Leveraging Gen AI Chat at Enterprise-Level without Sacrificing Safety & Security using Amazon Bedrock

Brandon has spent his career in the data science and analytics space both as an executive and expert Data Scientist, leading teams and building machine learning capabilities for enterprise brands. With experience driving innovation at clients in the automotive, CPG, energy, finance, pharmaceutical, technology, telecom, financial services, and travel industries, Brandon is now leading both our Data Engineering and Decision Science practices to bring his expertise in analytics, machine learning, and AI to all our customer engagements.

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Jocelyn Matsuo-Acland has over a decade of experience bringing impactful applications to life, including several driven by Generative AI. As a software engineer for 1904labs, her recent experience leveraging Large Language Models in an enterprise environment, is helping employees unlock the game-changing productivity boosts which are evolving work as we know it.

Jeff Heaton, Ph.D. is a data science executive, deep learning adjunct professor, and machine learning social media influencer (80K YouTube, 10K Twitter). At RGA, Jeff leads a multi-level team of ~8 data scientists and data science engineers. Responsible for the selection, implementation, and maintenance of Domino Datalab for over 100 users. Deployment, maintenance, and support of multiple commercial predictive models deployed externally to RGA customers. Directly experience with Python, R, XGBoost, TensorFlow, PyTorch, and Spark as an architect, mentor, leader, and individual contributor. He works directly with business leaders across multiple divisions to bring models into production usage. Jeff has over 20 years insurance experience in areas such as underwriting, retrocession, and premium calculation. With 15 years as a technical lead in Information Technology (IT) Jeff has a unique perspective to bridge the gap between analytics and technical implementation.

Tony Howell is a Senior Solutions Architect at Amazon Web Services (AWS), an experienced software engineer and architect with a diverse background, including areas such as backend engineering, DevOps, Full Stack development, and solutions architecture. Currently interested in sustainability and helping customers build solutions to address climate change, as well as generative AI and large language models.

Drew Marco is the Advanced Analytics Enablement Lead at Reinsurance Group of America (RGA) and has over 20 years of IT experience crafting and implementing data and analytics strategy and solutions focused on architecture, data management, governance, data ingestion, ETL, analytics and reporting.