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.

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)? Organization was slow plodding for the first LAK conference.

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

The Rise of the T-Shaped Organization

Irving Wladawsky-Berger

The concept of T-shaped skills was first introduced over 20 years ago, but its importance, - to both individuals and organizations, - has continued to rise. The growing demand for T-shaped skills points to the rise of the T-shaped organization.

Solow Paradox 2.0: The Lagging Impact of Technology Advances on Productivity Growth

Irving Wladawsky-Berger

Our aging economies are thus dependent on productivity gains to drive long-term economic growth , future prosperity and higher standards of living. Their average productivity growth in the 5 years between 2000 and 2004 was 2.4%. The waning of the mid-1990s productivity boom.

Bravais 3.0: Taking Learning Beyond the LMS to Analytics & Personalization


What should also come as no surprise is that corporate Learning & Development (L&D) organizations have been slow in responding to these changes, with over 80% of training still delivered in a formal manner via ILT, virtual and self-paced eLearning. Products Post Type: Blog post.

Analytics – The Usability Lab of the new decade

Adaptive Path

survey tools for straight-up surveys and concept evaluations public betas, previews, and opt-ins By picking a smart set of these tools, I think an organization can make smarter decisions throughout the design and development process in a live dialog with more users than a traditional usability lab ever could. The gist of the internal response was, “Analytics!&# We’ve known about analytics, multi-variant and A/B testing, and the like for over a decade.

Productivity tools for the networked workplace

Harold Jarche

All of the larger organizations have and use Sharepoint. These tools are ubiquitous in business and government, so I have agreed to write a few articles on how they can be used to improve work productivity. IT has to make us more productive, smarter.”.

Why you need to take a Google Analytics approach to measuring learning


Did you know that, according to Bersin, less than half of the L&D organizations they survey feel they are perceived by their stakeholder leadership as a strategic business partner? If L&D took a Google Analytics approach to learning, they could.

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 216

Digital Analytics Basics: Free Online Academy from Google

Beth Kanter

For many nonprofits, Google Analytics is the tool of choice for measuring traffic, reach, engagement, and action primarily because it is free. While it is somewhat easy to use, some of the more valuable features may require a little tutoring to understand and use.

Leveraging Commercial Best Practices to Maximize Government Productivity

Irving Wladawsky-Berger

On October 6, the Technology CEO Council released its report One Trillion Reasons: How Commercial Best Practices to Maximize Productivity Can Save Taxpayer Money and Enhance Government Services. By harnessing major technological shifts and adopting best business practices, we can not only make our government far more productive, but also foster greater innovation in areas ranging from healthcare to education and energy – innovation that will generate economic growth and job creation. “We

Implementing Lean Startup in Mission-Driven Organizations

Beth Kanter

The Lean method advocates for creating a Minimum Viable Product (MVP), testing it in small ways and building on what was learned to create something that really addresses audience needs and minimizes wasted effort and resources. Video streaming by Ustream.

Executive Education Workshop: Making the Entire Organization Agile

Steve Denning

Today’s white-water environment requires the entire organization to be agile. With the abrupt, unpredictable and simultaneous shifts in markets, customers, communications, technology, competitors, talent and regulatory frameworks, the entire organization must be nimble to survive, let alone prosper. In this three-day workshop ( May 21-23, 2012 in Washington DC ), you will find out how to accomplish the necessary paradigm shift in your organization.

What is your organization’s “One Metric That Matters”?

Beth Kanter

Two new books on measurement and analytics came to my attention this week. Hunter who shares his approach to working with top nonprofits organizations to embrace performance management. His work has sparked transformation for many of the country’s top nonprofit organizations.

Announcing Bravais 1.2!


Users that have both Xyleme LCMS and Bravais have a huge advantage- consolidated analytics. Furthermore, because Xyleme follows an Agile Development process, analytics will soon be enhanced with new features such as social comments and ratings on a continuous basis. Bravais 1.2

The State of AI Adoption - High Performers Show the Way

Irving Wladawsky-Berger

A common theme throughout the report was that the same players who were leaders in the earlier waves of digitization and analytics were the early leaders in the AI wave.

Social Business Forum Highlights – Highlights from Breakout Sessions and Final Keynote

Luis Suarez

Demand intuitive interfaces (Which surely confirmed how knowledge workers should never get tired of demanding for better quality products when interacting with social tools, on the contrary). Once again, I am on the road on to another business trip.

How to Support the Widespread Adoption of AI

Irving Wladawsky-Berger

“Artificial intelligence is reshaping business - though not at the blistering pace many assume,” notes Building the AI-Powered Organization , an article in Harvard Business Review by McKinsey partners Tim Fountaine , Brian McCarthy , and Tamim Saleh in its opening sentence.

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 211

The Emergence of Industry 4.0

Irving Wladawsky-Berger

The Second starting a century later, brought us steel, cars, chemicals, petroleum, electricity, the telephone and radio while creating the age of mass production. Data analytics and digital trust are the foundations. “Data fuels Industry 4.0

Can AI Help Develop and Execute a Competitive Business Strategy?

Irving Wladawsky-Berger

The growth will come from productivity gains, - e,g, the continuing automation of routine tasks, and AI-based tools to augment human capabilities, - and from increasingly sophisticated, AI-enhanced products, services, and system-wide applications.

Training Industry Names Xyleme as a Top Learning Portal/LMS Companies 2018 Company to Watch


In the last year, Xyleme introduced a new Learner-Portal as a part of their Content Distribution Service (CDS) product. This allows LMS users to access CDS content using their normal LMS, and get the benefits, including analytics, that CDS provides.

Two-Speed IT Architectures

Irving Wladawsky-Berger

I recently read an interesting McKinsey article, Organizing for digital acceleration: Making a two-speed IT operating model work. Align technology and production systems with business goals. . Focus on agile product development to enhance customer engagements. .

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.

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

Irving Wladawsky-Berger

Previous research has uncovered this puzzling digital adoption discrepancy between individuals and organizations. 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.

Doc Searls Weblog · Future to Newspapers: Jump in the river

Doc Searls

It happened hours ago, or last night, or yesterday, or last month, or before whenever the deadline was in the news organization’s current “news cycle&#. on this, Doc Searls says news organizations should “jump in the river&# : News is a river, not a lake.

News 219

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 232

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

Bob Sutton

Center for Work, Technology and Organization. James Adams: Good Products, Bad Products: Essential Elements to Achieving Superior Quality. Thomas Kelley: The Ten Faces of Innovation: IDEOs Strategies for Defeating the Devils Advocate and Driving Creativity Throughout Your Organization. Robert Hogan: Personality and the Fate of Organizations. Tim Brown: Change by Design: How Design Thinking Transforms Organizations and Inspires Innovation. Bob Sutton.

The Transformative Power of Cloud Computing

Irving Wladawsky-Berger

I was recently involved in two different meetings, each convened by an IT research organization focused on providing strategic advice to CIOs. My participation in each of the CIO meetings was in the form of a fireside chat with a senior analyst of the organization.

Data 256

As Big Data and AI Take Hold, What Will It Take to Be an Effective Executive?

Irving Wladawsky-Berger

Big data , powerful analytics and AI are everywhere. Many of these jobs, - which include blue-collar production activities as well as information-based white-collar ones, - are based on well understood procedures that can be described by a set of rules that machines can then follow. .

Data 274

Institutional Innovation - I Have a Dream

John Hagel

Scalable efficiency models drive success by tightly specifying every activity that needs to be done, standardizing those activities so they’re done the same efficient way everywhere in the organization and tightly integrating those activities. Leaders will focus on framing powerful questions that can inspire everyone in the organization (and outside). Organization: Shift from departments and hierarchies to workgroups and networks. Organizations will become “creation spaces.”.

The Challenges of Executing a Transformational Strategy

Irving Wladawsky-Berger

Why do so many organizations struggle to implement their well formulated strategies, especially transformational strategies like the transition to digital, that encompass new technologies, business models and management practices? The 2018 MIT CIO Symposium will take place on May 23.

The Emergence of Industry 4.0

Irving Wladawsky-Berger

Industrial revolutions are momentous events,” said A Strategist Guide to Industry 4.0 , - a 2016 article in strategy+business. “By most reckonings, there have been only three.” The First Industrial Revolution , - starting in the last third of the 18th century, - introduced new tools and manufacturing processes based on steam and water power, ushering the transition from hand-made goods to mechanized, machine-based production.

I Learned A Lot At My First-Ever F Up Nights

Dan Pontefract

As is the case with any company, growth can come organically or it can come through acquisition. Sales immediately increased by 30% of the raised bed garden products. They had no idea how much product was in their supply chain or how much was in customer locations, etc.

Can AI Help Translate Technological Advances into Strategic Advantage?

Irving Wladawsky-Berger

The IT industry has long been associated from what’s been called the Solow productivity paradox , in reference to Robert Solow's 1987 quip: “You can see the computer age everywhere but in the productivity statistics.

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


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.

Instructure: we know. we learn.

George Siemens

It took me about two hours to setup and organize my first course in the platform. The last time I’ve had a similar productive return on ability to do stuff with a new tool, with only limited time investment, was my first iphone.

The Business Value of Resilience

Irving Wladawsky-Berger

The Industrial Revolution was “as much about process innovations that reduced waste and increased productivity as it was about the application of new technologies,” wrote Roger Martin in a recent Harvard Business Review (HBR) article, - The High Price of Efficiency.

Price 209

Mindset and Heartset

John Hagel

I recently attended a gathering of senior executives seeking to drive change in their organizations and was struck by how much mindset dominated the conversation. It was all about the assumptions and beliefs of the people in their organizations. In these cultures, the belief is that if you have the right data and perform the right analytics you can deliver whatever is needed. Is mindset all there is?

The Evolution Toward Digital Supply Chains

Irving Wladawsky-Berger

The meeting was organized by the Center for Global Enterprise (CGE), - the nonprofit research institution founded by former IBM Chairman and CEO Sam Palmisano to study the contemporary corporation, globalization, economic trends, and their impact on society.

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 222

Big Data: Running out of Metric System…

Andy McAfee

The first is the great thirst mainstream organizations have for analytic talent. – its products could work with. I recently came across two very different pieces of evidence showing how big a deal big data is.

Reflections on Linux and Mainframes

Irving Wladawsky-Berger

After three month, the study strongly recommended that IBM embrace Linux across all its product lines, that it should partner with the Linux community and contribute to its development, and that it should establish a company-wide organization to coordinate its various Linux activities. .