Overcoming the Obstacles to Real-Time Analytics
A discussion about what real time really means, the challenges companies face when trying to do real-time analytics, and the benefits that can be realized when …
A discussion about what real time really means, the challenges companies face when trying to do real-time analytics, and the benefits that can be realized when …
The Vertica SQL database and in-database machine learning solutions support the entire predictive analytics process with massively parallel processing and a …
Businesses moving data into and out of cloud platforms often lack insights into data quality, utilization, costs, and more. Here, we interview Acceldata’s …
A hybrid cloud approach lets businesses essentially pick and choose the various aspects of their analytics and ML workloads that they want to keep on-premises …
Hybrid cloud deployments are the new norm, allowing workloads and data to run and reside on a combination of on-premises systems, private clouds, and public …
With the proliferation of high-definition cameras, computer vision, and AI applications, retail stores can now get real-time insights while customers
Increasingly, digital businesses are using real-time behavioral analytics on pre-submitted data to look for criminal digital footprints and enhance their fraud …
Managing database access can be a bane of many organizations developing modern applications. RHODA simplifies the process while offering the visibility, …
IBM recently announced the latest evolution of the IBM MQ Appliance — the
Advice for developing a continuous intelligence strategy to support digital transformation, reliability, and security