IBM Journey to AI blog

JANUARY 8, 2024

Becoming a real-time enterprise Businesses often go on a journey that traverses several stages of maturity when they establish an EDA.  It includes a built-in schema registry to validate event data from applications as expected, improving data quality and reducing errors.

EDA 92

EDA Apache Kafka Clustering Data Governance 92

Pickl AI

JULY 25, 2023

Their primary responsibilities include: Data Collection and Preparation Data Scientists start by gathering relevant data from various sources, including databases, APIs, and online platforms. They clean and preprocess the data to remove inconsistencies and ensure its quality.

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52

Heartbeat

MAY 29, 2023

It is therefore important to carefully plan and execute data preparation tasks to ensure the best possible performance of the machine learning model. It is also essential to evaluate the quality of the dataset by conducting exploratory data analysis (EDA), which involves analyzing the dataset’s distribution, frequency, and diversity of text.

Machine Learning 78

Machine Learning Machine Learning Natural Language Processing Data Preparation 78