AI News

AUGUST 29, 2023

Analysts and thought leaders almost universally urge the importance of the CEO being actively involved in data initiatives. But what gets buried in the small print is the acknowledgement that many data projects never make it to production. In 2016, Gartner assessed it at only 15%. It’s all data driven,” Faruqui explains.

Data Ingestion 156

Data Ingestion Big Data Explainability ETL 156

Mlearning.ai

MAY 15, 2023

Photo by Andrew Neel on Unsplash Introduction If you are working or have worked on any data science task then you definitely used pandas. So, pandas is a library which helps with performing data ingestion and transformations. apply(lambda x: x.year) df.groupby('year')['Sales'].mean() Yearly average sales.

Data Ingestion 52

Data Ingestion Data Science OpenAI LLM 52

AWS Machine Learning Blog

JUNE 18, 2024

This manual synchronization process, hindered by disparate data formats, is resource-intensive, limiting the potential for widespread data orchestration. The platform, although functional, deals with CSV and JSON files containing hundreds of thousands of rows from various manufacturers, demanding substantial effort for data ingestion.

Generative AI 111

Generative AI Data Ingestion Python LLM 111

IBM Journey to AI blog

SEPTEMBER 11, 2023

Many consider a NoSQL database essential for high data ingestion rates. In 2016, Db2 for z/OS moved to a continuous delivery model that provides new capabilities and enhancements through the service stream in just weeks (and sometimes days) instead of multi-year release cycles.

Machine Learning 263

Machine Learning Data Ingestion Automation Data Scientist 263

AWS Machine Learning Blog

MARCH 29, 2023

there is enormous potential to use machine learning (ML) for quality prediction. ML-based predictive quality in HAYAT HOLDING HAYAT is the world’s fourth-largest branded baby diapers manufacturer and the largest paper tissue manufacturer of the EMEA. Two types of data sources exist for this use case.

ML 78

ML Machine Learning Algorithm Data Scientist 78

AWS Machine Learning Blog

SEPTEMBER 11, 2024

These activities cover disparate fields such as basic data processing, analytics, and machine learning (ML). ML is often associated with PBAs, so we start this post with an illustrative figure. The ML paradigm is learning followed by inference. The union of advances in hardware and ML has led us to the current day.

ML 86

ML Deep Learning Algorithm Large Language Models 86