Russia's banks prepare to hit the `gas' on digital currency use by Ilya Khrennikov and Jake Rudnitsky via @infomgmt

The firms are hoping that by adopting the technology they will make payments safer and faster, while thrusting Russia to the forefront of a trend that’s transforming the financial industry.

Interesting development and something to watch.

Adopting AI in the Enterprise: Ford Motor Company by Medha Agarwal via @OReillyMedia

Dimitar Filev, executive technical leader at Ford Research and Advanced Engineering, explains how Ford is bringing cutting-edge computational intelligence to cars and the factories that build them.

Nice to understand the view from the car makers side as we all know it is coming to us.

IoT, automation projects drive rise in IT spending by Elliot M Kass via @infomgmt

Worldwide IT spending will rise to $3.5 trillion in 2017, a 2.4 percent increase from 2016, according to industry researcher Gartner

IoT is definitely a growth area at the moment - both in actual projects and articles being published about it.

How to Build a Data Science Pipeline by Balázs Kégl via @TDataScience

Start with y. Concentrate on formalising the predictive problem, building the workflow, and turning it into production rather than optimising your predictive model. Once the former is done, the latter is easy.

Interesting post which is more useful than the initial description of it suggests.

The 4 Types of Data Analytics by Thomas Maydon via @PrincipaD

This blog post focuses on the four types of data analytics we encounter in data science: Descriptive, Diagnostic, Predictive and Prescriptive.

This is a great blog post and contains some great charts and knowledge that could be used in your organisation to sell data analytics.

GDPR: About to Lose Your BI and Analytics? How to Save Your Investment by Majken Sander via @TimeXtender

Are you facing the risk of losing the investment you’ve made in your BI and Analytics Program? The first examples of companies choosing to shut down parts of their BI and analytics solutions have started to surface.

Interesting. I guess if you were better organised and had a Data Protection Officer (or similar) it could not stop the use of your data.

Why Big Data Enhances the Need for Enterprise Information Management by @s11ravindra via @datanami

Many EIM (enterprise information management) or data management programs do not live up to their potential, and the arrival of big data makes the need for enterprise information and data management even more significant.

The article makes a number of great points and I have to agree with him. It all sounds great and sounds like an ideal set of systems to work on. I think this could give you the start of a blueprint of what needs to be in place for success.