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. During these activities, it has become clear that policy and strategy considerations are hindering the adoption and deployment of LA.

Social Physics - Reinventing Analytics to Better Predict Human Behaviors

Irving Wladawsky-Berger

These social physics patterns have been tested across a variety of applications involving people, including strategy formulation in business, economic activity in cities, and, - working with an intelligence agency, - the detection of potential terrorist activity based on Twitter data.

New MOOC: Data, Analytics, & Learning

George Siemens

This fall, together with colleagues, I’ll be offering an open course on edX: Data, Analytics, and Learning. From the description: In education, the use of data and analytics to improve learning is referred to as learning analytics. Analytics have not yet made the impact on education that they have made in other fields. The era of data and analytics in learning is just beginning.

The Promise and Challenges of Health Analytics

Irving Wladawsky-Berger

On February 24 I attended a workshop in MIT on the Future of Health Analytics. In a recent paper , Ausiello notes that health analytics has the potential to become the next frontier in medicine, driven by the confluence of three key revolutions: .

Open Learning Analytics: A proposal

George Siemens

Learning analytics are increasingly relevant, and prominent, in education. Startups and established software vendors are targeting learning analytics in their product offerings for the education and training and development sector.

The Challenges of Executing a Transformational Strategy

Irving Wladawsky-Berger

This year’s Symposium will be focused on the challenges of executing a digital transformation strategy. It’s no longer enough to have formulated a digital strategy for the business. After working on it for several months, the strategy began to emerge.

The Competitive Value of Data: From Analytics to Machine Learning

Irving Wladawsky-Berger

Business analytics predates the big data era. Beyond business analytics, new data science methods could now be used to extract actionable knowledge from all that data, that is, knowledge to help make better decisions and predictions.

The Transformative Power of Analytics - The Houston Astros: a Case Study

Irving Wladawsky-Berger

The answer, in a nutshell, is analytics. Luhnow then brought his analytics and management skills to Houston and proceeded to transform the team into a top contender in a short few years. For certain elements of the analytics, we had to wait and be patient.

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.

The Transformative Power of Analytics - The Houston Astros: a Case Study

Irving Wladawsky-Berger

The answer, in a nutshell, is analytics. As VP of scouting and player development in St Louis, Luhnow built a strong analytics department and enjoyed great success as one of the top talent producers in baseball, helping the Cardinals win the 2011 World Series as well as reach the playoffs from 2012 to 2015. Luhnow then brought his analytics and management skills to Houston and proceeded to transform the team into a top contender in a short few years.

The Challenges of Executing a Transformational Strategy

Irving Wladawsky-Berger

This year’s Symposium will be focused on the challenges of executing a digital transformation strategy. It’s no longer enough to have formulated a digital strategy for the business. And, having a strong digital foundation gives those companies a leg up in embracing data analytics , AI , blockchain , and other advanced technologies, further widening their advantage. “The time for merely thinking digital has passed; the future belongs to the doers,” notes the Symposium’s website.

Education Technology Strategies - Day One

Stephen Downes: Half an Hour

Blogging Strategies

Clark Quinn

There's a bit in there on blogging strategies, but the reality is that when I go back and look at my previous posts on what your personal strategy should be around blogging, I'm not finding that much. And one of the course members raised a really interesting question in the Forum around blogging strategies: Matthew, how has blogging changed the way you think? I have people that follow my blog; I know this from both statcounter and google analytics.

The top 10 opportunity costs for single source content strategy

Xyleme

When you think about your company''s digital learning content strategy, what''s the first thing that comes to mind? Business leaders receive meaningful and actionable learning analytics.

Cost 204

Three Analytics Tools to Gauge Your Social Audience’s Pulse

Beth Kanter

We talk about finding the right tool for the data collection job and tools come in three different categories: analytics tools, content analysis, and surveys. Analytics tools like the ones described below are good for measuring actions and engagement.

What Social Media Analytics Can’t Tell You About Your Audience

Beth Kanter

What is important is that when you look solely at your social media analytics – say for example what content gets the most views or engagement, the data represents only one part of your audience.

Please Vote for SXSW 2014 Panel: What Social Media Analytics Can’t Tell You

Beth Kanter

What Social Media Analytics Can’t Tell You. Here’s the description: Social media analytics can help you understand the active members of your social media audience, but what about the people who aren’t posting? That’s the title of my proposed panel for SXSW 2014.

Successful Social Media Content Strategy Is A Continuous Improvement for Nonprofits

Beth Kanter

It integrates with your social media channels and allows you pre-schedule your message, it integrates with your analytics tools so you can view your metrics, and it even connects with Google Calendar and Evernote and others.

Source Codes: The Most Useful Measurement Strategy You May Not Be Using

Beth Kanter

Source Codes: The Most Useful Measurement Strategy You May Not Be Using – Guest Post by Laura Quinn. If you want more power, check out the Google URL Builder: https://support.google.com/analytics/answer/1033867?hl=en.

Two Free E-Books for Nonprofits on Fundraising, Marketing, and Content Strategies

Beth Kanter

Improving Direct Marketing Response with Online Advertising by Richard Becker, President of Target Analytics. E-Book #1: Fundraising and Marketing Tips for Nonprofits.

How To Use Negative Feedback on Facebook To Improve Your Content Strategy

Beth Kanter

I’m sure there are other analytics programs that will automatic the data jujitsu for you. Flickr Photo by Damian Devilla. Facebook recently made a change to the EdgeRank Algorithm that increased the importance of Negative Feedback.

Strategy & Business Lists Hard Facts Among Decade's 10 Most.

Bob Sutton

interview Pixar Brad Bird - Innovation lessons from Pixar Director Brad Bird - Strategy - Innovation - The McKinsey Quarterly. Why Managing by Facts Works: Strategy+Business. Converting Strategy Into Action. Pankaj Ghemawat: Redefining Global Strategy: Crossing Borders in a World Where Differences Still Matter. May: The Shibumi Strategy: A Powerful Way to Create Meaningful Change. Phillips: Lincoln on Leadership: Executive Strategies for Tough Times.

List 61

George Siemens #iel12 Keynote Mindmap

Clark Quinn

George Siemens delivered an enlightening talk contextualizing analytics, tying the need for more effective coupling in decision making with new types of data. meta-learning strategy

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.

Matt May's Shibumi Strategy: What a Lovely Book! - Bob Sutton

Bob Sutton

interview Pixar Brad Bird - Innovation lessons from Pixar Director Brad Bird - Strategy - Innovation - The McKinsey Quarterly. Why Managing by Facts Works: Strategy+Business. Converting Strategy Into Action. Pankaj Ghemawat: Redefining Global Strategy: Crossing Borders in a World Where Differences Still Matter. May: The Shibumi Strategy: A Powerful Way to Create Meaningful Change. Phillips: Lincoln on Leadership: Executive Strategies for Tough Times.

How to Support the Widespread Adoption of AI

Irving Wladawsky-Berger

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.

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.

Data 205

Social Physics and Cybercrime Detection

Irving Wladawsky-Berger

These patterns can be used to detect emerging behavioral trends before they can be observed by other data analytics techniques. Endor’s analytics engine identified 80 Twitter accounts as potential EOIs because they were similar enough to the positive samples that the agency provided.

Data 196

Globalization in Transition

Irving Wladawsky-Berger

Global operation strategies. Given these major shifts in value chains, McKinsey recommends that companies reevaluate their global operation strategies.

Cost 198

The Business Value of Resilience

Irving Wladawsky-Berger

In a fast changing, unpredictable economy, companies face a growing number of potential disruptions to their best laid strategies, including technology advances, global competition, and turbulent markets.

Price 199

Decision Making in Our Increasingly Complex Organizations

Irving Wladawsky-Berger

Overall, only 41% of respondents said that their organizations’ decisions align with corporate strategy and in support of high value projects. Complex Systems Economic Issues Management and Leadership Society and Culture Technology and Strategy

The Emergence of Industry 4.0

Irving Wladawsky-Berger

The digitization of product and service offerings by adding smart sensors, communication devices, and data analytics tools to create smart digital products and smart services. Data analytics and digital trust are the foundations. “Data fuels Industry 4.0

Beyond Machine Learning: Capturing Cause-and-Effect Relationships

Irving Wladawsky-Berger

Machine learning is a statistical modelling technique, like data mining and business analytics , which finds and correlates patterns between inputs and outputs without necessarily capturing their cause-and-effect relationships.

Data 210

Competing Against “Digital Invaders”

Irving Wladawsky-Berger

After analyzing the survey data, - including the use of Watson Analytics to extract inferences from open-ended responses, - IBM published its findings in Redefining Boundaries: Insights from the Global C-suite Study.

A Framework for Building AI Capabilities

Irving Wladawsky-Berger

The paper includes a four-step framework to help companies develop and implement their cognitive strategies: Understanding the Technologies. Artificial Intelligence Complex Systems Data Science and Big Data Innovation Management and Leadership Smart Systems Technology and Strategy

Data 207

Deep Learning: Is it Approaching a Wall?

Irving Wladawsky-Berger

The data requirements for deep learning are substantially different from those of other analytic methods in a number of dimensions. The performance of traditional analytics tends to plateau as the data set size increases.

The Jobs Outlook for 2022

Irving Wladawsky-Berger

The report is based on a survey of over 300 chief human resource officers and top strategy executives from large global companies across 12 industry sectors. Surveyed companies highlighted three main strategies to manage their skills gaps.

Survey 178

Can AI Help Translate Technological Advances into Strategic Advantage?

Irving Wladawsky-Berger

A recent Harvard Business Review article, - Designing the Machines that Will Design Strategy , - takes these questions a few steps further. Within this integrated strategy machine, people and technology must closely collaborate, with each playing the particular role they are best at.

Learning to Apply Data Science to Business Problems

Irving Wladawsky-Berger

This past semester I was involved in an interesting course at MIT’s Sloan School of Management , - Analytics Labs (A-Lab). A-Lab’s objective is to teach students how to use data sets and analytics to address real-world business problems.

Data 207

What Machine Learning Can and Cannot Do

Irving Wladawsky-Berger

One of the key features of deep learning algorithms is that, unlike classic analytic methods, there’s no asymptotic data size limit beyond which they stop improving. Artificial intelligence is rapidly becoming one of the most important technologies of our era.

Data 207

Is Design Thinking the “New Liberal Arts”?

Irving Wladawsky-Berger

Design thinking is now being applied to abstract entities, - e.g. systems, services, information and organizations, - as well as to devise strategies, manage change and solve complex problems. Design thinking has become an increasingly popular topic of discussion over the past decade.

Design 278

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.”. AI is now seemingly everywhere.

Data 221

Organizing Big Data Initiatives: Lessons from the Internet

Irving Wladawsky-Berger

my fellow guest columnist Tom Davenport reflected on whether institutions should appoint a dedicated executive to oversee their company-wide big data and analytics initiatives, and if so, which C-level senior executives should such a position report to.

Data 211