Accelerate your analytics journey with expert services, enablement and support
Accelerate your analytics journey with expert services, enablement and support
Amazon is forecasting doom for on-prem data centers, but the reality is a lot more complicated
Some organizations are wary of taking on enterprise-level data and analytics efforts, but getting them right will deliver phenomenal results.
The value of data is getting increasing attention from boards and CXOs as digital technologies disrupt entire industries, so getting a handle on the enterprise value of data is becoming more important for most corporations.
Enterprise data-center pros are embracing cloud services, growing high-speed networks, enabling remote workforces, and adopting automation and AI.
A virtual ADC adds another level of application acceleration and traffic handling, especially when it comes to data center environments that now include containers, microservices and cloud-based applications.
10 Reasons CPG Data Analysts Are Struggling With POS Data Integration.
AWS CTO Werner Vogels listed multiple enterprises that are abandoning data centers to move workloads to the cloud. Don’t expect the data center to disappear completely, though.
Google, along with researchers at Stanford University and Brown University, have extended the open-source Snorkel tool to make it industrial-strength for enterprise machine learning. The work points the way to a path beyond traditional data integration.
By Impetus<br>Despite the advances in technology, managing data is still an arduous task — ensuring its continued relevance, storing and securing it without a glitch and using that voluminous information to your advantage is difficult at times, and requires a smoothened and streamlined process flowchart<br>Determine the emerging importance, significant value and long-term benefits of the adoption of a Data Lake - a pioneering idea…
Sick of hearing about Big Data? Many integrated marketers are. That’s because mining Big Data calls for Big Dollar platforms and special expertise today’s smaller firms often can’t afford. But does that mean little guys are doomed to be the data have-nots? Some experts say no. Leveraging Little Data As we’ve been reporting, small and …
By humanising data through visual formats brands and retailers can improve business operations, sales, margins and profits
Today's leaders in marketing and analytics are ignoring hunches and using advanced technology and machine learning to increase speed to insight and action.
After three years of testing, Meta has found its preferred approach for detecting silent data corruptions.
Companies increasingly rely on massive data troves to make decisions and interact with customers, and when the data is good, results can be amazing. But what if it gets corrupted or lost? Bad data costs US businesses hundreds of billions of dollars annually...
Etsy's approach to collaboration are key to efficiency just as much as tuning different pieces of its data center.
We're inundated with exciting new enterprise tech. But for it all to amount to more than the sum of its parts, we need to address certain longstanding problems
The IoT will have a great impact on the economy by transforming many enterprises into digital businesses
Survey finds that companies are not using structured data, such as XBRL, in their financial reporting except when they have to for reporting to regulators.
Increasingly enterprise IT is thought of as irrelevant and lacking the skill sets for an as-a-service world, says Accenture. Steps can be taken, however, to alleviate the situation.
What enterprises are doing now with hybrid cloud is more sophisticated than you might think.