CIO Business Intelligence

FEBRUARY 10, 2023

With the help of sophisticated predictive analytics tools and models, any organization can now use past and current data to reliably forecast trends and behaviors milliseconds, days, or years into the future. Predictive analytics has captured the support of wide range of organizations, with a global market size of $12.49

Predictive Analytics 145

Predictive Analytics Analytics Predictive Modeling Forecasting 145

O'Reilly on Data

JUNE 18, 2019

Depending completely on human labeling for these examples is simply a non-starter; as ML models get more complex and the underlying data sources get larger, the need for more data increases, the scale of which cannot be achieved by human experts. Ihab Ilyas on “Why data preparation frameworks rely on human-in-the-loop systems”.

Machine Learning 264

Machine Learning Data Quality Statistics Modeling 264

Cloudera

FEBRUARY 16, 2022

We can think of model lineage as the specific combination of data and transformations on that data that create a model. This maps to the data collection, data engineering, model tuning and model training stages of the data science lifecycle.

Machine Learning 85

Machine Learning Modeling Metadata Recreation/Entertainment 85

Jedox

JULY 23, 2019

Paresh Mistry has published a blog which provides a good framework as a starting point. Once cleansed, its possible to enrich the data. For example a customer name and ID is not as valuable as the customer’s postal code, income bracket or other spending habits which could be enriched from data collected from Google for example.

Technology 52

Technology Forecasting Finance Data-driven 52

Rocket-Powered Data Science

JULY 6, 2021

Customer purchase patterns, supply chain, inventory, and logistics represent just a few domains where we see new and emergent behaviors, responses, and outcomes represented in our data and in our predictive models. 7) Deep learning (DL) may not be “the one algorithm to dominate all others” after all.

Machine Learning 279

Machine Learning Data-driven IoT Deep Learning 279

Jet Global

MAY 9, 2024

Machine Learning Pipelines : These pipelines support the entire lifecycle of a machine learning model, including data ingestion , data preprocessing, model training, evaluation, and deployment. API Data Pipelines : These pipelines retrieve data from various APIs and load it into a database or application for further use.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

Jet Global

MAY 1, 2023

Let’s just give our customers access to the data. You’ve settled for becoming a data collection tool rather than adding value to your product. While data exports may satisfy a portion of your customers, there will be many who simply want reports and insights that are available “out of the box.”

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52