Flipboard

JUNE 17, 2025

As a result, the competitive edge is shifting toward data access and data quality. The challenge is how to use that data. Transforming unstructured files, maintaining compliance, and mitigating data quality issues all become critical hurdles when an organization moves from AI pilots to production deployments.

Data Quality 127

Data Quality AWS AI AI 127

ODSC - Open Data Science

JUNE 16, 2025

West 2025’s 300 hours of content will feature 250+ of the best and brightest minds in data science and AI leading hands-on training sessions, workshops, and talks. These sessions will run the gambit from deep dives into core data science skills and techniques to nuanced explorations of cutting-edge AI developments.

Data Science 52

Data Science Artificial Intelligence Artificial Intelligence Machine Learning 52

IBM Journey to AI blog

MAY 15, 2024

Organizations require reliable data for robust AI models and accurate insights, yet the current technology landscape presents unparalleled data quality challenges. ETL/ELT tools typically have two components: a design time (to design data integration jobs) and a runtime (to execute data integration jobs).

Data Pipeline 85

Data Pipeline ETL SQL Database 85

Precisely

JANUARY 9, 2023

With global data creation projected to grow to more than 180 zettabytes by 2025 , it’s not surprising that more organizations than ever are looking to harness their ever-growing datasets to drive more confident business decisions. As data initiatives become more sophisticated, organizations will uncover new data quality challenges.

Data Governance 81

Data Governance Data Quality Data Observability Data Pipeline 81

Towards AI

FEBRUARY 17, 2025

Last Updated on February 17, 2025 by Editorial Team Author(s): Paul Ferguson, Ph.D. RAFT vs Fine-Tuning Image created by author As the use of large language models (LLMs) grows within businesses, to automate tasks, analyse data, and engage with customers; adapting these models to specific needs (e.g., balance, outliers).

Database 89

Database Data Pipeline Data Preparation Data Quality 89

Pickl AI

DECEMBER 9, 2024

Introduction Big Data continues transforming industries, making it a vital asset in 2025. The global Big Data Analytics market, valued at $307.51 Key challenges include data storage, processing speed, scalability, and security and compliance. What is the Role of Zookeeper in Big Data? What is Schema-on-read?

Big Data 52

Big Data Big Data Hadoop Apache Kafka 52

Pickl AI

NOVEMBER 4, 2024

Effective data governance enhances quality and security throughout the data lifecycle. What is Data Engineering? Data Engineering is designing, constructing, and managing systems that enable data collection, storage, and analysis. ETL is vital for ensuring data quality and integrity.

Data Engineering 52

Data Engineering Data Engineering Data Engineer Data Engineering 52