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Showing posts with the label value

Choice, decision making and judgment; is your relationship constructive or destructive?

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What is NEW in this article about decision making? The new part explains the relationship between choices, decisions and judgement and how our questions indicate if our relationship is curious and constructive OR linear, framed, and destructive.  This article is part of a masterclass I have been creating on how we, as directors and those in leadership, can improve our choices, decisions and judgements using data and be better ancestors.  This article is not another self-help or “use this framework to improve decision making”; it is for the curious and those who ask questions on their journey. The refelction at the end should be "How does this article affect our views on the automation of decision making and the use of AI?" Why is this an important topic? Our individual and unique view of the world comprises layers of constructs created by our personality, biases, preferences, facts, and ideas learnt from past experiences.  These constructs are better known as “mental models

Why identity might be just the connector and not a model or end game!

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image source :  http://www.buildbridgebond.com/ As a context I have explored the thinking that nature’s memory is not a digital memory and what are the implications of having perminancy of data (memory) in there two posts What type of memory does identity need? and Data is not Memory -- When in the charity (thrift) shop earlier this week, I was looking at the trinkets/ orderments that are largely from house clearances after someone has died. To that person who died these items were precious, valued and important. The trinket acted as a prompt or reminder of an important time, place, activity or relationship. However, without the person who made and holds that memory, the value of the item is lost to a resale value in a charity shop. Whilst it would be good to be able to create and pass on memories, which we do as learning and stories, we actually don’t pass on everything it has to be learnt and created in every case ( unlike machines and compute). Given w

Exploring the nascent personal data {portability, sharing, mobility} market models, players and positioning.

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{portability, sharing, mobility} this is used to provide the widest possible coverage of models and thinking. Portability that the data can move, sharing data as the ability to have access but does not need to move, and mobility as in the data is decentralized ------- Any discussion about personal data leads to opinions being shared about what it means (to someone) based on the position you start from; a personal view is different from a groups view, which is different from a citizens view and different again from an enterprise views. Inevitably there is a heated exchange as one of the parties believes in the purity of their view(point) and model to create a utopia and panacea for everyone. Once we grasp that there are massive gaps, voids and value in any of the starting positions; adding the complexity of assumptions, experiences and data itself, we can look at the different approaches and debate the wide range of solutions. The purpose of this post is to provide a framework

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

The Theory of Personal Data Mobility has become real hard evidence

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The thinking that data mobility will create new economic value is 10 to 15 years old. I explored the growth potential in my Book “ My Digital Footprint ” in 2008 and I was building on existing economic ideas.  Fast forward 10 years and lots more thinking about the potential upsides and why sharing data creates value. An excellent 2018 report for the Department for Digital, Culture, Media and Sport (DCMS) Data Mobility: The data portability growth opportunity for the UK economy is such as report. To save some time; my summary of this report is here . Ctrl-Shift who wrote the report have gone on and created a Sandbox to showcase examples and bring the theory to life. The Sandbox is a cross-sector collaboration with Barclays, the BBC, BT, Centrica, Facebook and digi.me Independent observers ( check that outcomes are not made up of biased on one solution) to the Sandbox include the Centre for Data Ethics and Innovation (CDEI), Consumers International, the DCMS, t

The Business case for the AMAZON bank

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This post is not should Amazon create a bank, just would BigTech companies do better at the retail FinTech/ banking functions because of the data they hold on you and me? --- All of Amazon’s reporting data is here , Q4 will be released on 31.1.2019. We know from the existing reporting that they have passed 500,000 employees, added $5Bn to cash and sales income of over £200bn. Whilst the Q10 reporting give numbers, facts and a short section on risks there is no mention of data. Can AMAZON or any other BigTech buy an existing international retail bank in cash – yes, but would they be able to do any better? Ignoring the specific relationship that customers have with Amazon and these same customers with their banks, the regulation frameworks and that Amazon has a range of credit/ gift card offers right now; the question:- “Is any of the BiGTech’s data set on me (and you) provide an advantage insomuch that it would enable them to make better decisions as a “bank” that say y