Data Platform Data Scientist Metadata 
IBM Journey to AI blog
OCTOBER 4, 2023
A lakehouse should make it easy to combine new data from a variety of different sources, with mission critical data about customers and transactions that reside in existing repositories. Also, a lakehouse can introduce definitional metadata to ensure clarity and consistency, which enables more trustworthy, governed data.
IBM Journey to AI blog
JULY 17, 2023
Within watsonx.ai, users can take advantage of open-source frameworks like PyTorch, TensorFlow and scikit-learn alongside IBM’s entire machine learning and data science toolkit and its ecosystem tools for code-based and visual data science capabilities. Later this year, it will leverage watsonx.ai
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AWS Machine Learning Blog
OCTOBER 20, 2023
Data scientists from ML teams across different business units federate into their team’s development environment to build the model pipeline. Data scientists search and pull features from the central feature store catalog, build models through experiments, and select the best model for promotion.
Pickl AI
APRIL 14, 2023
Falling into the wrong hands can lead to the illicit use of this data. Hence, adopting a Data Platform that assures complete data security and governance for an organization becomes paramount. In this blog, we are going to discuss more on What are Data platforms & Data Governance.
Marktechpost
JUNE 5, 2024
As a result, it’s easier to find problems with data quality, inconsistencies, and outliers in the dataset. Metadata analysis is the first step in establishing the association, and subsequent steps involve refining the relationships between individual database variables.
AWS Machine Learning Blog
MAY 15, 2023
Among those algorithms, deep/neural networks are more suitable for e-commerce forecasting problems as they accept item metadata features, forward-looking features for campaign and marketing activities, and – most importantly – related time series features. He loves combining open-source projects with cloud services.
AWS Machine Learning Blog
NOVEMBER 15, 2023
This Lambda function identifies CTR records and provides an additional processing step that outputs an enhanced transcript containing additional metadata such as queue and agent ID information, IVR identification and tagging, and how many agents (and IVRs) the customer was transferred to, all aggregated from the CTR records.
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