The 4th Shift in the Evolution of Finding Insights from Data
Real-time analytic databases that combine CRUD with streams for high concurrency and sub-second response times across billions of data points are needed for …
Delivering nearly instantaneous decisions based on rules and predictive analytics; software generates decisions within a business process and reveals insights by analyzing data flowing through processes in real time to create actionable intelligence.
Real-time analytic databases that combine CRUD with streams for high concurrency and sub-second response times across billions of data points are needed for …
The real-time data "provides a level of understanding commentators and fans could previously only speculate about, like the probability of making an attempted …
Data that is ready for machine learning will be observable, supported by real-time infrastructure, and primarily processed with streaming technologies.
The report also claims there’s a potential to squeeze out an additional $2.6 trillion in revenue if more companies made the switch to
With the proliferation of high-definition cameras, computer vision, and AI applications, retail stores can now get real-time insights while customers
While $1.1 trillion annually is being invested in digital factory initiatives worldwide, most companies, 64%, are still at an early stage of their digital …
Increasingly, digital businesses are using real-time behavioral analytics on pre-submitted data to look for criminal digital footprints and enhance their fraud …
Instead of just opening up closed-off systems via APIs, many businesses are looking to use event-based triggers as well to react to changes in real time.
Real-Time eCommerce analytics means fast decision-making as the data is processed right upon entering the database.
Advice for developing a continuous intelligence strategy to support digital transformation, reliability, and security