Where organizational support needs to go

Patti Anklam is blogging the E2 Conference and discusses how Tony Byrne distinguishes between Networking and Collaboration with this diagram:

Networking could also be called cooperation, as Stephen Downes helped me define it:

collaboration means ‘working together’. That’s why you see it in market economies. markets are based on quantity and mass.

cooperation means ’sharing’. That’s why you see it in networks. In networks, the nature of the connection is important; it is not simply about quantity and mass …

You and I are in a network – but we do not collaborate (we do not align ourselves to the same goal, subscribe to the same vision statement, etc), we *cooperate*

In the above matrix, I’ve shown how different levels of complexity call for different levels of work practice and group work. This is a key problem with our current systems of human resources (HR) and training systems. The majority of the effort goes into developing individual skills. From recruiting for skills, knowledge and attitude to individual assessments and salary scales, we pay little attention to how groups and organizations work and especially to the greater community from which we all draw support, information and knowledge. Adding “must be a team player” to a job description doesn’t cut it any more.

As our interconnectedness increases in the digital surround, it’s becoming obvious that we are not individuals doing our own thing, who from time-to-time have to deal with others. We are becoming our networks, but most organizational support functions do not  understand networked work and learning. They don’t even speak the language. HR, OD, L&D and training need to develop new literacies to discuss and account for those spheres that are outside the individual, yet are becoming such an important part of each of us.

Those large grey spheres are areas of significant importance and opportunity for the next generation of organizational support. They are also the fields of play for every snake-oil salesman around.

Compliance of an industry

1. compliance — acting according to established and accepted standards.

Mandated training is a standard response by industry regulators when dealing with human performance issues. This is ‘compliance training’. The training industry (internal or external) then develops the training and as more compliance training gets loaded onto organizations, we have an excellent excuse to buy some technology systems to manage it.

The owners of compliance, whether authorities like government and regulatory bodies, professional bodies, or  internal legal  counsel, are stuck in a mindset that in order to get compliance you must have training.  They see it as the only way. To them it’s simply a way of keeping the chairman and CEO out of prison if something goes wrong.  If something REALLY goes wrong, the fact that someone had been through a training program and has obtained a tick in an LMS box just means the difference between a few years in jail.

That mindset also permeates the training industry. Too many people in the training department make the leap from a performance issue (lack of skills, abilities, knowledge; lack of access to appropriate data and resources; etc) directly to training as the only solution. This is the wrong approach and the most costly. Management plays into this, with statements like “We have a training problem” and no one challenges that statement. There is no such thing as a training problem.

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Here are some ‘training problems’ that are not solved through training:

  • Poor communications
  • Unclear expectations (such as policies & guidelines)
  • Inadequate resources
  • Unclear performance measures
  • Rewards and consequences are not directly linked to the desired performance

These barriers can be addressed without training. Only when there is a genuine lack of skills and knowledge, is training required [repeat as necessary]. Training should only be done in cases where the other barriers to performance have been addressed. A trained worker, without the right resources and with unclear expectations, will still not perform up to the desired standard. Would training have helped avoid BP’s problems on its oil rig? Not likely.

Examining existing compliance training to see if it could be replaced with performance support would be a start. Performance support is quite appropriate:

  • When performance is infrequent
  • When the situation is complex
  • When the consequence of errors is intolerable
  • When performance depends on a large body of information
  • When performance is dependent on knowledge or information that changes frequently
  • When performance can be improved through self-assessment
  • When there is a high turnover rate
  • When there is little time or money for training

2. compliance — the act of submitting; usually surrendering power to another.

So why doesn’t the industry raise a fuss over wasteful and ineffective training? Is the training industry exhibiting compliance à la définition #2? When regulators demand compliance training, where are the protests from ATD, CSTD or other professional associations? Would the training department be slashed without all that compliance stuff? Would you be able to justify the six figure price-tag of that learning management system without the sword of compliance over the CEO’s head?

If physicians were told they had to give treatments without a diagnosis would they remain compliant? Where are the learning professionals lobbying for change? Some folks, like Will Thalheimer are trying to push us to base our work on research, but for the most part the training industry is a bunch of sugar pill pushers. Don’t say we have no choice. We’re supposed to be the professionals. As workers and organizations become more connected, perhaps they’ll recognize the training scam for what it is. Until then, the industry will keep selling training; for all that ails you.

A unified performer-facing environment

Clark Quinn describes the need:

What seems to me to be the need is to have a unified performer-facing environment.  It should provide access to courses when those are relevant, resources/job aids, and eCommunity tools too.  That’s what a full technology support environment should contain.  And it should be performer- and performance-centric, so I come in and find my tools ‘to hand’.  And I ‘get’ the need for compliance, and the role of courses.

Jane Hart shows a model that could work:

Collaboration model

Here it is the social and collaboration aspects that are the focus for the learning – not the content – the content is co-created by the learners [workers] – so that the learner [worker] fully participates and is active in the learning.

This model is used where a problem-based or inquiry-based learning approach is used, and here the tutor [co-worker] is an equal member of the learning group “the guide on the side” rather than the “sage on the stage”.

Time to Get on the Cluetrain

As much as we may think it’s all about learning, it’s not. In the 21st century workplace, getting things done, solving problems and being creative & innovative are the orders of the day.

Thesis #8: In both internetworked markets and among intranetworked employees, people are speaking to each other in a powerful new way.

Training professionals had it easy for the past century. Run the course and send them off to work. Now that we are all connected by networks, much of our work is becoming more transparent.

Thesis #12: There are no secrets. The networked market knows more than companies do about their own products. And whether the news is good or bad, they tell everyone.

There’s no hiding in the global village. That means you can longer head off to a classroom removed from the work and do something disconnected from the realities and needs of workers. They’ll flame you on the back-channel and the whole world will find out pretty quickly. Just accelerate this tendency each year with new arrivals in the workforce and watch what happens.

Thesis #13: What’s happening to markets is also happening among employees. A metaphysical construct called “The Company” is the only thing standing between the two.

If training departments don’t get integrated with the work, they will become irrelevant.

Thesis #20: Companies need to realize their markets are often laughing. At them.

HPT and ISD

Clark Quinn discussed the Great ADDIE Debate and summarized the alternatives to exclusively using ADDIE (analysis, design, development, implementation, evaluation):

The obvious question came up about what would be used in place of ADDIE.  I believe that ADDIE as a checklist would be a nice accompaniment to both a more encompassing  and a more learning-centric approach.  For the former, I showed the HPT model as a representation of a design approach considering courses as part of a larger picture.  For the latter, I suggested that a focus on learning experience design would be appropriate.

Using an HPT-like approach first, to ensure that a course is the right solution, is necessary.  Then, I’d focus on working backwards from the needed change (Michael Allen talked about using sketches as lightweight prototypes at the conference, and first drawing the last activity the user engaged in) thinking about creating a learning experience that develops the learner’s capability.  Finally, I’d be inclined to use ADDIE as a checklist to ensure all the important components are considered, once I’d drafted an initial design (or several).  ADDIE certainly may be useful in taking that design forward, through development, implementation and evaluation.

I think of HPT (human performance technology) as an enabler to get to first base in instructional systems design (ISD). Without the proper analysis of the organizational needs, constraints and performance factors, a “learning” project may be doomed from the onset, because too often, training is a solution looking for a problem.

Here are some images from past presentations that support Clark’s post and may be helpful.

Pilots or Beta?

If you take the cynefin approach for working in complex environments you first Probe then Sense and then Respond in order to develop emergent practices. Backward-looking good or best practices are inadequate for changing complex environments. Constant probes of the environment are necessary to see what works.

beta

Enterprise performance should be looked at from the perspective of perpetual Beta. The values and culture can remain stable while the tools and practices keep evolving to take advantage of the situation. Perpetual Beta means an acceptance that we’ll never get to the final release and our learning will never stabilize. This is quite different from perpetual Alpha, or never getting to something concrete, as Jay Cross commented here several years ago:

What’s beta and what’s not is a state of mind. Many people try to go into release prematurely: they put defective product on the market. (By productizing people, I mean locking in on attitudes, structure, opinions, etc.: becoming rigid.)

Life as beta is uplifting. You have the opportunity to streamline things, to respond to feedback, to become a killer app.

Lots of alphas are claiming beta status now. They debut on life’s big stage long before they’re prepared to play the part.

Does perpetual Beta equate to doing lots of pilot projects? Ross Dawson is a strong proponent of pilot projects for implementing Enterprise 2.0 and lists five characteristics of great pilots: Enthusiasm; Roles & Functions; Skills; Personality & Network:

5. Network
The primary way in which pilots projects will become visible to other people the organization and adapted to new issues is through the personal networks of the pilot team members. Strong personal networks within organizations emerge through both personality, organizational role, and work history (e.g. having worked in multiple divisions or locations). In most organizations networks are fairly strongly correlated to longevity in the organization, meaning that recent recruits are unlikely to have strong personal networks.

On the other hand, Gartner’s Anthony Bradley says that piloting does not make sense for social media projects:

This practice is not prudent for social media where the software complexity should be minimal and the primary goal is to get people interacting. Community participants are fickle and unforgiving (especially external communities). You may only get one shot at catalyzing community formulation. Don’t pilot, test, prototype, or experiment on the community. Don’t artificially restrict participation. The law of numbers is a critical factor in building a thriving and productive community.

A key factor I see in these two articles is that it is important how you define a “pilot” project. If it is viewed as something done on the side and not part of the real business, then it may be doomed to failure. If being involved in pilot projects is a normal part of work, then it fosters a culture of life in perpetual Beta. You can still cancel projects or go in a different direction, but there is a cultural commitment to learning by doing. It’s the difference between our pilot and your pilot.

PKM in 2010

Personal Knowledge Management

Updated 5 Feb 2010: changed “Filter” to “Understand

[This post is a continuation of Sense-making with PKM (March, 2009)]

Personal = according to one’s abilities, interests and motivation (not directed by external forces)

Knowledge = the capacity for effective action (know how)

Management = how to get things done

What is PKM?

PKM is an individual, disciplined process by which we make sense of information, observations and ideas. In the past it may have been keeping a journal, writing letters or having conversations. These are still valid, but with digital media we can add context by categorizing, commenting or even remixing it. We can also store digital media for easy retrieval.

The Web has given us more ways to connect with others in our learning but many people only see the information overload aspect of our digital society. Engaging others can actually make it easier to learn and not become overwhelmed. Effective learning is the difference between surfing the waves or being drowned by them.

PKM can be looked at as three types of activities [note: I’ve reduced this from seven activities in my previous articles on PKM as I believe that a simpler process is easier to teach and to begin with].

Aggregate

Filter

Understand

Connect

Observations & Notes

Information

Knowledge

Sources of Info & Knowledge

Annotate, Tag,

List, File,

Classify, Clarify,

Expand, Question

People – People


Ideas – Ideas


People – Ideas

Why PKM?

Human knowledge currently doubles about every year and personal knowledge management is one way of addressing the issue of TMI (too much information).

PKM is of little value unless the results are shared by connecting to others and contributing to meaningful conversations. Informal, social learning is the primary way that knowledge is created in the workplace. The whole is greater than the sum of the parts as we build on the knowledge of others. As knowledge workers or citizens, PKM is our part of the social learning contract. Without effective PKM at the individual level, social learning has less value.

A Model

There is more than one PKM process but here is a basic structure that works for me and makes sense to many others I show it to. This post is meant to be descriptive, not prescriptive. Take what you need, as there are no best practices for complex and personal learning processes.

Aggregate Understand Connect

PKM in the context of work:

Individuals have their unique methods of sense-making and by sharing cooperatively or working collaboratively they contribute to the social learning mosaic that creates organizational knowledge.

Aggregate – looking for good sources of information (people) – noting or tagging pieces of information while working collaboratively.

Filter Understand – saving information for later – considering how it may be useful in various contexts – making sense of it – finding the right information, at the right time, in the right format,  from the information repositories of our subject matter networks.

Connect – ongoing conversations while learning and working including connecting ideas and people.

Enhanced Serendipity – PKM increases the chances of serendipitous learning. and as Louis Pasteur said, “Chance favours the prepared mind”. According to Ross Dawson: “You cannot control serendipity. However you can certainly enhance it, act to increase the likelihood of happy and unexpected discoveries and connections. That’s is what many of us do day by day, contributing to others like us by sharing what we find interesting.”

Getting to work

One of the difficult aspects of PKM is triage, or sorting. It’s the ability to separate the important from the useless. Unfortunately, what we view as useless today could be quite important tomorrow. Developing good triage techniques takes time and practice. It depends on the depth and breath of our sources (aggregation), as well as the effectiveness of our filters.

When we find something of interest or value, we need to do something with it. Either file it, save it, add to it, send it on or discard it. Discarding or missing something is becoming less of a problem online because we have powerful search tools and if we participate in cooperative networks, more than one person will notice items of significance. This process also gives us time to make sense of things, to understand.

All of this aggregation and filtering isn’t of much use if we can’t find things later. Putting our knowledge online, in databases that enable tagging, filtering and searching makes it much easier to retrieve it when we need it. For example, I use this blog as a knowledge repository. It is searchable and I’ve added tags and categories. With over 1,500 posts and +4,000 comments, I have a an excellent tool for managing what I’ve learned. Add to this almost 2,000 online social bookmarks and weekly summaries of what I learn on Twitter and I’ve created an outboard brain.

The most important aspect of PKM is making our knowledge not only explicit but public. This is part of connecting. Going public means looking both inward and outward. However, let me add one caveat. Sometimes, just publishing online for our own learning and perhaps later retrieval, is enough. It doesn’t matter if nobody links to it. If we get too focused on what others think, we won’t become good critical thinkers.

Group-centric work and training

Individual Training

In the +20 years I spent in the military, much of it was as a student on course. In the military there is a whole system that governs individual training, in our case it was CFITES.

CFITES

CFITES comprises several volumes of instructions, including all of the ADDIE steps. A lot of resources are put into preparing individuals for duty and the system is designed for large numbers. Much time and effort goes into training a soldier and in peacetime there’s not much other than training to do anyway. If in doubt – train. Military Instructional Systems Design (ISD) has greatly informed and inspired civilian training. Frameworks such as the Systems Approach to Training, developed by the military, have over the years been adopted and adapted by corporations and government agencies.

Collective Training

Groups of soldiers who will work together usually participate in “collective training” and this typically follows some kind of cycle of preparing for operations, performing missions and coming back from missions. During the preparation phase, units work through the types of operations they think they might have to do. These are scenario-based rehearsals of varying intensity. For instance, one group exercise may solely focus on communications systems and processes.

What is interesting is that the collective training system is much less formal. There are guidelines, but not several volumes of guidance. For the most part, the training specialists are only advisors on collective training. The combat operations folks run the show here.

However, the military has a distinct advantage over business when it comes to collective training. The military is not always on operations. Due to the tempo of operational duty, soldiers need to come back and recuperate and this is when training can be conducted. Business, on the other hand, cannot afford to take staff away from their work for long. Business may be lower tempo than combat operations, but it’s always on.

The Military/Industrial Legacy

In corporations and large organizations, the training focus is predominantly on individual skills, usually based on some variant of ISD. However, as Jay Cross and I explained in the future of the training department, training is inadequate in developing the emergent practices necessary to operate in complex networked environments. The military is able to get around this weakness through collective training prior to operations, or pulling troops out of the operational theatre for special training. Also, new operating procedures are constantly updated with information from the Lessons Learned Centre.

Civilian organizations have taken one part of the military training model – Individual Training – and applied it to almost all training. This is part of the problem which could be partially addressed by focusing less on formal individual training and supporting informal learning. But the big challenge for businesses is to conduct collective training while working (being operational) at the same time.

Not Group Think, but Think Groups

The reality of working in networks is that the individual is only one node within multiple relationships of varying strengths and value. How the group works together and to whom it connects becomes very important. How then can networked workers do the equivalent of military collective training while still working effectively?

groups

Something like the Lessons Learned Centre could be a good model for a more operationally-focused training department, communicating the emergent patterns that are observed in day to day work. The official objective of the training department could also shift from supporting individuals to supporting groups. This would be a major shift and we might then see a number of changes:

  1. Training would have to move to the group because you could no longer pull individuals out of the workplace for courses.
  2. Each group has its own work context so it becomes critical to involve each group in the design of tools and interventions.
  3. There would be many groups to serve, so better feedback loops would be needed to ensure a two-way flow of communications.
  4. The training department would be busier serving many masters and may be forced to emphasize do-it-yourself solutions for groups (a good thing).
  5. The training department would learn more about the work being done (a real good thing).
  6. Courses would become an option of last resort.

The new training department would have to be focused on “Connecting & Communicating”, such as lessons learned, and I would bet that the first set of tools they would grab would be some kind of social media to enable better communications and networking.

invert pyramid

The Future of the Training Department

The latter 20th Century was the golden era of the training department. Before the 20th Century, training per se did not exist outside the special needs of the church and the military. Now the training department may be at the end of its life cycle. Join us for a brief look back at the pre-training world and some thoughts about what may lay ahead.

Before industrialization, work was local or industry meant cottage-industry. People had vocations, not jobs. Sometimes guilds helped apprentices learn by doing things under the eye of a master, but there weren’t any trainers involved.

About three hundred years ago, work became an organizational matter. Factories required groups of people working together. To coordinate their activities, groups need a shared understanding of who is doing what. Orders from the top of the organization kept everyone on the same page. Managers showed workers how to do things and made sure they were doing them the right way. A little training went on, but there still weren’t any trainers.

Fast forward to the 20th century. The pace of progress is unrelenting. Clocks measure working hours instead of the sun. Railroads and communications links span the globe. Competition fuels change. Efficiency becomes paramount. Frederick Taylor uses time-and-motion studies to find the one best way to do individual pieces of work. Taylor’s Principles of Scientific Management becomes the bible in the crusade for maximizing efficiency.

Training was invented in the first half of the 20th Century. GE started its corporate schools. NCR delivered the first sales training. Factory schools appeared in Europe. Mayo discovered the Hawthorne Effect, opening the study of motivation. B.F. Skinner constructed teaching machines. The U.S. military formalized instruction to train millions of soldiers for World War II. ASTD is born.

The second half of the 20th Century was arguably the Golden Age of Training.  Every corporation worth its salt opened a training department.  Xerox Learning, DDI, Forum Corporation, and hundreds of other “instructional systems companies” sprung up.  Thousands upon thousands of trainers attended conferences to learn about new  approaches like programmed instruction, behavior modification, role play, certification, CD-ROM, sensitivity training, corporate universities, and the Learning Organization.  Training was good; efficient training was better.

Most of this training activity assumed that you could prepare people for the future by training them in what had worked in the past. Yesterday’s best practices were the appropriate prescription for curing tomorrow’s ills. That works when the world is stable, and things remain the same over time.

At this point in the 21st Century, the game is changing once again. Complexity, or maybe our appreciation of it, has rendered the world unpredictable, so the orientation of learning is shifting from past (efficiency, best practice) to future (creative response, innovation). Workplace learning is morphing from blocks of training followed by working to a merger of work and learning: they are becoming the same thing. Change is continuous, so learning must be continuous.

To justify its existence from here on, a training department must shift direction in three areas:

  • Embracing complexity and adaptation to uncertainty
  • Inverting the structural pyramid
  • Adopting new models of learning

Embracing complexity

Nothing is for sure any more. Consultant and management theorist Dave Snowden has come up with a framework for management practice in complex environments.

Snowden’s Cynefin framework has been used in the study of management practice. It can also help us make decisions for our organizations. Understanding what type of environment we are working in (Simple, Complicated, Complex or Chaotic) lets us frame our actions. When the environment is complex: the relationship between cause and effect can only be perceived in retrospect, but not in advance, the approach is to Probe – Sense – Respond and we can sense emergent practice.

cynefin

From the Cynefin perspective best practices are only suitable for simple environments and good practices are inadequate in responding to constant change. Both approaches look to the past for inspiration, or as Marshall McLuhan wrote, “We look at the present through a rear-view mirror. We march backwards into the future.”

Most of our environments are complex so first we need to probe, or take action, and then sense the results of our actions (Probe-Sense-Respond). This approach has already been adopted by Web services, where Beta releases are launched and tested before they are finalized. For example, Google’s ubiquitous GMail service is still in Beta. The phrase, “we are living in a beta world” is increasingly being used outside the Web services domain.

In complex environments it no longer works to sit back and see what will happen. By the time we realize what’s happening, it will be too late to take action. Here are some practical examples for learning professionals:

PROBE: Prototype; Field test; Accept Life in Beta; Welcome small failures
SENSE: Listen; Enable conversations; Look for patterns; Learn together
RESPOND: Support the work; Connect people; Share experiences; Develop tools

Inverting the Pyramid

So what models will work for our complex environments? The hierarchical organizational pyramid is a model that has worked for centuries. It’s premised on the beliefs that management has access to the necessary strategic information and knowledge. Because knowledge is thought to be power, management best understands the outside world and can clearly tell the workers what needs to be done and how.

inverted pyramid

In a complex, networked environment the lines of communication are no longer clear and the walls between the workers and the outside world are porous. Many workers know more about the outside environment than management does. Today, the relationship between workers and management is not as clear as it once may have been. Effective organizations are starting to look more like inverted pyramids.

As the Cluetrain Manifesto succinctly stated almost a decade ago, “Hyperlinks subvert hierarchies”. Hierarchies may not die in the future but they may have to co-exist with a new form of workplace organization, the Wirearchy.

wirearchy

Researcher and analyst, Jon Husband, says that wirearchy is, “a dynamic two-way flow of power and authority based on information, knowledge, trust and credibility, enabled by interconnected people and technology”. The Internet has created interconnectedness on a massive scale. Power and authority must now flow two ways for any organization to be effective. This requires information, knowledge, trust and credibility. Wirearchy in action is evident in open source software development projects, with minimal command and control, yet able to compete directly with large hierarchical corporations.

A New Model for Training

Workers at the the bottom of the traditional organizational pyramid are those who interact closest with their environment (market, customers, information). To be effective today they need to be constantly probing and trying out better ways of work. Management’s job is to assist this dynamic flow of sense-making and to respond to workers’ needs, within a trusted network of information and knowledge sharing.

invert pyramid

The main objective of the new training department is to enable knowledge to flow in the organization. The primary function of learning professionals within this new work model is connecting and communicating, based on three core processes:

1.Facilitating collaborative work and learning amongst workers, especially as peers.

2.Sensing patterns and helping to develop emergent work and learning practices.

3.Working with management to fund and develop appropriate tools and processes for workers.

The only certainty about the future from here on out is that it won’t resemble the past. For example, instructional designers no longer have time to develop formal courses. Survival requires people who can navigate a rapidly-changing maze at high speed. They need to find their own curriculum, figure out an appropriate way to learn it, and get on with it. It’s cliché to say that people have to learn how to learn. Management needs to support self-learning, not direct it.

Workers will also have to be their own instructional designers, selecting the best methods of learning. Furthermore, given the increasingly reciprocal nature of knowledge work, they will have to know how to teach. Each one-teach-one is at the heart of invent-as-you-go learning. The training department should be encouraging and supporting these activities.

Next?

Will training departments survive to address these issues? The cards are still out. After all, we are in a global economic depression, and training is the perennial first sacrifice.

What would happen if you called for closing your training department in favor of a new function?

Imagine telling senior management that you were shuttering the classrooms in favor of peer-to-peer learning. You’re redeploying training staff as mentors, coaches, and facilitators who work on improving core business processes, strengthening relationships with customers, and cutting costs. You’re going to shift the focus to creativity, innovation, and helping people perform better, faster, cheaper.

You might want to give it a try.

Perhaps the time has come.

Note: This article is a re-post of the original co-authored with my colleague Jay Cross (1944-2015)

Mind Map: The Networked Society

Over the years of writing this blog I’ve reorganized, added tags, categories and the Key Posts & Toolbox pages in order to help make sense of over 1,500 posts. A major theme in my writing has been our shift to a networked society and what that means in how we work and learn. I’m especially interested in the fact that working and learning are merging in many contexts. Learning (often viewed from the limited perspective of training or education) is not a separate activity, removed from work.

This mind map links several concepts and related articles around the theme of the networked society:

Networked Society

Working

Structures

Living

Learning

The marginalized training function

Tony Karrer clarifies his comments about traditional training becoming “marginalized”, which is worth a full read but I’d like to pick up on this comment:

If you look at what makes a good situation for formal learning:

  • Large Audience
  • Similar Level / Needs
  • Known/Stable Content
  • Few Out of Bounds cases

How many organizations have these conditions and are they increasing or decreasing? Are there many “large audiences” of “similar needs and levels of experience” in your organization? How about content that is known and stable? Even compliance training changes as new regulations try to counter every unique case.

I have little doubt that most knowledge work is becoming more complex if for no other reason than the fact that we have squeezed out most redundancy in our systems and have automated any tasks we can. The only good-quality, high-paying work that is left requires contextual knowledge, problem-solving and creativity for those “out of bounds cases”. Training, other than in basic processes, does not address these skills.

cynefin and training

Knowledge workers need to learn from the emergent processes they  continuously create to deal with a complex environment. That means making things up (creativity) based on best guesses and collaboration and making parts of these processes tangible enough to pass on for their ever-shortening half-lives.

I would agree that training is getting marginalized but someone (or some department) in the organization will be taking responsibility for getting work done. For instance, at  Intuit, training is part of marketing and involves the customer directly. Your own organizational experience in the next few years may differ, but dealing with complexity will definitely be part of it.