Qualytics partners with Databricks to deliver proactive, automated data quality natively on the Databricks Data Intelligence Platform, enabling trusted, AI-ready data without data leaving the ...

Zehra Cataltepe is the CEO of TAZI.AI, an adaptive, explainable AI and GenAI platform for business users. She has 100+ AI papers & patents. In many industries, including banking, insurance and ...

Good data quality is crucial for successful data and analytics initiatives and is increasingly pivotal to artificial intelligence impact. D&A leaders, including chief data and analytics officers, are ...

We’re just starting to tap the potential of what AI can do. But amid all the breakthroughs, one thing is fundamental: AI is only as good as the data it was trained on. Unlike people, who can draw on ...

Learn the definition of data quality and discover best practices for maintaining accurate and reliable data. Data quality refers to the reliability, accuracy, consistency, and validity of your data.

Syncsort, a global leader in data liberation, integrity and integration solutions for next-generation analytics, announced new solutions that bring together its industry-leading Big Data Integration ...

eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...

Big data and analytics used to be an option—now it’s the bare minimum for digital businesses. This is where a data warehouse comes into play. Data warehouses provide a centralized hub for all data ...