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DataScan: Issue #16

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Does data have an image problem? Will companies be able to convince consumers to still hand over thei
 

DataScan

January 22 · Issue #16 · View online
Curated digest on the world of data.

Does data have an image problem? Will companies be able to convince consumers to still hand over their personal data when GDPR comes into action? Gmail user? Are you taking part in the Data Science Bowl? Should developers consider themselves specialists or generalists? Could you be a citizen data scientist? Have you lost control of your digital presence?

Security
Does data have an image problem? Negative news naturally receives the most press coverage as it shocks and engages the reader. However, as discussed by Guy Marson, this means that the majority of “data” stories in the press are “on a hack, data leak or misuse of data”. This warps consumer view to mis-trusting companies over how their personal data is used and stored. 🙄
– For example - 2016 was a record year for data breaches. Headlines like this do not fill consumers with confidence or reflect how data is actually helping consumers. GDPR will make it compulsory to “explain to consumers how and why their data is being used” - so companies need to be able to convince consumers that it in their best interest to hand over their personal information. 😬
The CIA published new, stricter guidelines for how they collect, keep and share data on Americans. A step in the right direction. ✅  This comes alongside the release of 13 million pages of declassified documents online - read about the top nine things we learnt here (including aliens, psychic powers and invisible ink recipes).
Gmail user? Don’t fall victim to this dangerously convincing phishing attack. The fake login page contains the accounts.google.com subdomain - but uses a “data URL” to “include a complete file in the browser location bar” which is actually a “very long string of text”. If you haven’t already, enable two-factor authentication… 📧
Data
This year’s Data Science Bowl has kicked off 🏈📈 - the world’s premier data science for social good competition. This year’s challenge is to turn machine intelligence against lung cancer. Get involved here. 🙌
Specialist or generalist? Itamar Turner-Trauring discusses which path is better for software developer’s career. ⚖  Context is everything - in short, be a generalist but market yourself as a specialist if applying for a specific job role. 
According to Gartner, more than 40% of data science tasks will be automated by 2020. 🤔  This will further the growth of “citizen data scientists – employees whose primary job is non-stats/ analytics, but can create “models that use advanced diagnostic analytics or predictive and prescriptive capabilities”. 💪
Vector models in machine learning, by Erik Bernhardsson
Miscellaneous
DataSift has teamed up with LinkedIn to “build up more data about how LinkedIn is used and what is talked about on there”. This will provide deeper insights into how LinkedIn is used, which will in turn help marketers maximise their advertisements. Check out this write up by Ingrid Lunden. ✅
Can you guess what got better or worse during Obama’s Presidency? Wonder how things will change now.. 📉
The weird and wonderful ways businesses waste money. Tableau interactive + somewhat comical list of examples: From Ikea wasting £185,611.10 a year on giving away free pencils, to the NHS wasting £843,960 a year on paper payslips. 💰
Cool laser writes data in 20 trillionths of a second - thats 1000x fast than today’s hard drives, while producing little heat. Cool ❄❄❄
Lost control of your digital self? 😎  This eight-day data detox is aimed to reduce “data bloat” by helping you manage online personal information and privacy settings.
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