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The Competitive Value of Data: From Analytics to Machine Learning

Irving Wladawsky-Berger

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.

Innovation in an Age of Austerity

Irving Wladawsky-Berger

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.”

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Meetings and Bosshole Behavior: A Classic Case - Bob Sutton

Bob Sutton

The ergonomics of innovation -- The McKinsey Quarterly. interview Pixar Brad Bird - Innovation lessons from Pixar Director Brad Bird - Strategy - Innovation - The McKinsey Quarterly. IBM Reshapes Its Sales Meetings - BusinessWeek. BusinessWeek: How to Make Meetings Matter. Customer-Focused Innovation. David A Owens: Creative People Must Be Stopped: 6 Ways We Kill Innovation (Without Even Trying). Told boss and left meeting. Bob Sutton.

Why Innovation is Critical to Help Governments Adjust to the Realities of the 21st Century?

Irving Wladawsky-Berger

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

The Emergence of Industry 4.0

Irving Wladawsky-Berger

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.”. Focus on people and culture to drive transformation.

Become a More Productive, Empathetic, Creative Person With the Help of AI-Based Tools

Irving Wladawsky-Berger

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?,

The Evolution of the Internet of Very Smart Things

Irving Wladawsky-Berger

These systems were optimized for simplicity and flexibility, and their graphical user interfaces led to many innovative applications, including the new web-based applications in the 1990s. Even as revenues fail to meet expectations, costs are prohibitively high.

Data 278

Human-AI Decision Systems

Irving Wladawsky-Berger

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.

System 155

The Rise of the T-Shaped Organization

Irving Wladawsky-Berger

A growing number of articles have been extolling the value of T-shaped professionals , that is, individuals who combine deep cognitive, analytical, and/or technical skills in a specific discipline, with broad multidisciplinary, social skills.

The Fourth Industrial Revolution

Irving Wladawsky-Berger

The accelerating velocity, expanded scope and systemic impact of the Fourth Industrial Revolution will lead to constant surprises and serious disruptions, including: Customer expectations - No transformation is more challenging than meeting the service expectations of digitally empowered customers.

The Emergence of Industry 4.0

Irving Wladawsky-Berger

The WEF has taken the broad-scope view , having chosen The Fourth Industrial Revolution as the central theme of its January, 2016 annual meeting in Davos, Switzerland. “We are at the beginning of a revolution that is fundamentally changing the way we live, work, and relate to one another,” wrote Dr. Schwab in his 2017 book. Focus on people and culture to drive transformation. Data analytics and digital trust are the foundations. “Data fuels Industry 4.0

The Continuing, Transformative Impact of IT

Irving Wladawsky-Berger

Disruptive innovations take time to play out. The social matrix, the Internet of all things, big data and advanced analytics, and realizing anything as a services are the report’s top four trends. Its potential for driving business innovation remains untapped.

Data 264

Irving Wladawsky-Berger: Reflections on Leadership and Innovation

Irving Wladawsky-Berger

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.

The Datafication of Business and Society

Irving Wladawsky-Berger

Complex Systems Data Science and Big Data Digital Money and Payments Economic Issues Innovation Management and Leadership Society and Culture Technology and Strategy

Data 256

Reflections on Storytelling

Irving Wladawsky-Berger

Oral narratives were used by many ancient cultures as a way of passing along their traditions, beliefs and learning from generation to generation. While contemporary storytelling is mostly associated with entertainment, education and culture, it also plays a major role in business.

System 278

The Digitization of the Economy

Irving Wladawsky-Berger

It has often been said that powerful disruptive innovations like the Internet are overhyped in the short term but under-hyped in the long term. They wrote about the profound transformations brought about by ever more advanced technologies and innovations.

System 272

Human-AI Decision Systems

Irving Wladawsky-Berger

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. These cross-team ties help to break down silos and increase an organization's productivity and ability to innovate.”.

System 100

Hope for HP's Culture - Bob Sutton

Bob Sutton

The ergonomics of innovation -- The McKinsey Quarterly. interview Pixar Brad Bird - Innovation lessons from Pixar Director Brad Bird - Strategy - Innovation - The McKinsey Quarterly. IBM Reshapes Its Sales Meetings - BusinessWeek. BusinessWeek: How to Make Meetings Matter. Customer-Focused Innovation. David A Owens: Creative People Must Be Stopped: 6 Ways We Kill Innovation (Without Even Trying). Innovation in a Recession: Forum | KQED|NPR.

The New Era of Smart, Connected Products

Irving Wladawsky-Berger

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.

The Science of Information-based Predictions

Irving Wladawsky-Berger

Many pollsters seem to still be using methodologies that worked well a decade or two ago, but look woefully behind the times in the emerging world of big data and advanced analytics. For months, just like a good portion of the country, I followed closely our 2012 presidential campaign.

Embracing Disruptive Change - Why Is it So Difficult?

Irving Wladawsky-Berger

Not for nothing do we refer to the changes accompanying disruptive innovations as creative destruction , the powerful force that rejuvenates the economy in Joseph Schumpeter’s 70 year old theory. This is the innovator’s dilemma - and no company or industry is immune.” .

Change 273

Organizing Big Data Initiatives: Lessons from the Internet

Irving Wladawsky-Berger

my fellow guest columnist Tom Davenport reflected on whether institutions should appoint a dedicated executive to oversee their company-wide big data and analytics initiatives, and if so, which C-level senior executives should such a position report to.

Data 213

The Evolution Toward Digital Supply Chains

Irving Wladawsky-Berger

The meeting was organized by the Center for Global Enterprise (CGE), - the nonprofit research institution founded by former IBM Chairman and CEO Sam Palmisano to study the contemporary corporation, globalization, economic trends, and their impact on society.

The 20th Anniversary of Linux

Irving Wladawsky-Berger

We viewed Linux as a platform for innovation just like we viewed the Internet. I devoted the rest of my presentation to answering that question by discussing four major current IBM initiatives where Linux has played a major role as an enabling technology: Cloud Computing , Smarter Planet and Smarter Cities , Information Analytics , and Supercomputing. A number of other speakers also focused on open innovation and collaboration in their keynotes.

Why Do We Need Data Science when We’ve Had Statistics for Centuries?

Irving Wladawsky-Berger

I still remember a meeting in 1965 with a very eminent physicist from whom I was taking a graduate course. Finally, beyond access to the appropriate skills, are there cultural and management implications in embracing data science in the business world?

Complexity and Design in Warfare

Irving Wladawsky-Berger

The Forum holds several meetings a year, each centered on a specific topic, mostly related to information technologies and their impact on society. Over the past few meetings the Forum has focused on various topics related to complex systems, - how to best understand and manage them in the present, as well as predict and shape their future directions. In this recent meeting we discussed how to apply the concept of design to address such complex systems and problems.

Leveraging Commercial Best Practices to Maximize Government Productivity

Irving Wladawsky-Berger

A number of the CEOs involved in this study also met with senior White House and Federal Reserve economic officials to discuss their recommendations , which emphasize both the need to reduce the nation’s growing deficit as well as laying a foundation for future innovation and growth. Again and again, new capabilities have simultaneously reduced costs and sparked innovation.”. To meet these expectations, the public sector must transform itself.”

Growing Up in a Complex World

Irving Wladawsky-Berger

They were confident that information and analysis would help them better deal with the increasingly complex environments in which we live. “When we looked just at those students who had the greatest expectation of accelerating complexity, we found they put much more emphasis on the analytic and predictive capabilities of information. To meet this commitment, they said they needed to understand and respond to diverse cultures and local needs, whether economic, environmental or social.”

Irving Wladawsky-Berger: Reflections on Complex Systems

Irving Wladawsky-Berger

Irving Wladawsky-Berger A collection of observations, news and resources on the changing nature of innovation, technology, leadership, and other subjects. Can architectures be analytically and empirically evaluated before and after development, deployment and systems operation?

The Complex Transition to the Age of the Cloud

Irving Wladawsky-Berger

After a full day of talks and discussions, the sense of the meeting was that cloud computing has the promise to bring a real paradigm shift to the IT world, although, as the conference organizer succinctly put it in his closing remarks: “There is a clear consensus that there is no real consensus on what cloud computing is.” It has mostly to do with governance, policies, and regulations, as well as with cultural and organizational issues.

The Evolution Toward Digital Supply Chains

Irving Wladawsky-Berger

The meeting was organized by the Center for Global Enterprise (CGE), - the nonprofit research institution founded by former IBM Chairman and CEO Sam Palmisano to study the contemporary corporation, globalization, economic trends, and their impact on society. The CEOs at the meeting in China concluded that their highest research priority was the evolution toward Digital Supply Chains (DSC), and its potential to transform organizations and the conduct of business around the world.

Indira Gandhi on Doing Work Versus Taking Credit For It - Bob Sutton

Bob Sutton

The ergonomics of innovation -- The McKinsey Quarterly. interview Pixar Brad Bird - Innovation lessons from Pixar Director Brad Bird - Strategy - Innovation - The McKinsey Quarterly. IBM Reshapes Its Sales Meetings - BusinessWeek. BusinessWeek: How to Make Meetings Matter. Customer-Focused Innovation. David A Owens: Creative People Must Be Stopped: 6 Ways We Kill Innovation (Without Even Trying). Innovation in a Recession: Forum | KQED|NPR.

Leadership and Rational Thinking

Irving Wladawsky-Berger

In this blog written for the THINK Forum, Ito observes that the explosion of ideas and low cost of collaboration all around us, is prompting a great deal of innovation, “but also a complexity, speed and capacity for amplification that makes the world a difficult and dangerous place for many organizations and human-made systems designed for a slower and simpler era.” “The Don't get me wrong: Competition is essential as a spur to innovation. even people they will never meet in person.”

Social Business Forum Highlights – Highlights from Breakout Sessions and Final Keynote

Luis Suarez

After the break from the first initial round of keynotes, the breakout sessions got kicked off into three different tracks: Employee Empowerment, Customer Engagement and Open Innovation. Once again, I am on the road on to another business trip.

#e2conf 2011 Highlights – 10 Reasons Why I Enjoyed the Event

Luis Suarez

From a technology and social tools perspective to a pure social one, one where culture and other business related issues were almost omnipresent. Not only from the perspective of meeting up some good old friends with whom we all keep sharing our favourite war stories on Enterprise 2.0,

I Learned A Lot At My First-Ever F Up Nights

Dan Pontefract

I recently attended the first-ever F Up Nights in Victoria, British Columbia, hosted by the fine folks at the Victoria Innovation, Advanced Technology & Entrepreneurship Council, or by its much cooler acronym, VIATEC. Don’t shoot the messenger! I didn’t make up the group name.

Teaching in the Digital Age: Guidelines for Designing Teaching and Learning

Stephen Downes: Half an Hour

Or (suggested from audience) MOOCs, hospital, sports… Think of a learning environment from a teacher’s perspective: we have learner characteristics, assessment, resources, learner support, skills, content… And permeating all of these is culture.

Notes from ELI 2015 Riyadh - Day One

Stephen Downes: Half an Hour

'Rob Kadel The Untapped Potential for eLearning Pearson Research & Innovation Network / University of Colorado Denver - learning to think laterally, or to think divergently (think outside the box) - instead of thinking of one answer, thinking of many possible answers - example: alternative ways to commute to work - Research & Innovation Network (Pearson) - Kimberly O''Malley, head - turning ideas into useful and usable innovation networks - various centres for different projects - accomoplishments: collaborative games, essay scoring algoritms, etc - Student success - what does it mean? - beyond school - Oxford Economics survey 2011 - skills most in demand: - interpersonal and communication skills - digital - agile thinking - global operating skills - CEOs valued these, but said most employees today do not have these skills - we can reach this, but have to look at the world students live in today - The current environment - tech in schools - two speeds: full steaam ahead, or, what do we do now? - we need to meet students in their own space, in the technology they already use - Personalized Learning - Howard Gardner: individuation, pluralization - individuation: each student taught in ways that are comfortable - pluralization: anytung being taught should be taught in several ways (to reach more students) - in a practical snese - not just 1:1 computing - students and teachers customize learning objectives and strategies for work - rigorous curriculum framework - relevant assessment, teachers as facilitators - SAMR model of technology integration - It takes a village: components of education transformation - leadership: establish vision, lead by example, - policy: align with outcoms - curriculum and assessment - in alignment with each other, must ensure students gain essential knowledge and 21st c skills - digital tech - tools and data to support personalization - sustinable resourcing - develop resources at scale - research and evaluation - Purposful planning - getting to goals - eg. ''all studnets must achieve success in mathematics before graduation'' - need to clearly define what these thinsg are - Goals > Objectives > Activities > Tasks (hierarchal structure) - if you can measure the tasks, you can measure all the way up - the task level is the easiest to measure - eg. Pearson''s MathXL - importance of verbs (action words) - use Bloom''s digital taxonomy (HOTS to LOTS) - the full-steam ahead approach is not purposeful - need to map out all learning tasks beforehand (example, school with Chromebooks couldn''t read MS Word documents) - ensure that adequate staff are assigned to each task - ensure that budgets are accurate - that you can measure the success of your program - Learning outcomes and efficacy - it isn''t enough to merely be good, you have to do good (ie., you have to show you are good) - Pearson - has taken a strong effort to measure our products and our services (video clip from Pearson CEO) (but no, this isn''t an advertisement for Pearson, he assures us) - "return on investment in human capital" - measuring the tasks = measuring efficacy - Challenges in the Gulf region - infrastructure - are all schools and all users connected? - leadership - are leaders supporting and demonstrating effective technology use? - language - more than half of websites that exist are in English - how to maintain rich heritage of Arabic language - but how to teach them all English - digital literacy - students need basic understanding of how to use devices - not just mobile phones, can you work with computers, eg., save and send a file - professional development for teachers Q&A - Q: will tech in the education field cut out labour, the way it has in other fields - A: I don''t think it will replace teachers - there is the danger or potential that it will replace teachers, but that''s not the way we want to go - want to keep teachers as facilitators - Q: you talk about an outcome-based theory, based on tasks, which is a classical theory around for years - but do you do tasks first, or goals first? - A: just a way of redefining the way we have thought of education in the past - it is very difficult to measure goals, but it is possible to measure the outcomes - Q: what about social media - A: replicate them in the ''walled garden'' -- or experiment with tools (but they don''t always work) - Q: knowledge is non-reductive? - A: it depemds on the language we use - ''what does it really mean''? Olaf Zawacki-Richter The development of online distance education and media usage behavior in higher education - traditional students - 1950s - male, - C.A.Wedemeyer 1981 - increasing diversity in university, beginning of open university, open admissions - University of London 1826 "beginning" of open university, distance learning - 1889 - sample of advertisement describing correspondance study - so correspondance education is closely linked to the development of the postal system in Europe - South Arica - UNISA - The open learning movement - begins in the 1960s - list: OU (1969), Athabasca (1970), FernUniversitat (1974) - some very large ones - China, Turkey - new open universities - Nigeria, Malaysia - UMUC - development of online distance education - more open universities - Russia - traditional campuses - eg. Penn State - ''world campus'' Institutional Structures - Oldenberg University, Germany - need organizational structure to "manage this process in a profeessional way" - Centre for Lifelong Learning (C3L) - Structure of the blended learning program: - independent study phase - 1st cintact session - online projevt work - 2nd contact session - project portfolios Instructional design model: ADDIE - emohasis on first phase, evry important - need to know prior knowledge, media preferences Media usage behavious in Education - does the net generation now arrive at the university? - very few empirical studies supporting the claims of Tapscott, Presnky, etc - so what are these studients doing? Research questions: wat do they use, what is their value, informal media, etc? - exploratory study - data in 2012 - big 276 question survey, 2,339 students fro German universities - 99% have access to broadband, 38% use internet 4-6 hours per day - media typology (Grosch and Gidion) - acceptance rates llfdifferent tools and rechnologies - second Life - dead last on the list - cluster analysis - 5 groups: - ubiquitous web services, email, LMS - provuided by uni - eg. online library - cooperation & entertainment - comouter conference, social netwirks, iTines - external web 2.0 toos, blogs, skype - exotic applications - 2nd life, Twitter - not used much for learning - high acceptance by traditional studnets just a few, eg. email, non-traditional students use a wide range of tools - gap between demand and supply of e-learning, significantly higher demand for e-learning among non-trad - media usage typology - entertainment - 51% - periphrial - 20% - advanced - 20% - instrumental - 7% - Implications: - developed authoring tool for courses for tablets - iAcademy - C3LLO - mobile LMS - mostly for communications - no relationship between age and media usage - very high acceptance for LMS and print-based materials - the university should not imitate informal social networks Richard L. Edwards Executive Director, iLearn Research, Ball State University Increasing Student Success through Online Learning, Learning Analytics, and Learner-Centered Practices - student success - students maximizing their abilities - online education joins: online learning, learning analytcs, and learning processes - from minister of education: "less teaching, more learning" - more learning = more effective teachning Student Success - formal vs informal learning - learning anytime, anywhere - learning how to learn - lifelong learning Areas of broad agreement at #ELI_2015 - we have the technology to make online learning effective - the demand for online education is growing rapidly - 21st century learners were born into a digitally connected workd - there will continue to be waves of innivation in e-learning Claim: students are leading us into the "postmodality" er - online learning is no longer a novelty - meeting the needs of these students will require institutional ecosystems Thomas Cavanaugh, 2012, Educause Premise #1 - success in online learning requires an ecosystem - can''t focus on student success in isolation from, eg: - faculty development, eLearning support, 3rd party support, IT support, admin & services - "we have educated them in terms of their whole mind and body" - clubs, sports, etc - we have to replicate that in online learning - Ball State''s iLearn Premise #2 - eLearning mindstes andd our cultures of learning affect how we develop our online programs - institutions that take risks succeed, institutions thta take a step back do not succeed - success is possible, but you first have to believe that onlin innovation is what you want to do - "You have to believe" - Drector of iLearn - chief moral officer: - foster continuous learning among faculty and staff - encourage critical and creative thinking, new solutions, etc - turn research into practice, support pilot projects, fail fast - build a culture of assessment to identify successes and failures "we no longer can talk about what constitutes great teaching without evidence" - disruptive innovative - elewarning has that potential, but it won''t be destructive - educate more of your citizens at a lower cost - continbuous evolution - the more we talk about teaching and learning and the less about technology the more success you will have Premise #3 - anticipate great change - what is going to change the most? education, work, or society? - I would say all of them are going to change a lot - the drivers are deep changes in the nature of work - the jobs 20 years from now aren''t the jobs of today Overview of iearn Research Projects - new forms of content delivery - open educational resources - learning analytics - gamification - flipped intsruction - enhancing student engagement Slide: Support :: learner Centred Practices Engagement :: Blended and Online Learning Feedback :: Learning Analytics (Research-based model :: Action Research Projects) Analytics - student in the centre - types of anaytics, stakeholders, data quality and transfers, potentiql bottlenecks, scale of analytics - speed of anaytics - small data: descriptive; big data: predictive 3 Takeaways - Adopt best practices for learners (7 principles of good practice - Chickering and Gamson 1987) - what are the practices great students do - eg. self-regulation - eg. Ball State MOOC to give students better skills - note-taking, study skills, historical thinking, writing skills - help students develop their metacogntive skills - learning how to learn - most of your existing tools can be reourposed to support this - eg our HITS project - eg. pretest for foundational skills, then fix deficiencies - eg. write metacognitive questions to be answered each week - identify misunderstandings and confusions - based on data from online course - students responses result in just-in-time changes - start small pilot projects, see how it works in your ecosystem, and evaluate outcomes - collqborate with faculty and staff - strategic coordination - teaching is teaching; learning is learning Q: should we be building one platform for the whole country, o multiple platforms? A: I tend to favour one platform, because of support costs, but prefer a flexible and customizable approach - one platform for all is just good business sense Q: suggestion to use MOOCs not to teach a course, but to teach the skills hey need - but how do we make sure students use them? A: we''re going to require the prep-MOOC for every student that gets a deficiency grade at the mid-term'

Harnessing Ignorance to Spark Creativity - Bob Sutton

Bob Sutton

The ergonomics of innovation -- The McKinsey Quarterly. interview Pixar Brad Bird - Innovation lessons from Pixar Director Brad Bird - Strategy - Innovation - The McKinsey Quarterly. IBM Reshapes Its Sales Meetings - BusinessWeek. BusinessWeek: How to Make Meetings Matter. Customer-Focused Innovation. David A Owens: Creative People Must Be Stopped: 6 Ways We Kill Innovation (Without Even Trying). Innovation in a Recession: Forum | KQED|NPR.

Learning and Development Webinars

Xyleme

Building the Plane While Flying It: A Case Study on Rapid Learning Strategy Innovation at Spectrum. A catalyst for rapid learning strategy innovation at Charter Spectrum. ACC needs an educational strategy that is user-friendly, dynamic, and innovative, allowing members to easily identify their individual knowledge gaps and find educational offerings to close those gaps. 5 Reasons You’re Not Meeting the Needs of the Modern Learner.

What does it mean to be human in a digital age?

George Siemens

In trying to find our identity and focus our efforts, we’ve engaged in numerous activities including book clubs, writing retreats, innovation planning meetings, long slack/email exchanges, and a few testy conversations. I find it odd when I hear about the need for universities to be more entrepreneurial as the lab culture is essentially a startup environment. Any attempt to innovate will produce failure.

Relationships and Dynamics - Seeing Through New Lenses

John Hagel

" This fascinating book drew on extensive research pointing to fundamental cultural differences in how we see the world. While it would be difficult to summarize Nisbett’s rich analysis, I want to focus on a key distinction that he develops in his analysis of two cultural ways of perceiving our world.  It may not be too much to hope that this stew will contain the best of each culture.”. Do we all look at the world in the same way? Hardly.

[liveblog] International Conf. of Univ. Libs: Morning talks

David Weinberger

Innovate differentiated services suiting our culture’s needs. Mariel’s group is building online scheduling of meeting with libraries. We should help our students to be creative and innovate in “micro-spaces,” i.e., spaces dedicated to particular topics. We can do predictive analytics. [ She goes through some analytics with charts that I cannot capture. ]. Where are we in the economic, social, and cultural changes occurring now?