Innovate with AI: Transform Proprietary Data into Business Value with RAG

​Everyone is trying to figure out how to make AI work for their business, yet many organizations find themselves overwhelmed by the technical complexities 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.

​LLMs have removed the need for many businesses to train their own models but they still have limitations: they restrict data size per request, pose security risks with your company’s proprietary information, 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?

​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.

​Event Highlights:

• ​Learn from our industry experts how RAG helps LLMs utilize your proprietary data to solve specific business problems and make your data work smarter for you.

• ​See real world examples of how a RAG pipeline can provide expert-level guidance and decision support, acting like your legal assistant or financial advisor. 

• ​Gain practical knowledge on how you can implement RAG.

• ​Understand how RAG addresses LLM security concerns and optimizes data usage without the high costs of traditional LLM training.

​Agenda:

​9:00-9:30 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.

​Join us and take the first step towards making AI work for you.