Remove Innovation Remove Patterns Remove Samples Remove Technology

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”.

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. These technologies, - selected by a global panel of experts , - “are expected to become increasingly commonplace in the next few years,” and are “attracting increased funding or showing other signs of being ready to move to the next level.”. The full report includes a one-page description of each of these technologies.

Social Physics and Cybercrime Detection

Irving Wladawsky-Berger

Social physics is based on the premise that all event-data representing human activity, - e,g,, phone call records, credit card purchases, taxi rides, web activity, - contain a special set of group behavior patterns.

Data 201

Social Physics - Reinventing Analytics to Better Predict Human Behaviors

Irving Wladawsky-Berger

T hey eventually discovered that all event-data representing human activity contain a special set of social activity patterns regardless of what the data is about. AI is rapidly becoming one of the most important technologies of our era.

AI - the Creation of a Human-Centric Engineering Discipline

Irving Wladawsky-Berger

AI is rapidly becoming one of the most important technologies of our era. the discipline focused on finding patterns in data and on making well-founded predictions, tests of hypotheses and decisions.”.

Data 141

A Framework for Building AI Capabilities

Irving Wladawsky-Berger

AI will likely become the most important technologies of our era as it’s improved upon over time, but we’re still in the early stages of deployment. Companies should look at AI through the lens of business opportunities, rather than technologies.

Data 207

Machine Learning and Knowledge Discovery

Irving Wladawsky-Berger

This is evidenced by the number of companies embracing AI as a key part of their strategies, the innovative, smart products and services they’re increasingly bringing to market, and the volume of articles being written on the subject.

Data 184

Human-AI Decision Systems

Irving Wladawsky-Berger

It’s enabled the construction of AI algorithms that can be trained with lots and lots of sample inputs, which are subsequently applied to difficult AI problems, including natural language processing, language translation and computer vision.

System 155

A Framework for Building AI Capabilities

Irving Wladawsky-Berger

AI will likely become the most important technologies of our era as it’s improved upon over time, but we’re still in the early stages of deployment. Companies should look at AI through the lens of business opportunities, rather than technologies.

Data 167

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 256

Creating More Intelligent Organizations

Irving Wladawsky-Berger

The CCI was founded to study how new communications technologies are changing the way people work together. organize these collaborations and enhance them with innovative IT-based. I recently read a fascinating online conversation on Collective Intelligence with Tom Malone.

Human-AI Decision Systems

Irving Wladawsky-Berger

Traditionally, decision systems have been confined to individual physical domains, such as logistics, physical plant, and human resources, and more recently virtual domains such as cyber, by both policy and technology, resulting in challenges with the integration of information across disparate domains.”. As new data is ingested, the system rewires itself based on whatever new patterns it now finds.

System 100

A Framework for Building AI Capabilities

Irving Wladawsky-Berger

AI will likely become the most important technology of our era as it’s improved upon over time, but we’re still in the early stages of deployment. It’s only been in the last few years that complementary innovations, especially machine learning have taken AI from the lab to early marketplace adopters. Companies should look at AI through the lens of business opportunities, rather than technologies.

The 2010 IBM Global CEO Study

Irving Wladawsky-Berger

Given the realities of globalization, disruptive innovation, and profound changes across technology, markets and society, it should not be surprising that CEOs and their companies must now navigate a highly volatile and unpredictable business environment. Even more striking, during the economic crisis, Standouts’ revenue growth was six times higher than the rest of the sample. Standouts practice and encourage experimentation and innovation throughout their organizations.

Study 167

The future of higher education and other imponderables

George Siemens

Since my experience at Red River College, I’ve spent quite a bit of time traveling and speaking about changes in knowledge, learning, teaching, technology, and by extension, the system of education. The patterns of change in higher education are surprisingly similar and global.

Human Sensor Networks… the ultimate executive coach

Dave Snowden

The framework of meaning may relate to corporate culture, innovation, safety, engagement, knowledge transfer, or other topic spaces with some initiatives having a combination.” The use of SenseMaker® is delivering valuable patterns of meta-data to make the lessons learning and culture programs effective. They are asked over the next week to read these articles and to complete the innovation SenseMaker® site for each article.

How to support informal learning

Jay Cross's Informal Learning

Moreover, Cross has keynoted such conferences as Online Educa (Berlin), I-KNOW (Austria), Research Innovations in Learning (U.S.), Quality in eLearning (Bogota), LearnX (Melbourne), and Learning Technology (London). Formal learning is patterned after schools. Interview.

All The Good Ideas Links That Are Fit To Print

Steven Berlin Johnson

While Good Ideas is less conspicuously argumentative than the last big conversation-starter I wrote, Everything Bad Is Good For You , it does make a sustained argument about how societies innovate, and I’d hoped that reviewers and bloggers and op-ed columnists would pick up on that argument. I got my start as a journalist writing about technology for the UK Guardian, and so it was particularly fun to see this feature by the very clever Oliver Burkeman run in its pages.

195 posts about MOOCs

Jay Cross

patterns, social psychology, value network analysis, anthropology, complexity theory, and more. This September, George Siemens , Stephen Downes and Dave Cormier are hosting another Massively Open Online Course, Change: Education, Learning and Technology. Technology. Page 1 of 2.

eLgg 238

Pick of the Month: August 2012

Jane Hart

… Social technologies have the potential to free up expertise trapped in departmental silos. What really happens is that one innovation is built on top of what’s gone before. August is typically a quiet month, but there have been plenty of good blog posts and articles around.

PKM 199

Beyond Institutions Personal Learning in a Networked World

Stephen Downes: Half an Hour

Models of how to select educational technology including customized lists of LMS features, a way of picking among those 305 features of a learning management system that you might want to solve the educational problems at your institution. This is the future of this technology.

Seminar on MOOCs, Lyon, France, Day 2

Stephen Downes: Half an Hour

Result: Open Social Web Apps Case Study - principle innovation of xMOOCs - studented content in 15-minute chunks - cMOOCs and xMOOCs in social media - two student spresenting to each other - group projects - peer evaluation Context Go-Lab - Global Online Science Labs for Inquiry Learning at School - mass access to: - scientific data - virtual experiences & simulations - actual scientific labs and instruments - as a means of access applications - eg.

Innogive Conference Panel Resources: Mobile is the Needle, Social is the Thread

Beth Kanter

focusing on how information consumption patterns are changing in light of these two technological developments. She is also the Membership Director at NTEN: The Nonprofit Technology Network.

New York City Halts Teacher Bonus Program: Another Blow to.

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.

It’s Like This… : Andrew McAfee’s Blog

Andy McAfee

And he immediately hit on an apparent paradox: how can universally available technology contribute to competitive differentiation? Instead, they both provide environments thatinventors and innovators use to bring their ideas to life. SAPs of the world need to go a component based model and leave the designing of the business processes (using these components to the innovative minds of the digital factory ). How is that being harnessed and innovated upon by the buyer?