Scaling GenAI for the Enterprise
GenAI is a powerful paradigm for creating natural language systems that can interact with humans and data. However, scaling GenAI for the enterprise poses several challenges, such as data quality, security, governance, and domain adaptation. In this presentation, we present our experience and insights from leading the GenAI transformation at PwC, one of the world’s largest professional services firms.
We describe how we integrated GenAI across 400+ use cases in diverse domains, developed ChatPwC, a GenAI-based platform for internal communication and collaboration, and designed GenAI frameworks and policies to facilitate the development and deployment of GenAI solutions. We hope that our lessons learned can inspire and inform other practitioners and researchers who are interested in scaling GenAI for the enterprise.
Jacob Wilson
GenAI Commercial CTO at PWC
Jacob is a Principal in PwC‚ Ios Products & Technology organization currently focused on the use of Generative AI to transform the way PwC delivers services in the market via the AI Factory. Jacob has 18+ years of experience in software engineering, data engineering, data science, data analytics, and product management helping clients, across industries, solve problems through the use of technology.
Jacob’s main passion is NLP and ML for which he recently completed his Masters of Data Science at UC Berkeley and is a named inventor on the patent for Continuous Machine Learning Method and System for Information Extraction.
