Remove Adoption Remove Design Remove Patterns Remove Samples

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

Big Data Takes Center Stage

Irving Wladawsky-Berger

The first is what they call n=all, that is, collect and use lots of data rather than settling for small samples, as statisticians have done until now. “The The way people handled the problem of capturing information in the past was through sampling.

Data 238

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.

Machine Learning and Knowledge Discovery

Irving Wladawsky-Berger

The article told the story about Google’s adoption of an AI first strategy , and in particular, its use of deep machine learning to dramatically improve Google Translate , one of its more popular online services.

The Top Ten Emerging Technologies of 2017

Irving Wladawsky-Berger

Sustainable Design of Communities Dramatically Reduces Waste - “Moving beyond the green-home level, ambitious projects are attempting to join blocks of buildings into a single sustainable unit”. As new data is ingested, the system rewires itself based on whatever new patterns it now finds.

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. Based on a survey of over 3,000 AI-aware C-level executives across 10 countries and 14 sectors, the report found that 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 still waiting to take their first steps.

The future of higher education and other imponderables

George Siemens

The patterns of change in higher education are surprisingly similar and global. Not all countries are adopting the aggressive UK model, but tuition patterns internationally (.pdf)

Beyond Institutions Personal Learning in a Networked World

Stephen Downes: Half an Hour

Thinking in Models: for Design, for Learning… A large part of this talk is about that change. When you look at that, basically it''s like they have this model or design in their head of how we could rebuild the university system, wipe it all out, start over, and we''ll have a new model.

Engagement and Motivation in MOOCs

Stephen Downes: Half an Hour

From Col - see also Beer, Clark, Jones, Indicators of Engagement , which has much of the same content Most of the research into measuring student engagement prior to the widespread adoption of online, or web based classes, has concentrated on the simple measure of attendance (Douglas & Alemanne, 2007). Colin Beer, Ken Clark and David Jones, The Indicators Project "It has given early indication that a different LMS or different social system can influence the level of feature adoption.

Connective Knowledge and Open Resources

Stephen Downes: Half an Hour

I was trying to get them to spot fallacies by recognizing them, by seeing signs that would remind them of common patterns of argument. The difference is that a cMOOC is designed as a network, as I described above, while an xMOOC is based on a central course site and content that will be followed by all students. In a MOOC, the network is created specifically for a given course, but gRSShopper is designed to support open content distribution and syndication generally.

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

Andy McAfee

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 ). The challenge with using a product-based analogy is that it does not account for the impact and importance of design on competitive advantage -- i.e. you may have better designers, but not necessarily better processes.

MOOC - The Resurgence of Community in Online Learning

Stephen Downes: Half an Hour

Hence, a MOOC is to my mind, defined along the following four dimensions: [slide 3 – massive] Massive - here I mean not necessarily the success of the MOOC in attracting many people, but in the design elements that make educating many people possible. In practice, what this means is a system designed so that bottlenecks are not created in any of the four attributes: modeling, demonstration, practice, and reflection. but also to be involved in the design of these.

Course 201

Developer workshop - CCv1.1 and basic LTI v1.0

Stephen Downes: Half an Hour

Finally, we based it on existing standards that have already been widely adopted and were in themselves very stable. It became clear there were six basic types: multiple choice (single or multiple response), true/false, essay, fill-in-the-blank, and pattern match. Curriculum metadata identifies learning objectives, addressed by a resource (samples of roles, curriculum metadata shown). The Common Cartridge Alliance is dedicated to achieving adoption.

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