Data science News
September 15, 2017
This is a guest blogpost by Vera Loftis, UK managing director, Bluewolf The availability of real time customer data and the increasing capability of companies to analyse and create actionable ...
August 07, 2017
Machine learning helped Monsanto slash carbon emissions; 'decision science' is disrupting its business processes: CIO Jim Swanson talks digital upheaval with SearchCIO.
August 03, 2017
This is a guest blog post by Jane Zavalishina, CEO, Yandex Data Factory Well-established enterprises like retailers or manufacturing companies now have an abundance of data at their disposal. ...
July 17, 2017
The chief data officer's next challenge may be to find storytellers who can explain machine learning for data science to decision-makers in the organization.
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In this video, Cloud Technology Partners' Ed Featherston offers advice on the steps that CIOs should take when implementing machine learning projects and the kind of talent they should hire to help. Continue Reading
Currently ranking as top job in the U.S., the data scientist role is in high demand. Here's what you need to know to succeed. Continue Reading
Data scientists aren't born -- they're made. IT pros from a wide range of backgrounds are working to gain the data science skills for which companies are looking. Continue Reading
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Why do companies adopt big data, cloud and other forms of virtualized IT? They do it to support a growing decision support model. Continue Reading
To date, the Hadoop data scientist has had to be a superhero, with a mix of data engineering, administration and analysis skills. Self-service tools will change that, but not overnight. Continue Reading
Algorithms govern many facets of our lives. But imperfect logic and data sets can make results worse instead of better, so it behooves all of us to think like data scientists. Continue Reading
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Businesses are still looking for ways to unleash the full benefits of data science and analytics. This podcast looks at ways some companies are finding success. Continue Reading
In the face of burgeoning digital disruption, startups and established companies alike are responding with changes to their big data architectures and data engineering processes. Continue Reading
Big data algorithms are at the heart of some travel snafus of late. Increasingly, data analytics teams need to look deeper into how algorithms work and the data on which they feed. Continue Reading
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Turning IoT data into actionable insights requires an integrated approach. Mark Troester of Progress explains how it can be done. Continue Reading
Having data scientists build analytical models doesn't do much for an organization if the models don't help generate business benefits. Here are some ways to make sure they do. Continue Reading