How to Support the Widespread Adoption of AI

Irving Wladawsky-Berger

The advent of PCs in the 1980s then made it possible to apply IT to front-office processes and applications, such as word processing in office systems, spreadsheets in data analysis, and customer support.

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

Irving Wladawsky-Berger

In the past few years, the necessary ingredients have come together to propel AI beyond the research labs into the marketplace: powerful, inexpensive computer technologies; advanced algorithms and models; and most important, oceans and oceans of data. AI is now seemingly everywhere.

Data 222

Human + Machine: The Impact of AI on Business Transformation

Irving Wladawsky-Berger

Mainframes and data processing software enabled the automation of back-office processes in the 1960s and 1970s. This is quite different from using technology to automate specific tasks in a job or workflow. Data. AI requires extensive volumes and variety of data.

Data 187

Skills and Jobs in the Digital Economy

Irving Wladawsky-Berger

The modern digital revolution - with its hallmarks of computer power, connectivity and data ubiquity - has brought iPhones and the internet.” Workflow and collaboration tools improve coordination and knowledge sharing among workers.

Skills 273

Human + Machine: The Impact of AI on Business Transformation

Irving Wladawsky-Berger

Mainframes and data processing software enabled the automation of back-office processes in the 1960s and 1970s. This third era, which builds on the previous two, will be more dramatic than the earlier revolutions enabled by assembly lines and digital computers, and will usher in entirely new, innovative ways of doing business… This adaptive capability is being driven by real-time data rather than by an a priori sequence of steps. Data.

Everyday People Are Heroes: Using Big Data to Engage New Agents of Change Online

Beth Kanter

Note from Beth: I was lucky enough to get an advanced copy of Data Driven Nonprofits by Steve Maclaughlin (launching Sept. 6th so stay tuned) and so data and nonprofits has been on my brain. Photo by CogdogBlog.

Data 81

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

Irving Wladawsky-Berger

In the past few years, the necessary ingredients have come together to propel AI beyond the research labs into the marketplace: powerful, inexpensive computer technologies; advanced algorithms and models; and most important, oceans and oceans of data. AI’s dependence on a digital foundation and the fact that it often must be trained on unique data mean that there are no shortcuts for firms. AI is now seemingly everywhere.

The Knowledge and Learning Transfer Problem

Charles Jennings

We can share information in the form of data and our own insights. Especially as most organisations have an often large and continuing investment in formal training and development, the vast majority of which is carried out away from the workflow.

Harvard Library adopts LibraryCloud

David Weinberger

Internal to Harvard Library, it’s a metadata hub that lets lots of different data inputs be normalized, enriched, and distributed. As those inputs change, you can change LibraryCloud’s workflow process once, and all the apps and services that depend upon those data can continue to work without making any changes. That’s because LibraryCloud makes the data that’s been input available through an API which provides a stable interface to that data. (I

Building a Culture of Continuous Learning

Charles Jennings

In a recent webinar I discussed some very interesting data from the Corporate Leadership Council’s ‘Training Effectiveness Dashboard’ study with participants. By supporting learning within the workflow, and through and with others, the culture of learning will evolve – I’ve seen it happen

Start with the 70. Plan for the 100.

Charles Jennings

Extending Learning into the Workflow Many Learning & Development leaders are using the 70:20:10 model to help them re-position their focus for building and supporting performance across their organisations. They are finding it helps them extend the focus on learning out into the workflow.

SUNY Initiatives Supporting Online Learning Panel

Stephen Downes: Half an Hour

Demonstration of lead processing workflow - feeds into existing 'Campus Connect' online lead system for individual campuses). Campuses reported they wanted faster process time, and they wanted the raw data instead of pre-designed format.

70:20:10 – Above All Else It’s a Change Agent

Charles Jennings

That’s the key to the 70:20:10 model, and there’s an increasing body of data in support of this. What we should be doing is putting our effort into supporting and refining learning where it’s already happening, and this is predominantly as part of the daily workflow.

Change 272

It’s Only 65% !

Charles Jennings

I don’t want this post to be a criticism of an individual survey design, but I do think that the designers of data-gathering surveys such as these need to think about the terminology they use carefully. The results of yet another 70:20:10 survey were published recently.

Survey 236

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.

Design Thinking and the Workplace Experience

Irving Wladawsky-Berger

As the authors argue, design principles should be applied within the management domain itself, to help rethink business processes, workflows and the overall structure of the organization and thus create what it calls a New Workplace Experience (NWX).

Design 274

The Only Person Who Behaves Sensibly Is My Tailor

Charles Jennings

However extrapolating the context and outcomes to make any sense of this type of data requires a series of further steps that are orders of magnitude along the path to providing meaningful insight. So why is there an obsession to gather this data? Some data may be readily available.

From Courses to Campaigns : using the 70:20:10 approach

Charles Jennings

It trains people to provide the most superficial response to problems, over and over again getting the data in a nice, neat, packaged form and then making decisions on that basis.

Course 219

Little Whinging

Clark Quinn

It can be an account number, or just to confirm some data like my house number. This is all good up until the point when I get connected to a live person, and they then ask me for that same data. And get asked for the same data again.

What Does the Training Department Do When Training Doesn’t Work?

Charles Jennings

Data provided by the US membership organisation Training Industry suggests annual growth around 6% per year since 2009. Learning in the workflow is the way forward. The global training industry is large and in growth again post-2008.

LMS vs. LCMS

Xyleme

Workflow management/review tool. Workflow Management/Review Tool. ?. Custom Reports / Data Export to BI tools. •. ?. LMS vs. LCMS: What is the difference and why does it matter? LMS vs. LCMS?

Designing E-Learning 3.0 in gRSShopper - 12

Stephen Downes: Half an Hour

TL:DR here's the badging workflow: Create a Badgr account. POST, PUT, GET), SSL certificates, authorization, etc.) - The Data - this is data that accompanies the request. If you fill out a form on a web page, the form contents will be sent as data to the web server. -

Design 158

Managing Learning?

Charles Jennings

Keeping the CEO out of Jail In his article Donald quotes Andy Wooler, Academy Technology Manager at Hitachi Data Systems Academy, as saying: “LMS too often stands for Litigation Mitigation Service.” Donald Taylor recently published an article titled ‘ What does ‘LMS’ mean today ?’.

PKM 225

What’s the next buzzword?

Clark Quinn

And we’ve had someone recently claim to have invented workflow learning (though it’s been talked about for years ). Also Analytics (I think Big Data is already in the last paragraph’s category). I was perusing an old list of potential column topics, and came across one that asked about MOOCs. Now, you probably recognize that the term is pretty much evaporated from any list of top L&D concerns.

What is innovation?

Harold Jarche

And here at Spigit, we’ve got hundreds of data sets to look through.”. Visualize the workflow of a physical job: produce, produce, produce, produce, produce, produce, produce, produce, produce.

Making it Real

Adaptive Path

We used our Small Objects Kit to build miniature retail experience prototypes to improve communication, workflow, and engagement for staff and customers. Feedback and data gathered included, but was not limited to, proportions, relationships to space and the human body with emotional response.

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

Charles Jennings

Survey 235

Designing E-Learning 3.0 in gRSShopper - 13

Stephen Downes: Half an Hour

Workflow The next step in the use of badges is to develop a mechanism for awarding them. I'd like to automate this as much as possible, but this means having a workflow so that I know what I'm automating. So that's the badging workflow.

Design 172

Determinism, Best Practice, and the ‘Training Solution’

Charles Jennings

Cynefin is a sense-making model – where patterns emerge from the information and data – that explains how to respond to ordered and disordered systems. Both of these data points tell us that something is broken.

The Need to Adapt to the Speed of Change or Die: lessons for L&D from the retail industry

Charles Jennings

Especially if they can gain that knowledge and expertise more easily and without leaving their desk or workflow. Yesterday another great British institution slid into the history books. HMV opened its first retail shop in Oxford Street, London in 1921 with great brouhaha.

Learning Trends 2014

Xyleme

You need an integrated authoring, workflow and publishing environment, not simply a collection of tools or a framework that allows a developer to produce "HTML5" templates. It''s a whole new way of tracking learning data and thinking about how to correlate it to real world business problems.

Trends 186

AWOSS-2011-1

Stephen Downes: Half an Hour

It’s a data infrastructure, a lot like a communication infrastructure. But then there’s next phase, which is a ‘pull’ of the data. are more pull, in the sense that we go out and find the data we need. The logic is in the data.

Friday’s Finds #19

Harold Jarche

Teens don’t look beyond the first 6 search results (& other interesting data points) No More Teachers, No More Books: The Social Student Comes of Age via @gfbertini. Enterprise 2.0 : instead of workflow, think flowing work.

The Driving Test: the canary in the mine for formal training?

Charles Jennings

The China Daily article reported (on the basis of data obtained from the Ministry for Public Scrutiny) that China now has more than 300 million drivers, the highest in the world.

Working in the dark

Harold Jarche

He redesigned an advertising agency’s workflow, identifying the main choke points - four “big meetings” where one of the “owners” had to be present - and then made the workflow visible so anybody could see what was happening. I discuss transparency a lot on this blog.

Changing Role of the LMS

Xyleme

I have worked with an LMS bundled by a major ERP system provider which had, by far, the most unintuitive interface and user workflows I have ever had the misfortune to encounter. They record data that has little meaning. Joining up competencies and performance data with learning opportunities. But it does depend on one key thing – the competency and performance data must be accurate, consistent and up-to-date for the system to work effectively.

Change 189

AWOSS-2011-2

Stephen Downes: Half an Hour

We create a workflow model. CP Workflow Model Ontology (CWMO) – developed to describe workflows. Data flows from one process to another; OWL-S bindings are used to capture data flow. Third Atlantic Workshop on Semantics and Services - blog summary - part 2.

training > performance > social

Harold Jarche

It can’t be managed and controlled in the way discrete training and learning injections into the workflow can be. most of the learning processes are opaque to HR and L&D and can only be made explicit through observation and other field survey and data collection approaches.”

Transparency: embrace it

Harold Jarche

He redesigned an advertising agency’s workflow, identifying the main choke points, four “big meetings&# where one of the “owners&# had to be present , and then made the workflow visible so anybody could see what was happening. The owners didn’t want a transparent workflow to show they were the cause of the problem. More and more, workers know where the problems are because they have access to the data. How do you make work more effective?

Real learning – let’s not confuse it with completing templated exercises

Charles Jennings

Compliance training is primarily about recording activity and gathering data that can be provided to regulatory or professional bodies or kept for a rainy day. LMS has certainly done the trick for gathering compliance data.

2012: That was the year that was

Jane Hart

In this blog post, I shared the data from my survey, some of my thoughts about the results, and the importance of undertaking your own survey. In the first of two reviews of 2012, here are the 10 most popular posts on my own blog this year – based on viewing stats, tweets and FB likes.

Survey 220

Open Science Essentials: Reproducibility

Mind Hacks

Let’s define it this way: reproducibility is when your experiment or data analysis can be reliably repeated. It isn’t replicability , which we can define as reproducing an experiment and subsequent analysis and getting qualitatively similar results with the new data. You’d think that with the same data, another person – or even you in the future – would get the same results. Open data + code. Open science essentials in 2 minutes, part 3.

How Narrating Your Work Helps You Become More Effective by Saving Precious Time

Luis Suarez

Imagine if all of a sudden you stop attending meetings you are not supposed to, or reject those other ones where they are asking for your information and contribution when all of that data is readily available out there.