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Theory #1: HP Strategy was written by Charlie Sheen on Twitter
It is possible that HP’s strategy was written by the Internet’s favorite High Priest Vatican assassin warlock? HP is bayonets, baby–HP is an F18 fighter jet, ready to blow you out of the sky or deploy ordinance to the ground. Having both Windows and WebOS on a single PC is not bipolar, it’s bi-winning, you win here, and you win there. HP is on a drug called WebOS. If you try it once, you will die. Your face will melt off and your children will weep over your exploded body.”#WINNING #TIGERBLOOD The Scoreboard does not lie.
Theory #2: HP Strategy was a haiku love poem written by IBM’s “Watson”
One possibility that this was written by IBM’s Jeopardy playing computer, Watson, as a way to completely subvert and demolish its largest foe, HP. However, this doesn’t adequately explain how this got onto Leo Apotheker’s slides. Unfortunately, the thing that blows up that theory is that you would expect the phrasing to be more consistent. For example “What is Optimizing Traditional Environments Alex”. That would be good for a “Daily Double”. Still, the phrase “Random Number Generator” seems to drift unbidden from the sub-basement when reading the kind of strategy you might expect to find in the left nostril of a wildebeest infected by cryptosporidium.
Theory #3: Leo Apotheker is a freestyle rap artist
A freestyle rap artist can explode the fringes of grammar to discombobulate their opponents. I got so many ways to dis you that I’m playful wit you. By disgorging a rap fiesta of hyperlucid bricolage, they shock and awe their opponents into complete aphasia. This theory is supported by the satire implicit in recombining every buzzword from every software company into a single set of powerpoint bullets. Another supporting point is the tendency for West Coast gangstas to smoke trees. It’s clear from the diction and lexicon that whoever wrote these words smoked many, many trees.
Theory #4: HP’s strategy was written by Miss Teen South Carolina
Apologies to Miss Teen South Carolina.
Theory #5: HP is airing their political dirty laundry in public
This kind of glossolalia is not in fact, computer generated haiku. It is a form of political interplay, where the company uses an external communication platform to address internal political issues. This is also known as “airing your dirty laundry in public”. I think by actually saying something, you might be favoring one division of HP over another.
For example, take “Optimize Traditional Environments“. Hello? Perhaps this is a reference to legacy systems or mainframes. But no, we wouldn’t want to bias the company strategy on any specific product line or business unit, so instead we have to come up with a tagline that would be more suitable for an interior decorator than a 90 billion dollar tech company.
The same explanation applies to “Build and manage cloud architectures“. I mean to be honest, how does one build, let alone manage an “architecture”? The problem solved by this incoherent backwash of polysyllabic combinatorics is that if HP decided to actually build and manage a product or service, the CEO would be again, showing favoritism.
The Winner: Dirty Laundry
Perhaps one of the best recent examples of complex public laundry airing was Carol Bartz explaining “What is Yahoo!” to Michael Arrington. An exceedingly complex answer and one where we can see (the exceedingly politically astute) Ms Bartz stepping carefully through a very complex question in the midst of a company reorganization.
An astute use of external communication can be seen by Nokia CEO Steven Elop and his famous “Burning Platform” memo. Instead of being incoherently political, this statement is focused, brutal and represents a very simple unified perspective. It’s rare when the stars align in such a way, but it’s clear that he’s speaking on behalf of a board-approved strategy.
But back to HP’s strategy statement… Enable Transformation to Hybrid Models is a joyful, bizzare and yet meaningless buzzword bingo that evokes Darryl Hannah’s Pris character in Bladerunner–a sort of transgender fashion runway android.
The whole thing ends with a whimper rather than a bang with Define and deliver the connected world from the consumer to the enterprise. In this context “Define” almost shouts “we dont know what we are doing!” to the world. I mean get real, you obviously have to define something before you can deliver it. But we haven’t defined it yet, so lets get to that first. The whole thing is comically self referential, since the previous sentences are so grammatically and semantically unmoored.
Please don’t take this the wrong way. I mean I’ve had a lot of fun writing this, and certainly at HP CEO Leo Apotheker’s expense. I’m sympathetic to the fact that companies are exceedingly political and complex, and that when those politics are given a voice, the results can be bizzare.
In this case the results read like a machine generated tag cloud sucking from the IT section of Wikipedia. It reads like a high school machine language experiment or the last phases of Dilbert struck by a tragic neurodegenerative disease.
Nuff said, thanks for a laugh.
It’s that time of year where pundits prognosticate about the upcoming year. I’ll bite–MMX (that’s Roman numeral for 2010) is shaping up to be a doozy of a year (although I prefer 7DA, which is 2010 in hex). Last night I decided to re-watch 2010 “The year we make contact”. It’s still an incredible movie and a fascinating way to examine people’s assumptions and predictions about the future. The book 2010 was published by Arthur C Clarke in January of 1982. Some of the striking differences between today and the 2010 imagined by Arthur C Clarke in his book include:
- The radical advancement of Artificial Intelligence (AI) in the form of the HAL 9000 computer
- Substantial investment in Space Exploration including a second manned trip to Jupiter 9 years after 2001, the first trip
- Nuclear conflict between the United States and the Soviet Union, a nation that no longer exists
- Contact between a super powerful alien race and humankind (this might yet happen but time is short)
- Computer User Interfaces are barely better than a dumb terminal
It’s interesting how the predictions often say more about the time of publication and about the author than about the future–in the 1980’s the threat of nuclear war with the Soviet Union, as portrayed in the movie WarGames, which came out in 1983. Of course the advancement in the space program was a fond hope of Arthur C. Clarke, who is certainly a childhood hero of mine in terms of his message of technology transcendentalism and his pioneering science-based fiction.
So with this backdrop, I will venture to make my own technology predictions for 2010, focused on Enterprise Software, Cloud Computing and related topics.
Prediction 1: nothing will happen in 2010
A bold prediction. I’ve already read my share of predictions for 2010 including those from:
- Dave Linthicum (Cloud drives data integration)
- Michael Cote (The internet of things becomes real)
- JP Morgenthal (Cybersecurity will be hot)
- Nenshad Bardoliwalla (Predictive, real-time Enterprise will start to show results)
- A bunch of analysts summarized by Jonny Bentwood (Windows Mobile will fail)
- Om Malik (FaceBook IPO)
- Ravit Lichtenberg (Enterprises will shape Social Media)
- Ken Camp (Ballmer will leave Microsoft(!))
- Ray Kurzweil (Supercomputers will achieve the same raw processing power as human brains)
- Jeremy Liew(Social Gaming goes big)
- Jake Sorofman(IT leaders will tackle IT Complexity)
- David B. Thomas(ROI for Social Media is defined)
- Alex Williams(SaaS Integrations)
- Nancy Weil (Oracle finally nabs Sun)
to name a few…
I’ve listed (in parentheses) some of the predictions made, above. First of all, the predictions I highlighted were the ones I found the most interesting. Aside from the unlikely (Steve Ballmer will leave Microsoft) and the just-plain-crazy (Supercomputers will achieve the same raw processing power as human brains), I can’t say that any of these predictions gets my blood moving. All due respect to those pundits and prognosticators, many of whom I consider my friends and colleagues.
So why won’t anything happen in 2010?
The short version is that big changes that you’d notice take a long time. It also happens that such changes also take a very short time.
If you find the previous statements irritating or conflicting, you are not alone. Big changes in technology and society are frequently driven by exponential functions–and Albert A. Bartlett, Professor Emeritus at UC Boulder (many thanks to my friend @avh for tweeting this video) makes a solid case that “The Greatest Shortcoming of the Human Race is the Inability to Understand the Exponential Function”. If you feel challenged by my previous statements, please take the time to have a look at this video:
As you can see, the exponential function is just a fixed percentage of growth that compounds. Albert Einstein never said “Compound Interest is the most powerful force in the Universe”, but he should have. The exponential function is the fundamental driver of many driving forces and the resulting human impact. This includes:
- human population growth (overcrowding)
- energy consumption (oil prices)
- pollution emissions (global warming)
- transistor density on a chip (computer industry)
- DNA sequencing rate (Human Genome project)
Almost all of the hugely transformational items on any technologist’s list for the Enterprise are going to be growing slowly next year. Service Oriented Architecture(SOA), Business Process Management(BPM), Cloud Computing and others. According to IDC Chief Analyst Frank Gens (@fgens), “2010 will be a year of modest recovery for the IT and telecommunications industries. But the recovery will not mean a return to the pre-recession status quo. Rather, we’ll see a radically transforming marketplace — driven by surging demand in emerging markets, growing impact from the cloud services model, an explosion of mobile devices and applications, and the continuing rollout of higher-speed networks. These transformational forces will drive key players to redefine themselves and their offerings and will spark lots of M&A activity.”
Clearly, things like Twitter (tip of the hat to @ev @biz @jack and the other twitter revolutionaries like @loic @shellen and @pistachio) and Twitterati like @missrogue and of course twitter pundits like @jowyang @enderle @rafe @davewiner @scobleizer @debs @rwang0 @monkchips @dana_gardner and way too many more to mention.
But many of the core transformational topics in Enterprise Computing will be growing at single and double (but not triple) digit rates.
Ok, nothing is going to happen, now what?
We’ve established some very Twitter friendly names for 2010 such as MMX (the Roman) and 7DA (the Geek). But to peer farther into the future we should take a look at the upcoming decade. Every decade has a bit of a “theme” that emerges that you can use for when you have nostagia parties in future years. Here are some examples:
- The Psychadelic Sixties 1960-1969
- The Disco Seventies 1970-1979
- The Yuppie Eighties 1980-1989
- The Internet Nineties 1990-1999
- The Miserable Naughties 2000-2009
Yes, we are good and ready for the Naughties to be over. Bad Naughties, no Krispy Kreme donut (NYSE:KKD)! Lets look back to January 2000.
Back then, wonderful things were happening like AOL was acquiring Time-Warner! The Dow Jones Industrial Average hit an all time high of 11,750.28. Unemployment was at 4.1%. The biggest thing we had to worry about was the Y2K bug, which turned out to be no big deal.
Just a short (almost) ten years later and Time-Warner is divesting AOL, the Dow Jones Industrials are lower, Unemployment is at 10%, and we’re fighting global warming, economic collapse and Al Qaeda. Can I just say that we are all SICK and TIRED of the Naughties, the nothings, the zero decade, the lost decade, the decade from hell.
Predictions for the Teenies
Technically if the 2020’s will be called the “twenties”, perhaps the next decade should be called the “tens”. I’m not keen to focus on the early part of the decade, so I am going to point to 2013 and beyond, which we can refer to as the “Teenies” (2013-2019). If we absolutely must have a name for the interim period, lets call them the “Tweenies” (kids aged 10-12 are referred to as such). A few other reasons why I like Teenies as a name for this upcoming decade is:
- We are an adolescent species, mere teenagers–more on this later
- Growth in this decade will come from “teeny” things
As many forecasters will tell you, it will take a good long time to build our way out of what’s now called The Great Recesssion–and though we are seeing “green shoots” now, it will take a long time, well into the decade to start to see the significant effects. So to be fair, the prediction made earlier that “nothing will happen in 2010″ can be recast as a prediction about the decade as a whole–and in this spirit, lets carry on making some predictions about the Teenies.
Prediction 2: Very Teeny Things Become Very Big
Here’s the short list of very small things that will become very big in this upcoming decade:
- The Higgs Boson
- The Carbon Dioxide Molecule
- Genomics & Personal Medicine
- Implantable computing
- Chlorophyll and Artificial Photosynthesis
- Dehalococcoides ethenogenes and other pollution eating microbes
- injectable nanosensors
- Self-replicating nanobots
Among many others. This prediction is of course very general, but it is intended to provide an impressionistic view on some of the leading advances approaching the boundary of industrial exploitation. In computing in particular, quantum computing is beginning to show promise, as is nanoassembly which is the more bottom-up approach to extremely small circuit design. at the 45nm chip design scale, the fabrication costs are already growing prohibitive. Nanotechnology is also showing tremendous promise in transforming the storage industry.
Prediction 3: Storage and Persistence are transformed
Naturally storage experiences a doubling interval similar to Moore’s law. But we are reaching a significant inflection point, both for the application requirements of persistence as well as the persistence technologies. companies like Steve Wozniak’s FusionIO are pioneering solid state technologies and distributed caching technologies are radically improving performance across traditional APIs according to researchers like Forrester’s @JohnRRymer and @MGualtieri. Companies like TerraCotta and RNA Networks and others are leading the charge. The exciting thing about these technologies is that they are completely disruptive technologies but also backwards compatible with today’s technology APIS, so they can be inserted into everyday applications. Unlike the radical wave of “Complex Event Processing” (CEP) vendors such as StreamBase that require completely rewritten applications (even as they use familiar SQL-like query languages), these solutions provide up to 6 orders of magnitude theoretical performance basis (millisecond disk access vs nanosecond RAM access) over interfaces such as filesystem mount points.
Beyond these advances in software, we see hardware advances such as bottom up storage using nanoscale self-assembly. Ting Xu, a UC Berkeley assistant professor with joint appointments in the Department of Material Sciences and Engineering and the Department of Chemistry, says in the February issue of the journal Science: “The density achievable with the technology we’ve developed could potentially enable the contents of 250 DVDs to fit onto a surface the size of a quarter”. “The challenge with photolithography is that it is rapidly approaching the resolution limits of light,” added Xu. “In our approach, we shifted away from this ‘top down’ method of producing smaller features and instead utilized advantages of a ‘bottom up’ approach. The beauty of the method we developed is that it takes from processes already in use in industry, so it will be very easy to incorporate into the production line with little cost.”
Prediction 4: Just like teenagers, we have trouble getting over ourselves
Despite utopian visions like Star Trek, the “Enterprise” struggles with it’s scale. The Star Trek universe is based on the concept of “Federation”. Daryl Plummer, VP and Research Fellow at Gartner defined Federation as “what autonomy you have to give up in order to be part of something bigger.” This is a great definition as it speaks to organizational silos as well as down to individuals in the Enterprise. I wrote about this challenge both in my blog post “There is no “I” in IT–oh yes there is” and a rational response at the Enterprise IT level in the InfoQ article “SOA Governance Revitalized” (thanks @FloydMarinescu and Ryan Slobojan @straxus)
The Shift Index 2009 (download the abstract here), published by @JHagel shows how poor we are at scaling organization. Since 1965, Return on Asset has declined 75% across US Public Corporations.
We’re not good at federation and scaling organization.
Tribalism is one of the biggest roadblocks to smooth scaling of the provider side of large-scale provisioning of dynamic business applications. What do I mean by “dynamic business applications”? I borrowed the term from @JohnRRymer and his seminal research paper The Dynamic Business Applications Imperative: The Principles Of “Design For People, Build For Change” Will Anchor A New Generation Of Business Applications. How do these applications differ from “static” business applications? I think this was best summarized in my recent tweet:
Even Order-To-Cash is going to require collaboration across Enterprise technology silos and Organizational tribes. The problem of Great-Idea-In-The-Shower-To-Cash requires Enterprise collaboration and continuous measurement, alignment and accountability across organizational boundaries. The problem is, the Enterprise may not be the best place for this kind of innovation. Recall that Enterprises are defined (yeah defined by me in this blog post: Top 5 Definitions of Enterprise) as organizations that require size and longevity in order to pursue their mission. The problem with size and longevity is the production of organizational and technology silos.
This results in a complex IT supply…
What remains to be seen is if organizations of size and longevity (read: fat and old) can collaborate at a rate competitive with smaller (perhaps Dunbar-number-sized) organizations. Christopher Allen (@ChristopherA) has an excellent blog post on organizational size as it relates to Dunbar’s number (commonly approximated as 150 people). These smaller organizations can have simpler IT (such as Cloud Powered) while being able to integrate and meet complex business requirements and form complex value chains. Large organizations will not be able to retain talent during the economic upturn and growth of the Teenies, nor will they be able to acquire and consolidate innovators due to the reopening of the IPO markets and the expansion of Market Capitalization proportional to the growth potential of these innovators.
Prediction 5: Trust will take time to heal
One of the reasons for Prediction 1 is the speed at which trust can be restored to the economy. The principle of exponential growth can be seen as a simple reiteration of the financial principle of Compound Annual Growth Rate (CAGR). However, exponential growth can also be a hiding place for charlatanism and multibillion dollar fraud schemes such as those perpetrated by Former NASDAQ Chairman Bernard Madoff.
The ripple effect is both cause and effect–the collapse of the pillars of the economy produces large scale job losses–which also puts fear and mistrust into the economy. Lets take a look at an animation that graphically depicts this blow to our economy regionally in the United States:
Thanks to Super VC David Hornik (@DavidHornik) for tweeting this video.
Speaking of Venture Capital–these are the people who are investing in exponential growth. Trust is returning to those markets as well with Benchmark’s amazing day thanks to Peter Fenton (@PeterFenton) and RedPoint’s successful IPO of Fortinet. Since the greatest failing of humankind is the inability to understand the exponential function, it is hard to understand how to combine trust with transformation and the unique chemistry that is Silicon Valley.
But at a Compound Annual Growth Rate of only 14% we have a doubling interval of 5 years. And interestingly enough, we are experiencing a much shorter cycle time for technology adoption. It took 38 years for radio to attract the first 50 million users. It took 13 years for Television to hit a similar number of users. 4 years for the Internet, 3 years for the iPod and less than 2 years for FaceBook. So we are very bad at understanding the exponential function and also terrible at federation and scaling organization. But the good news is that we have a tailwind.
My 2 cents,