Forecasting KPI Metadata Modeling 
AWS Big Data
MARCH 25, 2024
Foundation models (FMs) are large machine learning (ML) models trained on a broad spectrum of unlabeled and generalized datasets. They can perform a wide range of different tasks, such as natural language processing, classifying images, forecasting trends, analyzing sentiment, and answering questions.
Rita Sallam
APRIL 2, 2023
Interpretation of our machine learning model suggests buying $50k in building coverage and $100k in warehouse content coverage, as the latter significantly boosts predicted flood claim payouts. Pattern-basis can also consist of gradual drift and shift of workload patterns and this can be built into a predictive efficiency model.
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FineReport
FEBRUARY 5, 2020
Metadata management. Users can centrally manage metadata, including searching, extracting, processing, storing, sharing metadata, and publishing metadata externally. The metadata here is focused on the dimensions, indicators, hierarchies, measures and other data required for business analysis. Analytics dashboards.
AWS Big Data
JUNE 15, 2023
With automated data preparation in QuickSight Q, the model will do a lot of the topic setup for you, but there is some context that is specific to your business that you need to provide. Semantic types also help the model in several other ways, including mapping terms like “most expensive” or “cheapest” to Currency. Date Part : When?
AWS Big Data
JUNE 14, 2023
For example, AWS Professional Services launched Financial Insights Tool (FIT) 2 years ago, a QuickSight dashboard that reports project financials, project revenue leakage, and margin erosion by evaluating actuals and forecasts at any granularity. Last year, this team also reported over 29,600 distinct views on their 19 dashboards.
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