Your Apps Know Where You Were Last Night, and They’re Not Keeping It Secret by various authors via @nytimes

Smartphone location data is being sold. It’s supposed to be anonymous, but the data shows how personal it is.

This is scary and could well be something to be cautious with - maybe a time to revisit app permissions on your mobile?

8 top artificial intelligence and analytics trends for 2019 by Srinivasa Vegi via @infomgmt

Artificial intelligence will deliver approximately $2 trillion worth of business value worldwide over the next year. Companies that fail to adopt AI will lose out. Some industries may even be wiped out.

Interesting and ties with my own thoughts quite well.

What Is a Data Frame? (In Python, R, and SQL) by/via @oilshellblog

This post introduces data frames and shows how they work by solving the same problem three ways: without data frames, with data frames in Python and R, and in plain SQL.

I love this which allows you to compare and contrast the method across all three so that you can see the idea is the same but the implementation is different. Definitely worth a bookmark.

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?

WEBINAR: Data Prep For Data Ops: How To Select & Deploy - 12 December 2018

Data Science Central Webinar Series Event

Data Prep For Data Ops: How To Select & Deploy Join us for the latest DSC Webinar on December 12th, 2018 In recent years, a new term in data has cropped up more frequently: DataOps. As an adaptation of the software development methodology DevOps, DataOps refers to the tools, methodology and organisational structures that businesses must adopt to improve the velocity, quality and reliability of analytics. Widely recognised as the biggest bottleneck in the analytics process, data preparation is a critical element of building a successful DataOps practice by providing speed, agility and trust in data. Join guest speaker, Forrester Senior Analyst Cinny Little, for this latest Data Science Central webinar focusing on how to successfully select and deploy a data preparation solution for DataOps. The presentation will include insights on data preparation found in the Forrester Wave™: Data Preparation Solutions, Q4 2018. During this webinar you will learn: Where does data preparation fit within DataOps What are the key technical & business differentiators of data preparation solutions How to align the right technologies, people and processes Speakers: Will Davis, Sr. Director of Product Marketing -- Trifacta Cinny Little, Senior Analyst -- Forrester Hosted by: Bill Vorhies, Editorial Director -- Data Science Central   Title:  Data Prep For Data Ops: How To Select & Deploy Date:  Wednesday, December 12th, 2018 Time:  9 AM - 10 AM PDT   Space is limited so please register early: Reserve your Webinar seat now   After registering you will receive a confirmation email containing information about joining the Webinar.

The Big Data Game Board™ by William Schmarzo via @kdnuggets

Move aside “Monopoly,” “Risk,” and “Snail Race!” Time to teach the youth of the world of an important, career-advancing game: how to leverage data and analytics to change your life! Introducing the “Big Data Game Board™”!

This is great and well worth your investment in time to read and bookmark. I think this could provide you with a clear roadmap on what you need to do in your own organisation.