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Showing posts with the label digital footprint

Can brands step back into the void left by influencers and celebrities?

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Have you noticed that with a crisis and a focus on key workers and health, influencers and celebrity have become less important?  Did you notice that the products and services they endorsed, prompted and demanded you trust are not on your essential list? Did you notice that you did not notice that they were not there? Brands had definitely given ground, in terms of who the consumer turned to first, to social media influencers as we’re finding that the marketing KPI gave better value.  However, we also knew that whilst cheaper and somewhat more effective in terms of income generation per pound spent, this new middle person had also removed brands direct reach. The question, do or can brands step back into a direct relationship with consumers, do they want to and what would it mean?   Many did not have data on consumers and used social influences as a way to get data they could not imagine about their users, but has that access channel to the data been broken and where do brands turn to

Cost and Value

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This is an original drawing from My Digital Footprint thinking.  Have been back to the thinking about the two sides of data ( digital footprints) as costs and value. I missed from this "cost and value" what is the cost and value to society of our data.   The cost is one for the state (moving to you and corporate) to pick up that proves assurance about me being me for things like KYC, however it is the value for society that is somewhat more important that just value for me ( as gives trust) My data means that someone else might not suffer, my data means that someone else might get treated quicker, my data means that an error should not get repeated  ... just trying to work out in the equation where this all sits

Follow me, follow you. Follow what you have agreed to is a tad broken.

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source : https://www.nbcnews.com/tech/internet/facial-recognition-s-dirty-little-secret-millions-online-photos-scraped-n981921?cid=par-aff-nbc-knbc_20190312 “Facial recognition's 'dirty little secret': Millions of online photos scraped without consent.”  so is the headline on this # NBC story.   Classic headline for click bate.  IBM released 1 million pictures of faces, intended to help develop fairer face recognition algorithms. This is not a new issue and the bias features in a few very good TED talks so is very real.  However the story was that you  face was scraped directly from #Flickr.  Now the question is all about permission of the subjects rather than this is something we need data for to remove bias.  Data researchers scrape data from the internet (it is public) all the time to train algorithms. Photos are often a fantastic source of image data as the hashtags conveniently correspond to the content of the photos, making it extra easy to generate lab

My take on: Your digital identity has three layers, and you can only protect one of them by Katarzyna Szymielewicz

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Source https://qz.com/1525661/your-digital-identity-has-three-layers-and-you-can-only-protect-one-of-them/amp/ My version of the concept is here  from 2009 I would add to this excellent work by  Katarzyna Szymielewicz  that it is not about me and my data and what analysis of my data tells anyone.  It is about all data, and once anything leaves my head it is shared.  There once was a (useful) set of boundaries and limits to the capability that sharing of data could produce; now there is no boundary and no limit. Get the full version  here

somehow we are going to have to pay for free, the question remains where ?

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Been looking at Flux . Simple proposition.  Aggregation of all your receipts and loyalty into one place. #loveit The power; [in terms of control of your data and what happens to it, how gets to exploit it and what rights you have] shifts from one silo ( the retailer and the bank) to Flux.  It moves from the relationship collector (who you interact with) to a new third party. (intermediary) So here is convenience for you, as these services improve your customer experience, at the expense of data, it is trade we make with having to determine the consequences.  Your data is spread out to a new layer who now needs to monitise  data  to thrive.  The players who now have access to and want to monitise your data goes up.  More competition usually means a lower price, in this case to access your data.   Given some of the players have a direct business relationship with you for products and services ( how your data is generated)  - reselling your data is incremental.  However for the

Why Data Portability will change the “Facebook” model

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We are all aware of the response that when a digital or Internet service is Free; you are the product. It is most probably an adaption of a 1970 quote from the TV/media industry. Free to Air TV, which is advertising supported, means you watch for FREE in exchange for attention to watch adverts, as product and service owners hope you will buy. I want to explore this line of thinking a little further, as with the introduction of PSD2, GDPR and many other new regulatory frameworks from the US to Australia: the user/ consumer can now get their data back – aka #data_portability/ #data_mobility, so the model of FREE needs to be looked at again with our updated digital glasses on.  The purpose here to raise questions as I am thinking about BigTech and the reaction of companies to new regulations. Who benefits and who is threatened, specifically exploring if branded Banks / Fintech gain or lose with data portability?  The thesis is that the Free Facebook model breaks because this

The Strange Order of Things. How sensors can understand your feelings ?

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The Strange Order of Things: Life, feeling and the making of cultures by Antonio Damasio Follow him on Twitter ---- For decades, biologists spurned emotion and feeling as uninteresting. Antonio Damasio, a professor of neuroscience, psychology and philosophy, sets out to investigate “why and how we emote, feel, use feelings to construct ourselves and how brains interact with the body to support such functions”. He demonstrates that we are our chemistry and that feelings are central to the life-regulating processes which keep us alive and thriving. What the body feels is every bit as significant as what the mind thinks and we can turn to emotions to explain human consciousness and cultures. It is worth spending a few minutes reading the praise section as the depth and quality will confirm this book is worth taking seriously. You may not like the content or agree with it - but it is worth reading. The link here to data and sensors is that maybe we can deter

Data is Data. It is not Oil or Gold or Labour or anything else!

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This is also published on LinkedIn and Medium as well  Data is Data.  It is not Oil or Gold or Labour or anything else! Words, in general, are a creative symbolic linguistic invention through which people invoke concepts and meanings that are flexible enough to enable we Homo sapiens to shortcut detailed explanations.  A dog = mammal, furry, four legs, barks, teeth etc. However, words; because they are a shortcut, often lack context and relationship that add “meaning”. Words are “data” which requires the addition of meaning derived from context to “inform” the listener - to become “inform-ation.”   Love, for example, can mean, or be interpreted to mean, many propositions depending on context and relationship. The 2019 update to the New Oxford Dictionary brings in the words   agender and intersexual to help define better and enable more nuanced conversations about  sexuality and gender identity, as society has words without the specific context and better words help avoid