Realizing the Economic Promise of Predictive Analytics

Irving Wladawsky-Berger

Wikipedia defines predictive analytics as a set of statistical techniques, - such as data mining, business analytics, and machine learning, - “that analyze current and historical facts to make predictions about future or otherwise unknown events.”

The Current State of AI Adoption

Irving Wladawsky-Berger

For the past few years, McKinsey has been conducting a yearly online survey to help assess the state of AI adoption. As was the case in 2019, the high-tech sector leads the way in AI adoption, followed by the telecom and the automative and assembly sectors.

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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. Productivity studies at both the firm level and the establishment (or plant) level during the period 1995-2008 reveal that the firms that saw high returns on their technology investments were the same firms that adopted certain productivity-enhancing business practices.”.

Reflecting on Learning Analytics and SoLAR

George Siemens

The Learning Analytics and Knowledge conference (LAK16) is happening this week in Edinburgh. I have great hope for the learning analytics field as one that will provide significant research for learning and help us move past naive quantitative and qualitative assessments of research and knowledge. Would you be interested in participating in a discussion on educational analytics (process, methods, technologies)? Not everyone was a fan of the idea of learning analytics.

Open Symposium: Policy and Strategy for Learning Analytics Deployment

George Siemens

We ( SoLAR ) are organizing an online symposium on Policy and Strategy for Learning Analytics Deployment. A short intro video to the goal of the symposium: From the symposium description: While research in learning analytics has advanced, limited attention has been paid to the larger policy and strategy considerations that influence the adoption and deployment of analytics in educational settings.

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. The specific technologies highlighted in the reports are place along a continuum of near-term, mid-term, and far-term field adoption: One year or less to adoption: Cloud Computing (K-12), Mobile Learning (K-12), MOOC (Higher Ed), Tablet Computing (Higher Ed). The State of Learning Analytics in 2012: A Review and Future Challenges.

Ethical Codes and Learning Analytics

Stephen Downes: Half an Hour

Abstract The growth and development of learning analytics has placed a range of new capacities into the hands of educational institutions. The ethics of learning analytics will therefore need to be developed on criteria specific to education.

Social Media Measurement and Learning Analytics: How Do I Love Thee, Let Me Count the Ways

Beth Kanter

I tested out the five phases of falling in love with measurement. Given the topic was measurement, I couldn’t help but go a little meta and play with incorporating learning analytics into the instruction. This blog post shares some insights about those two somewhat disconnected ideas. Learning Analytics. I Love Social Media Measurement. View more presentations from Beth Kanter.

Adopting The No Asshole Rule: Don't Bother If The Words Are.

Bob Sutton

Davenport: Competing on Analytics: The New Science of Winning. A Cool Old Study » Adopting The No Asshole Rule: Dont Bother If The Words Are Hollow. Listed below are links to weblogs that reference Adopting The No Asshole Rule: Dont Bother If The Words Are Hollow : Comments. I'm just wondering who "polices" the rule if a company adopts it. Bob Sutton. About Subscribe to this blogs feed Email Me Follow Me @ work_matters. Book Me For A Speech.

The Horizon Report 2011

Jane Hart

The areas of emerging technology cited for 2011 are: Time to adoption: One Year or Less. Time to adoption: Two to Three Years. Time to adoption: Four to Five Years. Learning Analytics. Each year, the Horizon Report describes six areas of emerging technology that will have significant impact on higher education and creative expression over the next one to five years. Electronic Books. Mobiles. Augmented Reality. Game-based Learning. Gesture-based Computing.

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Ten IT Predictions for the Post-Pandemic New Normal

Irving Wladawsky-Berger

T hrough 2023, half of enterprises’ hybrid workforce, business automation, and other transformation efforts will be delayed or will fail due to a shortage of IT and analytics talent with the right skills.

The Current State of Cloud Computing

Irving Wladawsky-Berger

What’s the current state of cloud computing? “The need for superior speed and agility continues to push companies toward cloud adoption,” said a recent McKinsey article, Debunking seven common myths about cloud.

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The Evolving Role of the CIO

Irving Wladawsky-Berger

High proportions of CIOs, for example, are focused on artificial intelligence (AI) and advanced analytics, moving to the cloud, and architecture modernization. And many are exploiting the cloud, advanced analytics, and automation.

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Game Learning Analytcs for Evidence=Based Serious Games

Stephen Downes: Half an Hour

Summary of a talk by Baltasar Fernandex Manjon at CELDA 2019 ie.ft.com/uber-game Serious games - Have been used successfully in many domains – medicine, military - But low adoption in mainstream education - So we say we’re working in ‘game-like simulation’ [link] - Fake news, trolls, e-influencers [link] [link] [link] - Has been formally evaluated Citizen science - Uses games for crowdsourcing Also: - Educational versions of commercial games Do serious games actually work?

Cloud's Trillion Dollars 2030 Potential

Irving Wladawsky-Berger

Over the past year, a number of articles have pointed out that, in response to the pandemic, digital adoption by business and consumers has already reached levels that weren’t expected for many years. Adoption of emerging technologies. Adopt agile, cloud-native ways of working.

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AI Is Mostly About Business Value, Not Technology

Irving Wladawsky-Berger

A few months ago, Babson College professor Tom Davenport convened a virtual meeting of chief data and analytic officers (CDAO) from a variety of industries to discuss how to best achieve a return on investments (ROI) in AI. “We

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

Irving Wladawsky-Berger

Two-thirds of the opportunities to use AI are in improving the performance of existing analytical use cases,” is the paper’s overriding finding. For the vast majority of the use cases, 69%, the key value of machine learning is to improve performance beyond that provided by traditional analytic techniques. And, in the remaining 15% of cases, machine learning provided limited additional performance over existing analytical methods. .

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

Irving Wladawsky-Berger

Two-thirds of the opportunities to use AI are in improving the performance of existing analytical use cases,” is the paper’s overriding finding. For the vast majority of the use cases, 69%, the key value of machine learning is to improve performance beyond that provided by traditional analytic techniques. And, in the remaining 15% of cases, machine learning provided limited additional performance over existing analytical methods. .

Moving from openness advocacy to research

George Siemens

Openness in education – including content, teaching, pedagogy, analytics, or any other flavours – is a 15+ year trend that is starting to cross over into the main stream. OER align better with faculty’s top adoption priorities than traditional materials do, and the majority of current non-users will try OER between now and 2017. I’ve been thinking about this report and, if David is right about the scope of adoption, we have a serious issue.

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

George Siemens

Yesterday as I was traveling (with free wifi from the good folks at Norwegian Air, I might add), I caught this tweet from Jim Groom: @dkernohan @cogdog @mweller A worthwhile think piece for sure, almost up there with "China is My Analytics Co-Pilot" — Jim Groom (@jimgroom) May 11, 2016. The comment was in response to my previous post where I detailed my interest in understanding how learning analytics were progressing in Chinese education.

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Of people, roles and ritual (3 of 3)

Dave Snowden

One of the dangers of a lot of complexity practitioners is that they adopt is in the same fad cycle approach which the theory itself contradicts.

Revitalizing US Manufacturing

Irving Wladawsky-Berger

Advanced technologies, - including analytics, machine learning, robotics, Internet of Things, and 3D-printing, - touch on every aspect of manufacturing, from market research and product design to demand forecasting and after-sale services.

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. Big data ,- including analytics , data science , artificial intelligence and related information-based technologies - are now everywhere. “Is

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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.

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25-10-3

Harold Jarche

But when the committed minority reached 25%, there was an abrupt change in the group dynamic, and very quickly the majority of the population adopted the new norm … “And if they’re just below a tipping point, their efforts will fail. “The three percent rule to influence key influencers is an outcome of years of delving data captured through organizational network analysis and people analytics. ” — Analytics in HR.

Content as a Service

Xyleme

Tracking of use and analytics. This data set can be used to generate powerful analytic tools that can measure an individual’s strengths and weaknesses, and use this information to drive personalization. (In In future blog posts, I’ll elaborate on how analytics can drive personalization.). In conjunction with user tracking data and analytics, the delivery of the content can be personalized to the needs, habits, and preferences of the user.

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

Irving Wladawsky-Berger

asks McKinsey in a recently published report - Artificial Intelligence: the Next Digital Frontier. “AI adoption outside of the tech sector is at an early, often experimental stage,” is the report’s succinct answer. “Few firms have deployed it at scale.”. 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.

Spotting anomalies

Dave Snowden

I am still waiting for one of these theories to use as a case an organisation that adopted and practiced said theory but I doubt I will. Some of those with be data analytics but human sensors are also key.

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. To address these challenges, we have adopted/developed the following approaches. As such, we will be adopting an aggregation approach similar to what Stephen Downes pioneered with early MOOCs: gRSShopper. Adapting a course on learning analytics is more challenging as the problems are much less well-formed.

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What is stopping companies from measuring learning: Skillsets, datasets, toolsets or mindsets?

Xyleme

In one of our recent posts, " Why you need to take a Google Analytics approach to measuring learning ," we lay the foundation of our perspective regarding L&D''s constant battle for greater relevance in business strategy and planning. In short, learning and development organizations and departments are suffering from an analytics crisis. Accordingly, many business leaders adopt a perspective that places L&D expenses alongside product development, for example.

Reconnecting Society and Reopening the Economy

Irving Wladawsky-Berger

Instead, many national and state governments adopted two distinct sets of actions, the hammer and the dance. Their recent paper and accompanying supplementary material explains their models and analytical methods in great detail.

Recommendations for Good Practice Using AI in Learning

Stephen Downes: Half an Hour

Design for Bad Actors We’ve already seen cases where well-intentioned AI assistants have adopted patterns of objectionable behaviour, for example, Microsoft’s Tay bot. Some Resources Ethics, Analytics and the Duty of Care [link] FTC.

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

Irving Wladawsky-Berger

asks McKinsey in a recently published report - Artificial Intelligence: the Next Digital Frontier. “AI adoption outside of the tech sector is at an early, often experimental stage,” is the report’s succinct answer. “Few firms have deployed it at scale.”. 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.

My 25 Years of Ed Tech

Stephen Downes: Half an Hour

Diversity University started out as an educational MUD; Walden University was also an early adopter, and a whole bunch more. He finishes the section saying "personalized learning remains one of the dreams of ed tech, with learners enjoying a personalized curriculum, based on analytics."

Digital Learning Research Network (dLRN)

George Siemens

Increase the speed of the research cycle and adoption of effective practices with a particular emphasis on under-represented students. Build on existing research in learning sciences, online, blended, and distance learning, as well as data mining and learning analytics. Higher education is digitizing. All aspects of it, including administration, teaching/learning, and research.

Adios Ed Tech. Hola something else.

George Siemens

And then to learning analytics. Two of our NSF grants are focused on language and discourse analysis and using big data to explore roles that learners adopt in variously configured knowledge spaces (Wikipedia, Stack Overflow, and MOOCs). I’ve been involved in educational technology since the late 1990′s when I was at Red River College and involved in deploying the first laptop program in Canada.

Musings on Pelagianism, rules & agility

Dave Snowden

I remember designing this on one project where “ You are doing a Jason ” was a non-pejorative alternative to “ You are being an anally retentive over-analytical bastard ”. If I am honest about things I am probably guilty of Pelagianism in some form.

What is a Learning Content Management System (LCMS)?

Xyleme

Good Learning Content Management Systems will also have analytics so you can see data on how learners are interacting with your content, and some offer a single-source input, which allows you to create the content once then select which format you’d like to publish it in (HTML, PowerPoint, PDF, etc.). Whether you want to see analytics. How NOT to Adopt an LCMS. There’s a lot of confusion surrounding Learning Content Management Systems.

5 ways tech startups can disrupt education

George Siemens

Once an organization has settled into a revenue stream that provides some security, it’s almost impossible for that organization to adopt approaches that harm or cannibalize that revenue stream (Blockbuster and video rentals, Microsoft and Office). Extensively use learning analytics, preferably blurring physical and virtual interactions. Or, if learners prefer greater autonomy, more flexible paths can be adopted.

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.

Instructure: we know. we learn.

George Siemens

Young companies are often not that focused on listening because they have a vision that they feel others need to also adopt. They were looking at rolling out a new analytics platform and wanted to chat about the kinds of analytics approaches that might be valuable. We had a good conversation about the potential of analytics and the directions in which the field (if we can call it that) is moving.

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.