​Struggling to leverage AI for your business? Learn how RAG pipelines turn your company's proprietary data into expert insights.

​Everyone is trying to figure out how to make AI work for their business, yet many organizations find themselves overwhelmed by the technical complexities, jargon, and high costs associated with AI implementation.

​Training a custom machine learning model on your company’s data may seem like an option but that can be daunting. It can often run into millions of dollars and requires impeccably clean data.

​LLM-based apps like ChatGPT are incredibly impressive, but their usefulness is limited due to the data they have access to. Additionally, these products raise security concerns and can quickly become expensive with large queries.

​So, how can you harness the power of an LLM using your company’s data and receive responses as insightful and reliable as those from a seasoned employee without breaking the bank?

​The answer lies in Retrieval Augmented Generation (RAG).

​If LLMs are like brilliant but untrained interns, RAG pipelines are your seasoned executives. This event will teach you how RAG can leverage your company’s proprietary data to unlock the full potential of AI, providing precise, actionable insights that drive business value.

• ​8:30-9:30 AM: Breakfast and Networking

  • ​Kickstart your morning with coffee and treats while networking with industry peers.

• ​9:30-10:00 AM: Presentation

  • ​Our experts will provide a comprehensive overview of RAG, explaining how it works and its significant advantages over traditional LLM usage. You’ll hear examples of how businesses can implement RAG to enhance their operations.

• ​10:00-10:30 AM: Q&A Session

  • ​Engage in an interactive Q&A session with our experts. This is your opportunity to dive deeper into the specifics of RAG, ask detailed questions, and get tailored advice for your business needs.

• ​10:30-11:00 AM: Networking and Coffee

  • ​End the event with more networking over coffee.

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Jordan has been with Atomic since 2011, where he has held various roles, including Software Developer, Tech Lead, Delivery Lead, Career Development Manager, and Managing Partner of Atomic's Chicago office.

​Learn more about Jordan and check out his thoughts on all things AI and software development.

​Atomic Object's Grand Rapids Office

​1034 Wealthy Street SE

​Grand Rapids, MI 49506-1514

​Free parking is available in a lot on the east side of the building, or in a lot on Diamond Street, behind The Meanwhile (362 Diamond Ave SE). Paid on-street parking is also available along Wealthy Street.