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.”

Ten IT Predictions for the Post-Pandemic New Normal

Irving Wladawsky-Berger

Hence applications that enable real-time collaboration across all environments are critical to its effectiveness and success… The result will be a more collaborative, informed, and productive workforce.”.


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Cloud's Trillion Dollars 2030 Potential

Irving Wladawsky-Berger

Not only have they reduced their overall spending on IT infrastructure, but they’ve also increased their development productivity through the use of agile capabilities, self-service workflows and automation tools. Accelerated product development.

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The AI Factory: A New Kind of Digital Operating Model

Irving Wladawsky-Berger

Scale, scope, and learning are generally considered the key drivers of a firm’s performance, helping them achieve higher levels of production and lower units costs.

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How to Support the Widespread Adoption of AI

Irving Wladawsky-Berger

But during this period of rapid IT growth, US labor productivity grew at only 1.5% You can see the computer age everywhere but in the productivity statistics,” said MIT Nobel Prize laureate economist Robert Solow in 1987, in what’s become known as the Solow productivity paradox. Having business and operational people work side by side with analytics experts will ensure that initiatives address broad organizational priorities, not just isolated business issues.

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

Irving Wladawsky-Berger

A successful program requires firms to address many elements of a digital and analytics transformation: identify the business case, set up the right data ecosystem, build or buy appropriate AI tools, and adapt workflow processes, capabilities, and culture.”. A common theme throughout the report is that the same players who were leaders in the earlier waves of digitization and analytics are now leading in the AI wave. AI is now seemingly everywhere.

Four Ways User-Generated Content (UGC) Can Make its Way into.


Moreover, it’s crucial that we focus on ways for UGC to make its way into formal content development processes and leverage this rich source of information to create better learning products, drive new instructional design models, and most importantly, increase the richness and instructional value of learning content. For example, at Xyleme the “Frequently Asked Questions” section of our user guide comes primarily from our product SMN. Home About Podcasts Videos Xyleme Inc.

How to Transform a “Big, Old” Company into an Agile Digital Business

Irving Wladawsky-Berger

Many of these established companies have already deployed mobile apps, cloud computing and data analytics, and have brought to market a variety of digital products and services. Digital success requires delivering new customer value propositions that anticipate and solve customer problems, rather than just selling them a portfolio of product and services, - no matter how beloved or essential those offerings might be.

Skills and Jobs in the Digital Economy

Irving Wladawsky-Berger

The digital revolution has yet to fulfil its promise of higher productivity and better jobs,” said The Economist in a special report on Technology and the World Economy in its October 4th issue. “The The period from 2006 to 2014 saw the advent of several major digital innovations , including smart mobile devices, social media, big data and analytics, cloud computing and the Internet of Things. Computerized systems are making workers, from call centers to factories, more productive.

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Design Elements in a Personal Learning Environment

Stephen Downes: Half an Hour

The program draws on NRC''s research in other fields, such as machine learning and analytics. NRC''s track record in this sector includes the leadership role it played in the eduSource network of learning object repositories, the Sifter/Filter content recommender later commercialized as Racofi, sentiment analysis in learning, the Synergic3 collaborative workflow system, and more.

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Increasing “Jointness” and Reducing Duplication in DoD Intelligence

Martijn Linssen

While modest gains have been made in breaking down “stovepipes,” the initial energy of these “collaborative” efforts has waned and increased spending has largely cemented bad habits: siloed analytic reporting that fuels massive duplication of effort. The underlying assumptions regarding the prevailing finished intelligence workflow have not been questioned. In fact, much of Intellipedia’s “success” is rooted in transforming non-analytic work.

Learning and Development Webinars


Moving from a traditional training strategy to one that embeds learning in the daily workflow is challenging enough. Michael Bleyhl, VP, Product Technology of The Princeton Review discusses their unique business challenges, solution design, key integration strategies as well as his vision for the future of personalized online learning. The Google Analytics Approach to Measuring Learning Allowing You to Move at the Speed of Business.

The Best of Times, The Worst of Times: opportunities and challenges for the L&D profession

Charles Jennings

“It was the best of times, it was the worst of times, it was the age of wisdom, it was the age of foolishness, it was the epoch of belief, it was the epoch of incredulity, it was the season of light, it was the season of darkness, it was the spring of hope, it was the winter of despair, we had everything before us, we had nothing before us, we were all going direct to Heaven, we were all going direct the other way.”

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Determinism, Best Practice, and the ‘Training Solution’

Charles Jennings

Where good practice can be defined, training and development may also help by building better analytical capability and judgement. Engage for Success’ , a UK Government-supported panel, estimates that the UK’s employee engagement deficit in 2012 to be costing £26bn in productivity each year. We need to help our leaders, managers and workers to better exploit the learning opportunities in their daily workflow.

ROI and Metrics in eLearning

Tony Karrer

In this article, Clive Shepherd argues the case for return on investment (ROI) as a ROI from Workflow-Based E-Learning Business process management (BPM), workflow management, business activity monitoring (BAM), and workforce optimization software also are designed to reduce lag time. BPM and workflow technologies have been able to achieve significant gains in productivity Metrics Recently, functional managers have begun using eLearning to meet business objectives.

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Top 10 eLearning Predictions 2011 #LCBQ

Tony Karrer

Learning Analytics 6. Analytics will be the buzzphrase of the year. iPad Cornerstone OnDemand Plateau Saba Augmented Reality Cloud Computing Analytics Mobile Learning GeoLearning Performance Support Outsource Low Cost iPhone Learning Theory Creative Commons Facebook Portal Leadership eLearning Strategy Knowledge Management Voiceover Obviously, the Cornerstone OnDemand is because of the IPO. Production of content into eLearning is becoming much more of a commodity.

Beyond Institutions Personal Learning in a Networked World

Stephen Downes: Half an Hour

We''re told there will be analytics and data-driven management. Figure 1 - workflow process employed to assist LMS selection This model of accountability and cost frameworks and all of that will solve all the problems that the current system has. Here''s a model (Figure 1) of a workflow-processed employee to assist LMS selection. Learning needs to be an exploration and a discovery, not the output of predefined, standardized products.