Data Strategy for Generative AI Applications — Why Your Data is the Differentiator
Generative AI is transforming industries. To realize its full potential, you need a modern data strategy. Learn how to create an effective data strategy and build Generative AI applications that deliver tailored experiences for your business and customers. We’ll discuss data-centric architectural patterns that can help you accelerate your AI development, improve customer experience, and gain better business insights. Learn how to build, deploy, and scale generative AI applications.
Speaker
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Manuel HeinkelAWSManuel is a Solutions Architect at AWS, working with software companies to build innovative and secure applications in the cloud. He supports customers in solving business challenges and achieving success with AWS. Outside of work, he enjoys spending time with his family and exploring the mountains.
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Puria IzadyAWSPuria is a Solutions Architect at AWS, helping software companies in Germany build innovative SaaS solutions. With a background in machine learning and generative AI, he brings technical expertise and business acumen to design AI/ML driven applications at scale. Puria collaborates closely with customers, understanding their needs and tailoring solutions to meet their specific goals. Before joining AWS, Puria worked in a global bank where he modernized a monolithic stack to a scalable and agile architecture while ensuring security and compliance. Outside of work, Puria enjoys exploring new countries and fine-tuning his secret pizza recipe.