Key data and analytics trends in 2026 include decision intelligence, real-time analytics, semantic layers, platform ...

Data insights have never been more vital to business operations than they are today. Line-of-business (LOB) teams rely on data insights to drive sustainable growth, lead business operations, and ...

Input from theCUBE and data practitioner communities suggests that acceleration in compute performance and the sophistication of the modern data stack is outpacing the needs of many traditional ...

This article was submitted in response to the call for ideas issued by the co-chairs of the National Security Commission on Artificial Intelligence, Eric Schmidt and Robert Work. It responds to the ...

In this series, we dive into technologies and industries we’re excited about, going deep into their change drivers and stakeholders while exploring investment trends and opportunities through an early ...

Analytics on the warehouse unlock insights and analysis that aren't possible in third party tools. Your organization can make better decisions, faster when you use your data warehouse as a central ...

One of the reasons that Big Data analytics is so cumbersome and expensive to implement is all the requisite software modules required to build a compete application. Accelerite today moved to reduce ...

In my research on Productized Analytics, I explained how various vendors have created products with different degrees of freedom that are targeted at the needs of users with varying desire and ability ...

SANTA CLARA, Calif.--(BUSINESS WIRE)--Accelerite, a provider of infrastructure software for digital transformation, today announced ShareInsights 2.0, an end-to-end, self-service big data analytics ...

At CES, Wolfram is pitching its numerical analysis middleware as the lingua franca for the so-called Internet of Things Banking on its deep expertise in mathematical analysis and visualization, ...