Tuesday, 31 October 2017

19 top paying Internet-of-Things jobs by Bob Violino via @infomgmt

The Internet of Things remains one of the hottest trends in technology. Here's how the demand is translating to salaries for experienced professionals.

Good if you want to know what skills and roles you need to aim towards in your own career.

Monday, 30 October 2017

How to Spot a Machine Learning Opportunity, Even If You Aren’t a Data Scientist by Kathryn Hume via @HarvardBiz

Having an intuition for how machine learning algorithms work - even in the most general sense - is becoming an important business skill.

Interesting and definitely worth a read.

Sunday, 29 October 2017

Graph Databases Help Companies Unlock Connections Within Their Data by Tom Smith via @DZone

Once you become familiar with graph databases, you’ll expand your view of how to ingest and analyse unstructured data at speeds you cannot imagine.

This is in the form of an interview with Jim Webber, Chief Scientist at Neo4j. Really interesting.

Saturday, 28 October 2017

The Python and R Graph Gallery by/via @R_Graph_Gallery

This could be handy for your next Python or R data viz project: hundreds of charts along with the reproducible R and Python code.

Something to bookmark and keep for the next time you need to find a a great chart for your data.

Friday, 27 October 2017

WEBINAR: Predictive Forecasting with Time Series Analysis - 7 November 2017


Overview
Title: Predictive Forecasting with Time Series Analysis
Date: Tuesday, November 07, 2017
Time: 09:00 AM Pacific Standard Time
Duration: 1 hour
Summary
Predictive Forecasting with Time Series Analysis
The ability to accurately predict what is likely to happen at a point in the future, and build plans and strategies based on that knowledge, is essential to an organization’s success. But what happens when a forecast is inaccurate? What is the impact on a business, its customers or its partners? For businesses, the ability to catch even a tiny glimpse of what the future may hold can lead to happy customers, improved efficiency and productivity, and highly successful business decisions.
In this Data Science Central webinar learn how time series analysis better enables departments across your organization with actionable, more accurate insights related to the timing of equipment failure, customer offers, and the impact of effects like seasonality.
Speakers:
Murali Prakash,  IBM Product Manager  -- IBM SPSS
Mikhail Lakirovich, IBM Offering Manager  -- IBM SPSS
Douglas Stauber, IBM Offering Manager -- IBM SPSS
Hosted by: 
Bill VorhiesEditorial Director -- Data Science Central
 
IBM Logo
Register here

The Seven Deadly Sins of AI Predictions by Rodney Brooks via @techreview

"Mistaken extrapolations, limited imagination, and other common mistakes that distract us from thinking more productively about the future."

Great list and I agree with them 100%

Thursday, 26 October 2017

The top MDM and data governance consultancies by David Weldon via @infomgmt

The Master Data Management Institute offers its picks for the top global and regional systems integrators, and advice on how organisations can best work with them.

Great lists of consultancies and integrators for MDM.