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.

The Top Ten Emerging Technologies of 2017

Irving Wladawsky-Berger

Earlier this year, Scientific American , in collaboration with the World Economic Forum , published a special report on The Top Ten Emerging Technologies of 2017. Off-Grid Devices Draw Drinking Water from Dry Air - “Sunlight-powered moisture-absorbing technologies are becoming economical”.

Trending Sources

Gender Diversity, Empathy and Technology

Irving Wladawsky-Berger

What’s the value of gender diversity in technology-based disciplines? Is gender diversity an asset for technology-based companies? Are men inherently better than women at technology-based jobs? These are questions that have long been discussed.

The need for innovation across boundaries and the power of big data analytics

Ross Dawson

The primary themes of the report were around spotting opportunities, innovation, transparency and trust, personalization, and 24/7 availability, and the implications for business. Cloud Future of business Future of work Technology trends

Technology, Marketing and Storytelling

Irving Wladawsky-Berger

My personal experiences with e-business, - and subsequent ones with Linux and other initiatives, - have sensitized me to the importance of storytelling in business and marketing, especially when introducing a disruptive innovation in the marketplace and/or needing to revitalize a troubled brand. .

Innovation in open online courses

George Siemens

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.

The Internet, Blockchain, and the Evolution of Foundational Innovations

Irving Wladawsky-Berger

Last year, a panel of global experts convened by the World Economic Forum selected blockchain as one of the Top Ten Emerging Technologies for 2016, based on its potential to fundamentally change the way economies work.

Learning Analytics: Big Data Applied to Training, Teaching, and Learning

Beth Kanter

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.

A Useful Framework for Analyzing the Impact of Technology on Jobs

Irving Wladawsky-Berger

Last week I discussed a recent Pew Research report on the impact of AI, robotics and other advanced technologies on the future of jobs. These activities are neither candidates for technology substitutions, nor can they be easily complemented with technology-based tools. .

Education Technology Strategies - Day One

Stephen Downes: Half an Hour

lessons scripted around 1:1 laptop); IT issues - we were a Windows network, with everything on our own domain - we needed to open eg printing etc O - consumer technology far more accessible in 2012 esp. dates to classical Greece How does technology change this? - Most classrooms still dominated by teachers teaching answers and students remembering them We can change the technology but if we haven''t changed the goal we really haven''t accomplished anything.

The Emergence of Industry 4.0

Irving Wladawsky-Berger

The Third, - following World War II - saw the advent of computers, digital technologies, the IT industry, and the automation of process in just about all industries. A confluence of trends and technologies promises to reshape the way things are made.

The role of informal social networks in building organizational creativity and innovation

Ross Dawson

For the last decade I have examined and applied social network analysis in and across organizations, for example in large professional firms , technology purchase decision-making , high-performance personal networks , and other applications.

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.

Artificial Intelligence is Ready for Business; Are Businesses Ready for AI?

Irving Wladawsky-Berger

In the past few years, the necessary ingredients have come together to propel AI beyond the research labs into the marketplace: powerful, inexpensive computer technologies; advanced algorithms and models; and most important, oceans and oceans of data. AI is now seemingly everywhere.

Becoming a Data-Driven Business: Challenges and Opportunities

Irving Wladawsky-Berger

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.

Data 87

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

Irving Wladawsky-Berger

Not only are there major technology and standards issues to be worked out, but the industry will have to collaborate with governments around the world to develop the appropriate legal frameworks and regulatory environments.

The Mobilisation Journal: A Way To Spread Learning About Social Change Movements Innovative Use of Technology

Beth Kanter

” What happens in the lab is that they test campaign ideas that make use of new technologies such as mobile phones, tablets, social media, email, and others, network approaches, and others. But, more importantly, the lab documents and shares what has been learned with Greenpeace’s affiliates and leaders around the world. Storytelling and Knowledge Transfer :: sharing innovations, lessons learned, fail stories, and emerging best practices.

The Transformative Power of Cloud Computing

Irving Wladawsky-Berger

Mainframes and PCs were the defining technologies of the centralized model and client-server models respectively. The Internet is the defining technology of the cloud computing model. Application innovation. Cloud-based innovations are a major part of that evolution.

Data 86

Everyday Technology: Innovative Ways To Do More With Less

Beth Kanter

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.

The (Uneven) Digitization of the US Economy

Irving Wladawsky-Berger

Digital technologies are all around us, - increasingly ubiquitous and commoditized. Can digital innovation drive long term economic growth? Digital innovation, adoption, and usage are evolving at a supercharged pace across the US economy,” notes the report in its opening paragraph. “As

Data 84

The Emerging Data Economy

Irving Wladawsky-Berger

Data has been closely intertwined with our digital technology revolution since the early days of the IT industry. Ever since, digital technologies have been permeating just about every nook and cranny of the economy, society and our personal lives.

Data 102

Learning to Apply Data Science to Business Problems

Irving Wladawsky-Berger

This past semester I was involved in an interesting course at MIT’s Sloan School of Management , - Analytics Labs (A-Lab). A-Lab’s objective is to teach students how to use data sets and analytics to address real-world business problems.

Data 104

The Evolution Toward Digital Supply Chains

Irving Wladawsky-Berger

Successful companies will need to take advantage of new management practices, a continuously expanding data reservoir, and new technologies relevant to Digital Supply Chains, if they are to achieve future competitive advantage and delight their customers.

Digital Twin: Bringing the Physical and Digital Worlds Closer Together

Irving Wladawsky-Berger

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. Each is a major transformative technology in its own right.

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. This transformation is driven by the continuing advances of technology.

Data 116

Competing Against “Digital Invaders”

Irving Wladawsky-Berger

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.

Serious AI Challenges that Require Our Attention

Irving Wladawsky-Berger

Just because experts conclude that, - at least for the foreseeable future, - AI does not pose an imminent threat to humanity, doesn’t mean that such a powerful technology isn’t accompanied by serious challenges that require our attention.

The Continuing, Transformative Impact of IT

Irving Wladawsky-Berger

Any technology expected to have a transformative impact on business over the next decade has to at least be already in the hands of leading edge users. Disruptive innovations take time to play out. Its potential for driving business innovation remains untapped.

Trends 134

Is Design Thinking the “New Liberal Arts”?

Irving Wladawsky-Berger

Its mission statement states that “Olin College prepares students to become exemplary engineering innovators who recognize needs, design solutions and engage in creative enterprises for the good of the world.”. It is not confined to an art medium or to any technology.”.

The Datafication of Business and Society

Irving Wladawsky-Berger

Its ensuing digital products have been generating all that data and its drastically lower technology costs have made it possible to store and analyze those oceans of information.

Data 126

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.

Design Principles for Complex, Unpredictable, People Oriented Systems

Irving Wladawsky-Berger

More specifically, they needed to learn how to approach problems from many perspectives and to combine various approaches to find innovative solutions.”. Business and business schools are supposed to be all about applying hard, that is, quantitative, analytical approaches to management. Analytical approaches work well when you have a pretty good understanding of the product you are developing or when you are dealing with a well defined problem.

System 109

The Growing Value of Social Skills

Irving Wladawsky-Berger

Deming’s paper builds on the work of MIT economist David Autor , a leading authority on the impact of technological change on the US labor market. Why are social skills so important in our fast-changing, technology-intensive economy?

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.”

Skills and Jobs in the Digital Economy

Irving Wladawsky-Berger

Technological revolutions are highly disruptive to economies and societies. The digital revolution has yet to fulfil its promise of higher productivity and better jobs,” said The Economist in a special report on Technology and the World Economy in its October 4th issue. “The

Reflections on Storytelling

Irving Wladawsky-Berger

Over the centuries, the nature of storytelling has significantly evolved with the advent of writing and the emergence of new technologies that enabled stories to be embodied in a variety of media, including books, films, TV and the Web.

Design 121

Anticipating the Future of the IT Industry

Irving Wladawsky-Berger

Which hot technology innovations, - e.g., artificial intelligence, the blockchain, cloud computing, - will end up having a big impact and which are destined to fizzle? These early analytics applications dealt mostly with structured information.

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.

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

Irving Wladawsky-Berger

One of the best papers on the subject is Data Science and Prediction by Vasant Dhar , - professor in NYU’s Stern School of Business and Director of NYU’s Center for Business Analytics , - which was published in the Communications of the ACM in December, 2013.

A Talk On Fast Innovation, All In One Great Picture - 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. Stanford Technology Ventures Program (STVP). Center for Work, Technology and Organization. Customer-Focused Innovation. David A Owens: Creative People Must Be Stopped: 6 Ways We Kill Innovation (Without Even Trying). Dorf & Byers: Technology Ventures.