I serendipitously came across this photo a few days ago and shared it with a group that’s fighting the recall of our very first progressive Latina elected to our City Council. I shared it with them not because of the irony (which is substantial) but because the guy with the Latinos for Trump sign has shown up at our City Council meetings to agitate in favor of recalling her. I’m told he’s from Apple Valley, which is well over 100 miles from Simi Valley. There were at several other “protestors” at these meetings that are from nowhere near Simi Valley.
Morons for Stupdity
I only recently learned the Republican Party, recognizing they can’t win control of many Western States via fair elections, have taken up this tactic of recall, which they time to occur when voter turnout is historically likely to be comparatively light. One of the primary organizers of this effort is a contributor to Red State and other right-wing publications and many believe one of her goals to be self-promotion.
Simi Valley suffers from an unfortunately deserved bad reputation for racism, thanks to the Rodney King trial which, if unfamiliar to you, you should Google. When I first retired from Rocketdyne, in 2010, I did some research on Simi. At the time, a Google search turned up essentially three things the city is known for: The Ronald Reagan Presidential Library, the worst nuclear reactor meltdown (at SSFL) in U.S. history, and the Rodney King trial. The trial was the most frequently appearing result of the three.
I tried to get some of the city’s leaders to support doing something about it via targeted blogging and social media campaigns, but they didn’t understand what I was getting at, and they weren’t really interested. Now they’re doubling down on their deep animosity for anyone who doesn’t buckle under to the weight of their limited vision.
Simi Valley’s leadership is, for the most part, highly conservative. I would label them reactionary. I’m told they’re corrupt as well, though I haven’t enough knowledge to make a judgment call on that issue. I will, however, be well-educated on it soon. Stay tuned.
In the 2020 General Election, coming up waaaaay sooner than you think, time being what it is, there are eight (count ’em, eight) Republican Senators who are up for election unopposed. Actually, two of the eight are retiring but, in all cases, whether it’s a replacement or the incumbent, they’re all running unopposed. This is an intolerable situation, IMO.
Allowing any Republican, all (save for Justin Amash) of whom have shown themselves to be hapless sycophants, bowing to the whims of the most destructive and inhumane President in modern history, to run without any Democratic opposition is something we should avoid at all costs.
Bill Cassidy, Louisiana (In 2014 he beat three-term incumbent, Democrat Mary Landrieu, 56 percent to 44 percent. Don’t know if there are any Democrats in the running at present.)
Mike Enzi, Wyoming (Retiring – This seat is considered safe by most people.)
Cindy Hyde-Smith, Mississippi (Hyde-Smith defeated Mike Espy last November in a racially charged campaign.)
James Inhofe, Oklahoma (This is the schmuck who brought a snowball into the Senate chambers to make the argument that global warming can’t be possible because it’s still cold somewhere.)
Pat Roberts, Kansas (Retiring – Maybe a lost cause, as he ran unopposed last time and Kansas is a deep red state)
Mike Rounds, South Dakota (The entire state has approximately a quarter of a million voters. Unknown if there are enough Democrats to matter.)
Ben Sasse, Nebraska (In the 2014 election, there were a little over a half million voters; Sasse won every county in the State – 64% to 31%)
Dan Sullivan, Alaska (In the 2014 election, Sullivan won by 2.2% with a total of only a little over a quarter million voters. This state could be ripe for a flip.)
After the 2016 General Election, I worked with a group of people who were creating a canvassing tool that was designed to use AI to better prepare people who were out knocking on doors. It would have used demographics and historical voting data to train a machine learning algorithm on the patterns to be found in the data. Unfortunately, our primary investor kept adding requirements and ultimately squeezed the value right out of the app.
Nevertheless, our original concept we had discussed was to use machine learning to help political organizations make the most effective (not merely efficient) use of their various resources, e.g. time, money, people, connections, as well as understanding the political environment based on polls and overall news coverage.
Frankly, nobody I know of has sat down and begun to develop such a decision model, though I would dearly love to see it happen. It’s what we envisioned after Trump “won” and I still think it’s a viable approach. It does look like it’s a somewhat daunting challenge, however, when it comes to how expensive it would be to gather all the data we’d need access to, as well as develop the algorithms that would analyze and correlate the data.
Regardless, it seems a shame so many Republicans might run without any Democratic opposition. You’d think the least we can do is make them fight for their seats, which would include forcing them to shift resources around as well. It should be part of the overall pattern of the elections, which I’m unconvinced the Democratic Party really understands.
The last few years I was employed at Rocketdyne, my job – which I essentially created – was to research social media for the purpose of bringing it inside the firewall for internal communication and collaboration.
As a result, I became both well educated in the use of numerous apps and platforms, and excited about the possibilities they represented. When the Space Shuttle program was nearing it’s end, everyone over sixty was offered an early severance package.
After some research I decided to accept the offer, which I characterized as a “gold-leafed handshake.” I was pretty excited about going out on my own and offering social media marketing services to local small businesses. Unfortunately, very few people knew what I was talking about and most businesses remained content to spend $200/month on a Yellow Pages ad that likely got thrown in a recycle bin the moment it arrived.
I’m not entirely certain, but it does seem like things have changed and many more businesses understand the value in promoting via Facebook, Twitter, Pinterest, etc. As a result in finding it easier to get clients to help and supplement my retirement income.
Sometimes I forget the work I’ve done. I mean . . . it’s over, lessons learned have been internalized and generalized . . . time to move on to something else, right? So I move on. My entire career has consisted of learning, sharing, and moving on. I’ve known people who held onto their knowledge like a life vest, scared silly for anyone to even know precisely what they do or how they do it. In my corporate experience there’s a phrase that perfectly embodies that kind of attitude: “Knowledge is Power.”
I’ve never agree with that concept. In fact, when I was doing Knowledge Management work for Rocketdyne, I used to say “If knowledge is power, then knowledge shared is power squared.” Unfortunately, becoming a sharing and learning organization requires a major cultural change and — especially in aerospace and other conservative industries — change is difficult to effect; certainly not within a short window of time.
At any rate, I was looking at the blog and web sites I am an admin for and realized I had written a couple of blog posts for a local business that was a client of mine for a very short while. I thought I would share it, only because I want to preserve as much of my work as possible. I want this in large part because almost everything I did at Rocketdyne is the intellectual property of the organizations that were the mother ship for Rocketdyne in the over two decades I was there.
I have a few presentations I did that are on SlideShare, but they don’t come close to the amount of content I produced over that time, and that includes a couple of years worth of monthly newsletters that were researched, written, and published almost entirely on my own. I even did the graphics for them. As I said, I don’t own them and, frankly, they were written for my colleagues and much of it wouldn’t make a great deal of sense to anyone outside the organization. Nevertheless, it’s a bit sobering to know you did a lot of work you cannot now take credit for . . . at least not easily. What follows is the blog post I wrote for Choice 1 Cleaners.
Your Tortured Garments
Oops!
Many things in this world are a lot more complex than first meets the eye. Dry cleaning happens to be one of them. Actually, when it comes to today’s garments, any kind of cleaning is far more complex than one might imagine. This isn’t true of all garments, but it is true of garments in general.
Take, for instance, the variability in both materials and the things that stain them. There are basic differences, e.g. fabrics are made out of plant-based (cotton, linen), animal-based (silk, wool, leather), or synthetic (polyester, acrylic, nylon) materials. Stains come in different varieties as well; they’re either plant, animal, or synthetic. Proper cleaning requires an appreciation of the science involved when trying to remove those stains without harming the fabric.
In addition to the variations in material and the things that stain them, consideration needs to be given to the method of construction and the existence of adornments or embellishments, such as pearls, beads, chains, etc. Each of these creates different challenges that need to be addressed before the garments they’re attached to can be safely cleaned. Some require gauze to be hand-stitched over them in case they come loose. Some designer clothing can contain materials that need four to six different treatments to be thoroughly cleaned.
In order to get your garments truly clean – as clean as you expect them to be – we need to test spots as well, many of which you aren’t aware exist. For instance, sweat, alcohol, and perfume stains may not show up for a while. Your skin’s oils may leave stains you don’t notice either. However, when we clean your clothes we will discover them.
Rest assured, no matter how difficult the challenge, our mission is to clean your garments so they look and feel brand new. We can’t do much about the effects of time, but we can do an awfully good job removing the things that get on your clothing and render it stained and dirty. We pride ourselves on being the best and we think you’ll agree we are!
Based on recordings of things Teh Donald™ has actually allowed to plummet out of his fabulously wealthy piehole, this video pretty much sums up many (not all, but many) of my feelings about the man and his followers. I understand the fear some white people feel, though I think it’s ridiculous of them to do so. I’m pretty sure what really scares them is the realization of how terrible people of color have been treated and, since they’re so good at projection, they’re assuming white people are now going to get as good as they gave.
As a straight, white male I really do understand what many of them feel. However, as one who works hard to understand others, and who believes empathy is an important tool for anyone who wishes to live in a reasonably civilized, respectful, and well-adjusted society, I am of the opinion they’re making things worse for everyone, including themselves.
So . . . here it is folks. I can hardly think of a better way to characterize the blatherings of our first reality show presidential candidate. This is YUGE!!
The other day I received a huge catalog in the mail. As one who routinely has thrown printed Yellow Pages, or other directories, into the recycle bin immediately upon receipt, I was curious why this had come my way. It was addressed to me and the company I spent a couple of years dabbling in, Rick Ladd & Associates. I’m guessing they purchased a mailing list, most likely from the Simi Valley Chamber of Commerce.
It’s clear they did nothing to vet the list, as I don’t think I could be much further away from biotechnology, and have absolutely no need for any of their products, which are legion.
What’s a bit remarkable to me is the sheer size of the offering and the appearance they used a scattergun approach to market their products (did I mention they’re legion?). To help you appreciate its size the index, which is over 90 pages in length, begins on page one thousand. That’s 1-0-0-0. A thousand pages of biotech products, not one of which I can imagine I need, let alone understand how or why they’re used!!
I’m not in any way suggesting anything they offer is useless; after all, biotechnology is really changing our lives in many ways. What I am saying is that I, in every “professional” category I have engaged in, see no intersection with these products. They are almost unintelligible to me.
Oh, I understand the relevance of many of the disciplines or categories the catalog addresses, e.g. Molecular Biology, Immunology, Cell Biology, and Biochemicals, but the individual products are mostly a mystery to me and I have no intention of becoming conversant in their station in the universe, save for what I need to make my point here.
I must reiterate. I can understand the general relevance of a product such as “Goat Affinity Purified Antibody to Mouse Transferrin” or “MeOSuc-Pro-Ala-Ala-Pro-Pro-paranitroanilide”. I’ve even learned what Apoptosis is, for which I’m glad. Yet I have no use for these products; it’s not what I do. Why on Earth would they spend this much on producing a catalog and sending it to a person/business where it will be immediately (well, almost immediately) discarded? Maybe it’s worth it, but there wouldn’t be bankruptcies if everyone always did the right thing.
Perhaps I don’t understand marketing all that well.
PS – It also came with an 86 page price list in six different currencies (USD, EUR, GBP, YEN, INR, RMB) all of which are apparently good for 2016 – 2018! That’s an amazing length of time to be able to hold so many prices stable. It is printed in a font size for which I would need an eye transplant to be able to read comfortably.
I don’t know about you, but I’ve been following the ongoing saga of Uber as they shove a full-sized sedan up their collective ass. Between the misogyny and now the threat by a VP to use their data to harass journalists they think are being unfair to them, not to mention the calls by lots of people for a few heads to roll, it’s been quite a couple of weeks of revealing info. I don’t usually write about current events, but this one is just so bloated with lessons to be learned and practices to avoid if you want to run a successful business . . . and keep it that way, I thought I would share this latest spike strip thrown on the road, access to which Uber seems so desperate to control. Enjoy!
I am — at least, I was — a Knowledge Management professional. It’s what I did for over a decade at Rocketdyne, starting when it was a business unit of The Boeing Company, up through my retirement from Pratt & Whitney Rocketdyne, a division of United Technologies. Pratt & Whitney paid for me to earn a Masters Degree in KM online from CSUN’s Tseng College. It’s such an exclusive degree they don’t offer it anymore. 🙂
I mention this because it affects how I share information, especially here on my blog. One of the tenets we tried to drill into people’s heads, and follow ourselves, was to avoid reinventing the wheel. That is, make it a habit to reuse information and knowledge that’s already been won at some cost to one or more individuals and the organization in which it was produced. This means, among other things, I am not interested in rewriting what others have written, while adding my own twist to it. This doesn’t apply when how I perceive an issue is substantially different than others, but it does when I’m sharing things I mostly agree with.
Yesterday and today brought me two great, and related, examples of things that need sharing and for which there’s little for me to do than announce them. The first I will actually place second, below, as it’s the subject of the second, which is a post by Dennis Howlett, which he published today in diginomica. What Dennis discusses is a Google Hangout Robert Scoble conducted, wherein he described what he has learned in thousands of hours of tweaking Facebook’s algorithms — primarily through his educated use of lists, likes, shares, etc.
Both Dennis and Robert are still far more embedded in the business world than I am and, rather than attempt an explanation through my eyes, I want to leave it to both of them to help you out. If you are using Facebook for your business or profession, or even if you just want to have a much better experience when using Facebook personally, I suggest reading the post and watching the video, which I am also including here. As Dennis points out, Robert is very generous with sharing his knowledge, something this KM pro really admires. You really should take advantage of it.
A couple of years ago, in response to a request from the Simi Valley Chamber of Commerce, I conducted (as I recall) twice-monthly seminars on the use of social media for small businesses. They were called “Facebook Fridays” and you’ll never guess what day of the week we held them on. They started out as presentations on various aspects of the technology and the philosophy behind their use. However, after a short while it became clear that people had lots of specific questions they wanted answered. In response, I changed the nature of what I did and started each session off by opening it up to questions.
It worked quite well for nearly a year but, toward the end, attendance dwindled and I grew somewhat weary of doing the necessary preparation and having to show up twice a month. The Chamber found someone else willing to continue the work and I moved on. By that time I was becoming disenchanted with the direction I had chosen to attempt building a useful business and was looking to other areas of endeavor as well.
Recently, I had lunch with the CEO of the Chamber and we decided it would be useful for me to bring back what I had done before, the difference being the subject matter would be a little less focused on marketing and a lot more focused on business model, business process, technology, and cultural transformation. Today was the first of what I hope will be many such events.
I used a vehicle I have not used before to conduct this 50 minute webinar – Google Hangouts on Air. I’m not sure it’s the best way to conduct something like this, but viewership is unlimited and the session is both recorded and automatically placed on my YouTube Channel. I’m embedding the session below. This really was somewhat of an experiment and the subject was quite broad. I’d love to get some feedback. Don’t be shy now.
World Modeler adds a Systems approach to Project Management
In my last post I took a stab at defining, and explaining, the concept of Decision Intelligence. I’m willing to bet you’re going to be hearing a lot about it in the not-too-distant future. So you don’t have to click back and forth, I’ll copy over what I wrote about it in that post:
This is the term Quantellia now uses to describe what it is we do. NB – The term is not “Decision Analytics”; there’s a reason for this. Perhaps it is best understood when one looks at a part of how decision modeling is accomplished. Part of the raw material available today for making decisions is what we call “big data”. There’s an awful lot of attention being paid to the field of predictive analytics, which uses big data as its raw material. We at Quantellia prefer the term predictive intelligence. This is because predictive analytics uses past performance (data) to project trends into the future. We like to think we take the concept a bit further.
While we believe analytics are useful and important, they lack the dimensions of human knowledge and understanding that can more completely predict how the past will play out in the future. A subtle distinction? Perhaps, but I find it a valuable one. Unless we’re talking about the future activity of a machine designed to perform a very limited set of instructions or actions, our activities involve human understanding, emotion, and interpretation. There are times when these attributes can dramatically change the course of an organizational effort, rendering previous decisions moot or, at best, only partially useful or correct.
By providing a method whereby human understanding, intuition, and wisdom can be incorporated into the decision model itself, we believe we can more intelligently predict the future. We are well aware there is no such thing as infallibility. However, we also know the more useful and actionable information and knowledge we have available to understand what has happened − and is likely to happen − the better our decisions will be.
Now, having had some time to think about it – it’s been over a month since that post -and having discussed it a bit with Quentellia’s Chief Scientist, Dr. Lorien Pratt (@LorienPratt), I’d like to add a little something to both the definition and the description of what World Modeler has to offer. Keep in mind, as with many things, perhaps even more so with something truly emergent and reasonably new to my experience, both my understanding and my ability to explain are evolving; developing structure and nuance as I learn more theory and encounter more examples of real-world situations.
I consider systems thinking, or the ability to see systems — and systems of systems — as the most effective way to understand what is happening within any one or more of those systems, as well as have a chance at affecting the outcomes of the ones designed to produce value and realize valuable results or consequences of their workings. The more elements of a system that can be modeled, the more likely you will be able to understand downstream effects of your decisions, and the more likely you are to see the unintended consequences of actions before you take them.
Here’s where Quantellia’s World Modeler™ excels as a decision modeling — and making — tool and enabler. Consider Predictive Analytics, the practice of extracting information from existing data sets in order to determine patterns and predict future outcomes and trends. PA usually returns fairly simple, pairwise relationships, e.g. these customers in this demographic, with this amount of revenue, etc. are likely/not likely to churn or devoting a certain amount of energy to customer retention is likely to affect/not affect customer churn.
World Modeler, on the other hand, allows you to create a highly complex systems model. This means you can look at numerous elements and their interrelationships to see how they work together, e.g. customer characteristics, customer retention efforts, likelihood to churn, total customers, revenues, and even business rules that might have to be taken into consideration if certain levels of activity are reached. Furthermore, when you don’t have data for one or more of these elements, you can use human expertise, the tacit knowledge of your employees or the group to fill in the gaps. When you have real data, if you later are able to gather it, you can then plug it into the model and continue going.
One more thing. World Model is a highly flexible, iterative navigation mechanism. It allows you to predict without complete or perfect knowledge, then pivot and change the model as new and/or different knowledge, information, and data are gathered or encountered. You can do this repeatedly over the course of months or years, whatever’s necessary to help you make the best decisions for achieving your desired outcomes. So success doesn’t depend on long-term predictions. Rather, it depends on navigation and alignment between the organizations systems, processes, and the humans that employ them.
Now . . . having learned all that, aren’t you interested in seeing how this tool works? You can get a free evaluation copy and all you’re giving up is a little contact information. There’s no obligation. Click on this the link to download a fully-functional two-week evaluation copy of World Modeler. Give her a Whirl(d)!
Tweaking Facebook
Use the Like, Luke.
I am — at least, I was — a Knowledge Management professional. It’s what I did for over a decade at Rocketdyne, starting when it was a business unit of The Boeing Company, up through my retirement from Pratt & Whitney Rocketdyne, a division of United Technologies. Pratt & Whitney paid for me to earn a Masters Degree in KM online from CSUN’s Tseng College. It’s such an exclusive degree they don’t offer it anymore. 🙂
I mention this because it affects how I share information, especially here on my blog. One of the tenets we tried to drill into people’s heads, and follow ourselves, was to avoid reinventing the wheel. That is, make it a habit to reuse information and knowledge that’s already been won at some cost to one or more individuals and the organization in which it was produced. This means, among other things, I am not interested in rewriting what others have written, while adding my own twist to it. This doesn’t apply when how I perceive an issue is substantially different than others, but it does when I’m sharing things I mostly agree with.
Yesterday and today brought me two great, and related, examples of things that need sharing and for which there’s little for me to do than announce them. The first I will actually place second, below, as it’s the subject of the second, which is a post by Dennis Howlett, which he published today in diginomica. What Dennis discusses is a Google Hangout Robert Scoble conducted, wherein he described what he has learned in thousands of hours of tweaking Facebook’s algorithms — primarily through his educated use of lists, likes, shares, etc.
Both Dennis and Robert are still far more embedded in the business world than I am and, rather than attempt an explanation through my eyes, I want to leave it to both of them to help you out. If you are using Facebook for your business or profession, or even if you just want to have a much better experience when using Facebook personally, I suggest reading the post and watching the video, which I am also including here. As Dennis points out, Robert is very generous with sharing his knowledge, something this KM pro really admires. You really should take advantage of it.
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