AWS Machine Learning Blog

OCTOBER 9, 2024

Amazon Lookout for Metrics is a fully managed service that uses machine learning (ML) to detect anomalies in virtually any time-series business or operational metrics—such as revenue performance, purchase transactions, and customer acquisition and retention rates—with no ML experience required.

Data Quality 94

Data Quality ML Machine Learning ETL 94

IBM Journey to AI blog

JULY 3, 2024

To power AI and analytics workloads across your transactional and purpose-built databases, you must ensure they can seamlessly integrate with an open data lakehouse architecture without duplication or additional extract, transform, load (ETL) processes.

Data Quality 112

Data Quality Metadata AI AI 112

AWS Machine Learning Blog

JUNE 25, 2024

To create and share customer feedback analysis without the need to manage underlying infrastructure, Amazon QuickSight provides a straightforward way to build visualizations, perform one-time analysis, and quickly gain business insights from customer feedback, anytime and on any device.

Automation 126

Automation Prompt Engineer Prompt Engineering Categorization 126

Becoming Human

JANUARY 23, 2023

Just like this in Data Science we have Data Analysis , Business Intelligence , Databases , Machine Learning , Deep Learning , Computer Vision , NLP Models , Data Architecture , Cloud & many things, and the combination of these technologies is called Data Science. So, it looks like magic but it’s not magic. If we talk about AI.

Data Science 105

Data Science Big Data Data Mining Deep Learning 105

Marktechpost

JULY 17, 2023

TIBCO Statistica With several collaboration and workflow capabilities included in the product to enable business intelligence throughout a company, TIBCO strongly emphasizes usability. This makes it a wise decision for your business if you anticipate using the tool by less experienced workers. Built to use predictive models.

Machine Learning 98

Machine Learning Data Mining Data Scientist Data Science 98

Marktechpost

JULY 23, 2023

It is an enterprise data warehouse and is part of business intelligence. It may be combined with TensorFlow and Cloud ML to build effective AI models. Applications involving analytics and artificial intelligence are appropriate. These can be used to develop and deploy ML models in the ecosystem.

Machine Learning 52

Machine Learning Big Data ETL Data Integration 52

Artificial Corner

JUNE 6, 2023

Data warehouses were designed to support business intelligence activities, providing a centralized data source for reporting and analysis. This multidimensional analysis capability makes OLAP ideal for business intelligence applications, where users must analyze data from various perspectives.

Data Mining 52

Data Mining Big Data ETL Machine Learning 52

Pickl AI

DECEMBER 10, 2024

Automated Data Integration and ETL Tools The rise of no-code and low-code tools is transforming data integration and Extract, Transform, and Load (ETL) processes. Feature Stores for AI/ML Feature stores play a vital role in operationalising Machine Learning (ML).

Explainable AI 52

Explainable AI Explainability ETL Automation 52

Unite.AI

MAY 21, 2024

As a high-performance analytics database provider, Exasol has remained ahead of the curve when it comes to helping businesses do more with less. We help companies transform business intelligence (BI) into better insights with Exasol Espresso, our versatile query engine that plugs into existing data stacks.

Software Development 162

Software Development Business Intelligence ETL Data Quality 162

IBM Journey to AI blog

AUGUST 4, 2023

Data mesh Another approach to data democratization uses a data mesh , a decentralized architecture that organizes data by a specific business domain. It uses knowledge graphs, semantics and AI/ML technology to discover patterns in various types of metadata. Then, it applies these insights to automate and orchestrate the data lifecycle.

Machine Learning 183

Machine Learning Metadata Automation AI 183