『Ep129: Taking Agentic AI Beyond the Prototype w Automation Anywhere』のカバーアート

Ep129: Taking Agentic AI Beyond the Prototype w Automation Anywhere

Ep129: Taking Agentic AI Beyond the Prototype w Automation Anywhere

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Industry leaders from Automation Anywhere and AWS discuss how modern customer data collection has evolved, and practical strategies for implementing enterprise automation at scale.

Topics Include:

  • Automation Anywhere and AWS experts discuss modern enterprise automation strategies
  • Traditional profiting strategies may not work with today's changing business models
  • Customer data collection methods have evolved across multiple platforms significantly
  • Modern verification processes include automated validation systems and streamlined timelines
  • Background check automation is increasingly handled by AI-powered models and systems
  • Stanford's "Wonder Bread" research paper introduced revolutionary enterprise process observation technology
  • Wonder Bread demonstrated AI systems watching and automatically learning hospital workflows
  • The technology can author workflows by observing real enterprise processes
  • Enterprise Process Management built around observed behaviors shows promising results
  • Verification challenges exist since Wonder Bread research isn't widely publicized yet
  • Process observation technology could transform how enterprises handle workflow creation
  • Salesforce Wizard Interface dominates many current automation implementations in enterprises
  • Salesforce Agent Codes offer alternative approaches to traditional automation methods
  • AWS platform selection involves careful consideration of enterprise integration needs
  • Demo implementations showcase real-world timeline expectations and deployment maturity levels
  • Current automation solutions have reached significant scale across various industries
  • Workflow automation differs fundamentally from true agentic intelligence systems capabilities
  • Agentic AI demonstrates autonomous decision-making beyond simple rule-based automation processes
  • Understanding this distinction helps organizations choose appropriate technology approaches effectively
  • Session concludes with clarity on modern automation landscape and implementation strategies


Participants:

  • Pratyush Garikapati – Director of Products, Automation Anywhere
  • Sreenath Gotur – Snr Generative AI Specialist, Amazon Web Services


Further Links:

  • Automation Anywhere website
  • Automation Anywhere – AWS Marketplace


See how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

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