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This session will delve into KissanAI’s journey, highlighting how we’ve utilized Generative AI to bridge knowledge gaps in agriculture. Drawing from our lessons, I’ll share our experiences in overcoming language and literacy barriers in Indian agriculture, and the development of Dhenu 1.0 for bilingual communication. The discussion will highlight our role in enhancing operational efficiencies for Agribusinesses, supporting informed decision-making, and contributing to sustainable agricultural practices. This session will offer a comprehensive view of how KissanAI’s innovations are creating a more inclusive and efficient agricultural ecosystem.\n\nBenefits for Startups from This Session\n\nStartups will gain valuable insights into how AI can be leveraged to solve real-world problems, particularly in sectors like agriculture where language diversity and accessibility are key challenges. Understanding the multi-faceted impact of AI in agriculture, from aiding small-scale farmers to supporting large agribusinesses.\n\nFocus of the Session\n\n• Utilizing AI to bridge knowledge gaps in agriculture, benefitting both farmers and agribusinesses.\n• Practical applications of Large Language Models in delivering accessible agricultural advisory and services.\n\nKey Learnings for Attendees\n\n• Strategies for deploying AI to address sector-specific challenges, enhancing efficiency and inclusivity.\n• Insights into developing AI solutions that serve diverse demographic needs and align with broader economic and social objectives.\n\nSession hosted by - Vivek Sridhar\nVivek Sridhar is a technophile and an Open Source contributor with around 17+ years of experience in the Software Industry and works at Microsoft as CTO - Microsoft for Startups. In his previous role, he mentored startups/developers and was a speaker at conferences for DigitalOcean as a Senior Developer Advocate and co-founder / chief architect of NoodleNext Technology. He was also heading DevOps at BlackBuck and was a DevOps solution architect at HCL (Australia) in client engagement. Vivek started his career with IBM Rational (India Software Labs) as a Software Developer.\n\nSocial Handle - https://www.linkedin.com/in/vivsridh\n\nSession hosted by- Vinayak Hegde\nVinayak Hegde currently works as CTO-in-residence at Microsoft for Startups helping startups to scale their tech stacks, teams and products. With over 20 years of experience, Vinayak has built multiple products across different domains such as IoT, large scale networks and large-scale data systems in a variety of individual contributor and senior technical leadership roles. Previously he has worked with Akamai, Inmobi, and Zoomcar.\n\nSocial Handle\nLinkedIn- https://www.linkedin.com/in/vinayakh/\n\nGuest Speaker BIO: Pratik Desai\nPratik Desai is a seasoned entrepreneur and computer scientist passionate about leveraging knowledge extraction through AI and Semantic Web technologies. Before venturing into AI applications for Agriculture, Dr. Desai honed his skills by co-founding three innovative startups in Silicon Valley. Grounded in his family's agricultural heritage, Dr. Desai established KissanAI. His vision for KissanAI has been to contribute meaningfully to his roots by democratizing the use of AI in agriculture. KissanAI stands out as a vernacular AI CoPilot platform meticulously designed to offer voice-based assistance tailored to the agricultural sector, particularly addressing the challenges faced by farmers in developing nations by overcoming literacy and language barriers. Dr. Desai’s pioneering work in incorporating generative AI in the Agriculture domain has led to the development of Dhenu, the world's first agricultural vertical-specific Large Language Model (LLM).\n\nSocial Handle of the Speaker\nLinkedIn:\nhttps://www.linkedin.com/in/pratikkumardesai\nTwitter: @chheplo\n\nPre-requisites:\nAn understanding of AI and its potential applications in various sectors would be beneficial. Familiarity with the challenges of agricultural practices in linguistically diverse regions like India can enhance the learning experience.