Wednesday, December 26, 2018

Data Ownership


The art of dying graciously is nowhere advertised,
in spite of the fact that its market potential is great.



By Milton Mayer


Amazon accidentally sent 1,700 Alexa recordings to the wrong person, including audio from in the shower Business Insider. “The episode underscores that Amazon stores audio files when you speak to Alexa.”
Cost to walk away from Facebook for a year? More than $1,000, new study finds PhysOrg Sigh*. How people say they value things in response to surveys is a poor indicator of how they behave around money. Plus this looks like a case study of the cognitive bias, endowment effect.

The State Of The Art Of Data Visualization

The ability to interpret data and analyze and communicate ideas about that data through design–has never been more important. 2018 brought a wealth of remarkable visualization work to the fore, and much of it changed our perception of the world around us. –Fast Company

 Huawei equipment pulled from $3b UK police phone network

Huawei equipment will be ripped out of the core part of a UK communications network for police and other emergency responders.



This Was the Year the Robot Takeover of Service Jobs Began Gizmodo


Ethics and Artificial Intelligence


What can be done to manage the risks of artificial intelligence?


Uber’s entire business model is in jeopardy after losing its latest legal battle over the rights of UK drivers Reuters


This essay argues that “data ownership” is a flawed, counterproductive way of thinking about data. It not only does not fix existing problems; it creates new ones
. Instead, we need a framework that gives people rights to stipulate how their data is used without requiring them to take ownership of it themselves. The Data Care Act, a billintroduced on December 12 by US senator Brian Schatz, a Democrat from Hawaii, is a good initial step in this direction (depending on how the fine print evolves). 






n Despite the proliferation of ideas and techniques in the data space – from analytics to machine learning to improving data quality – it is hard to find examples of where quickly harnessing data leads to sustained revenue growth, permanent reductions in cost and customer satisfaction. This is because in most situations, growth is slow.


As Facebook Raised a Privacy Wall, It Carved an Opening for Tech Giants NYT. I’m shocked, shocked to see that Facebook provided such access for tech behemoths.



n A successful data strategy includes the following elements:


§ Data quality: data needs to be properly defined and structured such that it is easy to understand and of high enough quality that it can be trusted. Proprietary data is best.


§ Means to monetize data: companies need a business model outlining how data will help generate profit or business success. While there are many ways for data to work, “using analytics wherever possible” is not enough.


§ Organizational capabilities: without the talent, structure and culture, data strategies become problematic. The lack of these elements can make it difficult for data strategies to grow beyond team or department levels.


§ Technology: companies need technology that can manage and store data at scale at low cost: as well as analysis tools and cognitive technologies that help drive data forward.
§ Defense: finally, successful data strategies minimize risk – including following laws relating to privacy and data use and maintaining customer relationships






Integrity and Security



Statistics Canada’s request for banking information investigated by Privacy Commissioner


n As part of a new project, Statistics Canada planned to collect individual-level financial transaction data and sensitive information such as social insurance numbers from Canadian financial institutions. Originally, they planned to ask for the information of 500,000 randomly chosen Canadians.


n As a result of public and political concern, the Office of the Privacy Commissioner (OPC) is conducting an investigation of the project to ensure it respects Canadians’ privacy; the OPC had previously been informally consulted. Statistics Canada clarified that they would wait to proceed until the Privacy Commissioner’s work is finished.


n One of the reasons for this new data collection method is that responses to traditional surveys are low. In contrast, digital footprints provide more accurate and complete records of behaviour that can be used in statistical analysis. In this case, the data gathered would be used to track household spending and consumer trends.