Data Engineering Trends in 2025: Your Roadmap to Smarter Data Teams

Data teams are under more pressure than ever before, with demands skyrocketing and technology outpacing teams’ ability to adapt. Understanding how your team stacks up against these challenges is crucial—it could mean the difference between leading the charge and falling behind. Over the past five years, Ascend.io has conducted the industry-wide Pulse Survey to capture […]

Deploying AI to Enhance Data Quality and Reliability

Title card for a blog post entitled "Deploying AI to Enhance Data Quality". There is an estimated 7 Minute Read Time.

AI-driven data quality workflows deploy machine learning to automate data cleansing, detect anomalies, and validate data. Integrating AI into data workflows ensures reliable data and  enables smarter business decisions. Data quality is the backbone of successful data engineering projects. Poor data quality can lead to costly errors, misinformed decisions, and ultimately, a significant economic impact. In […]

Leveraging AI & Automation in Data Engineering: 4 Essential Frameworks

Data engineering is evolving rapidly, driven by advancements in AI and automation. As teams face increasing demands, the need for efficient and effective solutions has never been greater.  This article (based on the webinar below) explores how data engineering teams can leverage AI and automation to enhance productivity and tackle current challenges. We will explore […]