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The State of AI Adoption - High Performers Show the Way

Irving Wladawsky-Berger

For the past few years, the McKinsey Global Institute has been conducting a yearly survey to assess the state of AI adoption. Its 2017 survey of over 3,000 AI-aware executive found that outside the technology sector, AI adoption was at an early, often experimental stage.

How to Support the Widespread Adoption of AI

Irving Wladawsky-Berger

Only 8% of firms are engaged in practices that support widespread adoption. To support the widespread adoption of AI, companies must make three fundamental shifts. In their 2009 book Wired for Innovation: How Information Technology is Rewiring the Economy , Erik Brynjolfsson and Adam Saunders introduced the concept of organizational capital as the necessary critical ingredient that enabled a company to take full advantage of major IT advances.

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Managing Complex, Disruptive Innovations - Some Lessons Learned

Irving Wladawsky-Berger

One of the major challenges in managing disruptive innovations is that even if you are sure that change is inevitable and you must therefore embrace the new ideas and technologies, you really don’t know what lies ahead. You don’t really know how quickly the new innovations will be adopted in the marketplace. It was about how to best leverage a new disruptive technology, the Internet, for business value.

Bridging the World’s Knowledge Divide: Technology + Competition, Skills and Institutions

Irving Wladawsky-Berger

This year’s event was focused on the impact of digital technologies on economic development in emerging and developing countries. It was organized around six different sessions , each of which explored the links between technology and development through a different lens. . I would now like to discuss another brief which I found quite interesting, - Will the Spread of Digital Technologies Spell the End of the Knowledge Divide? ,

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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. Only 20 percent of respondents had adopted AI at scale in a core part of their business. 40 percent were partial adopters or experimenters, while another 40 percent were essentially contemplators.

Towards a Trusted Framework for Identity and Data Sharing

Irving Wladawsky-Berger

For example, to buy alcohol, all you need is proof that the individual is over the legal drinking age. Current firewall, event sharing, and attack detection approaches are simply not feasible as long-run solutions for cybersecurity, and we need to adopt an inherently more robust approach. The optimal technology for such an inherently safe data ecosystem is currently being built and tested [in] MIT’s Enigma project.”.

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Impact of AI on Government - Opportunities and Challenges

Irving Wladawsky-Berger

To help manage this transformation, government leaders should communicate often with employees to explain the potential of AI to alter their work using concrete examples from early adopters. A number of surveys have found that leveraging digital technologies to provide a superior customer experience is one of the top priorities in the private sector.

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

Irving Wladawsky-Berger

Home/Service Robots. “Over the next fifteen years, coincident advances in mechanical and AI technologies promise to increase the safe and reliable use and utility of home robots in a typical North American city.”. Low-resource communities. “With targeted incentives and funding priorities, AI technologies could help address the needs of low- resource communities.”. Hardware platforms remain challenging to build, and there are few applications that people want enough to buy.

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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. That’s because blockchain is not a disruptive technology, whose impact, once in the marketplace, is often quite rapid. Foundational innovations must overcome many barriers, - technological, organizational, governance, political.

Blockchain and Business Process Transformation

Irving Wladawsky-Berger

You could track the status of your packages, access the latest sports results, check the weather of any city in the world or buy a book or CD. Companies and industries also took decades to learn how to reap the productivity benefits of previous transformative technologies, like the steam engine and electricity.

Mobile Payments - a Long, Relentless War of Attrition

Irving Wladawsky-Berger

The key barrier to the adoption of these mobile payment innovations is that while the payment system that we’ve long used is highly complex and inflexible, it actually works quite well. “As it turns out, consumers like dipping and swiping just fine and are not dissatisfied with their plastic cards, even if they happen to have a phone in their hand with the capacity to use a mobile wallet.”. Apple Pay was launched in September of 2014.

The Datafication of Business and Society

Irving Wladawsky-Berger

But digitalization , - its companion concept which captures the impact of the digital revolution on the economy and society, - has been in use since computers were widely adopted around 60 years ago. 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.

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The (Uneven) Digitization of the US Economy

Irving Wladawsky-Berger

Digital technologies are all around us, - increasingly ubiquitous and commoditized. Digital innovation, adoption, and usage are evolving at a supercharged pace across the US economy,” notes the report in its opening paragraph. “As As successive waves of innovation expand the definition of what is possible, the most sophisticated users have pulled far ahead of everyone else in the race to keep up with technology and devise the most effective business uses for it.”.

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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. Only 20 percent of respondents had adopted AI at scale in a core part of their business. 40 percent were partial adopters or experimenters, while another 40 percent were essentially contemplators.

The Continuing Evolution of Cloud Computing

Irving Wladawsky-Berger

Early adopters viewed cloud as computing-on-demand. Instead of having to buy and operate their own hardware and software products, users could now obtain the computing resources they needed over the Internet on demand. . I nstead of having to buy computing resources up front, users now had the flexibility of only paying for whatever cloud resources they actually used. .

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. Many trends reflect the growing dominance of the Internet as an enabling technology, as well as a model and metaphor for commercial and social interactions,” says the report in its introduction. Just about everyone agrees that these are foundational technologies, like the Internet twenty years ago, that every business must embrace.

Data 208

Blockchain and the Promise of an Open, Decentralized Internet

Irving Wladawsky-Berger

His article aims to explain what blockchain, cryptocurrencies and related technologies are all about as well as their potential impact on the economy and society. These are not only complex but esoteric subjects, as nicely illustrated in this funny video. In their early years, it’s hard for most people to appreciate the potential of a transformative technology.

Blockchain and Business Process Transformation

Irving Wladawsky-Berger

You could track the status of your packages, access the latest sports results, check the weather of any city in the world or buy a book or CD. Companies and industries also took decades to learn how to reap the productivity benefits of previous transformative technologies, like the steam engine and electricity.

Reinventing Relationships

Irving Wladawsky-Berger

Once upon a time, new technologies were first deployed in large institutions - enterprises, universities and research labs, the military and civilian government agencies, - from which they eventually trickled down to the rest of the economy as their prices and complexity dropped. Forty years ago, for example, the computer industry consisted primarily of expensive mainframes and supercomputers that only larger institutions could afford to buy and operate.

En Route to the Cashless Society

Irving Wladawsky-Berger

The articles are generally focused on two key aspects of mobile digital money : innovative technologies and apps, which are primarily being introduced in the more advanced economies; and the financial inclusiveness of the poorer segments of society in developing economies. He writes about his experiences buying a cappuccino at a coffee house in New York City. In advanced economies, these are the kind of once-near-magical digital technology innovations that we now take for granted.

stevenberlinjohnson.com: Dawn of the digital natives - is reading declining? | Technology | The Guardian

Steven Berlin Johnson

Technology | The Guardian A number of people wrote in late last year to ask what I thought of the NEA report on declining literacy, To Read Or Not To Read , in the light of my arguments in Everything Bad Is Good For You. " But then the data turns out to be complex, inconsistent and not really that alarming at all. Technology | The Guardian : Comments I came from NY today, arriving in S.Paulo this morning. stevenberlinjohnson.com « Outside.In

Information, Money and Related Subjects

Irving Wladawsky-Berger

Given this intangible character of money, it is not surprising that major advances in information technologies have in turn led to major advances in the way we deal with money and payments. Then in the 1990s, the wide adoption of the Internet and World Wide Web led not only to online banking, but paved the way for online shopping and e-commerce in general. Ordinary Indians will find it easier to buy and sell things online,”.

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Social Business: e-business 2.0. and Beyond

Irving Wladawsky-Berger

technologies and Social Media applications emerged several years later, it is natural that e-business would have now evolved into something like e-business 2.0 , continuing to leverage (the more recent advances of) the Internet for business value. While this book focuses on the value of becoming a Social Business, I don’t want to downplay the importance that social technology has played in my personal life. The answer, in a nutshell, is technology.

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. Flat panel technologies have been around for decades.

Open, Collaborative Trust Frameworks

Irving Wladawsky-Berger

Regulatory and policy practices cannot possibly keep pace with technological change. Therefore, ID ³ believes, governance principles should be expressed as software that is then able to evolve to incorporate advances in technology and to support changing market and societal requirements. The notion of adopting such an approach for the development of digital trust frameworks feels like another major disruptive initiative with potentially major implications.

IT, Productivity and Organizational Capital

Irving Wladawsky-Berger

In an analysis of US labor productivity over the previous fifty years, Harvard economist Dale Jorgenson and his collaborators concluded that “the pessimism of the computer productivity paradox gave way to near-universal belief in a productivity resurgence led by information technology in the late 1990s. Given their fast declining prices, these companies have been able to acquire and deploy significantly more information technologies across all their operations.

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. 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.

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A Time of Institutional Recomposition

Irving Wladawsky-Berger

There is little question that our economy, our society and just about all our institutions are going through major structural changes mostly caused by the digital technology revolution that has been all around us for the past several decades. Such technology-based structural changes are not new. Our present information technology and telecommunications age, whose starting point Perez pegs at 1971, is the fifth such major revolution in that span.

NTEN’s We Are Media Project | Full Circle Associates

Nancy White

There is a veritable blossoming of projects to help people learn about and adopt social media these days. The resulting curriculum which will live on this wiki and will also cover important organizational adoption issues, strategy, ROI analysis, as well as the tools.

Cloud - the Emergence of a New Model of Computing

Irving Wladawsky-Berger

They don’t care about the hardware, software or the details of the underlying technology. Mainframes were built using fairly sophisticated, powerful and expensive technologies. These technologies paved the way for the new, distributed client-server model of computing. High utilization, efficiency and reliability were not major design objectives because they would add to the cost and complexity of the machine. Different departments could buy their own systems.

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Leveraging Commercial Best Practices to Maximize Government Productivity

Irving Wladawsky-Berger

On October 6, the Technology CEO Council released its report One Trillion Reasons: How Commercial Best Practices to Maximize Productivity Can Save Taxpayer Money and Enhance Government Services. The Council believes that their recommentations are actionable, proven ways of reducing the deficit, which are based on real-world expertise, information technologies and organizational practices that are already being successfully applied in the private sector.

Bigger is Not Necessarily Better in Our Information-Rich Digital Economy

Irving Wladawsky-Berger

I recently read an intriguing column, - The End of Mass Production , - by technology author and columnist Kevin Maney. Information technology is eroding the power of large-scale mass production. The Internet, software, 3D printing, social networks, cloud computing and other technologies are making this economically feasible - in fact, desirable.”. A series of breakthrough technologies and new business models are destroying the old rule that bigger is better,” he wrote. “By

The MIT Distributed Leadership Forum

Irving Wladawsky-Berger

The key quality you need for good leadership is passion - instilling a sense of urgency in the people around you to attack and solve the complex problems that all organizations face. It was a very stimulating event, with lots of interesting discussions on a variety of subjects related to leadership, innovation, organizations, management, technology, and all kinds of related subjects. The MIT Leadership Center is one of several research groups in the MIT Sloan School of Management.

Well Played, Blackboard

George Siemens

Desire2Learn – the object of a failed Blackboard lawsuit (new t-shirt slogan for BB “all I got from this lawsuit was this lousy reputation&# ) – continues to be an active player (a reasonable argument could be made that Blackboard is largely responsible for the rapid uptake of Moodle following the announcement of its lawsuit…has anyone done a market share analysis that traces adoption of Moodle in relation to the lawsuit? Well, technology is getting complex.

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The race to platform education

George Siemens

Pearson and Google appear to be making in-roads in this space with Open Class : Today Pearson, the publishing and learning technology group, has joined the software giant Google to launch OpenClass, a free LMS that combines standard course-management tools with advanced social networking and community-building, and an open architecture that allows instructors to import whatever material they want, from e-books to YouTube videos. Well, technology is getting complex.

Deal with the system as a whole please

Dave Snowden

11: You can't reduce or aggregate a complex system and trying is wrong a priori. In effect you buy the right to make money. My favourite Magpie adopts the same approach, cobbling together bright shiny things to create a fun environment. However if we shift to a complex one then the properties of the system as a whole is not the sum of the parts but are unique to the system as a whole. Now all of this is true a priori in a complex adaptive system.

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Edge Perspectives with John Hagel: SOA Versus Web 2.0?

John Hagel

technologies for the enterprise. " As I indicated in my previous posting, a cultural chasm separates these two technology communities, despite the fact that they both rely heavily on the same foundational standard - XML. SOA proponents ignore these technologies at their peril.

Scaling: merge, match & masticate

Dave Snowden

Cognitive Edge has been working with the UNDP on how do you scale success in the development sector and we recently ran a fascinating event in New York look at the science of how complex adaptive systems scale which is now moving into early experimental use. At the same time in the Agile community we have the controversies over SAFe where scaling seems to mean ​how do I get senior IT management to adopt Agile practice rather than how do I scale success per se.

Remaking education in the image of our desires

George Siemens

Change is happening on many fronts: economic, technological, paradigmatic, social, and the natural cycles of change that occur in complex social/technical systems. It’s not about adding a new technology into a classroom. In education, there are many points of innovation in response to global trends: open education resources, internationalization, joint partnerships with universities in developing economies, adoption of new technology, and new pedagogical models.

Business or Pleasure? - why not both: Semantic Web - a tech fix.

Martijn Linssen

Hence, one should be very careful to abuse technology: your organisation might be very much against it by the time you do need it, and are actually ready for it If its too complicated for humans, machines cant do it for you. My point is that we must not confuse the technologies with the ideas.

Reflections on Cloud Computing

Irving Wladawsky-Berger

Last summer, IBM launched a study of cloud computing sponsored by the IBM Academy of Technology and led by our top experts in the area. It's wildly popular with startups, exactly fits the way small businesses like to buy things, and has the potential to completely upend IT as we know it. Infrastructure and operations professionals can try to ignore it as it is just in its infancy, but doing so may be a mistake as cloud computing is looking like a classic disruptive technology."

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My 25 Years of Ed Tech

Stephen Downes: Half an Hour

My point with this article is that, in writing about the last 25 years of technology, Weller is writing about my history. I notice Weller cites Alan Levine's early use of BBS technology (it's unfortunate that this is the only bit of Levine's massive contribution he cites, and that it's nothing more than a comment on Weller's own blog). Diversity University started out as an educational MUD; Walden University was also an early adopter, and a whole bunch more.

WISE in Qatar

Jay Cross

Everyone lamented the complexity of technology, the need for massive funding, and the difficulty of figuring things out. The technology is the internet and it’s self-organizing. The hardware is the cell phone, and at current adoption rates, everyone is going to have one.