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Man made software in his own image

Man made software in his own image

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In 2002, a couple of Japanese visitors to Australia swapped passports with each other before walking through an automatic biometric border control gate being tested at Sydney airport. The facial recognition algorithm falsely matched each of them to the others' passport photo. These gentlemen were in fact part of an international aviation industry study group and were in the habit of trying to fool biometric systems then being trialed round the world.

When I heard about this successful prank, I quipped that the algorithms were probably written by white people - because we think all Asians look the same. Colleagues thought I was making a typical sick joke, but actually I was half-serious. It did seem to me that the choice of facial features thought to be most distinguishing in a facial recognition model could be culturally biased.

Since that time, border control face recognition has come a long way, and I have not heard of such errors for many years. Until today.

The San Francisco Chronicle of July 21 carries a front page story about the cloud storage services of Google and Flickr mislabeling some black people as gorillas (see updated story, online). It's a quite incredible episode. Google has apologized. Its Chief Architect of social, Yonatan Zunger, seems mortified judging by his tweets as reported, and is investigating.

The newspaper report quotes machine learning experts who suggest programmers with limited experience of diversity may be to blame. That seems plausible to me, although I wonder where exactly the algorithm R&D gets done, and how much control is to be had over the biometric models and their parameters along the path from basic research to application development.

So man has literally made software in his own image.

The public is now being exposed to Self Driving Cars, which are heavily reliant on machine vision, object recognition and artificial intelligence. If some software of this sort can't tell people from apes in static photos given lots of processing time, how does it perform in real time, with fleeting images, subject to noise, and with much greater complexity? It's easy to imagine any number of real life scenarios where an autonomous car will have to make a split-second decision between two pretty similar looking objects appearing unexpectedly in its path.

One assumes Self Driving Cars (SDCs) will be tested to exhaustion but will it be enough? If cultural bias is affecting the work of programmers, it's possible that testers suffer the same blind spots without knowing it. Maybe the testers never even thought to try out the offending photo labeling programs on black people. So how are the test cases for SDCs being selected? What might happen when an SDC ventures into neighborhoods where its programmers and testers have never been?

Everybody in image processing and artificial intelligence should be humbled by the racist photo labeling. With the world being eaten by software, we need to reflect really deeply on how such design howlers arise. And frankly double check if we're ready to let computer programs behind the wheel.

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Cloud Analytics: What’s Driving Growth?

Cloud Analytics: What’s Driving Growth?

Cloud-based business intelligence, data visualization and analytics options are gaining momentum as the center of data gravity shifts along with apps and services. But be prepared for a hybrid world.

Cloud-based data-analysis was ahead of its time seven to 10 years ago, but as SaaS apps and cloud-based platforms and services have proliferated, businesses are increasingly turning to cloud-based business intelligence and analytics options.

Name a major vendor and you can bet it has a cloud-based service already fueling growth or dominating future plans. At Tableau Software it’s Tableau Online, launched in 2013. Qlik went GA with Qlik Sense Cloud earlier this year. At IBM it’s Watson Analytics and at SAP it’s Lumira Cloud. More recently we’ve seen the headlines about Databricks’ Spark-based Databricks cloud service and Microsoft’s evolved Power BI.

On-premises sources account for the majority of data analyzed in Tableau Online, but cloud sources such as Amazon Redshift and Google BigQuery are growing more quickly.

On-premises sources account for the majority of data analyzed in Tableau Online, but cloud sources such as Amazon Redshift and Google BigQuery are growing more quickly.

A bit of history helps put things in perspective. Over the last decade we’ve seen the CRM category move solidly into the cloud, led by Salesforce and followed by Microsoft, Oracle and SAP. Amazon launched its first Web Services in 2004 and Google followed suite with the Google App Engine in 2008.

With the rise of social networks and digital marketing, yet more data originated in the cloud, and soon, SaaS marketing options like Eloqua and Marketo took off. The state of the art in social insight evolved from crude counts of mentions, positives and negatives to much more subtle, industry-specific understanding of influencers, churn, content interactions and buying triggers.

Smartphones, tablets and mobile apps are piling on yet more data, and the NoSQL databases that typically run these apps are often deployed in the cloud. With so much data now originating in the cloud, is it any wonder that in 2014 Amazon RedShift became AWS’s fastest-growing service ever? No surprise, too, that we’ve seen similar database-as-a-service (DBaaS) offerings from IBM (DashDB), HP Vertica and Teradata.

A few of the earliest cloud BI vendors (like LucidEra, Oco and PivotLink) didn’t survive to see the cloud data gold rush. But stronger survivors, like Birst and GoodData, are now getting a second wind. And no surprise we’re seeing new pure-play cloud vendors emerge, such as Domo and InsightSquared.

Among the services from on-premises vendors, Tableau Online, a multi-tenant service, is now that vendor’s fastest-growing product. Fueling that growth is analysis of data from Amazon RedShift, Google Analytics, Google BigQuery and Salesforce, in that order. But don’t make the mistake of thinking that cloud-based analysis only for data born in the cloud. The majority of data analyzed in Tableau Online is from on-premises sources linked through live database connections, synced through published extracts or uploaded from databases or files.

So what’s the nature of these analyses and how are insights being put into action? I expect to hear more next week when I moderate a July 29 panel discussion in San Francisco on the topic of cloud analytics. On that panel will be executives from Tableau, Google Cloud Platform, Databricks, Birst and Tableau customer Practice Fusion. It’s a small, invite-only event, but event sponsor Tableau is inviting a short list of Bay-area journalists to cover the discussion. I’ll be asking about use cases, tips on correlating on-premises and cloud-based data, analysis approaches (SQL, visualization, machine learning or all of the above?) and how companies are coping with data at scale.

Watch for my Tweets (@DHenschen) on stand-out coverage from the July 29 event, and I’ll follow up with a blog of my own on what’s driving reporting, data exploration, visualization and advanced analytics into the cloud.


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Tuesday's Tip: Apply For A SuperNova Award - Recognize Leaders In Digital Business

Tuesday's Tip: Apply For A SuperNova Award - Recognize Leaders In Digital Business

Nominate A Pioneer Or Leader Driving Business Change

Supernova winners

Every year the Constellation SuperNova Awards recognize eight individuals for their leadership in digital business. Nominate yourself or someone you know by August 7, 2015.

The SuperNova Awards honor leaders that demonstrate excellence in the application and adoption of new and emerging technologies.
In its fifth year, the Constellation SuperNova Awards will recognize eight individuals who demonstrate true leadership in digital business through their application and adoption of new and emerging technologies. We’re searching for leaders and teams who have innovatively applied disruptive technolgies to their business models as a means of adapting to the rapidly-changing digital business environment. Special emphasis will be given to projects that seek to redefine how the enterprise uses technology on a large scale.

We’re searching for the boldest, most transformative technology projects out there. Apply for a SuperNova Award by filling out the application here:

Apply Here

SuperNova Award Categories

Our eight categories reflect the business themes Constellation Research analysts cover for our clients.

• Consumerization of IT & The New C-Suite – The Enterprise embraces consumer tech, and perfects it.
•  Data to Decisions – Using data to make informed business decisions.
•  Digital Marketing Transformation – Put away that megaphone. Marketing in the digital age requires a new approach.
•  Future of Work – The processes and technologies addressing the rapidly shifting work paradigm.
•  Matrix Commerce – Commerce responds to changing realities from the supply chain to the storefront.
•  Next Generation Customer Experience – Customers in the digital age demand seamless service throughout all lifecycle stages and across all channels.
•  Safety and Privacy – Not ‘security’. Safety and Privacy is the art and science of the art and science of protecting information assets, including your most important assets: your people.
•  Technology Optimization & Innovation – Innovative methods to balance innovation and budget requirements.

5 reasons to apply for a SuperNova Award:

• Exposure to the SuperNova Award judges, comprised of the top influencers in enterprise technology
• Case study highlighting the achievements of the winners written by Constellation analysts
• Complimentary admission to the SuperNova Award Gala Dinner and Constellation’s Connected Enterprise for all finalists
(November 4-6, 2015) lodging and travel not included
• One year unlimited access to Constellation’s research library
• Winners featured in Constellation’s blog and weekly newsletter

Learn more about the SuperNova Awards.

What to expect when applying for a SuperNova Award. Tips and sample application.

 

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Nominate your CMO for a SuperNova Award

Nominate your CMO for a SuperNova Award

Honor your organization's CMO or innovative business leader by nominating them for a SuperNova Award. The SuperNova Awards honor leaders that demonstrate excellence in the application and adoption of new and emerging technologies. 

The application deadline is August 7, 2015. 

Apply for a SuperNova Award by filling out the application here: 

APPLY NOW


Lynn Hemans Taco BellSuperNova Award Winner: Lynn Hemans, Director, Industry & Competitive Insights, Taco Bell

Lynn Hemans oversaw an integrated Twitter campaign to drive customer engagement and derive insights from social actions during the launch of Taco Bell's most successful product--the Doritos Locos Taco. The campaign produced insights on which Taco Bell could easily act, and created an avenue for enthusiastic customers to interact directly with the brand and other enthusiastic customers. The actionable insights combined with the social campaign created viral buzz for the product. Upon its launch, Taco Bell sold 200m+ Doritos Locos Tacos in six months.

Prior to the successful launch of Hemans' 'Insights Drive Tactics' campaign in 2012, little emphasis was placed on customer engagement via social. The success of the campaign highlights the need for constant innovation where customer engagement is involved. Successful marketing officers constantly seek out and engage with customers.  

Lynn Hemans won the 2012 SuperNova Award for Next Generation Customer Experience.


 

5 reasons to apply for a SuperNova Award:

Learn more about the SuperNova Awards. 

What to expect when applying for a SuperNova Award. Tips and sample application.  

 


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Duck Intelligence, Think Wisdom

Duck Intelligence, Think Wisdom

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I have exercised my systems of patience, after using my systems of reading to dive into the blog and research published (sorry, posted using their systems of writing, editing, and publication) by Forrester recently.

I had to use my patience not to react using what my daughters call my “catch phrase” — Aw, come on!!

Seriously – is everything becoming a system now? I groaned at the birth of Systems of Engagement (possibly as a potential alter-ego to the forever-there-but-never-named-so systems of record… AKA CRM).  Downright exploded and made my feelings known at the “systems of intelligence” (aka analytics).  But this is where I feel I have to put down my proverbial foot and say enough is enough.

Just like not everything in this world is a platform or part of an ecosystem (as necessary as those are, you cannot turn a 20-year old solution into a “knowledge management platform” just by hiring a new VP of Marketing), not everything in this world is becoming a “system of” something.

In this case, the problem is that the marketing hype surrounding the concept of wisdom (and the rush to be the first one to coin a term – well done, Forrester — you win that one… yay) is clouding a reality.

Knowledge Management is no longer sufficient to power organizations’ quest for business transformation.

We have been trying for over 50 years to manage knowledge with different degrees of success.  We created technology, processes, even a culture of knowledge that was supposed to ensure organizations could corral, manage, and reuse knowledge at the drop of a hat in any instance, at any time, via any channel, integrated into any technology.

Needless to say, it hasn’t happened.  I wrote plenty about this (look at the my downloads page and read some of the series of blog posts I did – or search knowledge management on my blog) and the need to alter the model of knowledge management.  I am a big pusher for knowledge-in-use and communities and try to stay away from knowledge repositories – although I know that virtually no one is following me there…

The recent changes to technologies, information management (which i covered in my last business transformation update), speed of change, and societal changes induced by communities (no, not powered by vendors – more and more people flocking to communities) have made the traditional knowledge-in-storage model almost unsustainable.

Indeed, collecting knowledge for (maybe) later use is no longer feasible for organizations.  While the current systems will continue powering that model for another 2-3 years (up to a decade in some cases) I am seeing a need and demand for something more useful.

Powered by “Systems of Intelligence” (analytics), “Systems of Insight” (seriously?), and more importantly by the failure rate associated with traditional KM implementations in organizations my clients are asking to bypass the concept of KM and instead focus on wisdom.

Before you start screaming, I am not using wisdom in the same way that Webster defines it – but as a model for applied knowledge.  Got a better word? bring it – comment box is below.

Wisdom is what happens when you use knowledge – and what we always wanted our KM systems to do.  It is not just to store an article with an answer, but it is to know how that answer is applied, when does it work, when it doesn’t, and how to find the ancillary information necessary to make it work in the latter.  Not by simply starting a new query – but by associating all the wisdom surrounding that answer (in real time, mind you – as things are changing quite rapidly these days) from all the relevant SME (subject matter experts) regardless of where they are and what they are doing.

There is an old phrase – knowledge is understanding that tomatoes are fruits.  Wisdom is understanding that they shouldn’t go into a fruit salad.

That is likely the easier way to explain the difference.  Or to go back to my title… as odd as it is.

Knowledge is understanding that ducks are unlikely to be a source of wisdom.  Wisdom is to know I wrote that title on my iPhone and autocorrect changed it.

Waddle on to the comments below and let me know what you think… are we ready for some wisdom?

Next-Generation Customer Experience Chief Customer Officer Chief Information Officer

The Re-Positioning of the Major Technology Vendors will be followed by the IT Department having to Re-Position

The Re-Positioning of the Major Technology Vendors will be followed by the IT Department having to Re-Position

As the technology wave relentless refocuses attention around Internet based technologies all of the current leading Technology Vendors have moved to reposition their products and capabilities. The resulting re alignments will also have to apply to IT departments to ensure that they are similarly aligned to both these new product sets, but most of all to the new Enterprise Business internal redesign of operations.

The maturity of Client-Server based technology in terms of its technology elements, leading products, and the manner in which Enterprise Business makes use of its capabilities, has lead to an optimization through specialization within the IT department. This has lead to undoubted excellence in delivery operations of the internal use of IT as a mechanism to reduce the costs of the so-called Back Office internal administration of an Enterprise. However it also introduces the risk of being unable to see and understand these changes that don’t fit the existing specializations.

As an example associating SAP with your ERP delivery unit alone, or any other major Technology player solely with their existing internal IT delivery unit, is a big mistake. The Technology venders know they have to move into a wholly different set of products or services with correspondingly different delivery methods, and have already done so. The danger is that IT departments have not followed these disruptive changes in product sets and capabilities.

A previous blog drew attention to this danger using as, an example, Cisco announcing a new set of capabilities for the Internet of Things, IoT. An announcement that included adding a whole range of new integration technology products to build Internet based systems. Cisco knows it has difficulty in getting non-networking IT staff to read its releases and recognize the new roles and capabilities its products now support. Its the same story for SAP with its rapidly growing HANA capabilities moving its capabilities beyond those of the IT departments ERP staff. Or, Salesforce, IBM, in fact the whole top tier of Technology vendors find themselves ‘trapped’ in there traditional market slot.

Investments have introduced genuinely new, innovative products that match real business requirements, unfortunately they all too often cant be matched to their current ‘partnership’ positioning in the IT department organization.

For the major technology vendors, as much as the new startups, the inability to get their messages read and understood is a major issue. As specialized team members make what were previously rational decisions to disregard what doesn’t directly concern them in their current roles and partnership alignments it has now become a recognizable issue for the IT department too.

It’s a subtle and difficult challenge to take on, because right now few IT departments have any systematic manner of identifying the ‘big picture’ of emerging technologies to identify and characterize how to make use of radical new capabilities with business. New requirements are either dealt with in the manner of the one off requirement, or maybe by asking the ‘nerd squad’ doing small scale Internet and Services build work for sales or marketing. Neither reaches the real issue, which is to strategically decide what is required as an ongoing Enterprise in association with Business change, and accordingly, re evaluate potential partners around their positioning and products.

Can IT re evaluate and re-position itself on its own? The answer is almost certainly no, as the re-positioning has to be around the new Enterprise Business model built on the basis of Technology capabilities.

Exactly what this means was skillfully made clear by Blake Cahill, the Global Head of Brand Marketing for Philips, speaking at the Constellation Research Digital Disruption tour in Amsterdam recently.  Blake has been interviewed by various publications and there are three interviews that cover his views and provide more depth to the whole topic of the extent to which Digital Disruption is reorganizing Enterprises;  One, Two, and Three.

Blake’s presentation to the event described how Philips had created three common business zones each of which covered all their products and activities to insure that there is a common enterprise wide engagement;

  1. Market to Sale – understanding and interacting with the overall Digital Marketing in all aspects of both inward intelligence as well as outward messaging.
  2. Sale to Order – presenting the choices and assisting the potential customer in achieving a mutually satisfying deal.
  3. Order to Fulfillment – recognizably based around much of the existing Back Office IT systems, but with the addition of Digital links for purposes such as order tracking by a customer.

The three zones each have all the activities of Philips in that particular engagement area to ensure a full ‘big picture’ relationship to each other, though not necessarily in the manner of traditional IT processes where alignment of process and data is the key. Taking as an example Market to Sale the requirement is to be able to track all market data both incoming and outgoing to determine new ‘insights’ of business value that in turn are used to act and create successful ‘outcomes’.

Digital Business is not just about doing Business Online using Digital Technology; above all it’s the development of ‘Smart’ Business capabilities to interpret apparently unrelated data into previously unrecognized ‘Insights’ of Business value. In the super competitive Digital world awash with data to survive, and prosper, requires not just more data analytics, but a different business model.

This point was made in a previous blog, and brings the point back to the re invention and re positioning of the knowledge and capabilities of the current IT department. The IT department has to bring a very different set of technology tools, probably from a new set of partners, to manage the data flows from a world of Internet of Things devices, as well as many other existing sources; Machine learning is just one example of a new and radically disruptive new tool, but already the there are sufficient new products and capabilities launched that need to assessed in systematic manner.

However the words Strategic and Systematic examination of new technology and tools require matching to the requirements of the new re-positioned operating and business models of the enterprise.

This is the first in a new blog series where the focus will be on understanding what, and how, a business may choose to operate as it under goes its own ‘Digital Disruption’, and the consequences for re-positioning the capabilities and competencies’ of the IT department as the provider of Enterprise Technology knowledge. 

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Five Lessons from a Year of Disruption

Five Lessons from a Year of Disruption

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When you are head down working on projects, developing new business and just keeping it all together, it’s easy to miss business milestones – like your first year in business.

The initial idea for Disruptor’s Handbook came from a lunchtime meeting with my former colleagues at PwC. We were talking about the concept of “disruption” and how it could be managed. Used for innovation. Simon Gibbard suggested that we write a handbook – a disruptor’s handbook. Tim Lovitt and I had topic ideas and thought we could pull together a blog. Or an ebook. Or something.

Of course, it never happened. We were busy with projects and with life.

When my PwC contract ended, I launched Disruptor’s Handbook with the view that there was something to the concept. There were plenty of lessons from the world of startups that could be applied to corporates, and vice versa. I had also worked with communities and business networks and knew there was value in collaboration. The plan was to bring these things together – to help corporates, smaller businesses with the appetite for change, and innovative NFPs:

  • Reduce the risk of innovation
  • Innovate quickly by adopting proven frameworks
  • Be supported by experienced executives, mentors and teams.

The Three Principles

So I began with three principles that applied not only to collaborators but also to clients:

  • Intention: When working with clients and with collaborators, I needed to understand their intention. Did they truly, deeply have an intention to work together? Or was it a “lipstick on a pig” project designed to give the appearance of innovation?
  • Commitment: Was there a commitment to make a difference with innovation? Would clients and collaborators commit to a problem, wrestle with politics, budgets and organisational apathy?
  • Gavin is not always right: I can be passionate and easily convinced of the power of my own ideas, but I challenged myself to be open to alternatives of all kinds.

Five Lessons from Disruption

Like any fledgling business, there’s a lot required to build, learn and grow. You need work. Case studies. Cash flow. But these are the same for any business. What follows, however, are the more hidden lessons that I have taken out of the last 12 months:

  1. Your greatest strength is speed – but only if you use it. There is plenty of competition out there. But being a small business means that you can change the way you DO business quickly. But you have to commit to doing so. If you take a week to change your website, you’re too late. If you need to delay a project you may lose it. The challenge is to actually use your nimbleness to respond to project, client or market changes faster than everyone else.
  2. You aren’t what you sell. After creating a dozen or more disruptor’s handbooks on various topics from “using the lean canvas” to “how to run a hackathon”, I realised that I needed to bring things together. Potential clients could see the value but not the offer. I needed to quickly change the way that I explained Disruptor’s Handbook to make it more tangible. Remember to sell the sizzle as well as the steak.
  3. What you have isn’t necessarily what clients want. This is a hard one. Sometimes people “want” disruption but they’re not “ready” for it (yet). Like most innovation, it’s a journey. You’ve got to both educate your clients and lead them on a journey. You’ve got to support them in selling the concepts into their own teams and management. It may be that your offerings are too early for the market. In which case, it’s time for Lesson 4.
  4. Ditch your beautiful ideas. Ideas in your disruptive business are worth nothing. What counts is traction. If a proposal is successful, analyse it for what worked. Keep refining it. But if you proposals are not succeeding, you need to move on quickly (see Lesson 1). No one will love your idea more than you, and that’s what makes it hard to let go. Be honest with yourself, ask for feedback and figure out where to go next. After all, you need to eat.
  5. Ride the horse all the way to “yes”. In our minds we are often saying yes but our words, presentations, proposals and actions indicate “no”. Keep practising saying “yes” out loud so that your clients and collaborators can hear it. Be open (as per Principle 3 above) as a project can often veer into unexpected and exciting territory. It may start out simply but can become truly disruptive and exciting. Ride that horse all the way to yes.
  6. A note of thanks. I know this is Lesson 6 … but it’s also important to be thankful. In the first year I have been fortunate to work with and learn from many people. We’ve done some great work together – from the innovative Qantas Hackathon to StudyNSW digital strategy. We’ve run workshops, spoken at conferences, mentored startups and incubated a few new businesses that are yet to launch (more to come). Every project took commitment and intention from the business and the business sponsors. And I was not always right. But I am truly thankful for the opportunity and experience.

With one year down, I’m excited to be looking further ahead. Plans are being considered. Collaborators cultivated. If you have a project you like to discuss, I’d love to hear from you. If you’d like to be a collaborator, hit me up.

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Is Reddit’s Controversy About the Content or the Digital Revenue Model?

Is Reddit’s Controversy About the Content or the Digital Revenue Model?

Reddit’s forums are famous for hosting some of the most vibrant and some of the most disturbing (my personal opinion) discussions on the Web. The New York Times article by Jason Henry stated, “Mr. Huffman reappeared last Friday as chief executive to pull off a turnaround of the online message board, which has grappled with a series of missteps and is embroiled in a battle to win back the confidence of its users.” The San Francisco Chronicle reporter, Greta Kaul wrote, The new CEO of Reddit hosted an “Ask Me Anything” forum to clarify its content policies, which have been debated by free speech advocates and an antiharassment contingent for weeks. The site, known for everything from elevated conversations about political philosophy to photo collections of dead children, rolled out rules designed to curb harassment.

There were more than 40,000 Reddit users tuned in to Thursday’s forum at various times and generated 9,000 comments ~an hour. CEO Steve Huffman wrote, “We’ll consider banning subreddits (forums) that clearly violate the guidelines in my post — the ones that are illegal or cause harm to others. “There are many subreddits whose contents I and many others find offensive, but that alone is not justification for banning.

While most of the controversy is about Reddit administrator’s who have drawn both praise and criticism for their hands-off approach to regulating what could be said on the site and, which leaves many decisions up to volunteer moderators, there is an all together additional issue that not only Reddit has to face, but so do many other brands in this Age of Digital Disruption. In Ray Wang’s book: Disrupting Digital Business: Create An Authentic Experience in A Peer-to-Peer Economy says Digital Darwinism is not kind to those who wait to understand the transformation and choices business have to make, and make now.

My POV: Reddit has to decide what is going to drive their company. Are they defined by the type of brand they want to be or are they defined, as a company, by their digital business model? Over five thousand years ago our marketplaces were the hub of civilization. They were where traders returned from remote lands with exotic spices, jewels, silks, monkeys and parrots and told us fabulous stories. The Internet is still a place for storytelling. That’s not going to change. But what is changing is how businesses make money in this new storytelling-based marketplace call the Internet. Here’s what I mean by that.
 
Option 1: Choose Your Brand and It’s Values: If Reddit wants to be the “anything goes brand” then they mostly likely will have to change their business model (i.e., if the revenue model is ad-based then with the “anything goes” brand values, Reddit many be rightly worried that many or some of the ad sponsors would stop posting ads. If that would be the case, Reddit wouldn’t have the same revenue base.  And thus if Reddit chooses to the the “anything goes brand,” they would possibly have to look at other revenue sources.
 
Option 2: Choose Your Digital Revenue Model: Or Reddit can decide what their digital business model is and then that would dictate whether they are the “anything goes brand” or if they want to moderate some of the content. If their digital revenue model is ad revenue, then, depending on the ad sponsors, that might change how much ad revenue they receive.
 

There are brands out there, like Fiat that used Charlie Sheen in a Fiat TV commercial, that may like to be on the “edge.” I’m not suggesting that the Fiat TV commercial is in any way representative of some of the content that is at the center of the controversy at Reddit. But there are some brands would find some of the content on Reddit “off brand.” So as a brand, a CMO and CEO,  one has to answer the question, “What is the edge, and when have we gone off the edge to a place of no return as a brand?”
 
For Reddit, either decision means that there are stakeholders  – ad sponsors or the site’s administrator’s and / or volunteer moderators that may be upset. It’s a rock and a hard place and probably the tip of the iceberg for facing the idea that the Internet is the place to be COMPLETELY unedited, authentic, genuine and honest. However, Reddit is not the only brand that is facing this challenge. Many brand face this issue. While it’s not “in fashion” some brands do still take down posts that are not “on brand” to avoid a PR disaster. I’m not saying whether they are right or wrong in doing so. Just looking at what is happening and reporting what I see.

The author’s of the book The ClueTrain Manifesto wrote back in 1999 “Through the Internet, the people in your markets are discovering and inventing new ways to converse. They’re talking about your business. They’re telling one another the truth, in very human voices. You have two choices. You can continue to lock yourself behind the facile corporate words and happy talk brochures. Or you can join the conversation.

Perhaps an addendum to that today is – “You can join the conversation, but have to decide on your digital business revenue model, which will determine how completely unedited, authentic, genuine and honest your conversations are going to be.”

The Bottom-line: For those that are not clear, the digital disruption means that we are having to change our business models. We can no longer operate business the way we used to. And we have to consider how far is to far and how far is far enough to maintain what the author’s of the ClueTrain spoke about – which is the idea that one can step outside the typical, sterile, overstarched blandness of the old days of brands and just be human. But how far does one go, still be human, and not be offensive? How does one decide where the boundary lines are drawn? That is up to each and every individual and each and every brand.

And as I talk to CMOs, Customer Experience Professionals, Customer Care and Customer Service Professionals and IOT experts, these are the questions brands and those that spend money to sponsor those brands will have to decide. We are over the hype-cycle that the Internet is the place to be totally honest. We are now in a new era where we have to get serious about how brands are going to make money and what are the limits to what a brand can and can not do or will not do. Interesting times we live in.

What’s your take on what is on or over the edge in the area of Internet content and the editing or moderating of it?
@drnatalie VP and Principle Analyst Covering The Digital Disruption and All It’s Consequences

 

Next-Generation Customer Experience Chief Customer Officer Chief Marketing Officer Chief Digital Officer

Infographic Friday: FIFA Women’s World Cup

Infographic Friday: FIFA Women’s World Cup

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It’s time for another edition of Infographic Friday. Today’s content comes to us from Genesco Sports Enterprises (@GSE_Sports) and it includes some great statistics from this year’s FIFA Women’s World Cup, including:

  • Tournament viewership and associated ad revenue
  • Social media impressions and buzz
  • U.S. Soccer fan demographics

Check out the full infographic below and click here to see the original version at the Genesco Sports Enterprises Facebook page.

GSE-WWC

Next-Generation Customer Experience Marketing Transformation Innovation & Product-led Growth Chief Customer Officer

Breaking down digital identity

Breaking down digital identity

Identity online is a vexed problem. The majority of Internet fraud today can be related to weaknesses in the way we authenticate people electronically. Internet identity is terribly awkward too. Unfortunately today we still use password techniques dating back to 1960s mainframes that were designed for technicians, by technicians.

Our identity management problems also stem from over-reach. For one thing, the information era heralded new ways to reach and connect with people, with almost no friction. We may have taken too literally the old saw "information wants to be free." Further, traditional ways of telling who people are, through documents and "old boys networks" creates barriers, which are anathema to new school Internet thinkers.

For the past 10-to-15 years, a heady mix of ambitions has informed identity management theory and practice: improve usability, improve security and improve "trust." Without ever pausing to unravel the rainbow, the identity and access management industry has created grandiose visions of global "trust frameworks" to underpin a utopia of seamless stranger-to-stranger business and life online.

Why is identity online so strangely resistant to these well-meaning efforts to fix it? In particular, why is federated identity so dramatically easier said than done?

Well-resourced industry consortia and private-public partnerships have come and gone over the past decade or more. Numerous "trust" start-up businesses have launched and failed. Countless new identity gadgets, cryptographic algorithms and payment schemes have been tried.

And yet the identity problem is still with us. Why is identity online so strangely resistant to these well-meaning efforts to fix it? In particular, why is federated identity so dramatically easier said than done?

Identification is a part of risk management. In business, service providers use identity to manage the risk that they might be dealing with the wrong person. Different transactions carry different risks, and identification standards are varied accordingly. Conversely, if a provider cannot be sure enough who someone is, they now have the tools to withhold or limit their services. For example, when an Internet customer signs in from an unusual location, payment processors can put a cap on the dollar amounts they will authorize.

Across our social and business walks of life, we have distinct ways of knowing people, which yields a rich array of identities by which we know and show who we are to others. These Identities have evolved over time to suit different purposes. Different relationships rest on different particulars, and so identities naturally become specific not general.

The human experience of identity is one of ambiguity and contradictions. Each of us simultaneously holds a weird and wonderful ensemble of personal, family, professional and social identities. Each is different, sometimes radically so. Some of us lead quite secret lives, and I'm not thinking of anything salacious, but maybe just the role-playing games that provide important escapes from the humdrum.

Most of us know how it feels when identities collide. There's no better example than what I call the High School Reunion Effect: that strange dislocation you feel when you see acquaintances for the first time in decades. You've all moved on, you've adopted new personae in new contexts - not the least of which is the one defined by a spouse and your own new family. Yet you find yourself re-winding past identities, relating to your past contemporaries as you all once were, because it was those school relationships, now fossilised, that defined you.

Frankly, we've made a mess of the pivotal analogue-to-digital conversion of identity. In real life we know identity is malleable and relative, yet online we've rendered it crystalline and fragile.
We've come close to the necessary conceptual clarity. Some 10 years ago a network of "identerati" led by Kim Cameron of Microsoft composed the "Laws of Identity," which contained a powerful formulation of the problem to be addressed. The Laws defined Digital Identity as "a set of claims made [about] a digital subject."

Your Digital Identity is a proxy for a relationship, pointing to a suite of particulars that matter about you in a certain context. When you apply for a bank account, when you subsequently log on to Internet banking, when you log on to your work extranet, or to Amazon or PayPal or Twitter, or if you want to access your electronic health record, the relevant personal details are different each time.
The flip side of identity management is privacy. If authentication concerns what a Relying Party needs to know about you, then privacy is all about what they don't need to know. Privacy amounts to information minimization; security professionals know this all too well as the "Need to Know" principle.

All attempts at grand global identities to date have failed. The Big Certification Authorities of the 1990s reckoned a single, all-purpose digital certificate would meet the needs of all business, but they were wrong. Ever more sophisticated efforts since then have also failed, such as the Infocard Foundation, Liberty Alliance and the Australian banking sector's Trust Centre.

Significantly, federation for non-trivial identities only works within regulatory monocultures - for example the US Federal Bridge CA, or the Scandinavian BankID network - where special legislation authorises banks and governments to identify customers by the one credential. The current National Strategy for Trusted Identities in Cyberspace has pondered legislation to manage liability but has balked. The regulatory elephant remains in the room.

As an aside, obviously social identities like Facebook and Twitter handles federate very nicely, but these are issued by organisations that don't really know who we are, and they're used by web sites that don't really care who we are; social identity federation is a poor model for serious identity management.

A promising identity development today is the Open Identity Foundation's Attribute Exchange Network, a new architecture seeking to organise how identity claims may be traded. The Attribute Exchange Network resonates with a growing realization that, in the words of Andrew Nash, a past identity lead at Google and at PayPal, "attributes are at least as interesting as identities - if not more so."

If we drop down a level and deal with concrete attribute data instead of abstract identities, we will start to make progress on the practical challenges in authentication: better resistance to fraud and account takeover, easier account origination and better privacy.

My vision is that by 2019 we will have a fresh marketplace of Attribute Providers. The notion of "Identity Provider" should die off, for identity is always in the eye of the Relying Party. What we need online is an array of respected authorities and agents that can vouch for our particulars. Banks can provide reliable electronic proof of our payment card numbers; government agencies can attest to our age and biographical details; and a range of private businesses can stand behind attributes like customer IDs, membership numbers and our retail reputations.

In five years time I expect we will adopt a much more precise language to describe how to deal with people online, and it will reflect more faithfully how we've transacted throughout history. As the old Italian proverb goes: It is nice to "trust" but it's better not to.

This article first appeared as "Abandoning identity in favor of attributes" in Secure ID News, 2 December, 2014.

Digital Safety, Privacy & Cybersecurity Distillation Aftershots Security Zero Trust Chief Information Officer Chief Information Security Officer Chief Privacy Officer