Lost in Datafication? - A Typology of (Emotion) Data ContextualizationThis article elaborates on the meaning of "context" for data created in interdisciplinary research on emotions. Particularly with regard to the potential reuse of scientific data, the elicitation of......
Enable, standardize and automate digital data contextualization for your brand’s business model. Keep your customer data where you want it Unlike with traditional CDPs, there's no need to lift and shift all your data into a marketing cloud or CDP in order to use it. Pull only the data ...
Enable, standardize and automate digital data contextualization for your brand’s business model. Keep your customer data where you want it. Unlike with traditional CDPs, there's no need to lift and shift all your data into a marketing cloud or CDP in order to use it. Pull only the data...
Contextualization: Organization-Location-Job Field The data structure enables each customer to customize Oracle Taleo Enterprise Edition products such that they reflect how the customer does business. Each customer's organization is defined as a combination of three main elements: Organizations, Locations...
unified namespace. You see there indeed conventions like data contextualization. So adding context so you can have better data models to train your AI models on. It's all helping to get in a faster shape from how to move from one to thousand assets, for example, i...
Metadata and contextualization Make new users as effective as experts. Create reusable data structures and templates to aggregate and organize data in meaningful ways, such as by asset type or location. Analytics and event tracking Solve problems immediately and capture data related to important events...
Systems integration and automated data contextualization focus on integration of hardware, their control systems, and other operational tools, such as ELN, LIMS, or MES. However, the dynamic of wet-lab work does not always provide access to software interfaces for capturing all observations. Some ...
Complementing these management systems with data contextualization and digital twins allows operators to further optimize their energy consumption using load profiling and balancing, and process parameters; air temperature at the compressor intak...
Identifying the right data sources is ranked as the biggest challenge.(6) 4 W HITE PAPER / Searching for Alpha-Leveraging Alternative data sets and New Gen Technologies 4.2 Objectivity – Data Contextualization One of the major challenges in using the alternative data set being they are current ...
Although discussed within the context of fall risk with PD highlighted throughout, wearables (incorporating various sensing modalities including a camera) with AI-based CV contextualization (to automatically identify a range of objects, and items of interest to specific patient groups) could inform medi...