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AI Application Architecture: Building for Scale and Efficiency
Fri, 26 April, 3:40 PM - 4:10 PM GMT+5:30
Developing AI applications for large-scale enterprise environments, particularly in critical sectors like finance and healthcare, presents a unique set of challenges. A key to simplifying this process for developers is the implementation of a robust platform architecture. This session will delve into how a standardized platform can streamline the development of reliable and scalable AI applications, enabling developers to concentrate on crafting solutions that address user needs.
Key focus areas include:
- The flexibility to switch between private and public Large Language Models (LLMs), along with a contingency plan for LLM provider service disruptions.
- Simplifying the construction of context through the sequential chaining of model inputs and outputs across different LLMs.
- Employing standardized LLMOps/MLOps techniques for monitoring both predictive and generative AI models.
- Enhancing predictive AI capabilities with generative AI features and vice versa, fostering a complementary relationship between these two AI paradigms.
By attending this talk, developers will gain insights into building AI applications more efficiently, leveraging the power of a standardized platform to focus on innovation and problem-solving.
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About the speaker
Chinni Krishna Chikatimarla
Vice President, Technology, Broadridge
Chinni Krishna is a seasoned IT professional and Solution Architect with more than 24 years in the field. His career is marked by innovative strategies and solutions that have significantly impacted IT services and solutions across various domains including Solution Architecture, Software Development, Machine Learning, AI, and Cybersecurity. Chinni’s ability to navigate the dynamic IT environment has enabled him to deliver critical solutions for businesses effectively. Beginning his journey at TCS in 1999, he contributed to the BFSI domain, developing and managing multiple products until 2005. Since joining ADP/Broadridge in 2005, Chinni has played a pivotal role in bringing products from the conceptual stage to full production, while spearheading key technical initiatives at an organizational level. His passion for combining creative and analytical skills to solve complex problems underscores his commitment to technological innovation and excellence.
