The AI Factory: A New Kind of Digital Operating Model

Irving Wladawsky-Berger

Rather than just relying on traditional business processes operated by its workers, these firms are leveraging software and data-driven algorithms to eliminate traditional constraints and transform the rules of competition.

Data 165

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. Diverse teams can also think through the operational changes new applications may require - they’re likelier to recognize, say, that the introduction of an algorithm that predicts maintenance needs should be accompanied by an overhaul of maintenance workflows.”.

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

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.

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.

Data 148

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.” The paper analyzed the changes between 2006 and 2014 in the skill composition of 674 occupations using the US Government’s O*NET data base, - the most comprehensive data sets of occupational skill requirements. Workflow and collaboration tools improve coordination and knowledge sharing among workers.

Skills 212

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.

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.

Re-thinking Workplace Learning: extracting rather than adding

Charles Jennings

One clear finding presented was that: “t hose activities that are integrated into manager and employee workflow have the largest impact on employee performance, while those that are distinct events separate from the day-to-day job have less impact.” The general finding is that the more tightly bound learning is to the workflow, the greater the impact it is likely to have.

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. Everyday People Are Heroes: Using Big Data to Engage New Agents of Change Online Guest Post by Cheryl Contee. can help organizations can conduct big data-enabled social listening and identify key everyday people in their audiences that will help drive engagement in dramatic directions.

The Knowledge and Learning Transfer Problem

Charles Jennings

We can share information in the form of data and our own insights. If we package up the acquired data, information and practices in one organisation it’s extremely unlikely that they can be simply unpacked and used as-is with the same effect in another, no matter how closely aligned the organisations might be. During a meeting at Cambridge University around 30 years ago I was thoroughly chastised by a Cambridge academic.

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. To achieve these three targets, we need to think out of the traditional learning and development box – beyond the class/course and eLearning module approaches towards embedding a culture where learning becomes recognised as occurring within the workflow. Most people get it.

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. The first version of the tool will not auto-populate course information, won't scrub addresses, won't have an SIS data stream. Live notes from the SUNY OpenCOTE Conterence, Syracuse, NY.

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? While sometimes thought to be interchangeable terms, LMS (Learning Management System) and LCMS (Learning Content Management System) platforms share a few functionalities, but couldn’t be more different.

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. As you move from the 10 and closer to the workflow (where most of the 20 and 70 happen) the potential for impact and realised value increases.

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. core competencies, disciplined enterprise processes, master data structures) from those elements of the business that are expected to change regularly (e.g.,

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). They were focused on process and workflow optimization rather than on employee’s journeys and experiences. . Design the employee experiences, not just workflows and tools.

Design 213

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.

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 153

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. Good use of 70:20:10 results in increased focus on supporting effective learning and development within the daily workflow, naturally and at the speed of business – or preferably faster than the speed of business.

Change 209

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. Heck, I can help if you want assistance in figuring this out, and baking it into your workflows. (I Every once in a while , I have had enough of some things, and want to point them out.

It’s Only 65% !

Charles Jennings

The numbers are a useful reminder that the majority of learning occurs through experience and practice within the workflow (the ‘70’), through sharing and supporting others, conversations and networks (the ‘20’), and that a smaller amount of overall learning occurs through structured training and development activities (the ‘10’). The results of yet another 70:20:10 survey were published recently.

Survey 182

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

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. Having recently returned from Learning Technologies in London, I have a few new reflections about what''s "trending" in the L&D world.

Trends 143

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.

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. As a result of software eating the world , physical products and environments are smart and connected.

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 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. A ‘learning activity is not necessarily an indicator of learning’ tag should be attached to every piece of this data. To take an example from the ATD data, the annual report itemises ‘hours per year on ‘learning’ (which means ‘hours per year on training).

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. In her article Jane Hart also hits on one of the major change factors necessary to enable the objective of extending learning beyond the course and into daily workflow – the right mindset.

Course 168

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. Now visualize the workflow of a creative knowledge worker: nothing, nothing, nothing, nothing, flash of brilliance, nothing, nothing, nothing.”. — In writing almost 100 posts on innovation since 2007, it’s time to put the core observations together into a cohesive narrative.

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.

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. ASTD data suggests US companies spent $164billion on employee learning and development in 2012 saying that ‘ despite a continuously changing economic environment, organizations remain committed to training and development’. Learning in the workflow is the way forward. The global training industry is large and in growth again post-2008.

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?

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. We've already done the first three steps of this workflow, and they are basically one-time per course. So that's the badging workflow. This is something that can generate a lot of labour in a hurry (9 modules times 10 people means 90 badges issued.).

Design 129

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 ?’. In it Donald posited something I’ve been advocating for years. It is this. Learning can only be managed by the individual in whose head the learning is occurring.

PKM 173

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

Charles Jennings

When asked about the overall performance of the L&D department, rather than single learning events or interventions, the survey data revealed the following: L&D’S OVERALL PERFORMANCE AND IMPACT IS EXTREMELY POOR 77% of executives and managers rated their L&D department’s overall performance as poor or very poor.

Survey 181

Putting Enterprise 2.0 into Context

Andy McAfee

The biggest failure is the lack of workflow integration to drive culture change. Data and decisions (“OK, go ahead and increase the customer’s credit limit so we can ship the order&# ) should be able to flow easily between the systems for formal and informal work. Travel and Expense Management: Concur Technologies will pipe both Concur and TripIt data into Chatter for both updates and collaboration/coordination between teams on the same trip.

Open Science Essentials: Reproducibility

Educational Technology and Mobile Learning

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.

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. The clients did not go for this, even with the data staring them in the face they continued in their old ways. I discuss transparency a lot on this blog. I see it as one of the three principles for net work.

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. We need to help our leaders, managers and workers to better exploit the learning opportunities in their daily workflow.

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 this post in March 2012 I proposed my Workplace Development Services (WDS) framework to help organisations understand the range of new services and activities that will be required that are focused on supporting continuous performance improvement and learning in the workflow as people do their jobs.

Survey 179

[liveblog] AI Advance opening: Jonathan Zittrain and lightning talks

David Weinberger

BayesDB, developed by his lab, is “augmented intelligence for public interest data science.” E.g., Apple can define an automatiable workflow for milling components, but if you’re student doing a one-off project, it can be very difficult to get all the integrations right. The student doesn’t much care about a repeatable workflow. So she’s generating new sets of facial data that we can retest on.

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. I don’t have the data to prove it, but I have a gut feeling that over time any one of us will build a network of trusted colleagues and advisors that will give us equally, if not better, information and advice for action than any traditional L&D department can do. Yesterday another great British institution slid into the history books.

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.” Thank Goodness It’s Monday! This is my second TGIM post. Mondays for freelancers mean new opportunities. Weekends are often times to get work done when it’s quiet.