Remove Data Pipeline Remove Demo Remove Unstructured Data
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Monte Carlo and Snowflake Partner to Provide Observability into Unstructured Data 

Monte Carlo

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. Table of Contents Ensuring trust in an agentic future Why observability for unstructured data? Interested in learning more?

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Calling All Builders: Get Hands-On With AI and Apps

Snowflake

Register now and join thousands of fellow developers, data scientists and engineers to learn about the future of AI agents, how to effectively scale pandas, how to create retrieval-augmented generation (RAG) chatbots and much, much more. From Snowflake Native Apps to machine learning, there’s sure to be something fresh for everyone.

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Top 10 Data Engineering & AI Trends for 2025

Monte Carlo

Small data is the future of AI (Tomasz) 7. The lines are blurring for analysts and data engineers (Barr) 8. Synthetic data matters—but it comes at a cost (Tomasz) 9. The unstructured data stack will emerge (Barr) 10. All that is about to change. The question is… what tools will rise to the surface?

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Top 10 Data & AI Trends for 2025

Towards Data Science

The unstructured data stack will emerge(Barr) The idea of leveraging unstructured data in production isnt new by any meansbut in the age of AI, unstructured data has taken on a whole newrole. According to a report by IDC only about half of an organizations unstructured data is currently being analyzed.

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Monte Carlo and Databricks Partner to Deliver Data + AI Observability

Monte Carlo

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. This comprehensive visibility helps teams identify and resolve data issues before they cascade into AI failures.

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A Guide to Data Pipelines (And How to Design One From Scratch)

Striim

Data pipelines are the backbone of your business’s data architecture. Implementing a robust and scalable pipeline ensures you can effectively manage, analyze, and organize your growing data. We’ll answer the question, “What are data pipelines?” Table of Contents What are Data Pipelines?

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The Challenge of Data Quality and Availability—And Why It’s Holding Back AI and Analytics

Striim

How Organizations Can Overcome Data Quality and Availability Challenges Many businesses are shifting toward real-time data pipelines to ensure their AI and analytics strategies are built on reliable information. Enabling AI & ML with Adaptive Data Pipelines AI models require ongoing updates to stay relevant.