How Generative AI is Transforming Data Engineering
By Lior Gavish
Generative AI is taking the world by storm – here’s what it means for data engineering and why data observability is critical for this groundbreaking technology to succeed.
Monte Carlo and Databricks Partner to Deliver Data + AI Observability
By Lior Gavish
Monte Carlo and Databricks double-down on their partnership, helping organizations build trusted AI applications by expanding visibility into the data pipelines that fuel the Databricks Data Intelligence Platform.
Monte Carlo and Snowflake Partner to Provide Observability Into Unstructured Data
By Lior Gavish
With their extended partnership, data + AI observability leader and the Data AI Cloud bring reliability to structured and unstructured data pipelines in Snowflake Cortex AI. – Announced today, Monte Carlo and Snowflake are delivering end-to-end observability across both structured and unstructured data pipelines powering agentic AI applications in Cortex AI, the AI Data Cloud’s … Continued
What is a Data Mesh — and How Not to Mesh it Up
By Lior Gavish
A beginner’s guide to implementing the latest industry trend: a data mesh.
Monte Carlo Brings Data Observability to Microsoft Azure Synapse and Microsoft Fabric
By Lior Gavish
Leverage machine learning to proactively identify data and data pipeline anomalies so you can fix bad data before it impacts your analytics, AI and other data products.
A Major Step Forward For Generative AI and Vector Database Observability
By Lior Gavish
Organizations are racing to deploy generative AI applications to unlock new sources of value and stave off potential disruptors as this transformative technology takes hold. LLMs have quickly become plug-and-play APIs while smaller specialized models are becoming rapidly commoditized as well. To differentiate and expand the usefulness of these models, organizations must augment them with … Continued
Building Spark Lineage For Data Lakes
By Lior Gavish
Spark lineage has been a blindspot for the data engineering industry so we set off to engineer a solution. Here’s how we did it.
Data Observability: Reliability In The AI Era
By Lior Gavish
For GenAI, data observability must prioritize resolution, pipeline efficiency, and streaming/vector infrastructures.
The Moat for Enterprise AI is RAG + Fine Tuning – Here’s Why
By Lior Gavish
To succeed with LLMs at enterprise-scale, we need to treat our data pipelines with the diligence they deserve.
Data Contracts: Silver Bullet or False Panacea? 3 Open Questions
By Lior Gavish
Three open questions data contracts still need to answer for engineering teams.