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Satnam Singh

Chief Data Scientist

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Satnam is a highly experienced AI professional with over two decades of expertise in product development, from conception to execution. His collaborative approach and leadership have driven successful AI strategies across various organizations, notably as Chief Data Scientist at Acalvio. He is recognized for his ability to translate complex business concepts into practical AI solutions and has earned accolades, such as being named one of India's top 10 data scientists. He has more than 25 patents and 35 Technical papers to his credit. Satnam is also active on the global stage as a public speaker and author, and he has a passion for endurance sports like Ultra Running and Rock Climbing.

Constructing a RAG system tailored for a particular domain or enterprise at a production level poses numerous challenges. These include content curation and preprocessing, text embedding and vector database choice, and assessing the RAG system's performance. In the first part of the talk, we'll delve into the practical considerations while building the AI Assistant, which will be gleaned from data experiments and real-world implementations. The second part will provide more details about the cybersecurity of the AI Assistant itself by addressing how to harden the LLM applications from prompt injection, data poisoning, and other attacks.

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Managing and scaling ML workloads have never been a bigger challenge in the past. Data scientists are looking for collaboration, building, training, and re-iterating thousands of AI experiments. On the flip side ML engineers are looking for distributed training, artifact management, and automated deployment for high performance

Read More

Managing and scaling ML workloads have never been a bigger challenge in the past. Data scientists are looking for collaboration, building, training, and re-iterating thousands of AI experiments. On the flip side ML engineers are looking for distributed training, artifact management, and automated deployment for high performance

Read More

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