analytical methods. . MORE
Many of these innovations are in their infancy, but they are already reaching an inflection point in their development as they build on and amplify each other in a fusion of technologies across the physical, digital and biological worlds.”. MORE
Note from Beth: Innovation was the buzzword at the Nonprofit Technology Conference! I ran into the good folks at Idealware who offered to do a guest post on the topic – looking at small ways to be innovative. Flickr Photo by Nielio. MORE
Freelancing General Interest IBM Innovation Knowledge Management Learning Life Metablogging Open Business Open Leadership . On January 20th, it will mark the 20th year anniversary since I started working in the IT industry. MORE
But, at the same time, mutations and innovations will vary among different groups, with natural selection favoring those human groups better able to adapt to changing conditions. MORE
Finally, in the LPSS, or Learning in Performance Support System, is analytics, competence and assessment , and this is essentially the application of artificial intelligence, and the pattern recognition to identify the ways in which a person can become competent at some skill or task, and the gap between where they are, and becoming competent. based analytics, is that a personal learning record, can extend beyond the limits of the platform. MORE
There are clearly other major technologies around us, - e.g., smartphones, IoT, analytics, AI, - but when you think about it, all of them rely on their connections to cloud-based data, applications, and services for much of their functionality. Application innovation. MORE
The survey identified four specific technology advances that are set to dominate business growth over the next five years: ubiquitous, high speed mobile Internet; widespread adoption of big data analytics; artificial intelligence; and cloud computing. MORE
A big long-term trend to watch: initially there was a lot of emphasis on analytics, where they say ‘we will analyze the data’. The big thing is data access; analytics is more secondary. MORE
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 dot-com era was famous for its many innovations, but also for its hype. MORE
After analyzing the survey data, - including the use of Watson Analytics to extract inferences from open-ended responses, - IBM published its findings in Redefining Boundaries: Insights from the Global C-suite Study. MORE
Machine learning is a statistical modelling technique, like data mining and business analytics , which finds and correlates patterns between inputs and outputs without necessarily capturing their cause-and-effect relationships. MORE
Irving Wladawsky-Berger A collection of observations, news and resources on the changing nature of innovation, technology, leadership, and other subjects. In this course, I want to examine how to leverage disruptive innovations to significantly transform a business or even a whole industry. MORE
The myriad possibilities that arise from the ability to monitor and control things in the physical world electronically have inspired a surge of innovation and enthusiasm,” said a 2015 McKinsey report on the Internet of Things. MORE
The data requirements for deep learning are substantially different from those of other analytic methods in a number of dimensions. The performance of traditional analytics tends to plateau as the data set size increases. MORE
The ergonomics of innovation -- The McKinsey Quarterly. interview Pixar Brad Bird - Innovation lessons from Pixar Director Brad Bird - Strategy - Innovation - The McKinsey Quarterly. Customer-Focused Innovation. David A Owens: Creative People Must Be Stopped: 6 Ways We Kill Innovation (Without Even Trying). McCraw: Prophet of Innovation: Joseph Schumpeter and Creative Destruction. Davenport: Competing on Analytics: The New Science of Winning. MORE
Two-thirds of the opportunities to use AI are in improving the performance of existing analytical use cases,” is the paper’s overriding finding. And, in the remaining 15% of cases, machine learning provided limited additional performance over existing analytical methods. . MORE
More specifically, the survey asked them about their progress in embracing five major digital trends: big data and advanced analytics, digital engagement of customers, digital engagement of employees and external partners, automation, and digital innovation. MORE
For the past few years, some have justifiably questioned whether innovation has been going through a period of stagnation , especially when compared to major 19th and 20th century innovations like electricity, cars and airplanes. MORE
Learning Analytics comes from a report about the impact of emerging technologies for practitioners in a field. Two or three years to adoption: Learning Analytics (K-12/Higher Ed), Open Content (K-12), Games and Gamification (Higher Ed). Learning and Knowledge Analytics. MORE
Nor have they integrated the large amounts of data, analytical tools and powerful AI systems now at our disposal into their decision making systems. . Sports analytics are now used by just about every professional sports team in the world. MORE
Irving Wladawsky-Berger A collection of observations, news and resources on the changing nature of innovation, technology, leadership, and other subjects. After all, we are talking about innovation. Design adds the more subjective - and equally important - dimensions of innovation. MORE
The article noted that regulators, policy makers and academics in Europe and the US are increasingly concerned that the vast data assets of digital giants could become a competitive barrier to startups and innovation. Business analytics predates the big data era. MORE
In a recent article in the MIT Sloan Management Review , MIT Research Fellow Michael Schrage proposed a provocative and counterintuitive approach for enhancing innovation and productivity through man-machine collaborations. Instead of just asking how can people create more valuable innovation?, MORE
In a 2014 article , The Economis t pointed out that realizing the benefits from technology and innovation takes time, often decades, and varies hugely from industry to industry. The steam engine and electricity, are each examples of such transformative industrial-age innovations. MORE
The answer, in a nutshell, is analytics. As VP of scouting and player development in St Louis, Luhnow built a strong analytics department and enjoyed great success as one of the top talent producers in baseball, helping the Cardinals win the 2011 World Series as well as reach the playoffs from 2012 to 2015. Luhnow then brought his analytics and management skills to Houston and proceeded to transform the team into a top contender in a short few years. MORE
This is an example of a nonprofit organization that has invested in building an internal learning and innovation network that will lead to improved results for Greenpeace’s environmental mission. Storytelling and Knowledge Transfer :: sharing innovations, lessons learned, fail stories, and emerging best practices. Innovation Incubation :: piloting new ways of working, from practices to technologies. MORE
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: . MORE
Ross Dawson
APRIL 23, 2015
The primary themes of the report were around spotting opportunities, innovation, transparency and trust, personalization, and 24/7 availability, and the implications for business.
Irving Wladawsky-Berger
SEPTEMBER 10, 2018
But, at the same time, mutations and innovations will vary among different groups, with natural selection favoring those human groups better able to adapt to changing conditions.
Irving Wladawsky-Berger
MARCH 17, 2015
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: .
Irving Wladawsky-Berger
JULY 16, 2018
The answer, in a nutshell, is analytics. Luhnow then brought his analytics and management skills to Houston and proceeded to transform the team into a top contender in a short few years. For certain elements of the analytics, we had to wait and be patient.
Irving Wladawsky-Berger
JANUARY 31, 2017
The article noted that regulators, policy makers and academics in Europe and the US are increasingly concerned that the vast data assets of digital giants could become a competitive barrier to startups and innovation. Business analytics predates the big data era.
Irving Wladawsky-Berger
JULY 16, 2018
The answer, in a nutshell, is analytics. As VP of scouting and player development in St Louis, Luhnow built a strong analytics department and enjoyed great success as one of the top talent producers in baseball, helping the Cardinals win the 2011 World Series as well as reach the playoffs from 2012 to 2015. Luhnow then brought his analytics and management skills to Houston and proceeded to transform the team into a top contender in a short few years.
George Siemens
OCTOBER 7, 2014
In a few weeks, our edX course Data, Analytics, and Learning (#DALMOOC https://www.edx.org/course/utarlingtonx/utarlingtonx-link5-10x-data-analytics-2186 ) will start. This is a short overview of the innovations that we want to explore during the course. The innovations build heavily on community and network approaches that I and others (Stephen Downes, David Wiley, Alan Levine, Jim Groom, Dave Cormier) have used in previous open courses.
Irving Wladawsky-Berger
JANUARY 17, 2017
The concept of disruptive technologies, as defined by Clayton Christensen 20 years ago, has become widely accepted as a way of thinking about innovation-driven growth, but it’s been often misunderstood and misapplied.
Beth Kanter
SEPTEMBER 12, 2013
Learning Analytics comes from a report about the impact of emerging technologies for practitioners in a field. Two or three years to adoption: Learning Analytics (K-12/Higher Ed), Open Content (K-12), Games and Gamification (Higher Ed). Learning and Knowledge Analytics.
Stephen Downes: Half an Hour
OCTOBER 18, 2017
A big long-term trend to watch: initially there was a lot of emphasis on analytics, where they say ‘we will analyze the data’. The big thing is data access; analytics is more secondary.
Irving Wladawsky-Berger
MAY 9, 2011
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 dot-com era was famous for its many innovations, but also for its hype.
Steve Denning
FEBRUARY 26, 2012
In these three days ( March 19-21 in Washington DC ), you will discover how to use radical management to thrive in the 21 st Century creative economy and the world of continuous innovation. Have you ever wondered how your firm is going to survive and thrive as the world economy goes through a fundamental phase change—from industrial bureaucracy to a creative economy of continuous innovation? Why innovation happens “despite” the system, not because of it.
David Weinberger
FEBRUARY 11, 2011
The Library Innovation Lab [ blog ] that Kim Dulin and I co-direct had a few of its proposals accepted: Library Analytics Toolkit : Tools to enable libraries to understand, analyze, and visualize the patterns of activities, including checkouts, returns, and recent acquisitions, and to do so across multiple libraries. LibraryCloud Server : Build and maintain a web server that makes available to all Harvard library innovators data and metadata gathered from the Harvard libraries.
Ross Dawson
AUGUST 8, 2011
This is evident in the California Management Review paper I co-authored on Managing Collaboration: Improving Team Effectiveness through a Network Perspective , in which we examined how to improve performance in sales, innovation, and execution.
Irving Wladawsky-Berger
DECEMBER 16, 2010
On December 7 I participated in an Innovation Summit sponsored by the UK Innovation Research Centre (UK-IRC) at the University of Cambridge. The UK-IRC is “a collaborative initiative for cutting-edge research and knowledge exchange activities on how innovation can make businesses more competitive, improve public services delivery and help the UK meet the social, environmental and economic challenges it faces.”
Irving Wladawsky-Berger
AUGUST 5, 2010
For example, over the past year I have given a number of seminars on Technology and Innovation in the Service Economy. I have also been thinking a lot about the impact of these innovations on the productivity of the service sector of the economy in general, and in particular, on the kinds of jobs that we can expect to be created over the next decades to replace those jobs that might decline or disappear as a result of such productivity improvements.
Irving Wladawsky-Berger
JULY 30, 2007
Irving Wladawsky-Berger A collection of observations, news and resources on the changing nature of innovation, technology, leadership, and other subjects. After all, we are talking about innovation. Design adds the more subjective - and equally important - dimensions of innovation.
Beth Kanter
APRIL 23, 2012
Note from Beth: Innovation was the buzzword at the Nonprofit Technology Conference! I ran into the good folks at Idealware who offered to do a guest post on the topic – looking at small ways to be innovative. Flickr Photo by Nielio.
Irving Wladawsky-Berger
JANUARY 7, 2019
Machine learning is a statistical modelling technique, like data mining and business analytics , which finds and correlates patterns between inputs and outputs without necessarily capturing their cause-and-effect relationships.
Irving Wladawsky-Berger
JULY 3, 2018
Two-thirds of the opportunities to use AI are in improving the performance of existing analytical use cases,” is the paper’s overriding finding. And, in the remaining 15% of cases, machine learning provided limited additional performance over existing analytical methods. .
Irving Wladawsky-Berger
OCTOBER 3, 2012
Aligning government with 21st century economic realities will require innovations at least as disruptive and profound as those embraced by the private sector. By harnessing major technological shifts and adopting best business practices, we can not only make our government far more productive, but also foster greater innovation in areas ranging from healthcare to education and energy – innovation that will generate economic growth and job creation.”. “We
Beth Kanter
APRIL 10, 2014
This is an example of a nonprofit organization that has invested in building an internal learning and innovation network that will lead to improved results for Greenpeace’s environmental mission. Storytelling and Knowledge Transfer :: sharing innovations, lessons learned, fail stories, and emerging best practices. Innovation Incubation :: piloting new ways of working, from practices to technologies.
Irving Wladawsky-Berger
OCTOBER 1, 2018
These patterns can be used to detect emerging behavioral trends before they can be observed by other data analytics techniques. Endor’s analytics engine identified 80 Twitter accounts as potential EOIs because they were similar enough to the positive samples that the agency provided.
Stephen Downes: Half an Hour
DECEMBER 12, 2013
Finally, in the LPSS, or Learning in Performance Support System, is analytics, competence and assessment , and this is essentially the application of artificial intelligence, and the pattern recognition to identify the ways in which a person can become competent at some skill or task, and the gap between where they are, and becoming competent. based analytics, is that a personal learning record, can extend beyond the limits of the platform.
Irving Wladawsky-Berger
DECEMBER 3, 2018
The survey identified four specific technology advances that are set to dominate business growth over the next five years: ubiquitous, high speed mobile Internet; widespread adoption of big data analytics; artificial intelligence; and cloud computing.
Irving Wladawsky-Berger
SEPTEMBER 10, 2007
Irving Wladawsky-Berger A collection of observations, news and resources on the changing nature of innovation, technology, leadership, and other subjects. In this course, I want to examine how to leverage disruptive innovations to significantly transform a business or even a whole industry.
Irving Wladawsky-Berger
JULY 3, 2018
Two-thirds of the opportunities to use AI are in improving the performance of existing analytical use cases,” is the paper’s overriding finding. For the vast majority of the use cases, 69%, the key value of machine learning is to improve performance beyond that provided by traditional analytic techniques. And, in the remaining 15% of cases, machine learning provided limited additional performance over existing analytical methods. .
Irving Wladawsky-Berger
SEPTEMBER 19, 2016
wrote the WEF in a very timely message. “Over the last 50 years, technology innovation has been fundamental to financial services industry transformation. Others include biometrics, cloud computing, cognitive computing, machine learning and predictive analytics.
Irving Wladawsky-Berger
DECEMBER 11, 2017
Many of these innovations are in their infancy, but they are already reaching an inflection point in their development as they build on and amplify each other in a fusion of technologies across the physical, digital and biological worlds.”.
Bob Sutton
JULY 25, 2011
The ergonomics of innovation -- The McKinsey Quarterly. interview Pixar Brad Bird - Innovation lessons from Pixar Director Brad Bird - Strategy - Innovation - The McKinsey Quarterly. Customer-Focused Innovation. David A Owens: Creative People Must Be Stopped: 6 Ways We Kill Innovation (Without Even Trying). McCraw: Prophet of Innovation: Joseph Schumpeter and Creative Destruction. Davenport: Competing on Analytics: The New Science of Winning.
Irving Wladawsky-Berger
SEPTEMBER 11, 2017
A successful program requires firms to address many elements of a digital and analytics transformation: identify the business case, set up the right data ecosystem, build or buy appropriate AI tools, and adapt workflow processes, capabilities, and culture.”. AI is now seemingly everywhere.
Irving Wladawsky-Berger
JUNE 12, 2017
In a recent article in the MIT Sloan Management Review , MIT Research Fellow Michael Schrage proposed a provocative and counterintuitive approach for enhancing innovation and productivity through man-machine collaborations. Instead of just asking how can people create more valuable innovation?,
Irving Wladawsky-Berger
DECEMBER 19, 2016
A few weeks ago, McKinsey published The age of analytics: Competing in a data-driven world , a comprehensive report on the state of big data, and in particular, on the challenges and opportunities a company faces as it strives to become a data-driven business.
Irving Wladawsky-Berger
DECEMBER 12, 2016
There are clearly other major technologies around us, - e.g., smartphones, IoT, analytics, AI, - but when you think about it, all of them rely on their connections to cloud-based data, applications, and services for much of their functionality. Application innovation.
Irving Wladawsky-Berger
APRIL 16, 2018
More specifically, the survey asked them about their progress in embracing five major digital trends: big data and advanced analytics, digital engagement of customers, digital engagement of employees and external partners, automation, and digital innovation.
Luis Suarez
JANUARY 18, 2017
Freelancing General Interest IBM Innovation Knowledge Management Learning Life Metablogging Open Business Open Leadership . On January 20th, it will mark the 20th year anniversary since I started working in the IT industry.
Irving Wladawsky-Berger
AUGUST 20, 2018
Machine and deep learning are the latest examples of tools like the World Wide Web, search and analytics that are helping us cope with and take advantage of the huge amounts of information all around us. AI is rapidly becoming one of the most important technologies of our era.
Irving Wladawsky-Berger
NOVEMBER 28, 2016
The myriad possibilities that arise from the ability to monitor and control things in the physical world electronically have inspired a surge of innovation and enthusiasm,” said a 2015 McKinsey report on the Internet of Things.
Irving Wladawsky-Berger
OCTOBER 4, 2016
After analyzing the survey data, - including the use of Watson Analytics to extract inferences from open-ended responses, - IBM published its findings in Redefining Boundaries: Insights from the Global C-suite Study.
Irving Wladawsky-Berger
SEPTEMBER 17, 2018
In a 2014 article , The Economis t pointed out that realizing the benefits from technology and innovation takes time, often decades, and varies hugely from industry to industry. The steam engine and electricity, are each examples of such transformative industrial-age innovations.
Irving Wladawsky-Berger
NOVEMBER 27, 2017
Nor have they integrated the large amounts of data, analytical tools and powerful AI systems now at our disposal into their decision making systems. . Sports analytics are now used by just about every professional sports team in the world.
Irving Wladawsky-Berger
SEPTEMBER 3, 2018
The data requirements for deep learning are substantially different from those of other analytic methods in a number of dimensions. The performance of traditional analytics tends to plateau as the data set size increases.
Irving Wladawsky-Berger
NOVEMBER 26, 2014
For the past few years, some have justifiably questioned whether innovation has been going through a period of stagnation , especially when compared to major 19th and 20th century innovations like electricity, cars and airplanes.
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