Analytics

Big data and machine learning – is the glass half empty?

Artificial intelligence (AI) is receiving much attention in light of big data and machine learning accomplishments. However, machine learning only represents half of the AI story.

Final Four: March Madness data lessons

What March Madness can teach healthcare CIOs and technology leaders about data mining.

Are healthcare CIOs being cut out of the analytics loop?

The onset of u2018population health managementu2019 as a new model for delivering patient care is underscoring the need for IT leaders to strike the right balance between both clinical and business intelligence, even it means not u2018owningu2019 the

AtScale simplifies connecting BI tools to Hadoop

The startup, which specializes in creating OLAP-like virtual cubes on Hadoop, has added a Hybrid Query Service Service that allows its platform to natively support MDX and SQL queries.

How to use CRM, marketing automation to improve hiring

Even though managing data can still be a struggle, itu2019s a key area for nurturing cross-functional collaboration.

How to use CRM, marketing automation to improve hiring

Next-generation talent management platforms offer new features that will help companies better source, engage and hire candidates.

Are your IT performance metrics measuring the right things?

CIOs need to make sure IT metrics align with business usersu2019 expectations.

Big data gets runtime specification

The ODPi Runtime Specification and test suite is designed to help organizations write Hadoop-based applications once with the confidence that they will run on a variety of Hadoop distributions.

How to use Microsoft Power BI for dashboards and more

Power BI brings intuitive data analysis to both the executive level as well as Microsoft Office power users who have a penchant for number crunching, data slicing and dicing, and reporting.

How predictive analytics keeps crowds flowing at Georgia Aquarium

Report: Big data is doomed unless basic data management improves

Big-data projects will never meet expectations if the underlying data is inaccurate or missing. Itu2019s time to fix the u201cdysfunctional cycle of data chaos,u201d says a report by TechVision Research.