Data has exploded in recent years, and it's not slowing down—in fact, the growth is only going to get faster. The companies that survive and excel are the ones that not only embrace the challenge of dealing with the data, but use it as an opportunity to gain more insight than ever into their business and customers.
Companies today are not just dealing with "big data"—they are dealing with big, complex, and always-on data. Learn how to handle the challenges of unstructured data, and how to use the right architectureal approach to thrive in the era of big data.
Native integration between the vendors' platforms aims to simplify and speed development of AI and analytics tools for current ...
As AI automates more tasks handled by data engineers, the role is shifting from pipeline building to strategic skills that keep ...
Compare Datadog vs. New Relic capabilities including alerts, log management, incident management and more. Learn which tool is ...
Many organizations struggle to manage their vast collection of AWS accounts, but Control Tower can help. The service automates ...
Business executives can use different tools and methods to get digital signatures to close deals, but some important security ...
To conduct a content audit, enterprises should follow eight comprehensive steps to improve their content performance, audience ...
Oracle has made it easier for customers to choose and launch third-party software onto its cloud. Now, the question is whether ...
Part two of a two-part article: Willis uses PeopleSoft 9.1 to bring back the personal feel to automated insurance selection for ...
New AI-driven applications for supply chain, procurement and CX also shared the spotlight as SAP strives to portray its broad ...
In this Q&A, Michael Lemashov and Denis Malov of JDC Group discuss the strategies for SAP customers to achieve a clean core and ...