EP1: AppliedAI’s world’s first large work model: predicting actions not words | AWS for AI podcast скачать в хорошем качестве

EP1: AppliedAI’s world’s first large work model: predicting actions not words | AWS for AI podcast

Explore the groundbreaking development of Opus - the world's first large work model. With over two decades of experience across financial services, cybersecurity, and AI, Phillip Kingston , CTO of AppliedAI , shares fascinating insights into how Opus is revolutionizing enterprise workflow automation. Learn how Opus differs from traditional language models by predicting actions rather than words, and discover how it leverages a massive knowledge graph containing millions of documented business processes to optimize workflows across organizations. Phillip discusses the platform's unique approach to blending human and AI capabilities, the future of enterprise AI adoption, and how AppliedAI is helping regulated industries embrace innovation while maintaining compliance. The conversation covers everything from the technical architecture behind Opus to broader philosophical questions about the future of work. Whether you're a technology leader, developer, or business professional interested in enterprise AI transformation, this episode offers valuable perspectives on how AI is reshaping organizational processes and decision-making. Join us for an illuminating discussion about the next frontier of AI-powered workflow automation and learn how AppliedAI is helping organizations navigate the transition to more intelligent, efficient operations. Learn more: Build and scale the next wave of AI innovation on AWS: https://go.aws/ai AppliedAI Opus : https://www.opus.com/ 00:00 : Introduction 01:45 : Personal journey and ambitions 05:41 : AI in Regulated industries 07:47 : Tensions in deterministic vs probabilistic skills 12:29 : AppliedAI mission 14:20 : Humans in the loop 17:54 : AppliedAI vertical solutions 19:34 : DeepDoc, claims adjustments 21:55 : Regulated problems, cost of error 22:35 : Covigilance pharmaceutical industry, pharmacovigilance. 24:35 : Point solutions in Enterprise AI 27:44 : Opportunity and challenges of horizontal solutions 32:14 : Opus , Knowledge graph, knowledge work process. 35:50 : Workflow intention in the Opus Framework 41:42 : Workflow Generation 43:05 : Workflow Builder 43:40 : Labour structure change in knowledge work 46:34 : How it’s built 50:34 : Learnings from building on AWS. 54:02 : Future of AI beyond 2025 55:35 : Outro Subscribe to AWS: https://go.aws/subscribe Sign up for AWS: https://go.aws/signup AWS free tier: https://go.aws/free Explore more: https://go.aws/more Contact AWS: https://go.aws/contact Next steps: Explore on AWS in Analyst Research: https://go.aws/reports Discover, deploy, and manage software that runs on AWS: https://go.aws/marketplace Join the AWS Partner Network: https://go.aws/partners Learn more on how Amazon builds and operates software: https://go.aws/library Do you have technical AWS questions? Ask the community of experts on AWS re:Post: https://go.aws/3lPaoPb Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—use AWS to be more agile, lower costs, and innovate faster. #AWS #AmazonWebServices #AWSForAI #CloudComputing