Last year, Facebook changed its mission statement, from "Making The World More Open And Connected" to "Bringing The World Closer Together".
As I said in September 2005, interoperability is not just a technical question but a sociotechnical question (involving people, processes and organizations). (Some of us were writing about "open and connected" before Facebook existed.) But geeks often start with the technical interface, or what is sometimes called an API.
For many years, Facebook had an API that allowed developers to snoop on friends' data: this was shut down in April 2015. As Constine reported at the time, this was not just because the API was "kind of shady" but also to "deny developers the ability to build apps ... that could compete with Facebook’s own products". Sandy Paralikas (himself a former Facebook executive) made a similar point (as reported by Paul Lewis): Facebook executives were nervous about the commercial value of data being passed to other companies, and worried that the large app developers could be building their own social graphs.
In other words, the decision was not motivated by concern for user privacy but by the preservation of Facebook's hegemony.
When Tim Berners-Lee first talked about the Giant Global Graph in 2007, it seemed such a good idea. When Facebook launched the Open Graph in 2010, this was billed as "a taste of the future where everything can be more personalized". Like!
Philip Boxer and Richard Veryard, Taking Governance to the Edge
(Microsoft Architecture Journal, August 2006)
Josh Constine, Facebook Is Shutting Down Its API For Giving Your Friends’ Data To Apps
(TechCrunch, 28 April 2015)
Josh Constine and Frederic Lardinois, Everything Facebook Launched At f8 And Why
(TechCrunch, 2 May 2014)
John Lanchester, You Are the Product
(London Review of Books, 17 August 2017)
Paul Lewis, 'Utterly horrifying': ex-Facebook insider says covert data harvesting was routine
(Guardian, 20 March 2018)
Caroline McCarthy, Facebook F8: One graph to rule them all
(CNet, 21 April 2010)
Sandy Parakilas, We Can’t Trust Facebook to Regulate Itself
(New York Times, 19 November 2017)
Wikipedia: Giant Global Graph
, Open API
Related Posts SOA Stupidity
(September 2005), Social Networking as Reuse
(November 2007), Security is Downstream from Strategy
A commonly accepted principle of architecture and engineering is to avoid a single point of failure (SPOF). A single depot for a chain of over 850 fast food restaurants could be risky, as KFC was warned when it announced that it was switching its logistics from Bidvest to a partnership with DHL and QSL, to be served out of a single depot in Rugby. We may imagine that the primary motivation for KFC was cost-saving, although the announcement was dressed up in management speak - "re-writing the rule book" and "setting a new benchmark".
The new system went live on 14th February 2018. The changeover did not go well: by the weekend, over three quarters of the stores were closed. Rugby is a great location for a warehouse - except when there is a major incident on a nearby motorway. (Who knew that could happen?)
After a couple of weeks of disruption, as well as engaging warehouse-as-a-service startup Stowga for non-food items, KFC announced that it was resuming its relationship with Bidvest. According to some reports, Burger King also flirted with DHL some years ago before returning to Bidvest. History repeating itself.
However, the problems faced by KFC cannot be attributed solely to the decision to supply the whole UK mainland from Rugby. A just-in-time supply chain needs contingency planning - covering business continuity and disaster recovery. (Good analysis by Richard Priday, who tweets as @InsomniacSteel
KFC revolutionizes UK foodservice supply chain with DHL and QSL appointment
(DHL Press Release, 11 Oct 2017)
Andrew Don, KFC admits chicken waste as cost of DHL failure grows
(The Grocer, 23 Feb 2018)
Andrea Felsted, Supply chains: Look for the single point of failure
(FT 2 May 2011)
Adam Leyland, KFC supply chain fiasco is Heathrow's Terminal 5 all over again
(The Grocer, 23 Feb 2018)
Charlie Pool (CEO of Stowga), Warehousing on-demand saves KFC
(Retail Technology 26 February 2018)
Richard Priday, The inside story of the great KFC chicken shortage of 2018
(Wired 21 February 2018) How KFC ended the great chicken crisis by taking care of its mops
(Wired 2 March 2018) The KFC chicken crisis is finally over: it's (sort of) ditched DHL
(Wired 8 March 2018)
Carol Ryan, Stuffed KFC only has itself to blame
(Reuters, 20 February 2018)
Su-San Sit, KFC was 'warned DHL would fail'
(Supply Management, 20 February 2018)
Matthew Weaver, Most KFCs in UK remain closed because of chicken shortage
(Guardian 19 Feb 2018) KFC was warned about switching UK delivery contractor, union says
(Guardian 20 Feb 2018)
Zoe Wood, KFC returns to original supplier after chicken shortage fiasco
(Guardian 8 March 2018)
Wikipedia: Single Point of Failure
Related posts: Fail Fast - Burger Robotics
My thin clean-shaven friend @futureidentity is reassured by messages that appear to be misdirected.
But when I read his latest tweet, I thought of the exception that proves the rule
. Fowler defines five uses of this phrase; I'm going to use two of them.
Firstly, when an advert is exceptionally badly targeted, we notice it precisely because it is an outlier - an exception to the normal pattern or rule. Thus reinforcing our belief in the normal pattern - the idea that many if not most messages nowadays are moderately well targeted. This is what Fowler calls the "loose rhetorical sense" of the phrase.
Secondly, adverts aren't necessarily misdirected by accident. Conjurers and politicians use misdirection as a form of deception, to distract the audience's attention from what they are really doing. (Some commentators regard the 45th US President as a master of misdirection.)
This is how Target does it, so the pregnant customer doesn't feel she's being stalked.
"Then we started mixing in all these ads for things we knew pregnant women would never buy, so the baby ads looked random. We’d put an ad for a lawn mower next to diapers. We’d put a coupon for wineglasses next to infant clothes. That way, it looked like all the products were chosen by chance." (Forbes)
So just because a marketing message appears to be a random error, that doesn't mean it is. Further investigation might reveal it to be carefully designed to foster exactly that illusion in a specific recipient. And if it turns out to be targeted after all, this would be what Fowler calls "the secondary rather complicated scientific sense" of the phrase.
Related posts85 million faces
Charles Duhigg, How companies learn your secrets
(New York Times, 16 Feb 2012)
Kashmir Hill, How Target Figured Out A Teen Girl Was Pregnant Before Her Father Did
(Forbes, 16 Feb 2012)
Wikipedia: Exception that proves the rule
, Misdirection (magic)
This week, three American companies announced a joint venture to sort out healthcare for their own employees. Ambitious, huh?
This is not the first time large American companies have tried to challenge tho market power of healthcare providers. According to Warren Buffett, "the ballooning costs of healthcare act as a hungry tapeworm on the American economy". Intel and Walmart are among those that have previously ventured into this area. In 2016, 20 companies including Coca Cola, American Express, IBM and Macy’s joined the Health Transformation Alliance (HTA). So why should anyone take this latest attempt seriously? Only because the three companies are Amazon, Berkshire Hathaway and JPMorgan Chase. And Amazon (need I remind you?) eats everyone's lunch.
John Naughton sees this as a typical play for a data hungry tech giant, based on two hypotheses.
- Transactional data will lead to transactional efficiencies. The joint venture starts with the three companies experimenting on their own employees, who will "tell Amazon and its algorithms what works and doesn’t work".
- "Mastery of big data might yield clinical benefit".
As Pressman and Lashinsky note, the experiment is based on a pretty good sample of Americans: "a diverse workforce spanning low-wage normal folk to the most elite of our society".
Amazon is obviously a major player in the data and analytics world, but so is IBM, which is playing an important role in the HTA. Not only is IBM a corporate member, but IBM Watson Health will do the data and analytics. According to Pharmaceutical Commerce, it will "aggregate participating HTA member companies' data, enabling insights both into outcomes of medical interventions, as well as wellness initiatives to improve employees’ health".
And what about Google? Google Health was discontinued in 2011, following a lack of widespread adoption. Perhaps data isn't the whole story.
But Amazon is not just about data. In an article published before this announcement, Zack Kanter attributes Amazon's strategic dominance to SOA. "Each piece of Amazon is being built with a service-oriented architecture, and Amazon is using that architecture to successively turn every single piece of the company into a separate platform — and thus opening each piece to outside competition."
Moazed and Johnson discuss the platform implications of the healthcare announcement. They argue that "platforms thrive with fragmentation, not consolidation", and that "the new platform needs to offer enough potential scale to outweigh those risks, otherwise manufacturers may be too afraid to join". Sarah Buhr sees this as an opportunity for smaller players, such as Collective Health.
Three employers, even large ones, probably won’t have enough muscle to negotiate fair prices for healthcare and pharma. But if Bezos can create the right expectations, and provide a flexible platform for smaller players ...
Health Transformation Alliance sets its 2017 agenda
(Pharmaceutical Commerce, 9 March 2017) Amazon alliance takes on ‘hungry tapeworm’ of healthcare costs
(Pharmaceutical Technology, 1 February 2018)
Sarah Buhr, Collective Health Wants To Replace The Health Insurance Industry With A Software Program
(TechCrunch, 11 Aug 2014)
Sarah Buhr, Amazon’s new healthcare company could give smaller healthtech players a boost
(TechCrunch, 30 Jan 2018)
Paul Demko, Amazon's new health care business could shake up industry after others have failed
(Politico, 30 January 2018)
Zack Kanter, Why Amazon is eating the world
(TechCrunch, 14 May 2017)
Paul Martyn, Healthcare Consumerism: Taming The Hungry Tapeworm
(Forbes, 30 January 2018)
Alex Moazed and Nicholas L Johnson, Amazon's Long-Awaited Health Care Platform
(Inc, 30 January 2018)
John Naughton, Healthcare is a huge industry – no wonder Amazon is muscling in
(Observer, 4 February 2018)
Aaron Pressman and Adam Lashinsky, Data Sheet—Why Jeff Bezos Just Might Crack the Health Care Challenge
(Fortune, 31 January 2018) Jordan Weissmann, Can Amazon, Berkshire Hathaway, and JPMorgan Revolutionize Health Care?
(Slate, 30 Jan 2018)
Wikipedia: Google HealthUpdated 5 February 2018
Just over a year ago, Microsoft launched some software that would guess how old you were. Millions of people were persuaded to donate a selfie to Microsoft in return for playing this game. See my post 85 Million Faces
Google's latest face-collecting gimmick is to find a painting that looks like you. Although the Arts and Culture app was originally launched in 2015, the face-matching feature was only added last month. This weekend the app shot to the number one slot in the downloads chart, and 20 million selfies (and counting) have already been donated to Google.
comments, facial recognition technology allows Google to find the artwork you most resemble – but it also supports the rise of the surveillance state.
And yet Google cannot (yet) compete with old-fashioned serendipity. Before Museum-Doppelgänger-Hunt was an app, it was a viral meme, featuring (among others) @fleezee
But there have been other Doppelgänger-Hunts before, using Face Recognition software. For example, the TwinStrangers
project. So which is the egg and which the chicken?
Rebecca Fleenor, I'm on the front page of Reddit. This is how it feels
(CNET, 13 September 2017)
Christine Hauser, Meet your art twin: a 400-year-old with an oily complexion
(New York Times, 17 Jan 2018)
Arwa Mahdawi, Finding your museum doppelganger is fun – but the science behind it is scary
(Guardian, 16 January 2018)
Rosie Spinks, Why the Art Museum Doppelgänger meme is to profoundly addictive (Quartzy, 2 January 2018)Der fremde Zwilling
(Spiegel, 15 April 2015) in German
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