Before we can talk about the new AI corpus, we need to look backward. For decades, data + AI teams have been trained to look downstream towards their analysts... Read more »
As artificial intelligence (AI) continues to accelerate across industries, the future of data engineering is evolving rapidly. Data pipelines, once the domain of manual data processing and transformation, are... Read more »
Businesses nowadays are flooded with data from a myriad of sources, including social media, Internet of Things sensors, consumer transactions, and more. To stay in the game, you must... Read more »
As organizations increasingly rely on data to drive business decisions, the field of data engineering is rapidly evolving. In 2024, several key trends are expected to shape the future... Read more »
Data quality monitoring. Data testing. Data observability. Say that five times fast. Are they different words for the same thing? Unique approaches to the same problem? Something else entirely?... Read more »
Data observability has been one of the hottest emerging data engineering technologies the last several years. This momentum shows no signs of stopping with data quality and reliability becoming... Read more »
When it comes to the technology race, moving quickly has always been the hallmark of future success. Unfortunately, moving too quickly also means we can risk overlooking the hazards... Read more »
These days, keeping up with the latest advancements in GenAI is harder than saying “multimodal model.” It seems like every week some shiny new solution launches with the lofty... Read more »
As recently as a year ago, about half of the data leaders we spoke with felt the business value of their team sold itself. Today, maximizing and measuring data... Read more »
Imagine you’ve been building houses with a hammer and nails for most of your career, and I gave you a nail gun. But instead of pressing it to the... Read more »
