Dinesh Nair’s Post

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CTO, ENGINEERING LEADER, FULL-STACK ENGINEER

Had the pleasure of attending the GenAI Summit in Santa Clara this past weekend. A lot of great presentations, panels and pitches. Very exciting to see this world come to life with a lot of smart people working on bleeding edge technology that will shape the future of GenAI. We are at the cusp of the next revolution in technology and we are starting to see how it is changing the way we use software to solve problems. A few key takeaways - • The first generation of GenAI has primarily been used as a tool helping the human handler to perform tasks more efficiently. We are now moving towards a more autonomous, agentic architecture with multiple agents collaborating with each other and completing tasks with little or no human intervention • RAG
s - Vector DBs and Knowledge graphs are being used effectively in a hybrid approach to enhance the responses from LLMs and provide more context • Security - Great presentation by Raluca Ada Popa about the need for robust security in the context of AI workflows using hardware/on-chip encryption. Her company Opaque Systems is offering encryption in the cloud as a service. Startups - • In the GenAI space, VCs are looking for smaller teams with good revenue potential in an untapped market. • Selling this new technology to potential customers is key - so having a strong GTM strategy and sales team is critical. • Privacy is a huge concern for customers since a successful GenAI implementation will rely on historic data. Mitigating this will become a key differentiator. Just a few things that stood out - but there was a lot of information and learnt a lot! Excited for the future in this space!

Thank you for sharing your insights from the GenAI Summit. It’s intriguing to see the shift towards more autonomous architectures and the integration of RAGs with LLMs. The emphasis on security, especially with advancements in hardware encryption, is crucial as we navigate the complexities of AI. Your thoughts on the importance of a strong go-to-market strategy resonate well, as the landscape continues to evolve. We look forward to seeing how these developments will shape the future of AI technology. What do you think are the next steps for startups in this space?

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