SWIRL Blog

July 22, 2025

Agentic Search—Your Antidote to Tool Chaos 

Technology companies love tools. Internal wikis, chat threads, versioned code, scattered docs, ephemeral insights—every system solves a problem, until it becomes one. Then the search begins. Your engineer needs a deployment script. Is it in Notion? Buried in a GitHub gist? Maybe in that shared Drive folder from last quarter? Good luck. Multiply that friction...

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Latest Articles

AI Infrastructure Maximizes the Benefits of AI and Keeps Data Safe

June 12, 2024

AI Infrastructure Maximizes the Benefits of AI and Keeps Data Safe

AI is revolutionizing financial services, but there are genuine risks to data security and decision accuracy. To maximize effectiveness, AI systems need access to sensitive data. Data needs to remain in place so that all decisions are based on the same data version. Employees must know they can use AI to search collaboration resources such...

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Harnessing AI for Effective Risk Management—Why Financial Institutions Need a Robust AI Infrastructure

June 12, 2024

Harnessing AI for Effective Risk Management—Why Financial Institutions Need a Robust AI Infrastructure

Risk can be quantified, uncertainty cannot. Financial institutions deal with uncertainty by turning it into risk and then quantifying and managing that risk. Banks are required to maintain a certain asset level to cover potential losses based on the level of risk inherent in investments—and in the financial world, all investments are risky to a...

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Harnessing the Power of AI in Banking: Data Security & Trustworthiness Are Keys to Success

June 12, 2024

Harnessing the Power of AI in Banking: Data Security & Trustworthiness Are Keys to Success

Banks can benefit from artificial intelligence (AI), provided they can keep their data secure and trust what the AI tells them. AI has the potential to revolutionize the banking industry by streamlining processes, improving customer experience, and providing valuable insights. The Data Deluge in Banking Even a moderate-sized bank can have millions of customers and...

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How to Avoid a RAG Disaster in Your Company – Take Control of Unreliable AI Models

June 12, 2024

How to Avoid a RAG Disaster in Your Company – Take Control of Unreliable AI Models

“Open the pod bay doors, HAL.”“I’m sorry, Dave. I’m afraid I can’t do that.” Perhaps the most memorable line in 2001: A Space Odyssey was spoken by HAL, the AI that refused to open the pod bay doors. HAL wasn’t the first unreliable AI and is not the last. The problems with Google Gemini The...

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End the Data Scavenger Hunt

May 28, 2024

End the Data Scavenger Hunt

Knowledge workers have access to more data than ever. Yet answering even a simple question can turn into a data scavenger hunt that consumes days or weeks of valuable time. What data do I have? Where is it? How do I find it? Relevant data might be stored in traditional databases, in Confluence, Slack, email,...

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The Risks of Relying on a Single Data Repository for Retrieval Augmented Generation (RAG)

May 15, 2024

The Risks of Relying on a Single Data Repository for Retrieval Augmented Generation (RAG)

Introduction Retrieval Augmented Generation (RAG) is a groundbreaking AI architecture that combines the power of large language models with the ability to retrieve information from vast data repositories. This enables RAG-powered AI systems to generate more accurate, informative, and contextually relevant responses than ever before.To make informed decisions that balance the transformative potential of RAG...

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SWIRL is the AI Infrastructure Software that you need

May 3, 2024

SWIRL is the AI Infrastructure Software that you need

What is AI Infrastructure Software? AI infrastructure software is essential for deploying on-premises AI solutions. It performs various functions, such as data mastering and movement, similar to traditional Extract, Transform, and Load (ETL) processes, but AI infrastructure software doesn’t move data but rather facilitates communication between different layers. It operates as a middle layer between...

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Rethinking Data Integration for AI: The Case Against ETL in AI Architectures

May 3, 2024

Rethinking Data Integration for AI: The Case Against ETL in AI Architectures

In the rapidly evolving domain of artificial intelligence (AI), data is the bedrock upon which intelligent systems are built.  A particularly innovative application of AI in data handling involves the Retriever-Augmented Generation (RAG) model, which provides data to the AI to enhance the quality and relevance of generated content. Traditionally, the method to make external data...

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Guiding principles that will dictate the next generation of AI apps in the enterprise

May 3, 2024

Guiding principles that will dictate the next generation of AI apps in the enterprise

AI is transforming businesses by driving data-driven decisions, automating tasks, and opening new growth opportunities. As companies recognize its potential, the focus has shifted from whether to adopt AI to how to do it effectively and integrate AI effectively.But successfully integrating AI within your enterprise isn’t a simple plug-and-play process. It demands a strategic approach....

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