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Streamline RAG with New Document Preprocessing Features

Snowflake

As organizations increasingly seek to enhance decision-making and drive operational efficiencies by making knowledge in documents accessible via conversational applications, a RAG-based application framework has quickly become the most efficient and scalable approach. Until now, document preparation (e.g.

SQL 95
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Ransomware Attacks: 3 Keys to Resilience for Your IBM i Systems

Precisely

Key Takeaways: In the face of ransomware attacks, a resilience strategy for IBM i systems must include measures for prevention, detection, and recovery. No platform is immune, not even the reliable and secure IBM i systems. So, how can you keep your IBM i systems resilient even as ransomware risks are on the rise?

Systems 58
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Accelerate AI Development with Snowflake

Snowflake

Conversational apps: Creating reliable, engaging responses for user questions is now simpler, opening the door to powerful use cases such as self-service analytics and document search via chatbots. For instance, if your documents are in multiple languages, an LLM with strong multilingual capabilities is key.

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Data Migration Strategies For Large Scale Systems

Data Engineering Podcast

Summary Any software system that survives long enough will require some form of migration or evolution. When that system is responsible for the data layer the process becomes more challenging. As you have gone through successive migration projects, how has that influenced the ways that you think about architecting data systems?

Systems 130
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Gen AI in Action: Customers’ Cortex AI Stories and Outcomes

Snowflake

But as technology speeds forward, organizations of all sizes are realizing that generative AI isn’t just aspirational: It’s accessible and applicable now. Alberta Health Services ER doctors automate note-taking to treat 15% more patients The integrated health system of Alberta, Canada’s third-most-populous province, with 4.5

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Top Gen AI Use Cases: How to Turn Unstructured Data into Insights

Snowflake

Use cases range from getting immediate insights from unstructured data such as images, documents and videos, to automating routine tasks so you can focus on higher-value work. Gen AI makes this all easy and accessible because anyone in an enterprise can simply interact with data by using natural language.

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The “10x engineer:" 50 years ago and now

The Pragmatic Engineer

” They write the specification, code, tests it, and write the documentation. Edits documentation the chief programmer writes, and makes it production-ready. Brooks discusses software in the context of producing operating systems, pre-internet. Brooks calls this person “the surgeon.” The copilot. The editor.