CIO Business Intelligence
JANUARY 17, 2024
Following this, in 2002, it began delivering its knowledge to customers in online format, using dashboards and interactive reports that provided easier and faster access to data and analysis. Additionally, it continuously explores reams of data and modern tools to improve its capabilities and adapt to the changing data landscape.
AWS Big Data
MAY 4, 2023
After deployment, the user will have access to a Jupyter notebook, where they can interact with two datasets from ASDI on AWS: Coupled Model Intercomparison Project 6 (CMIP6) and ECMWF ERA5 Reanalysis. Dataset Variables Disk Size Xarray Dataset Size Region ERA5 2011–2020 (120 netcdf files) 53.5GB 364.1
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DataRobot Blog
MAY 26, 2022
When the FRB’s guidance was first introduced in 2011, modelers often employed traditional regression -based models for their business needs. Furthermore, through its interactive interface, the modeler is able to do multiple what-if analyses to see the impact of changing the prediction threshold on the corresponding model precision and recall.
Domino Data Lab
JANUARY 6, 2019
We also launched the Oriole interactive format (Jupyter + Docker + video), founded the business unit for the popular Live Online Training , created an API/microservice for formative self-assessment , and helped organize Ed Foo – a “Foo Camp” about Education produced by O’Reilly and Google, along with help from Macmillan, Sci Am, Sesame Street, etc.
datapine
APRIL 15, 2020
It’s necessary to say that these processes are recurrent and require continuous evolution of reports, online data visualization , dashboards, and new functionalities to adapt current processes and develop new ones. The term “agile” was originally conceived in 2011 as a software development methodology.
IBM Big Data Hub
OCTOBER 12, 2023
Early iterations of the AI applications we interact with most today were built on traditional machine learning models. For example, Apple made Siri a feature of its iOS in 2011. This understanding can affect how the AI interacts with those around them. In theory, this would allow the AI to simulate human-like relationships.
Domino Data Lab
APRIL 3, 2019
That resulted in server farms, collecting volumes of log data from customer interactions, data which was then aggregated and fed into machine learning algorithms which created data products as pre-computed results, which in turn made web apps smarter and enhanced e-commerce revenue. Instead, they refactored their monolithic web apps (e.g.,
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