In today’s rapidly evolving AI landscape, using Large Language Models (LLMs) as-is can be limiting. To unlock their full potential, customization is essential. This session explores the importance of model personalization, covering prompt engineering, Retrieval-Augmented Generation (RAG), and fine-tuning with proprietary data. Learn how tailored AI solutions enhance accuracy, relevance, and efficiency, driving value and keeping your organization at the forefront of AI-driven innovation.
Yina Arenas
VP AI Platform
Yina Arenas is the VP of Product for Azure AI Platform, where she empowers developers to integrate AI into every application. She leads Azure OpenAI and the Azure AI Model Ecosystem, as well as the toolchain that enables developers to augment their applications with AI, delivering a diverse range of cutting-edge models, tools and experiences that prioritize transparency, explainability, and alignment with industry regulations. Yina’s focus on enterprise readiness ensures that Microsoft’s AI solutions meet the complex needs of customers globally. With extensive experience in building platforms and developer ecosystems, Yina has played a pivotal role in driving innovations that power millions of applications, reaching nearly a billion customers.
Vijay Aski
Partner Director
Partner Director and Group Engineering Manager, Azure AI Platform.
Daniel Kurdys
VP, Global Business Lead, GENAI
Dan Kurdys is the Vice President and Global Business Lead for GENAI at Bayer Crop Science. His mission is clear – to transform emerging technologies into solutions that truly benefit farmers. With nearly 2 decades of hands-on experience in agricultural technology, Dan has witnessed significant industry shifts, from Precision Planting out-licensing to the acquisitions of Climate Corporation and 640 Labs. His diverse expertise spans social media marketing, blockchain projects, self-limiting insects, biologics, traits, crop protection, and seed treatment launches.
Always one to embrace a challenge, Dan founded and leads an internal startup at Bayer focused on making applied agronomy expertise more accessible through Generative AI.
When he’s not busy revolutionizing agriculture, Dan is a devoted father to four amazing daughters who keep him on his toes and fueled by caffeine. His collection of dad jokes, while often questionable, is always at the ready to lighten the mood.
Additionally, Dan serves on the board of directors for AgSafe, a nonprofit committed to promoting farm safety through a boots-on-the-ground approach.
Always one to embrace a challenge, Dan founded and leads an internal startup at Bayer focused on making applied agronomy expertise more accessible through Generative AI.
When he’s not busy revolutionizing agriculture, Dan is a devoted father to four amazing daughters who keep him on his toes and fueled by caffeine. His collection of dad jokes, while often questionable, is always at the ready to lighten the mood.
Additionally, Dan serves on the board of directors for AgSafe, a nonprofit committed to promoting farm safety through a boots-on-the-ground approach.