IBM Journey to AI blog

JANUARY 5, 2023

The first generation of data architectures represented by enterprise data warehouse and business intelligence platforms were characterized by thousands of ETL jobs, tables, and reports that only a small group of specialized data engineers understood, resulting in an under-realized positive impact on the business.

Data Quality 130

Data Quality Metadata ETL Big Data 130

IBM Journey to AI blog

JANUARY 18, 2023

Data platform architecture has an interesting history. A read-optimized platform that can integrate data from multiple applications emerged. In another decade, the internet and mobile started the generate data of unforeseen volume, variety and velocity. It required a different data platform solution.

Data Platform 130

Data Platform ETL Metadata Data Discovery 130

Pickl AI

APRIL 26, 2024

This comprehensive blog outlines vital aspects of Data Analyst interviews, offering insights into technical, behavioural, and industry-specific questions. It covers essential topics such as SQL queries, data visualization, statistical analysis, machine learning concepts, and data manipulation techniques.

Data Analysis 52

Data Analysis Machine Learning ETL Explainability 52

The MLOps Blog

MARCH 15, 2023

Dagster Supports end-to-end data management lifecycle. Its software-defined assets (announced through Rebundling the Data Platform ) and built-in lineage make it an appealing tool for developers. Seamless integration with many data sources and destinations. Uses secure protocols for data security.

ETL 59

ETL Categorization Automation Data Integration 59

AWS Machine Learning Blog

AUGUST 4, 2023

As a result, businesses can accelerate time to market while maintaining data integrity and security, and reduce the operational burden of moving data from one location to another. With Einstein Studio, a gateway to AI tools on the data platform, admins and data scientists can effortlessly create models with a few clicks or using code.

Data Scientist 73

Data Scientist ML ETL AI 73

The MLOps Blog

JANUARY 26, 2024

Keeping track of how exactly the incoming data (the feature pipeline’s input) has to be transformed and ensuring that each model receives the features precisely how it saw them during training is one of the hardest parts of architecting ML systems. This is where feature stores come in. What is a feature store?

Machine Learning 72

Machine Learning Metadata ML Python 72

IBM Journey to AI blog

JULY 17, 2023

The watsonx platform has three components: watsonx.ai (now available), watsonx.data (now available) and watsonx.governance (expected availability in November). In this blog, I will cover: What is watsonx.ai? The post Exploring the AI and data capabilities of watsonx appeared first on IBM Blog. What is watsonx.data?

Machine Learning 165

Machine Learning AI AI Automation 165