Building Multiple AI Agents
Alok Bhargave of Ernst & Young outlines a strategy for building out multiple AI agents for documentation management and insight extraction.#Snowflake.
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
End Data Disparity | Building Partnerships To Drive Change
In this premiere episode from the new "End Data Disparity" video series, host Ryan Green chats with Benoit Dageville, Snowflake Co-founder and President of Product, about the challenge of addressing the problem of global data inequalities. The discussion kicks off with information about the cross-sector advisory board Snowflake is establishing to drive the development of collaborative solutions. They also discuss such topics as the role AI will play in improving ESG data quality, which promises to positively impact ESG monitoring and reporting.
Why Pixel Perfect Reporting Is Critical for Enterprise Operations (And How to Scale It)
After spending hours perfecting your BI dashboard, you export a report only to watch headers shift, page breaks split tables, and logos resize unpredictably. What should take minutes becomes hours of manual reformatting before documents meet compliance standards. This repeats daily across enterprises. Modern BI platforms optimize for responsive dashboards that adapt to screens, but operational documents require absolute precision.
A Seismic Shift: The Largest Fintech Migration in History
Learn how PayPal optimized customer experience and exceeded SLAs at scale by modernizing its data infrastructure and analytics. In this session recorded at Summit 2025, you'll discover how the company consolidated disparate data sources into Snowflake, leveraging Iceberg for future platform flexibility, and centralized back-office analytics and ETL processes for efficiency. See how it delivers near real-time insights and reconciliation to clients, architects applications for global scalability, and explores future developments, such as ML for business outcome prediction and generative AI for dynamic network adaptation.
Opportunities And Challenges When Using LLMs In The Data Space
Large Language Models (LLMs) are transforming how organizations interact with their data infrastructure, offering unprecedented capabilities for both technical and business users. However, this transformation brings unique opportunities and challenges that vary significantly based on user personas, security requirements, and implementation approaches. This writeup explores these dimensions through the lens of practical implementation using tools like Keboola MCP and various client interfaces.
The developer experience gap in Kafka data replication
From weeks-long projects to self-service data distribution.
New Integration: Turn MongoDB Data into Beautiful, Actionable Dashboards with Databox
MongoDB is one of the most popular databases for modern applications. Its flexible, document-oriented model makes it easy for developers to store and query everything from user activity logs and product usage events to application telemetry. But while MongoDB is great for storing and organizing data, it’s not always easy for business teams to use it to answer questions or track key metrics. The data often lives in a raw format that requires technical skills to interpret.
Powering the Next Generation of AI Agents with ClearML's GenAI App Engine
The era of simple, scripted AI is swiftly fading. We’re now witnessing the dawn of AI Agents: sophisticated, self-governing digital entities that possess the capacity to comprehend their surroundings, navigate intricate problems, and execute purposeful actions. Multi-agent systems take this even further, multiplying these capabilities by enabling teams of AI agents to collaborate, delegate tasks, and solve challenges collectively in ways a single agent cannot achieve alone.
Snow Report: What's Happening At Snowflake in September
Snowflake Intelligence, now available in public preview, takes center stage in this month's Snow Report. Discover how this powerful agentic AI tool enables natural conversations with your data, transforming the way you interact with information.
Introducing Apache Kafka 4.1.0: What's New and How to Upgrade
The Apache Kafka community is proud to announce the release of Apache Kafka 4.1.0. This blog post highlights the many new features and improvements included in this release. For a full list of changes, be sure to check the release notes. Queues for Kafka (KIP-932) is now in preview. It's still not ready for production, but you can start evaluating and testing it. See the preview release notes for more details. This release also introduces a new Streams Rebalance Protocol (KIP-1071) in early access.