Microsoft’s data lakes meet the industrial internet of things, helping you create complex models with data from multiple ...

Arthur Orts, Bloomberg’s Head of Portfolio Analytics ... high-quality data model is essential. Finally, to truly harness the power of AI, an API-driven architecture is the way to go.

Unique associative model allows for data discovery without predefined queries. Scalable architecture suitable ... processing to real-time analytics and machine learning — making it a versatile ...

Data modeling refers to the architecture that allows data analysis to ... Models “A data model can be compared to a roadmap, an architect’s blueprint or any formal diagram that facilitates ...

40 As a result of these factors, making use of routinely collected health data was a difficult and time-consuming task. This article documents the establishment of data and analytics platform for a ...

This paper presents the features and functions, architectural models, software engineering diagrams ... anticipation, self-learning, self-organization, and (2) the Gartner's Analytics Ascendancy Model ...

Sparse data can impact ... component analysis or feature hashing. Both of these practices help to remove unnecessary variables in the training set to help the model perform better. Most importantly, ...

Using data flow diagrams, it is possible to know the flow of data through each of the systems and processes being used within your organization. Though often used during the development of a new ...

The traffic emission monitoring and forecasting system's ... world traffic data, showing that our model outperforms than the state-of-art, especially in the long-term prediction situation. Based on ...