Data analytics, business intelligence and data visualization software are critical components of the big data technology stack. They are the tools that everyone from everyday business users to ...

Today's construction work is running up to the speed of technology development. Many people use Construction Data Analytics Software. It is considered as a powerful tool for the construction industry ...

Dr. Chris Hillman, Global AI Lead at Teradata, joins eSpeaks to explore why open data ecosystems are becoming essential for enterprise AI success. In this episode, he breaks down how openness — in ...

Tableau, TIBCO Data Science, IBM and Sisense are among the best software for predictive analytics. Explore their features, pricing, pros and cons to find the best option for your organization.

In the healthcare landscape, data is the new currency. It empowers medical professionals, administrators and policymakers, providing them with a wealth of information, from patient records and ...

Dr. Chris Hillman, Global AI Lead at Teradata, joins eSpeaks to explore why open data ecosystems are becoming essential for enterprise AI success. In this episode, he breaks down how openness — in ...

Developer fly planes. Okay, so they don’t really, but they do steer hugely complex code streams running multi-control enterprise software applications and data services that would baffle the average ...

Today’s “big data stack” includes databases, data management software and data analytics tools – all critical components of an effective operational or analytical data system. But all those ...

Businesses collect thousands of data points each day, but those that effectively use the data they’re collecting see an average increase of 8 percent in their revenues and an average decrease of 10 ...

Nothing is bigger these days than data, data, data. We have more data than ever before, and we have more ways to store and analyze it—SQL databases, NoSQL databases, distributed OLTP databases, ...

Digital transformation is reshaping oil & gas through AI and predictive analytics, , cutting costs, and modernizing energy ...

IT leaders in K–12 need visibility into their data on both a network and classroom level to simplify audits, manage budgets and improve security. Many K–12 districts are not using data analytics tools ...