The Fourth Industrial Revolution
FEBRUARY 23, 2016
Most everyone agrees that there was a major qualitative distinction between the First and Second Industrial Revolutions. Impact on Business.
Anticipating the Future of the IT Industry
MARCH 22, 2016
How can we best anticipate the future of a complex, fast changing industry like IT? Data Centers → Cloud.
The Datafication of Business and Society
JUNE 9, 2015
Data science and datafication may be new, but the relationship between computing and data goes back to the early days of the IT industry.
The Rise of the T-Shaped Organization
DECEMBER 15, 2015
Five such attributes were identified in the study: adaptability, cultural competence, 360-degree thinking, intellectual curiosity, and empathy.
Preparing Students for an Increasingly Complex Business World
DECEMBER 23, 2014
Economic Issues Education and Talent Innovation Management and Leadership Society and Culture Five such soft competencies were identified: .
The Evolution of the Internet of Very Smart Things
OCTOBER 15, 2014
Most IoT business models also hinge on the use of analytics to sell user data or targeted advertising. The cost of connectivity.
Reflections on Storytelling
APRIL 17, 2013
Oral narratives were used by many ancient cultures as a way of passing along their traditions, beliefs and learning from generation to generation.
As Big Data and AI Take Hold, What Will It Take to Be an Effective Executive?
JANUARY 21, 2015
Big data , powerful analytics and AI are everywhere. What can executives do to create such a culture?
Personalization for Knowledge Workers
Dawn of Learning
NOVEMBER 26, 2012
Regulated Industries and Audits In regulated industries, such as Pharma, the system can know who is responsible for what products.
The Digitization of the Economy
JANUARY 30, 2013
Over time, these same disruptive technologies and innovations led to the transformation of the economy and the creation of new industries and new jobs.
Skills and Jobs in the Digital Economy
JANUARY 27, 2015
Complex Systems Data Science and Big Data Economic Issues Innovation Political Issues Smart Systems Society and Culture Technology and Strategy
The Era of Cognitive Computing
JUNE 26, 2013
The Industrial Revolution led to dramatic improvements in productivity and standard of living over the past two hundred years. players.
New Tools Beget Revolutions: Big Data and the 21st Century Information-based Society
MAY 29, 2013
Smart leaders across industries will see using big data for what it is: a management revolution.” .
A Kind of Digital “Perfect Storm”
SEPTEMBER 4, 2013
Our human nature and organizational cultures have not changed all that much in the intervening millennia. IBM barely survived. .
The Public Face of Science
MAY 9, 2016
In its Summary of Findings, the report highlights four major results. There are large differences in their views across a host of issues.”.
Could the End of Moore’s Law Be Near? If so, What’s Next?
AUGUST 4, 2015
What worries me about the future of Silicon Valley, is [its] one-dimensionality, that it’s not a Renaissance culture… It’s an engineering culture that believes that it’s revolutionary, but it’s actually not that revolutionary. The IT industry is now going through something similar. But, the progress is uneven.
Reflections on the Education of Applied Data Scientists
SEPTEMBER 11, 2013
Given my industry background and past teaching experiences , I will be personally involved in this last area of specialization. .
Traditional Data Analysis and Data Science
MAY 15, 2013
I recently participated in an industry panel on Redefining BI & Analytics in the Cloud at a conference in New York.
Social Business in the Age of the Customer
OCTOBER 18, 2012
Many businesses have set up social technologies in their organizations, yet few have truly made the technical, cultural, and process changes necessary to reap the full opportunities and benefits of these tools or the vast amounts of data they capture. Many companies are still struggling with this major cultural transition.
Cognitive Systems and Big-Data-driven Applications
OCTOBER 23, 2013
Such work is underway in a wide variety of industries. Watson Research Center. Challenge against the two best human Jeopardy!
Leadership and Rational Thinking
SEPTEMBER 29, 2011
and industries. This is an acute issue for the tech industry - but it actually applies in any field, from commerce to public services.” “But it's not just about what you create. Complex Systems Economic Issues Education and Talent Management and Leadership Political Issues Smart Systems Society and Culture Technology and Strategy
The Co-Evolution of Humans and our Tools
MARCH 3, 2011
Machine tools occasioned a surge in producing new tools in the industrial revolution. Modern human behavior is closely associated with the origin of language, the accumulation of knowledge, skills and culture, and the ability to process vast amounts of information. Brains and intelligence distinguish humans from all other animals.
The role of informal social networks in building organizational creativity and innovation
AUGUST 8, 2011
Evaluate your culture, structures and organizational climate for creativity. However this is often difficult in large, complex organizations.
What is stopping companies from measuring learning: Skillsets, datasets, toolsets or mindsets?
Dawn of Learning
MAY 16, 2014
In short, learning and development organizations and departments are suffering from an analytics crisis. And this is a high-stakes issue.
The 20th Anniversary of Linux
AUGUST 24, 2011
In mid-August I traveled to Vancouver to attend LinuxCon , the industry’s premier Linux conference. Most of the keynotes reflected on the impact of Linux on the computer industry and on society in general. A number of additional activities were also planned to celebrate this important milestone. This is nothing new, he said.
Why Innovation is Critical to Help Governments Adjust to the Realities of the 21st Century?
OCTOBER 3, 2012
These include the consolidation of IT infrastructures, cloud-based shared services, advanced analytics and electronic self-service. . Complex Systems Economic Issues Management and Leadership Political Issues Society and CultureThe private and public sectors have reacted quite differently to these structural changes.
IBM’s Trip to Become A Socially Integrated Enterprise
AUGUST 9, 2011
That’s an important aspect of the role predictive analytics will play as social analytics evolve. Are we there yet? SIE ).
The Evolving Automotive Ecosystem
MARCH 31, 2015
New software skills, representing a whole new culture are now needed. This is an issue in many other industries. Time will tell. .
The New Era of Smart, Connected Products
NOVEMBER 26, 2014
These new types of products alter industry structure and the nature of competition, exposing companies to new competitive opportunities and threats.
Innovation in an Age of Austerity
DECEMBER 16, 2010
This should create many new opportunities for innovation in the social sciences and the humanities. A similar point was made later in the day by Mary Walshok , who gave a talk on Unraveling the Cultural and Social dynamics of Regional Innovation Systems. And, how do you best predict the future impact of disruptive, new ideas? Louis $.9
Embracing Disruptive Change - Why Is it So Difficult?
MAY 19, 2015
This is the innovator’s dilemma - and no company or industry is immune.” . Cultural Limits. Circling the Wagons. Management Challenges.
Becoming a Digital Business: Progress and Obstacles
AUGUST 28, 2013
Big data and advanced analytics is another digital business trend that has made significant progress in the past year. Manage expectations.
Complexity and Design in Warfare
MARCH 18, 2011
Experts from government, industry, academia, and a variety of professions are invited to discuss their ideas on the subject - to be part of a kind of strategic conversation. Rational, analytical approaches work quite well when you have a pretty good understanding of the problem you are solving. Armed Forces. CACD [the U.S.
Current Business Forecast: Cloudy
AUGUST 31, 2011
Silicon Valley’s largest venture capital firms are raising their stakes in so-called enterprise companies, which provide software, analytics and other services to business customers. The technological and cultural gap between the giants and the start-ups is vast. As Evelyn Rusli writes. Where do you think the cloud is headed?
Organizing Big Data Initiatives: Lessons from the Internet
OCTOBER 30, 2013
About 80 percent of the participating companies said that they were already using big data and analytics to a greater or lesser extent.
Can AI Help Translate Technological Advances into Strategic Advantage?
MAY 17, 2016
But it’s getting harder for our smart machines to truly impress us. These questions have no easy answers, as we have learned over the years.
Why Do We Need Data Science when We’ve Had Statistics for Centuries?
APRIL 30, 2014
Finally, beyond access to the appropriate skills, are there cultural and management implications in embracing data science in the business world?
MOOCs for Development - Day 2
Stephen Downes: Half an Hour
APRIL 11, 2014
stay close to local - promote OERs - non-forma;l and co-created - sidestep copyright issues - can generate a national voice (eg FutureLearn - choice of national cultural institutions) - Contexts matter. The Challenge of MOOCs Panel Stephen Downes Please see my presentation and audio here: [link] N.V. Discussion - SD - elites? the authors?
Hope for HP's Culture - Bob Sutton
MARCH 10, 2011
Davenport: Competing on Analytics: The New Science of Winning. Adam Penenberg: Tragic Indifference: One Mans Battle with the Auto Industry over the Dangers of SUVs. As one former HP executive explained, once they put that word on the signs, she knew that HP's brilliant culture of innovation was fading fast. Search.
The 2016 Look at the Future of Online Learning
Stephen Downes: Half an Hour
MARCH 4, 2016
Predictive analytics will grow in significance in terms of student retention and learner support. I did a double take when I read this, since I thought we were done with analytics, but the author assumed (I guess) that we need a whole second class of analytics, this time to predict what students will do. It's a beautiful thing.