I know it’s been quite a while since last I posted here. I’ve been continuously active on Facebook and have begun tweeting quite a bit as well, but that’s not why I haven’t posted to this blog in the past nearly three months. As of March 1 I began a new career, probably not the kind of thing you hear about 70-year-olds doing all that often. Since then I have been working as the Business Manager for Quantellia, LLC. You may recall I’ve done work for and with Quantellia on and off for the past six years.
Quantellia is a small AI/ML software development house and, until now, one of the co-founders has been running the business. Inasmuch as she is also the organization’s Chief Scientist, and a well-known pioneer in Machine Learning, this was not exactly the optimal thing for her to be doing. I had been touching on the subject and, since she was having such a hard time getting someone competent to run the business, I pressed my offer to do so. She finally relented and things have been going swimmingly, although there have been times I was swimming against the current. I’m definitely climbing a steep learning curve, which sometimes has me questioning if I’m losing my edge.
Actually, at times I can’t quite tell if my intellect is slipping a little bit, or if I just don’t care as much as I used to and I’m not quite as arrogantly sure of myself. My memory seems to be intact, along with my ability to learn and adapt. I’m going to go with the “I just don’t care as much about things as I used to; I’m more sanguine about life, work, and the need to control everything.
At any rate, I’m having a lot of fun. I was once partnered with two CPAs, doing royalty accounting for some big acts: Jackson Browne, Joni Mitchell, The Cars, Dollie Parton, Ronnie Milsap, The Commodores, even Jimi Hendrix’s estate. I learned a fair amount about accounting back then, and now I’m getting the opportunity to revisit what I learned, applying it in different circumstances. I’m also learning about artificial intelligence and machine learning, and hope to convey some of what’s going on in these fields. Although not a data scientist, I am quite capable of seeing where AI can be applied in business to assist with all kinds of issues. I’m sure you can as well.
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.
When I was in High School (1962 – 1966) it took me three and a half years to escape) there were no computer classes. Although there seems to be some disagreement on when the first personal computer was invented, even the earliest claim puts the date six years after I graduated. There was no such thing as a computer, let alone a programming or coding, class. Also, I did not attend university and, to my recollection, nobody I knew at the time was interested in computers or information technology. Actually, I was a terrible student and wasn’t interested in much of anything by the time I finished High School.
The IBM Memory 50 Typewriter
Fast forward to 1974. Despite having no undergraduate education, I was able to secure admission to an accredited Law School, located not far from my home in the San Fernando Valley. I began in the fall of 1973 and the following year I managed to get a job in the law office of a sole practitioner in Beverly Hills as a legal secretary/law clerk. Shortly after I began, the lawyer I worked for purchased an IBM Memory 50 Typewriter. I attended a one-day class where I learned how to use it. This was my first introduction to anything resembling “computing.”
The office later upgraded to an Artec Display 2000, which had an LED readout of approximately 30 characters. There was no CRT display. It used two 8″ floppy disks and had a document/data merge capability that made it perfect for boilerplate documents, e.g. Pleadings, Interrogatories, Summonses, etc. It was a great leap forward in word processing.
The Family’s Wholesale Food Business
Shortly after graduating from law school I had, for numerous reasons, decided spending the rest of my work life around the judicial system was not something I really had my heart in and, after much gnashing of teeth and going over my alternatives, I decided to join my family’s wholesale food distribution business. One large factor in making this determination was my father suffering his second major heart attack. The business was supporting my mother and my sister, who was only 10 years old at the time. I felt the need to help the business grow, ensuring they would be taken care of if my father were to die . . . which he did eight years later.
Our company jackets. Logo design by me, jackets created by Cat’s Pyjamas.
After a couple of years, the business had grown substantially and, given my desire for another type of challenge, I once again struck off on my own. I dabbled in a few things, then joined forces with a couple of CPAs and formed a royalty auditing business, serving some very high-end artists. The company first purchased an Apple computer (I can’t recall if it was a II or a IIe but, based on the release dates of the two, I’m inclined to think it was a II). We later purchased a Northstar Advantage, which used the CP/M OS and two 160 KB, 5.25″ floppy disks. We also purchased a dot matrix printer and, in anticipation of taking the system out on the road, we had Anvil make a hardened case for the two, with room for cabling, paper, and instructions to be packed inside.
At that point our audits required us to visit the artists’ recording companies, and my first visit was to RCA records in the Meadowlands of New Jersey. Standard procedure for the record company was to stick us somewhere that was relatively uncomfortable, then bring us stacks of paper, which we then transferred to ledger pages. Upon returning to our office in Playa del Rey, we would then have to transfer all the data to a spreadsheet; we were using SuperCalc on the Northstar Advantage, though we had started with VisiCalc on the Apple.
I suggested taking the computer with us when we performed audits, so the people who went out on the road could enter the numbers they received directly into an electronic spreadsheet, thereby saving a huge amount of time and stress. We were also using WordStar at the time for writing the narratives that would accompany our audit analysis.
My first experience with programming came when we were contemplating taking the system out on a European tour with Neil Young. I sat with my friend and partner, who had performed many a box office reconciliation, and we sketched out the different scenarios that were used to close out the night’s receipts. Doing so required the use of nested “if” statements, which determined the precise equation to use for each venue. Unfortunately, that same friend who had worked so diligently with me to create the formulae that would power the spreadsheet never felt comfortable with using it by himself and it never went out on the road.
My Very First Computer, the Sinclair ZX81
It was also around this time I purchased a Sinclair ZX81, which was a small computer that had a membrane keyboard and used a cassette recorder to save programs on. It also had its own OS, as well as its own version of Basic, which I endeavored to learn. The first program I wrote, which took me all night to complete, counted down from 10 to 0, in the center of the screen. It then plotted a single pixel (resolution was 64 x 48) at a time, starting from the bottom and, after reaching a height of six pixels, began plotting another pixel above the previous six and erasing a pixel from the bottom of the stack, until it left the screen at the top. This required me to learn how to use either (I don’t recall the exact commands; it’s only been a little over thirty-five years) nested “if” statements or “do while” commands.
Fast forward to 1984, the year my father died. Shortly afterward, I returned to help my brother keep the business going. We purchased a more advanced Northstar Advantage, which had a huge hard disk that could store 5MB of data! At the time, we also purchased a copy of dBase II, which was one of the first database systems written for microcomputers. I taught myself how to write systems using their programming language, which I wrote using WordStar. I wrote an entire accounting system for the business. My favorite component was the preparation of a deposit ticket, where I laboriously emulated the workings of a calculator in allowing for numerous methods of inputting dollars and cents (whether or not a decimal point was included) was the real differentiator and sticking point for me but, after much trial and error, I figured it out.
Unfortunately, my brother and I didn’t see eye-to-eye on the direction the business should go in and, after a while I left again, this time taking temporary jobs to keep me afloat. It was during this time I worked for a while at a litigation support firm that used a DEC minicomputer and several of the earliest versions of the Macintosh. All of my work with computers was novel for me, as I never took any classes — with the exception of that class I took to learn how to use the IBM Memory 50 typewriter. I taught myself how to program through reading and doing, sometimes taking dozens of iterations to get a bit of code correct.
In 1987, I had been working for a company that made hard drives (Micropolis). Their business was highly seasonal and, on one particular Friday, all the temps got summarily laid off. I was using Apple One at the time to send me out on engagements and, thanks to my willingness to show up wherever, and whenever, they would offer me a job, I got a call from them on that very Friday, telling me to report to Rocketdyne the following Monday.
By this time I had been shifting my focus from working under the hood, to figuring out how to best use the systems and tools that were rapidly evolving as business tools. I was beginning to focus more on business results with whatever was available. My first responsibility at Rocketdyne was to enter text I received from Engineers into a document called a Failure Modes and Effects Analysis / Critical Items List (FMEA/CIL). It was in direct support of recertifying the Space Shuttle Main Engine (SSME) for eventual return to flight after the Challenger disaster.
SSME Hotfire Test
It was a strange task, as the document was clearly text-based, yet we were using a spreadsheet to create it. I suppose it made some sort of sense, as the company was an engineering company and that’s kind of how engineers see the world; in numbers, rather than words.
I also worked with a stress engineer on creating an app (we didn’t use the term back then, but that’s what it was) that could be used to predict crack propagation and its effects. I was unfamiliar with the equations behind the program, but my job was to use dBase II to create an interface that allowed for data input and crunched the numbers. It was fun and was successfully used for some time after that.
One year after joining as a temp (referred to as a “job shopper”) I hired in full-time and began working with the Flight Ops team. It was exciting and I spent much of my time massaging telemetry data from hot fire tests of the SSME. I received flat files from a Perkin-Elmer mainframe and eventually ported the data to Microsoft Access, which allowed for further massaging and reporting.
In October of 1988, a little over eight months after hiring in, the U.S. Space Program returned to flight with the successful launch of Discovery. At a celebratory event that evening I met one of the managers of the Program Office. As we talked and he discovered my background, he offered me a job. I did some research and talked to my current managers, who advised me to take it, which I did. As time went on, I moved further away from anything resembling coding and, eventually, wound up concentrating on the use of software and computing tools to increase the effectiveness of me and my colleagues.
Not quite 22 years later, I took an early severance package (which was offered to everyone over 60) and retired. I would turn 63 less than a month after leaving the company. In 2015, I returned as a contractor doing something I had done nearly 20 years previously. I spent the next two years (until February 17 of 2017, to be exact) providing program scheduling for two small rocket engine programs.
Last month I turned 70. I recently signed a referral partnership agreement with an organization I worked with a few years ago. They specialize in machine learning (ML) though I was unaware of that back then. My primary responsibility will be selling their services and, when possible, any product they may create. In order to be effective, I am now studying statistics and ML, partly to better understand what it is I’m selling and partly because I’m fascinated by the algorithms that power these efforts.
I do worry that my comprehension is somewhat hampered by, if not the years, the considerable mileage I’ve managed to accumulate. There’s also a minor problem with my “just don’t give a shit” attitude about a lot of things. Nevertheless, I will persist. I intend to share what I’m learning but, as with most things these days, it may be sporadic and somewhat unfocused.
I do believe machine learning is going to drastically change just about everything humans do and I’m well aware of the disruption it might entail. I don’t however, believe that to be a show stopper. We’ve opened Pandora’s box and there is no closing it. Let’s roll!
Having worked with Dr. Pratt and her company, Quantellia, I have long been convinced their approach to decision making is one of, if not THE, best methodologies I’ve encountered. After what I consider to be one of the most disastrous general elections in my lifetime, it would seem we need help in navigating the complexities of the world and our place in it. Lorien’s work can, I believe, help us understand the consequences of our decisions, before we make them. I urge you to watch this video and become more conversant in the issues Dr. Pratt raises. What follows below the video are some of the “liner notes” that go with her TEDxLivermore talk.
Making decisions based on invisible inputs is like building a skyscraper without a blueprint. Yet that is the norm, even for very complex problems. Contrary to how most of us think about making a decision as being the act of choosing, a decision is the last piece of a long, almost completely invisible, process. The good news: it is possible to make the invisible part of decisions visible.
In working with the Community Justice Advisor Program in Liberia, Africa, Lorien and colleagues helped The Carter Center (founded by Jimmy and Rosalynn Carter) use decision models to increase positive outcomes in the domain of civil justice, by identifying the most effective levers for change.
Using deep learning artificial intelligence, the interconnections between inputs become visible, and unintended consequences can be identified before implementation. Vicious cycles can be reversed, and virtuous cycles of improvement can be built in place and nurtured through intelligent decision metrics.
As co-founder of Quantellia, Dr. Lorien Pratt co-created the decision intelligence methodology and the company’s award-winning World Modeler™ software. She consults and speaks worldwide, and is known for her neural network research and the book Learning to Learn. A former college professor, Pratt is widely known as the former global director of telecommunications research for Stratecast, a division of Frost & Sullivan. A graduate of Dartmouth College and Rutgers University, Pratt holds three degrees in computer science. She received the CAREER award from the National Science Foundation, an innovation award from Microsoft, and is author of dozens of technical papers and articles.
This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at http://ted.com/tedx
My Favorite Representation of What The Dialectic Represents
I am not an academic. Neither am I a philosopher or a journalist. Nevertheless, I do write on occasion and make an effort to share my thoughts in a somewhat coherent manner. I have to admit it’s gotten a little bit more difficult over the last few years, what with Twitter, Facebook, and other social media apps, platforms, and sites, slowly turning me into a scattershot reader of content.
My goal for the foreseeable future is to reverse that trend somewhat and spend more time writing and sharing my thoughts, perhaps some of my dreams, and a few (or more) of my memories. I’ll be 70 years old next June and, in mid-April of next year, will have outlived my father by a decade. Although relatively healthy, I do have my share of ailments that seem to come to everyone eventually: Mild Hypertension; Type II Diabetes (though, thanks to Fitbit and a little willpower made easy by the data retrieved from my Aria scale and Charge HR (link is to their latest version), I’ve lost a little over 30 pounds in a little over a year — and it’s had its salutary effect on my blood sugar); surgery for a Melanoma; Dupuytren’s Contracture; trigger finger; and a bunch of weird-ass nerve issues that are making many reaching movements with my hands problematic. In other words, I’m doing pretty good for an old guy.
I’m hoping to live long enough to share a little of the adult life of my children, who are currently 15 and 13, but there’s no way to know if that will happen. A lot of folks around my age have been dying off lately, and I can feel the inexorable decline of my physical strength, stamina, and overall health accelerating as I age. It’s a strange trip, I must say. Sometimes I worry a bit that I’m paying too much attention to the end, but I have always been one who has enjoyed the ride and I’m not really too concerned with its conclusion. I just happen to be fascinated by the concept of nothingness, which I contend is nigh onto impossible for we humans to comprehend. I also believe it is a big part of what has long attracted people to religion; they need to believe there’s some sort of consciousness after they die. I don’t believe that’s possible.
As someone who has embraced (if not always lived up to the practices inherent in doing so) Systems Thinking, I long ago came to the conclusion that the philosophy of Karl Marx and Friedrich Engels, Dialectical Materialism, is the framework from which systems thinkers can best view the development of the natural world which, of course, includes human beings and our social constructs.
In that regard, I thought I would share this compilation of the elements of the philosophy, as culled from the works of Vladimir Ilyich Lenin, one of the world’s clearest explicators of the work of Marx. Here are the 16 elements I’ve been able to find. I once had a slightly shorter version, which I had printed out and displayed at my desk. Several years before I retired, someone had the audacity to take it down from the wall, rip it in half, and leave it on my seat. I’ve never quite understood the cowardice it takes to do something like that but, no matter, the words — and the concepts they represent — can’t be erased quite that easily. Here’s the list:
Summary of Dialectics
Vladimir Ilyich Lenin
The objectivity of consideration (not examples, not divergences, but the Thing-in-itself).
The entire totality of the manifold relations of this thing to others.
The development of this thing, (phenomenon, respectively), its own movement, its own life.
The internally contradictory tendencies (and sides) in this thing.
The thing (phenomenon, etc.) as the sum and unity of opposites.
The struggle, respectively unfolding, of these opposites, contradictory strivings, etc.
The union of analysis and synthesis — the breakdown of the separate parts and the totality, the summation of these parts.
The relations of each thing (phenomenon, etc.) are not only manifold, but general, universal. Each thing (phenomenon, process, etc.) is connected with every other.
Not only the unity of opposites, but the transitions of every determination, quality, feature, side, property into every other [into its opposite?].
The endless process of the discovery of new sides, relations, etc.
The endless process of the deepening of man’s knowledge of the thing, of phenomena, processes, etc., from appearance to essence and from less profound to more profound essence.
From coexistence to causality and from one form of connection and reciprocal dependence to another, deeper, more general form.
The repetition at a higher stage of certain features, properties, etc., of the lower and
The apparent return to the old (negation of the negation).
The struggle of content with form and conversely. The throwing off of the form, the transformation of the content.
The transition of quantity into quality and vice versa.
As I said, I am hardly a philosopher; merely a person who has found Materialism, whether it be Dialectical or Historical, to be the best method available to understand history and the development of society without — and this is important — the intervention of the supernatural. I try to apply this type of thinking to everything I ponder, but I do fall short at times. I, like most of us, am a work-in-progress. More to come.
Transforming Big Data Information into Deep Data Insights
Yesterday I posted a question to several of the groups I belong to on LinkedIn. It was related to several of the things I’m interested and involved in: Systems Thinking, Knowledge Management, and Decision Modeling. It was somewhat informed, as well, by an article appearing in the Huffington Post, where Otto Scharmer, a Senior Lecturer at MIT and founder of the Presencing Institute, talks about the need to make sense of the huge and growing amounts of data we have available to us. He argues the importance of turning from “Big” data, where we mainly look outward in our attempt to understand what it is telling us about markets and our external influence, to “Deep” data, where we begin looking inward to understand what it’s telling us about ourselves and our organizations and how we get things done.
The question I asked was designed to seek out capabilities and functionality that people would like to have, but that is currently unavailable. My interests include working with others to understand and provide for those needs, if possible. I thought I would present the question here as well, where it will remain a part of my online presence and, hopefully, might elicit some useful responses. Here it is:
With the growing proliferation and importance of data — a development at least one author and MIT Lecturer has suggested is moving us from the information technology era to the data technology era — what tools would you like to see become available for handling, understanding, and sharing the new types of information and knowledge this development will bring?
In other words, what would you need that you don’t have today? What types of technology do you think would offer you, your colleagues, and your organizations a greater ability to make use of data to bring about a transformation from primarily siloed, outward looking data to collaborative, inward looking data as well?
I would love to hear of any ideas you might have regarding the kinds of tools or apps you could use to better deal with data by turning it into useful information and knowledge . . . perhaps even a smidgen of understanding and wisdom.
Once I started blogging, which was quite some time ago, I became an author. Truth to tell, I’ve been something of an author virtually all of my life. I just haven’t ever thought of it in terms other than how it served whatever organization I happened to be working for. Whether it was writing advertising copy for my family’s business or my cousin’s wine store, publishing a newsletter in exchange for free range balls and rounds of golf at Simi Hills (that’s how I could afford to learn, starting at 46), or producing a monthly newsletter for the Knowledge Management team at Pratt & Whitney Rocketdyne, I’ve been an author for a lot longer than I give myself credit.
Now that I’m planning on ramping up my writing efforts, including offering my services as an editor and proof reader, I’m starting to think a lot more in terms of what it takes; what my mentality needs to be. I’ve started contacting my connections, the people I got to know over the past six or seven years that I was very active in Social Business (formerly called Enterprise 2.0) and social media in general.
One of the folks I contacted and have communicated with is Nilofer Merchant. She recently authored this great post and I think you should read it. She makes some very interesting, important, and accurate (IMO) points about the way we treat authors . . . and artists in general (in my opinion). Here’s an excerpt:
No one knows how to support an author. So, every author feels slighted. And every friend is simply … stumped.
This is because we lack the social conventions for how to support authors. If an entrepreneur shares aKickstarter campaign, you break out the Paypal account because, of course, you want to help someone pursue their passions. If a colleague is doing a breast-cancer walk or leukemia team-in-training run, you know what to do. If a friend loses a parent, you know to send a card or flowers. If someone shares they are having a baby, you slap the dad on the back, wish the new parents luck (and sleep), and find some ridiculously cute outfit to gift.
But what to do when a friend, or even someone you know only on Twitter publishes a book? What if you don’t care about this topic? What if you think you have that domain covered since, you too, are an expert. What if you are just not a reader?
It is perplexing to know what to do since are no norms, mostly because being an author is rare. And – while most people would never want to admit this in public – they would rather be jealous of another person crossing off a bucket list item rather than get excited for them or support them.
But authors do need your help. They need it is small ways and large and since I have several great friends with books in the near future – books worth reading and supporting, I’m going to write a primer for how to support an author.
If you’d like to read further, her suggestions – and the rest of her post – are here. I have to admit being guilty of this myself, though I have purchased far more books than I’ll ever have the time to read . . . unless I become bedridden, and I’m not exactly hoping for that. Help an author. Buy their book. I’m expecting to be begging you on my behalf soon.
I joined Twitter on March 2, 2008; 1678 days ago. I know this because I asked the Internet when I joined. I kind of remembered, but wanted to be sure. I just typed into Google “When did I join Twitter?”. Actually, I didn’t have to finish my sentence. Google finished it for me. I was presented with the following link, http://www.whendidyoujointwitter.com/. I put in my user name and in less than a second I had my answer. A short while later I remembered HootSuite knows when I joined and shares that info quite easily as well. Oh well. It’s good to have choices, eh?
The University of Twitterville
At the time I joined I was working for a rather large aerospace company (Pratt & Whitney Rocketdyne, a division of United Technologies), where I had been a member of the Space Shuttle Main Engine team for nearly twenty years. My job at the time, which had changed considerably over the years, was to seek out new technologies for communication and collaboration and determine if we could use them internally to our advantage. I don’t recall when I tweeted for the first time and I just tried a whole bunch of applications which purport to reveal that initial tweet, but none of them can handle the number I’ve made (18,036 at the moment). My recollection, however, is that it took me nearly six months until I was able to figure out a use case that made sense.
I was never interested in following celebrities and I wasn’t interested in small talk. I was looking for how Twitter could be used for a business to help its people get their work done efficiently and effectively. I think one of the first actual uses I encountered that impressed me was my discovery the team preparing one of the Shuttle Orbiters for its next launch were using it to share status updates in real-time. I had been part of teams that had “stand up” meetings every morning to update each other on the previous day’s activities. These were hugely wasteful exercises made necessary by the limited communication capability at the time. There were many days when only 20% or less of the team needed to be at the meeting, but there was no way to know that until it was over.
With Twitter, I imagined the NASA team being able to follow each other and share their status immediately. The value to this could be, in my estimation, enormous. For instance, if a team member was offsite picking up an item that another member of the team needed to continue working on a particular task, the knowledge that it would be available in four hours could allow them to start a task, knowing that the upstream portion of it was now complete or that a needed component for finishing that task was on its way. There are all kinds of scenarios where not having to wait until the following day saves time. There’s also something to be said merely for the value of one-to-many communication capabilities, which is one of the many value propositions of Twitter.
Unfortunately, I could never get anyone at Rocketdyne to experiment with Twitter as a communications tool, so I had to look for another use case; one that benefitted me but might have broader implications as well. So here’s what I, personally, got out of Twitter and why I think it is so valuable. One of the first people I started following was Tim O’Reilly (@timoreilly). He had written what I found to be the seminal paper on the transition in the Internet from a one-way, broadcast medium to a multi-path, participatory medium. It was entitled “What is Web 2.0“, and reading it had been one of the more enlightening reads of my career. If you haven’t read it, I recommend it highly.
It wasn’t long before I was following quite a few thought leaders. What made all this so incredibly valuable was not merely being able to read their pithy tweets, but also being able to read the papers, columns, and blog posts they provided links to. Thanks to link shortening services like tiny.url and bit.ly, a very long URL could be shortened to less than 25 characters, allowing the author of a tweet to not only share the link, but also to provide a little information on what the subject is. This made it easy to determine if something was going to be of interest to me.
Although I hold a professional degree (Juris Doctorate) and a Masters degree (in Knowledge Management), I am largely an autodidact; a self-learner. I never went to undergraduate school and got into Law School on the strength of my LSAT scores, which I am reasonably certain were high based on my being self-taught and, therefore, fairly well rounded and well educated. I barely made it out of high school, taking an extra semester to finish enough credits to be able to graduate. I’m a lousy student, but a powerful, self-actualized learner.
In my opinion, perhaps in large part because I’m already someone who learns on his own, I found the things I learned – the education I got, if you will – from Twitter was every bit as valuable and useful as what it took for me to get either of those advanced degrees. In some ways I’m pretty certain it was actually better. It was certainly more pleasurable because it was done entirely on my schedule and nothing I studied was superfluous. I can’t say that of any other educational experience I have had in my entire life.
My experience with Twitter, therefore, is analogous to having gone to University; one of my choosing, taught by people I admire and respect, and studied on a schedule completely of my choosing. Tests came in the form of real-life applications both on-the-job at Rocketdyne and in various interactions I had with professional and other organizations and people. I am very grateful to be a proud graduate of the University of Twitterville.
Has Twitter affected you in any appreciable, useful way and, if so, what was it?
Since my presentation to the American Oil Chemists’ Society at the end of April, I’ve been seeking out other engagements to talk about using social media for managing communities within an enterprise. All of my experience heretofore has been inside the firewall of a large (very large) aerospace corporation, and it was the essence of my presentation to the AOCS.
I haven’t been actually hustling engagements; rather I’ve just been suggesting I’m available and that I might have something worthwhile to say. Today, nearly four months later, I finally had the opportunity to present to an organization that could use social media to improve their ability to achieve their goals, which are manifold – but not commercial.
The organization I spoke with today is a local Rotary Club that has two major fund-raisers each year. Originally, I had spoken with my friend and former Manager who, since retiring, has joined this Club and had suggested I might present, about the one I gave to the AOCS. However, after having dinner with the President of the Club it became clear he wanted to at least partially address the difficulty he’d been having with getting the membership to “like” their Fan pages and join and engage with their group page.
So . . . I put this together somewhat hastily and concentrated primarily on the benefits social media provide for communicating and sharing knowledge, as well as addressing the issue of reluctance to participate. I finished with a little info on how its use is disruptive and pointed out how they could use Clayton Christensen‘s concept of Jobs-to-be-done (disruptive innovation is one of his as well) to address the direction they might take their new efforts in.
I also prepared the presentation exclusively using Google Docs; the first time I have ever done that. The only exception is that I imported a couple of slides from my AOCS preso, which I originally prepared using PowerPoint. I also heavily annotated the slides, which I do not normally do, and printed out a copy of them and the notes. However, I did not use them during the presentation. Once I got going I just winged it, which seems to fit my style perfectly. Having the notes kept me from being nervous, but turned out to be mostly superfluous. I only experienced one moment when I couldn’t think of the right word I wanted to make a point, but it came to me reasonably quickly.
So . . . here ’tis. I don’t know how intelligible it is without the notes. Especially considering I made these slides last close to 25 minutes, I believe. I guess having a long history and lots of stories comes in handy when you tend toward loquaciousness. 🙂
One more thing. I uploaded the .pdf to Slideshare in the early evening and shortly afterward received an email from them that my presentation was the most talked about one on Facebook (where I had shared it) and so they were featuring it on their home page. Frankly, I didn’t see any evidence of the discussion, but the preso had been viewed close to 180 times last I looked, so maybe I’m getting some traction there. Hope you enjoy it.
I completely forgot I had posted this over a year and a half ago. I never actually posted it here, but did post about it and provided a link to it at Content Management Connection. Despite the passage of time since I did post it, I don’t really think much has changed, but I’ll let you be the judge of that.
PS – Click here to see an up-to-date graph and some regional data as well from Google Trends.
Knowledge Management vs. Social Media Searches via Google
As a result of two tweets I just read; one from @SameerPatel and the other from @ralphmercer, I wanted to get a thought down before it recedes forever into the darkest corners of my brain, where I know I will feel the remnants of its presence, but will also never be able to fully recall it.
Based on something Sameer said I went to Google Trends and searched on the terms “Knowledge Management” and “Social Media”. In the past almost two years, with the exception of a large drop at the end of 2009, and a slight dip at what looks like the end of June in 2010, Social Media searches have been steadily increasing. During that same time period, searches for Knowledge Management – which are now less than a fifth of the searches for Social Media have remained arguably steady, with perhaps a bit of a continuous waning.
I suppose some would suggest this portends the eventual death of KM, but I really don’t think that true . . . or even possible. KM has always been based on the belief that we humans are unique in our ability to pass knowledge on to others, as well as to collectively create new knowledge and retain it for future use.
As I had suggested to Ralph, and what he was kind enough to point out in his tweet, is the reality that it’s “very expensive to reacquire knowledge”. This isn’t something anybody wants to do, anymore than they want to produce re-work or scrap. Yet people seem to be mulling over the viability of KM for the future.
I think the reality is two-fold. First, the need for sharing and re-using knowledge or information continues as strong as it’s ever been. What it’s called is of little consequence and, if KM has gotten a bad rep, then let’s move on and call it something else.
Second, I believe a lot of what we mean when we refer to social media is actually the next iteration of KM, insofar as it enhances collaboration, sharing, finding out what others are doing, etc., as well as captures and makes available collective knowledge and wisdom.
So, what do you think? Has KM run its course, or is it just taking on a new “identity” in the form of social media and (something I don’t think I mentioned above) Enterprise 2.0?
Since my retirement from Pratt & Whitney Rocketdyne in 2010, I have spent quite a bit of energy on developing work as a social media marketer for small business, a business manager for an AI software development firm, and as an editor/proofreader for a number of business books and a couple of novels, as well as a two-year return engagement at Rocketdyne from 2015 to 2017.
I have decided to stop actively pursuing business in these fields and am now positioning myself to be a writer. I have done quite a bit of writing over the years, but I’ve never really attempted to make any money at it; at least not specifically. I’m starting out with a couple of memoirs and, currently, I’m studying the craft, creating a detailed outline and timeline, and honing my skills as a storyteller. Pretty sure I’ll be writing some fiction as well.
The views expressed herein are those of the author. Any opinions regarding the value or worth of particular business processes, tools, or procedures, whether at his former place of employment, at a current client's enterprise, or in general, are his responsibility alone.