Skip to main content

Action Oriented Workflow, workforce emancipation, maximized value landscapes lead to the future we must have.

A recent article indicated in a chart some serious issues facing the American economy specifically but the global economy in general. It focuses on the short term maximization that is the inherent pull for corporations and how that mantra leads businesses to take a relentless approach to cost cutting which includes cutting costs in terms of the salary and other compensation given to employees.

 In a response to a thread started to discuss this article I posted the following that described again from some new angles why Action Oriented Workflow technology allows people to maximize their inherent value and work across their value landscapes. I felt it was worth transcribing into a formal blog post so here it is: What AOW does is it allows performance evaluation to be properly modulated by social cues only so much as needed to complete initiatives begun.

Ideally merit and performance evaluation are linked 1 to 1 and the couple are linked to one simple concept "action", humans take actions....machines take actions but up until my solution no system was designed to granulate action of any type across business processes. When you do that you now bring to life a new landscape of data that you can then make all kind of powerful predictive measures against. Predictive measures that remove the need for people to manage people and instead allow ones action history to be a guide to how new actions are routed to you. Facebook has seen the light...they have a system that also granulates action in terms of verbs that can be defined on their system for the building of semantic relationships between user behaviors on their platform...it is an idea that is a subset of what AOW does.

 https://developers.facebook.com/docs/opengraph/creating-action-types/

 Where Facebook stops by defining actions in a free semantic way important to linking behaviors...AOW goes on to automatically mine those actions and the linking can include semantics (as Facebook) or it can include physical behavior.

 A perfect example, in the real world a bar is a beautiful demonstration of a dynamic action landscape. If you go into a bar all manner of activity is being performed on the part of the establishment. Bar Tenders are ordering, preparing and taking money for drinks. Waiters are moving to tables to take drink and food orders in the back of the house various staff are preparing food items. Actions are popping off across the business creating data history that is connected to physical objects and people performing them across a temporal scale.

I see these patterns as signals on multiple graphs that plot the relative performance of the actions by the agents across time...these data can be used to find interesting information out about the business....like who is your best bar tender to call if you need a worker on a wednesday at 9 pm?? who is your best chef? how many drinks does Jane make on average in an hour compared to Peter when customer density is the same? All of this information can inform making the business more efficient...AOW allows a business (like a bar) to surface those actions and then monetize them.

The startup I am working on now is presenting a different business from bars but I have my eye on bars and restaurants as a business RIPE to be disrupted. In fact...if you truly "get it" you'll realize ALL existing businesses.....physical or virtual are subject to the advantages of AOW modelling and efficiency creation. Now do this across all the areas in which you can perform "action" across your competence sets and you now can earn compensation in parallel ( for all business roles that don't require physical presence) instead of in the serial fashion we have been lulled into believing was the only model.

 The machines should be the only things doing the judging of our competence...people fuck that task up every time. So now what is the result of an AOW ubiquitous future? You get people working on their own schedules...across all the things they do well...being able to opt into work and then have that work magically COME TO THEM based on their past performance...and then when they are satisfied opt out and go to the beach...and the next time they come back the system remembers they are awesome and again drowns them with work. Multiple employers...multiple roles...multiples lines of compensation...derived on THEIR schedule...without nepotistic or biased selection in the picture.

 Anything we can do to stop ad hoc automation (the regime we are in now and that Amazon is employing) from turning people into low paid robots must be in place and that is what AOW is all about...by allowing us to maximize our inherent value by working across our value landscapes we increase our ability to derive compensation even as automation is deployed to eliminate entire classes of jobs. It's been the hardest task I've ever done to evangelize this new way of looking at workflows...looking back on the work of my heroes in engineering and science to do the same with the Universe they invented I understand the reasons...the first thing people do is try to find holes in an idea...but AOW is not a dream...it's a working platform that simply needs to be put in the cloud...again I am glad to have finally gotten the serious attention of those that can make that happen now that the need for it is a daily stress to people slowly being cut out of jobs by automation deployed *the old* way. Kind of ironic isn't it?...that the answer to the automation "problem" is MORE automation but deployed in a more efficient manner to benefit the agents as well as the workflows they work in.

Comments

Popular posts from this blog

the attributes of web 3.0...

As the US economy continues to suffer the doldrums of stagnant investment in many industries, belt tightening budgets in many of the largest cities and continuous rounds of lay offs at some of the oldest of corporations, it is little comfort to those suffering through economic problems that what is happening now, has happened before. True, the severity of the downturn might have been different but the common factors of people and businesses being forced to do more with less is the theme of the times. Like environmental shocks to an ecosystem, stresses to the economic system lead to people hunkering down to last the storm, but it is instructive to realize that during the storm, all that idle time in the shelter affords people the ability to solve previous or existing problems. Likewise, economic downturns enable enterprising individuals and corporations the ability to make bold decisions with regard to marketing , sales or product focus that can lead to incredible gains as the economic

How many cofactors for inducing expression of every cell type?

Another revolution in iPSC technology announced: "Also known as iPS cells, these cells can become virtually any cell type in the human body -- just like embryonic stem cells. Then last year, Gladstone Senior Investigator Sheng Ding, PhD, announced that he had used a combination of small molecules and genetic factors to transform skin cells directly into neural stem cells. Today, Dr. Huang takes a new tack by using one genetic factor -- Sox2 -- to directly reprogram one cell type into another without reverting to the pluripotent state." -- So the method invented by Yamanaka is now refined to rely only 1 cofactor and b) directly generate the target cell type from the source cell type (skin to neuron) without the stem like intermediate stage.  It also mentions that oncogenic triggering was eliminated in their testing. Now comparative methods can be used to discover other types...the question is..is Sox2 critical for all types? It may be that skin to neuron relies on Sox2

AgilEntity Architecture: Action Oriented Workflow

Permissions, fine grained versus management headache The usual method for determining which users can perform a given function on a given object in a managed system, employs providing those Users with specific access rights via the use of permissions. Often these permissions are also able to be granted to collections called Groups, to which Users are added. The combination of Permissions and Groups provides the ability to provide as atomic a dissemination of rights across the User space as possible. However, this granularity comes at the price of reduced efficiency for managing the created permissions and more importantly the Groups that collect Users designated to perform sets of actions. Essentially the Groups serve as access control lists in many systems, which for the variable and often changing environment of business applications means a need to constantly update the ACL’s (groups) in order to add or remove individuals based on their ability to perform cert