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.

The Current State of AI Adoption

Irving Wladawsky-Berger

In the past few years, the necessary ingredients have finally come together to propel AI beyond early adopters to a broader marketplace: powerful, inexpensive computer technologies; advanced algorithms; and huge amounts of data on almost any subject. AI is seemingly everywhere.

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

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. From experience-based, leader-driven decision making to data-driven decision making at the front line.

Harvard Library adopts LibraryCloud

David Weinberger

Internal to Harvard Library, it’s a metadata hub that lets lots of different data inputs be normalized, enriched, and distributed. As those inputs change, you can change LibraryCloud’s workflow process once, and all the apps and services that depend upon those data can continue to work without making any changes. That’s because LibraryCloud makes the data that’s been input available through an API which provides a stable interface to that data. (I

Five Ways People Adopt And Love Change

Adaptive Path

Luckily, a communications expert named Everett Rogers looked deep and long at how human beings actually look at and choose to adopt something new and innovative. I love this because Rogers doesn’t look at what sells, but at what actually gets adopted and really, truly used.

Towards a Trusted Framework for Identity and Data Sharing

Irving Wladawsky-Berger

As the economy and society move toward a world where interactions are primarily governed by digital data and transactions, our existing methods of managing identity and data security are proving inadequate. Few institutions will let their critical data out of their premises.

Data 238

Big Data Takes Center Stage

Irving Wladawsky-Berger

A few recent articles have expressed concerns that big data may be at the peak of inflated expectations in the so-called hype cycle for emerging technologies, and will soon start falling into the trough of disillusionment. So is big data. .

Data 238

A Data Science Approach to Organizational Health

Irving Wladawsky-Berger

They then conducted an extensive survey to quantify the state of adoption of these 37 management practices, and received over 600,000 responses from more than 500 organizations around the world. A 2013 Deloitte report, Success or Struggle?

Data 242

The Data Bubble redux

Doc Searls

It gets worse: In between the Internet user and the advertiser, the Journal identified more than 100 middlemen — tracking companies, data brokers and advertising networks — competing to meet the growing demand for data on individual behavior and interests.The data on Ms.

Data 178

In Defense of Data Centrism

Martijn Linssen

Home About Complexity Reading List Knowledge Management Reading List In Defense of Data Centrism John 0 comments Education System Dec 23 In the never ending search to know “what works,” we have a few choices. We can look to theories, i.e., this ‘should’ work; or we can look to data.

Data 208

Data From The Edge

Andy McAfee

In the real world (as opposed to the lab), it’s incredibly difficult to accurately and confidently assess the performance improvement associated with any technology adoption. OSISoft adopted Socialtext’s Enterprise 2.0 Are you persuaded by the data in this report?

Data 266

Measuring the Effectiveness of Social Distancing Policies

Irving Wladawsky-Berger

The project, - led by visiting professor Esteban Moro and professor Alex ‘ Sandy ’ Pentland - uses aggregated anonymous geolocation data from digital devices to estimate where different groups of people in US cities spend their time.

An Increasingly Digital “New Normal”

Irving Wladawsky-Berger

Adoption of new technologies and working models. This has caused many providers to rapidly test and adopt telehealth protocols that were often nonexistent in many medical offices before, and to navigate privacy compliance as well as patient receptivity to engaging in these new channels.”.

Data 198

The impacts of Data Science, Machine Learning and Artificial Intelligence on Learning and Development

Stephen Downes: Half an Hour

The Basics Data science touches on artificial intelligence, machine learning learning, deep learning. Data science: methodologies, tools (statistical, algebra, programming, etc.), processes and techniques for understanding data to drive insights and value from data sets.

Data 170

The State of AI in the Enterprise

Irving Wladawsky-Berger

All of these respondents were early AI adopters compared with their counterparts in an average company, - 90% were directly involved in their company’s AI projects, and 75% said that they had an excellent understanding of AI. Early AI adopters struggle with an array of basic challenges.

Data 233

[2b2k] Tagging big data

David Weinberger

is proposing making it easier to find big scientific data sets by using a standard tag, along with a standard way of conveying the basic info about the nature of the set, and its terms of use. “The group hopes to come up with a protocol within a year that researchers creating large data sets will voluntarily adopt.

Data 116

[eim][semtechbiz] Enterprise Linked Data

David Weinberger

Traditionally we dealt with this type of demand via data warehousing: put it all in one place for easy access. Jeffrey Pollock says we should be talking not about data integration but interoperability because the latter implies a looser coupling. So, they decided to grab data from the linked open data data cloud and assemble the pages automatically. Elsevier uses Linked Data to manage their assets, from acquisition to delivery.

Data 122

The Future of Learning: Digital, Distributed, Data-Driven

George Siemens

Years ago, I had a long chat with Gardner Campbell , one of the smartest people in the edtech space, about the role of data and analytics. I can contribute by not ignoring the data-centric aspects in education and engage them instead and then attempting to influence analytics use and adoption so that it reflects the values that are important for learners and society. Slides from my talk today are below: Future of Learning: Digital, distributed, and data-driven from gsiemens

Data 146

Why Some AI Efforts Succeed While Many Fail

Irving Wladawsky-Berger

To help answer these questions, the study looked for patterns in the survey data and in the executive interviews to uncover what the companies that are succeeding with AI are doing. As a result, their AI efforts have an IT- or data-analyst-centric focus.

Survey 206

The Economic Value of Artificial Intelligence

Irving Wladawsky-Berger

Companies that are slow to adopt these AI-based productivity improvements will find themselves at a serious competitive disadvantage. Developing economies will experience more modest GDP growth due to their lower AI adoption rates. Adoption time frame: near term - 41%; mid term - 59%.

Data 245

The False Promise of "Adopt now, and all will adapt"

Martijn Linssen

why not both Home About Contact Tuesday, 28 December 2010 The False Promise of "Adopt now, and all will adapt" Its the most widespread lie across IT. Adopt this once , and youll be able to adapt to any and all applications moving and and out of your IT landscape.

The Puzzling Technology Adoption Discrepancy Between Individuals and Institutions

Irving Wladawsky-Berger

The Foundation index, measures the fast moving advances in technology performance and adoption, as well as the shifts of global public policy that are reducing the barriers to entry and movement. This discrepancy in technology adoption has been observed for the past few years.

Data Driven

Tony Karrer

If you want to really improve the numbers via a performance improvement initiative then you need to start and end with the data. Using a data driven approach to performance improvement is a passion of mine. In these cases, we've used various data points as proxies for the key metrics.

Data 130

The massive impact on economic growth of open data in government

Ross Dawson

I was very pleased to see today’s launch of the report Open for Business: How Open Data Can Help Achieve the G20 Growth Target , from Nicholas Gruen’s Lateral Economics , commissioned by Omidyar Networks , the philanthropic organization of eBay founder Pierre Omidyar.

Data 261

[2b2k] Public data and metadata, Google style

David Weinberger

Upload a set of data, and it will do some semi- spiffy visualizations of it. (As More important, the data you upload is now publicly available. And, more important than that, the site wants you to upload your data in Google’s DSPL format. If your dataset uses one of the familiar types of data, such as a year, geographical position, etc., You create a “slice&# or two, that is, “a combination of concepts for which data exists.&#

Data 149

The Economic Value of Digital Identity

Irving Wladawsky-Berger

In a world that’s increasingly governed by digital transactions and data, our existing methods for managing security and privacy are proving inadequate. Data breaches, large-scale fraud, and identity theft have become more common. Identity plays a major role in our everyday life.

Data 206

The Third Wave of the Digital Economy - Promises and Challenges

Irving Wladawsky-Berger

big data, smartphones and cloud computing. Building and adopting the new connected, automated, and intelligent technology system will lead to enormous benefits globally, not least of which will be robust rates of productivity growth and improvements in living standards.

Data 221

The Impact of AI on the World Economy

Irving Wladawsky-Berger

It looked at their adoption of five broad categories of AI technologies: computer vision, natural language, virtual assistants, robotic process automation, and advanced machine learning. AI adoption could widen gaps between countries, companies, and workers.

Data 216

Reality mining, pervasive data capture, and how Big Data can create value

Ross Dawson

CIO magazine did a nice article titled IIIS: Big Data driving new trends which reviews my keynote and the one immediately after from Steve Duplessie , one of the world’s top analysts on data and storage. If you look at an office environment there is an extraordinary amount of data to look at. You can literally get terabytes of data out of just a few hours of this. This requires all that data within the organisation to be captured and used effectively.”.

Data 186

Impact of AI on Government - Opportunities and Challenges

Irving Wladawsky-Berger

In particular, AI will have a major impact in three key areas: the transformation of the federal workday, the potential for personalized customer service and the increased importance of technical and data skills. Large-scale fraud, identity theft and data breaches are becoming common.

Data 143

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.

Data 212

A Framework for Building AI Capabilities

Irving Wladawsky-Berger

But, despite its market acceptance, a recent McKinsey report found that AI adoption is still at an early, experimental stage, especially outside the tech sector. The report adds that the gap between the early AI adopters and everyone else is growing.

Data 207

Innovation and National Security in the 21st Century

Irving Wladawsky-Berger

Support Technology Adoption in the Defense Sector. “ Federal agencies and each of the military services should dedicate between 0.5

An Agile, Incremental Approach to Business Process Automation

Irving Wladawsky-Berger

By integrating their existing transaction and data based applications with a web front-end, - a strategy we succinctly described as Web + IT, - any business could now be in touch with its customers, employees, suppliers and partners at any time of the day or night, no matter where they were.

The Identity Challenge: On the Internet, Nobody Knows You're a Dog

Irving Wladawsky-Berger

I recently read Better Identity in America , a report by the Better Identity Coalition , an organization launched earlier this year to focus on promoting the development and adoption of solutions for identity verification and authentication.

Business or Pleasure? - why not both: Integration: your place or.

Martijn Linssen

Adopt vs adapt Adopt versus adapt is the central theme in Integration. For the last 15 years, its been the central question in my working life: who will adopt, and who will have to adapt? Subscribe Top Posts Generations, Social and Enterprise: adopt vs adapt Enterprise 2.0:

The Rise of Global, Superstar Firms, Sectors and Cities

Irving Wladawsky-Berger

Moreover, the larger the network, the more data is available to customize offerings and better match supply and demand, further increasing the platform’s value. In the 1990s, t he Internet was supposed to usher a much more open, decentralized, democratic economy and society.

Data 188

Blockchain Beyond the Hype

Irving Wladawsky-Berger

Blockchain is still in its early phases of experimentation and adoption. Blockchain enables the members of an ecosystem to securely share data even if all the members are not fully trusted. Blockchain is just a means to securely share the data stored in it.

Data 176

The Economic Potential of The Internet of Things

Irving Wladawsky-Berger

The estimate is based on the likely evolution of technology over the next 10 years, the rates of IoT adoption, economic and demographic trends, and several other factors. Adoption depends on having certain technologies, organizational capabilities, and policies in place.

Data 255

The Datafication of Business and Society

Irving Wladawsky-Berger

I first encountered the term datafication in The Rise of Big Data: How It’s Changing the Way We Think About the World , by Kenneth Cukier and Viktor Mayer-Schönberger. Datafication is a fairly new concept associated with our recent data revolution.

Data 247

The Jobs Outlook for 2022

Irving Wladawsky-Berger

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.

Survey 169

Getting on the AI Learning Curve: A Pragmatic, Incremental Approach

Irving Wladawsky-Berger

Over the past several years, the necessary ingredients have come together to propel AI beyond the research labs into the marketplace: powerful, inexpensive computer technologies; huge amounts of data; and advanced algorithms including machine learning.

The MIT Intelligence Quest

Irving Wladawsky-Berger

AI was reborn in the 1990s when it adopted a more applied, engineering-oriented paradigm. The new AI paradigm enabled computers to acquire intelligent capabilities by ingesting and analyzing large amounts of data using powerful computers and sophisticated algorithms.

Data 159