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Data Analytics Newsletter #9, August 2019

The Data Analytics Practice Committee (DAPC), the Young Data Analytics Working Group (YDAWG) and the Institute are pleased to bring the latest in the world of Data Analytics to your inbox, and to share some of our recent work with you.

In this edition, we return to familiar ground with career, ethics, practical applications, and some impractical fun.

 

Contents

1. Careers: Using Data Science to investigate who is actually a Data Scientist
2. A lens on Hong Kong - Actuaries Institute Asia Tour 2019
3. Data's ethics and carbon impact
4. Practical application corner
5. Practical misapplication corner

6. A Data Scientist who is sceptical about data
6. Editor's Note

 

Careers: Using Data Science to investigate who is actually a Data Scientist

A Singaporean software engineer and statistician was struggling to find a data science role. So, he decided to mine LinkedIn profiles to see what qualifications and experience are being recruited. Where actuaries feature may surprise you!

 

A lens on Hong Kong - Actuaries Institute Asia Tour 2019

The Asia Tour visits Hong Kong! Following meetings in China, the Asia Tour travelled to Hong Kong where senior Institute representatives joined Institute President Nicolette Rubinsztein and CEO Elayne Grace in a range of informative meetings and seminars.

 

Ethics and carbon impact

Ethical AI 

Before you invent Skynet, check out Hugh Miller's column discussing the European Commission’s recently released guidelines for ethical Artificial Intelligence (AI). He delves into some key issues for business process and algorithm design.

AI researchers need to stop hiding the climate toll of their work

Meanwhile, environmentalist are raising concern that we may be destroying the world just by training the models. The MIT Technology Review examines the issue of state-of-the-art papers requiring increasingly prohibitive compute costs and its link to carbon impact. One silver lining is that many models have subsequently been made public, so that data scientists wishing to replicate results do not have to recreate it from scratch.

 

Practical application corner

DIY driverless car

Self-driving developer Waymo and rideshare company Lyft have both released driverless vehicle datasets, featuring detailed camera and sensor date. Check out the details for Waymo and Lyft. D(r)ive right in!

Lifetime value

Check out this amazing Google Colab notebook for a step by step probabilistic model for customer lifetime value using programming language Python and streaming platform STAN.

Actuarial Data Science

Actuarial Data Science is an initiative from our Swiss counterparts (the Swiss Association of Actuaries) to bring actuaries and data science together. Some of their example case studies may be of interest to both Data Scientists an General Insurance actuaries, and come with code to walk though. There are several lectures and courses in the links.

Protein folding

Protein folding - constructing the right 3D shape of a protein based on the chemical structure – is an important problem with applications in medicine. What’s that got to do with data analytics? Deep learning is emerging as a competitive method for solving the problem.

Top Gear fine-tuning

Some say he has put too many fake-news-generating articles into the newsletter. And that another one on Top Gear quote generation would be excessive. All we know is, you can run this fully functional snippet in Google Colab's hardware.

 

Practical misapplication corner

 

This AI startup claims to automate app making but actually just uses humans

Yet another "Artificial Intelligence" startup has been exposed as using the regular intelligence. 

This high-tech solution to disaster response may be too good to be true

And emergency response disaster technology has in some cases been less successful than hoped. 

A Data Scientist who is sceptical about data

So, one may ask, "Is data science legit?"
In the linked article, a professor of data science highlights four pitfalls in excessive reliance on data for decision making.
Make sure you
email me your thoughts!

 

Editor’s Note

If you have any suggestions, corrections or contributions for the next Newsletter, please do not hesitate to contact me. We're continually looking for more writers for business case studies or Analytics Snippets in Actuaries Digital. Even if you only have writing, R only, Python only skills, we can use your help.

Past editions of this Newsletter are now available here.

Disclaimer

The Institute wishes it to be understood that any opinions put forward in this publication are not necessarily those of the Institute.

 
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