Digital transformation initiatives and becoming a data-driven organization go hand in hand. But data managers, data scientists and business analysts continue to wrestle with the challenge of deriving ...

Data management, already of significant importance for operational and business intelligence purposes, has taken on a new level of priority for businesses and organizations as the wave of AI ...

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 ...

Keeping up with the ever-changing nature of business intelligence, MicroStrategy has revamped and expanded its line of BI software to incorporate big-data analytics and desktop visualization.A “We’re ...

In today’s business landscape, data is the key ingredient to long-term growth. However, specialized tools and software are required to translate data into actionable insights. Without it, the data is ...

Tools will enable buy-side clients at Virtu to manage data across trading strategy selection, cost attribution and counterparty evaluation. Virtu Financial has rolled out two big data analytics tools ...

Big data keeps getting bigger, but not every activity involving the use of this data is created equal. Sometimes, utilizing data is like running a small but critical errand at the corner store. At ...

Kevin Davis, vice president for public sector at Splunk (Nasdaq: SPLK), has said government agencies should implement big data and analytics platforms in an effort to generate insights or œoperational ...

The semiconductor industry has come a long way since integrated circuits (ICs) were designed using a pen and heaps of graph paper. Modern chip architects make heavy use of electronic design automation ...

We cover some of the most popular big data tools for Java developers. Discover the best big data tools and what to look for. In the modern era of data-driven decision-making, the abundance of data ...

Big Data analytics requirements have forced a huge shift in data storage paradigms, from traditional block- and file-based storage networks to more scalable models like object storage, scale-out NAS ...