In this week's real-time analytics news: The Linux Foundation and the World Bank released a free, online quantum computing training course to provide an understanding of how the technology could be used for complex decision making.
Data that is ready for machine learning will be observable, supported by real-time infrastructure, and primarily processed with streaming technologies.
IBM's Matt Roberts discusses the factors driving the demand for integration, common obstacles to success, and how the right integration technologies complemented with AI can help.
Making sense of AI decisions is important to researchers, decision-makers, and the wider public. Fortunately, there are methods available to ensure we know more.
With the proliferation of high-definition cameras, computer vision, and AI applications, retail stores can now get real-time insights while customers shop.
A new research collaboration will focus on Superlearners, a foundational machine learning technology that enables autonomy for all building applications.
Sponsored by Sumo Logic Visit Now Continuous Intelligence in the Real World Introduction Nearly every company in every industry has unique challenges and drivers around how to use data effectively to drive their business. The daunting task of dealing with the vast volumes of data that are used to spot problems in the making, optimize […]
As data management matures, unstructured data evolves from being a storage cost center to sitting at the epicenter of value creation.
In this week's real-time analytics news: NVIDIA announced the general availability of NVIDIA AI Enterprise 2.1, its end-to-end AI and data analytics software suite.
Real-Time eCommerce analytics means fast decision-making as the data is processed right upon entering the database.