Deep Learning and Google Street View Can Predict Neighbourhood Politics from Parked Cars by @BotJunkie via @IEEESpectrum

It's likely that your car says something about you. The make and model, whether it's foreign or domestic, and how expensive it is can provide information about who owns it.

This is very interesting.  I think this is not true for everyone, but you can certainly make all of these assumptions.

Google’s artificial intelligence built an AI that outperforms any made by humans by Dom Galeon and Kristin Houser via @Futurism

Google's AutoML project, designed to make AI build other AIs, has now developed a computer vision system that vastly outperforms state-of-the-art-models. The project could improve how autonomous vehicles and next-generation AI robots "see."

Wow - the future is definitely on the way and there are so many uses for this technology.

Fraud detection in retail with graph analysis by Jean Villedieu via @Analyticbridge

Fraud detection is all about connecting the dots. We are going to see how to use graph analysis to identify stolen credit cards and fake identities.

This is great and we can only hope that others are doing something similar to this in order to help us all avoid fraud.

Using data to drive a smarter way to faster insights by Maxim Lukichev via @infomgmt

Deep integration between master data management and analytics execution can provide schema synchronisation and offer new decision-making strategies.

A nice aim and something I hope sticks. At the very least lower paid people should be the ones looking at data cleanup as that should be easier to do.

Predictions 2018: The blockchain revolution will have to wait a little longer by Martha Bennett via @infomgmt

In the coming year, we expect to see a number of projects stopped that should never have been started in the first place.

It's a sad reality that if it is new and people or organisations don't fully understand it, that many projects will fail. A shame as I still think this technology has benefits, but maybe the wider business/IT world are not in the right place for it yet.

Backing Up Big Data? Chances Are You’re Doing It Wrong by @PeterSmails via @datanami

The increasing pervasiveness of social networking, multi-cloud applications and Internet of Things (IoT) devices and services continues to drive exponential growth in big data solutions.

I like that this contains two case studies and it makes perfect sense. You need to make sure that backups and recovery and always included in a big data project and that you treat it as a big data project not just a "normal" database.

WEBINAR: America’s data quality crisis - 12 December 2017

Dec. 12, 2017 | 2 PM ET/11 AM PT
Hosted by Information Management

Your company may have grand ambitions for analytics and AI. But you can’t 

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Join this interactive webinar – featuring renowned data quality expert Thomas “the Data Doc” 

Redman – to learn how you can turn your data quality issues around effectively and sustainably.

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• The cold, hard facts about enterprise data quality – and its business impact
• What it takes to permanently fix your data issues and your data culture
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Dr. Thomas Redman President Data Quality Solutions (Speaker)	Lenny Liebmann Contributing Editor SourceMedia (Moderator)

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Register here