Git Your SQL Together (with a Query Library) by/via @beeonaposy via

Caitlin Hudon recommends tracking SQL queries in Git. Here she explains how she created a git repository for saving and sharing commonly (and uncommonly) used queries while tracking any changes made to these queries over time.

Good practice for sure. I either use Git or Google Drive. Either way it is good practice to save and keep records of SQL queries you have used.

6 predictions for the future of analytics by Beverly Wright via @infomgmt

The dynamic nature and improved capabilities for analytics continues to excite and enable companies and even individuals to do more and in better ways.

Some interesting predictions. Certainly with items 3 in her list that has been a priority for a while now but I certainly see this area becoming increasingly more important especially as we start to use AI and ML more and more.

3 key elements to make data demonetisation possible by Matt Maccaux via @infomgmt

Businesses that are not realising the full potential value of data are leaving untapped opportunities on the table and are at real risk of being disrupted by companies that are driving forward with an analytics agenda.

I find it bizarre that a company can recognise the importance of their data by don't have a strategy for it. Data is an asset for a company as much as any physical object and it therefore deserves the time, attention and strategy as much as anything else.

Facial recognition snares China’s air con queen Dong Mingzhu for jaywalking, but it’s not what it seems by @litaoscmp via @SCMPTech

Dong Mingzhu, chair of China's Gree Electric Appliances, found her face splashed on a huge screen erected along a street in the port city of Ningbo that displays images of people caught jaywalking by surveillance cameras. But local police say the facial recognition program actually nabbed an advertisement on the side of a moving bus.

OMG - what a spectacular failure of AI - something obviously went wrong in the testing of this technology. It seems that no matter how much you test something you will always find a curve ball that proves that you did not test it enough. Definitely an embarrassing fail..

Activation Regularisation for Reducing Generalisation Error in Deep Learning Neural Networks by/via @TeachTheMachine

This tutorial on activation regularisation for reducing generalisation error in deep learning neural networks will help you create better-learned representations and improve predictive models that make use of the learned features.

This is great and I recommend a bookmark to Jason's website as well as subscribing there. Everything he does and explains is very clear and easy to understand.

How better standards can decrease data security spending needs by Anna Johansson via @infomgmt

Recently, standardisation at the highest levels has opened new doors for companies seeking cyber security solutions that don’t cost a fortune and work better than current approaches

Anna makes some good points - chaos with data, systems or interfaces add needless complexity to an organisation that can give areas that could be exploited. You need ordered data with tight controls.

Harvard researchers want to school Congress about AI by Karen Hao via @techreview

A tech boot camp will teach US politicians and policymakers about the potential, and the risks, of artificial intelligence.

This sounds like a great idea. Maybe they could repeat it for other country's legislators too?