SLIDESHOW: 20 top platforms for analytics and business intelligence by David Weldon via @infomgmt

Tableau, Olik and Microsoft are among the leading vendors in the data analytics and BI space according to a new Gartner Magic Quadrant report.

I've used a few of these - it's an important thing to understand the differences between these tools - I know there are often company wide decision about the preferred tool, but sometimes it is worth investing in a different tool if it gives you a much better result for what you need to do.

Big Data misuse can break your business by/via @itsvit

Correct use of the Big Data analytics and ML algorithms helps boost the customer satisfaction, secure the bottom line and increase the ROI. Quite opposite, the Big Data misuse results will be awful.

As this article points out, it is crucial that you use the data correctly so you make the right conclusions.

Taking advantage of applied AI in Manufacturing by Beena Ammanath via ‎@xplorexit

The manufacturing digital revolution is happening as the factory floor gets connected and we are able to achieve production at a scale with lower cost and increased quality.

Manufacturing is definitely an area that can benefit greatly from analytics, AI, IoT etc.  In order to survive these skills are becoming a necessity not a nice to have.

Making AI software smarter by adding human feedback by Kayla Matthews via @infomgmt

Developers can now really push the limits of their artificial intelligence platforms, giving them not just more human-like and life-like speech patterns, but also more accurate responses.

This sounds like a promising method of improving AI and I think it has to be the right way to go if you want to try and emulate human decision making.

Successful data management strategies start with quality control by Martin Doyle via @infomgmt

There is the obvious waste in data, but it’s the bad decisions - when based upon false information - made with a high degree of certainty that do the real damage.

Bad quality data gives you results that you cannot rely on - if you can't rely on it what is the point doing anything with it?  I certainly wouldn't risk my business on decisions made with bad data.

Three sectors being transformed by artificial intelligence by Matt Zeiler via @infomgmt

Retail, insurance and government are three areas where AI will be implemented this year in ways we haven't seen before.

I found this a really good summary of how both ML and AI are being used and the areas that are focusing on them.

Ethical Data Practices by/via @datadotworld

The data ethics discussion has been taken up a notch by the team at data.world. This crowd-sourced effort includes a set of principles for ethical data sharing and a manifesto for data teams. This is worth paying attention to and even better, get involved.

I encourage you to read and understand this as I think it is a great idea/ You can sign up for it on the site.