IBM Journey to AI blog

JANUARY 5, 2023

Poor data quality is one of the top barriers faced by organizations aspiring to be more data-driven. Ill-timed business decisions and misinformed business processes, missed revenue opportunities, failed business initiatives and complex data systems can all stem from data quality issues.

Data Quality 130

Data Quality Metadata ETL Big Data 130

Pickl AI

OCTOBER 19, 2023

Data quality plays a significant role in helping organizations strategize their policies that can keep them ahead of the crowd. Hence, companies need to adopt the right strategies that can help them filter the relevant data from the unwanted ones and get accurate and precise output.

Data Quality 52

Data Quality ETL Machine Learning Data Ingestion 52

Pickl AI

AUGUST 1, 2023

Data Engineering plays a critical role in enabling organizations to efficiently collect, store, process, and analyze large volumes of data. It is a field of expertise within the broader domain of data management and Data Science. Salary of a Data Engineer ranges between ₹ 3.1 Lakhs to ₹ 20.0

Big Data 52

Big Data Data Analysis Data Scientist Data Ingestion 52

Unite.AI

DECEMBER 5, 2023

These can include structured databases, log files, CSV files, transaction tables, third-party business tools, sensor data, etc. The pipeline ensures correct, complete, and consistent data. The data ecosystem is connected to company-defined data sources that can ingest historical data after a specified period.

Metadata 162

Metadata Big Data ETL Data Ingestion 162

The MLOps Blog

JUNE 27, 2023

Core features of end-to-end MLOps platforms End-to-end MLOps platforms combine a wide range of essential capabilities and tools, which should include: Data management and preprocessing : Provide capabilities for data ingestion, storage, and preprocessing, allowing you to efficiently manage and prepare data for training and evaluation.

Machine Learning 134

Machine Learning Metadata Data Scientist Data Quality 134