By Tim Osborn
Time and pressure don’t always make a diamond. Sometimes they make an uglier piece of coal. As any startup leader can tell you, there’s something to be said about learning under pressure. Some of the greatest feats of human engineering have been accomplished on short deadlines. Unfortunately for data and AI teams, speed and reliability … Continued
By Tim Osborn
Innovation may drive efficiency, but that doesn’t mean it drives clarity. One of the hallmarks of an emergent technology is the escalation of terms. And what’s sometimes called “LLM observability” is no exception. When any category evolves as rapidly as observability for AI systems, it can be difficult to unite around the language of the … Continued
By Tim Osborn
Credit approvals. Customer support. Financial reporting. Agent workflows have the potential to supercharge all kinds of tedious and repetitive workflows. But how do you know if those agents are making good decisions? And more importantly…who would sound the alarm if they weren’t? Unreliable AI isn’t just a reputational risk; it’s a financial risk. Organizations like … Continued
By Tim Osborn
If the term “AI observability” is unfamiliar to you, it won’t be soon. With nearly every enterprise team building AI – and nearly that same number failing in production – the need to effectively manage AI reliability and performance at scale, AI observability is quickly becoming one of the hottest terms in the data and … Continued
By Tim Osborn
We dive into some of the most common operational issues impacting aviation and how major airlines are leveraging new data quality practices to solve them.
By Tim Osborn
Struggling with data silos? Uncover how data orchestration assists in centralizing data sources, enhancing governance, and preparing your data for scale.
By Tim Osborn
Find yourself asking “will GenAI replace data engineers?” You’re not alone. Find out why the answer is “no,” and what you can do to keep it that way.
By Tim Osborn
If you’re looking to improve the efficacy of your data warehouse, understanding the data warehouse testing process is a great place to start.
By Tim Osborn
There we were again—in the sonically aggressive techno-scape of Moscone’s ballroom, waiting for the next spate of industry-defining announcements to echo through its halls. It was a full-on visual and auditory assault. However, as soon as Ali Ghodsi’s tailored blazer hit the stage, the announcements came fast and furious. Missed Wednesday’s keynote? Check out our … Continued
By Tim Osborn
A botched ETL job is a ticking time bomb waiting to detonate a whirlwind of inaccuracies. Follow these best practices to avoid a data pipeline disaster.
