Sentence examples for analytics functionality from inspiring English sources
Big data analytics functionality is likely to accelerate in the world of cloud analytics instead of being just a subset of what is available in non-cloud products.
And BINA Technologies, which recently closed a $8 million series B investment round, has released a set top box device with the big data analytics functionality.
"Storage and compute services come with those tools and apps, but the SMB is subscribing to analytics functionality rather than simply a storage solution," Vesset said.
Because application (and database and data analytics) functionality needs change quite naturally over time as a result of business cycles, changing user preferences, changing application use cases and the wider platform evolution(s) happening across the whole IT landscape.
In the blueprint, HESA acts as a single centralized data collector and governance body for HE data, with other data collectors then accessing information via a HESA-maintained data warehouse, mediated through analytics functionality provided by other third-party data services providers.
From pens to office furniture to clothing to household tools, consumer goods are increasingly decked with sensors and auto-analytics functionality.
These include finding more specific markers for CTCs as well as enhancing the throughput, sensitivity, and analytic functionality of current devices.
Amazon had already been using the Oracle 8i database for transaction processing, and will now have analytic functionality added on top of it, according to Michael Howard, vice president of Oracle's data warehouse program office.
The key to Watson's analytic functionality is DeepQA (Deep Question Analytics), a massively parallel probabilistic architecture that uses and combines more than 100 different techniques a mixture of knowledge and neural net techniques to analyze natural language, identify sources, find and generate hypotheses, and then evaluate evidence and merge and rank hypotheses.
But, in SINTEF's assessment, it is not strictly necessary to transmit such data for analytics and functionality testing (A/B testing) purposes.
For example, customers use it for real-time analytics, social app functionality and tasks such as job management.
