Unite.AI

NOVEMBER 11, 2024

By leveraging machine learning algorithms, companies can prioritize leads, schedule follow-ups, and handle customer service queries accurately. Data ingested from all these sources, coupled with predictive capability, generates unmatchable analytics. Therefore, concerns about data privacy might emerge at any stage.

Data Ingestion 222

Data Ingestion AI AI Natural Language Processing 222

IBM Journey to AI blog

JANUARY 9, 2024

In the generative AI or traditional AI development cycle, data ingestion serves as the entry point. Here, raw data that is tailored to a company’s requirements can be gathered, preprocessed, masked and transformed into a format suitable for LLMs or other models. A popular method is extract, load, transform (ELT).

Data Ingestion 222

Data Ingestion Data Integration Data Quality LLM 222

AWS Machine Learning Blog

OCTOBER 23, 2024

By processing data closer to where it resides, SnapLogic promotes faster, more efficient operations that meet stringent regulatory requirements, ultimately delivering a superior experience for businesses relying on their data integration and management solutions. He currently is working on Generative AI for data integration.

Generative AI 84

Generative AI IDP LLM Automation 84

ODSC - Open Data Science

MAY 31, 2023

The Apache Kafka ecosystem is used more and more to build scalable and reliable machine learning infrastructure for data ingestion, preprocessing, model training, real-time predictions, and monitoring. A very common pattern for building machine learning infrastructure is to ingest data via Kafka into a data lake.

Machine Learning 131

Machine Learning Data Science Data Ingestion Neural Network 131

The MLOps Blog

JUNE 27, 2023

Learn more The Best Tools, Libraries, Frameworks and Methodologies that ML Teams Actually Use – Things We Learned from 41 ML Startups [ROUNDUP] Key use cases and/or user journeys Identify the main business problems and the data scientist’s needs that you want to solve with ML, and choose a tool that can handle them effectively.

Machine Learning 134

Machine Learning Metadata Data Scientist Data Quality 134

Pickl AI

OCTOBER 10, 2024

Introduction Data transformation plays a crucial role in data processing by ensuring that raw data is properly structured and optimised for analysis. Data transformation tools simplify this process by automating data manipulation, making it more efficient and reducing errors.

ETL 52

ETL Data Quality Machine Learning Business Intelligence 52

Pickl AI

AUGUST 6, 2024

Clustering Algorithms Techniques such as K-means clustering can help identify groups of similar data points. Isolation Forest This algorithm isolates anomalies by randomly partitioning the data. For instance, adjusting algorithms to account for anomalies can enhance forecasting accuracy.

Data Quality 52

Data Quality Algorithm Data Ingestion Machine Learning 52