Archives For November 30, 1999

Definition: Post-TruthA phenomena found “after the continuous use of facts & experts derived from “for hire” sources to bolster seemingly outrageous arguments where the public (Electorate) switches off its acceptance of any facts, figures or “truths” and now consciously wants to be deceived (its new comfort zone).

Definition: DecisioningThe art of decision making. A combination of Facts, Evidence, Decision Science, Gut & Instinct. How each is weighted greatly affects the accuracy of the decision.

*Body: For several decades now, Business, Government & Non-Profit Leaders have been pursuing the common goal of Fact (Evidence) based Decision Making. What started out as the notion of Decision Support in the early ‘80’s, soon moved to the emerging field of Decision Science in the ‘90’s & beyond. Decision Science (a widely recognized branch of science) is where Data, Analytics, Algorithms and Decision Theory coalesce into a formalized discipline for Decisioning*. It’s use can be found across many geographies, within all sectors in small & large Organizations. The “Data-driven Cultures” created in these Organizations are much more pervasive than those who simply embrace the marketing term “Data Science” which seems to be focused exclusively on “self-aggrandizement & data wrangling”.

In recent times however, as Decision Science has become much more mature and widely adopted, we find that it has run head-long into the buzz saw of Politics where Data, Facts, Evidence and ultimately the Truth are bent, twisted & broken to fit the needs of ideologies, platforms and agendas in respect to achieving outcomes which are “counter-factual”. One only needs to examine the three most recent Elections/Referendums in the UK, as well as the current US Election cycle, much less the current Brexit negotiations (or the EU Phony War if you rather) to appreciate just how much of a Post-Truth World we have now entered.

In today’s Post-Truth World, not only are stated facts meaningless i.e. lacking in veracity, but the pursuit of the Truth has become derided by many.  The arc of this effect has reached the point where the majority of the Electorate are now demanding that it be lied to by its figureheads so as to constantly reinforce its own particular ideology in spite of the reality around it. This is a clear threat to every democracy around the world where an informed, much less literate, Electorate is required to provide checks & balances to government overreach, much less holding them to account in respect to delivering the services & protections that society demands. For someone who has just arrived on Earth and is observing this effect first hand they might ask; “Are there any real differences between so-called Democracies and Authoritarian Regimes?” These effects are no less profound in the Commercial and Non-Profit Sectors where we constantly see “Dubious Data, Questionable Facts & Outright Lies proffered by Executives, spokespeople and PR hacks.

How should we cope with this challenge?

 First and foremost, wherever your role lies in the data, information & analytics supply chain you cannot abandon your mission to deliver the highest-quality information & insights in support of Decisioning at every level. You must insure that strong & independent Data Governance & Data Ethics bodies are in place and their guidance is employed by all practitioners and consumers of these deliverables and that regardless of the outcome, the Facts stand on their own merits (subject to peer review and A/B testing, etc.). Only by creating (if not already established) a bedrock data foundation for Decisioning, built on transparency, veracity, lineage, proven rigors & pristine quality can a platform for the “Truth” be achieved, much less maintained. It is critical that as the Post-Truth paradigm plays itself out that this foundation for the Truth be maintained and protected at all costs. The old adage that the “first victim in war is the truth” applies to everything in the Decisioning Supply Chain and those who support it, much less rely on it, must be ever-vigilant to protect its transparency.

Each of us will be challenged to maintain our individual (much less collective) sanity during the course of time that this Post-Truth era plays itself out. We may sound more barking mad at times than those who embrace the Lies and Deception, but this will pass as well. One day when the Light of Truth returns we will be rewarded for beings its stewards, but until then we must “keep buggering on” (KBO as Winston used to say).

* A version of this posting appears in the October 2016 issue of Information Age (www.information-age.com)

Preface:

Governments cannot embrace, much less promote Big Data, Open Data, Analytics, Machine Learning & Ubiquitous Algorithms without protecting the Citizens’ whom they work for. Social Engineering must be by choice, not by default through illiterate political leaders.

Body:

The UK Government as part of its “Digital Economy” initiative has just released with great fanfare the “Data Science Ethical Framework”. Its ministerial champion has characterized it as “harnessing the Progressive power of Data Science while protecting the Public”. It does neither, but clearly illuminates the lengths to which the UK Government (along with others) will go in trying to influence/dictate behavior in areas where they have no literacy at all in respect to understanding the underlying capabilities (Data, Analytics & Algorithms), nor the consequences of the harm (or actual good) that can come if left to their own devices. Not to be left to a footnote however, is the fact that these attempts at behavioral influence do not apply to the Intelligence community or Police services, both of whom want unlimited powers to surveil, gather data on everyone’s daily lives (and perhaps thoughts) and to then use these to ultimately predict behaviors i.e. The Snoopers Charter.

Ever since the notion of Big Data has come onto the scene, many have extolled its virtues in changing the world as we know and understand it. They have hyped with a zeal not previously seen the notions of Data Science, Data Scientists, Algorithms & Machine Learning, etc. Virtually all of them have advocated for its wide-scale use to analyze and predict citizens’ behavior in order to gain deeper insights, without any controls as to “just how creepy” this activity could get in terms of interacting with the public at large. Any attempt to limit the “how and where” Big Data & Analytics should be applied was met by the fury of these same advocates who characterized it as “stifling economic growth and wealth creation”. Not surprisingly, most advocates have been highly influential in getting Governments to go along with their thinking and to take a “hands off” approach. This has not worked out well for consumers who now see their daily lives dissected, analyzed and ultimately manipulated by the algorithms & machine learning associated with the deep behavioral insights now available to almost every organization who invests in Data & Analytics capabilities.

The backlash that now arisen from this lack of control is significant enough that many Governments have created Ethics Councils and other bodies who have gone on to generate reports & recommendations on the issue of  “Ethics in the age of the Algorithm”. Additionally, these same governments (US, UK, EU, etc.) are also major advocates of Digital and have undertaken major Digital Strategy & Transformation efforts within their countries[1]. These efforts have served to further exacerbate the Ethics Problem that we are now experiencing. A common thread found amongst all of this is the seemingly cluelessness that Government Leaders, Ministers & Civil Servants exhibit each and every time they make an address or pronouncement on the topic of Privacy, Ethics, Governance, etc. associated with Big Data, Analytics, Algorithms, Digital, etc.  Clearly, they don’t understand the underpinnings of the issues, nor the reasons why this topic has become so paramount in the public’s mind and their stated demands that it be resolved to their satisfaction.

Data (Big or Small), Analytics (Creepy or Helpful) & Algorithms (Evil or Good) are major influences in how the Digital World around us evolves, much less serves us. Beyond the well-rehearsed platitudes, there needs to be a fundamental mastery of the details associated with these domains by Leaders & Policy Makers who are ultimately accountable for making Citizen’s lives better, much less protecting them from threats. Without strong & competent Leadership, and controls (governance) , these same citizens will be victimized rather than benefited by Data, Analytics, Algorithms & Digital. The requirement for competent leadership is not a political platform for campaigning on, but a focal point for Government action in order to uphold basic human rights, no matter what pace of transformational change the country is experiencing.

An Ethics Framework that relies on self-governance, best efforts and serendipity to insure that consumer Privacy is protected and that Citizens are not victimized by their own data is a recipe for disaster. Government Leaders must commit themselves to leading at all levels and across all domains. They must be literate and competent in the areas that they promote as catalysts for change and not leave Citizens to the vagaries of Data Science, and all that portends to be.

[1] The UK Government has gone so far as to make the “Digital Economy” a centerpiece of the Queens’ Speech in spite of not being able to come up with a companion “Digital Strategy” that was promised quite some time ago.

  • An edited version of this posting appeared in the June 2016 issue of Information Age (UK) (www.information-age.com)

Preface: 

Let’s face it folks; there are a lot of #Digital phonies & posers out there. Each one has an agenda and it isn’t Digital Transformation; it’s more like Glory Seeking, Self-aggrandizement, Resume building, etc. Buyer Beware!

 Body: In today’s world of Digital Transformation (whatever that actually is) we have seen the rise of what I refer to as “Digital Emperors” who are now setting the tone and demeanor for every digital conversation out there. By definition, Digital Emperors are those in the public & private sectors who are exploiting the digital wave for all its worth in spite of having no real domain knowledge, leadership capabilities or strategic vision. They are politicians, cabinet members, Cabinet Office ministers, civil servants, corporate execs, trade show promoters, digital startups, venture capitalists, etc.  In reality, most are complete phonies or “digital posers” in the parlance of my UK audience, and all suffer from a common challenge; They are Digital Emperors without any clothes!

Genuine (much less competent) Digital Leadership is hard to find these days in any sector, but those who believe that either by title or remit that they are true leaders can be found either at every tradeshow or digital event (TED, SXSW, etc.) espousing their well-rehearsed opinions on “all things Digital”, much less competing for one of the numerous “Digital Leader” awards that are part of the media landscape these days. Few (and I mean very few), actually have anything of substance to say or to herald in respect to actual accomplishments (other than spending billions on transformation projects and getting little in return), but nonetheless all seem to have a cult-like following of sycophants and others who fawn over everything they promise, say or do.  I myself find it all quite nauseating and feel compelled to call out these Digital Emperors.

Across the globe there are major programs in virtually every government to digitally transform services and capabilities provided internally and to their citizens. Many of these programs portend to transform governments themselves using what I refer to as “Digital Transformation by Magic”, a common thought process where a Digital Emperor can simply undo the past and armed with a great PowerPoint and some funding they can create a new “digital future” for everyone overnight. In reality it turns out to be more of a digital “love fest” where everyone spends their time in endless self-promotion and glory seeking while the “group et al” squanders countless fortunes on technology that no one (aka Users) wants anything to do with at the end of the journey.  We have started to see this in the UK already, with the US, Australia, the EU and others no doubt to follow. One of the key critical success factors that all of these programs miss is “engagement” aka Cultural Adoption with those who ultimately use the digital outcomes that they have foretold. An appropriate adage for this is “Culture eats Strategy (and hype) for lunch”.

These programs all seem to feature high visibility in regards to the governments who sponsor them, with numerous photo ops, hackathons & coding weekends, hiring events & meetings (lots and lots of meetings) to discuss their latest accomplishments, but have little self-examination or transparency when things go pear shaped and the finger pointing begins. Much of this is further obfuscated by numerous re-organizations and the rotation of senior players to other agencies. All are plagued by acute attrition, churn and lack of both raw and seasoned talent. In my own experience, everyone wants to be part of a highly visible transformation program (especially Digital), but no one actually knows how to get the job done. We see this in the post-failure analysis that accompanies the crashing & burning of large transformational efforts everywhere.

As I have said before many times; “Transformation is hard and not for the weak of heart”. Successful Digital Transformation is yet to be realized anywhere and having these high risk (high reward if successful) left to the fatuous behavior of Digital Emperors is clearly a formula for disaster.

The Four keys to Digital Transformation success are;

  1. Create a relevant Digital Strategy that serves everyone
  2. Fund it appropriately (with plenty of Contingency for the unknown)
  3. Hire (not appoint) & empower Transformational Leaders & Doers to get the job done
  4. Lock all the Digital Emperors in the palace until the wrap party when the transformation program is successfully completed.
  • An edited version of this blog appears in the May 2016 issue of Information Age (UK) (www.information-age.com)

Definitions:

The Fourth Industrial Revolution: Per the WEF: A Digital Revolution which fuses technologies to blur the lines between the physical, digital, and biological spheres.

Transformation: Per the OED: A complete change in character , nature , etc.

Body: We are early into 2016 and the latest hype-storm has erupted with a fury across the conference circuit (beginning w/Davos), in Government chambers, and across media outlets. It’s the notion of a “Fourth Industrial Revolution”. Everyone seems to be latching onto it with full force (could this be due either to El Nino or the fact that it is a Leap Year?) and yet few seem to be able to clearly articulate what it is. As if we had not heard already everything noble or noteworthy about the virtues of Digital Transformation, we are now being subjected to its big brother. As evidenced by recent Ministerial rhetoric in the UK, the Fourth Industrial Revolution has become central to their own notion of a “Digital Revolution” for the country. And yet, I can’t help thinking that beyond the headlines & platitudes that nobody really knows what they are talking about.

The term Fourth Industrial Revolution has been used for more than 75 years now and is an attempt to capture to state of flux being experienced across many sectors of life (technology, government, economics, education, etc.) as we move into a new paradigm which fuses the Physical, Digital & Biological into a force to be reckoned with in the coming decades. It envisions AI, drones & other cyber-physical systems as part of normal life with technology dominating our world at every turn. At its core is the wave of innovation and experimentation that we have been riding for some time now, only now taken to new extremes. It is what we used to refer to as a Futurist Perspective, but what many now want to embrace as the logical next step forward (Revolutionary, not Evolutionary).

So what’s missing from this equation? Hint: It’s competent Leadership.

Regardless of the numerous advances in Technology on all fronts, we are still challenged by the shortcomings of the current (and perhaps the next as well) generation of Leaders. Whether in the Public or Private Sectors, we rely on people who are not only illiterate in most aspects of advanced & emerging technologies, but do not have a background in innovation or development that would allow them to be visionary (or strategic) in how to apply the constructs of the Fourth Industrial Revolution (nor Digital as far as I can tell) to create competitive advantage or disruptive benefits for consumers or citizens. This is why I bristle every time I hear one of these “Leaders” cheerlead the next great thing in tech or transformation.

We entered a world sometime ago that requires true literacy and competence in digital, data, analytics, AI, etc. by our Leaders in order to be effective in their roles. This extends to our oversight bodies as well (Boards & Regulators) who are just (if not more) ill-equipped to provide effective Governance and oversee Risks. The vast majority of Leaders today do not have the skills or acumen to Lead in the 21st Century and our next generation of Leadership candidates is woefully unprepared as well. The tradition of rising through the ranks based on success in finance, marketing, legal or in respect to ministerial appointments has produced Leaders who are hollow in terms of all things Digital, Data & Analytics, much less anything so futuristic as The Fourth Industrial Revolution. We have to stop focusing on the Feel Good aspects of all of this and hone in on creating competent & visionary Leaders who don’t have to rely on IT, Contractors or Consultants to do their jobs for them.

While the world focuses on Hack-a-thons, teaching children to Code and creating new (false) gods (Data Scientists, CDO’s, etc.), we are ignoring the need for educating & finely honing the next generation of Private & Public Sector Leaders. (Observation: They won’t be app start-up guys). We need to build into all aspects of Primary & Secondary education the rigors of technology exploitation and analytical competencies (e.g. Decision Science). Until we do so, all aspects of The Fourth Industrial Revolution will just be more talk coming from people who don’t know what they are talking about.

 

Note: An edited version of this posting appeared in the March 2016 issue of Information Age (UK) (www.information-age.com)