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Agentic Edge

Podcast de Automation Anywhere

inglés

Actualidad y política

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Agentic Edge is at the frontier of AI agents, agentic architecture, and enterprise automation orchestration. Join Automation Anywhere’s technical leaders, product team, and builders as they dive deep into agentic process automation, agent interoperability, AI-powered workflows, and the evolving architectures shaping the intelligent enterprise.

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8 episodios

Portada del episodio Building the workforce for agentic AI: Skills, teams and what leaders need now

Building the workforce for agentic AI: Skills, teams and what leaders need now

You've got the platform and executive buy-in, but do you have the people to deliver on agentic AI? In this episode, Micah Smith and Kate Ressler talk with Mike Reynolds, Business and Technology Executive at KeyBank, about what it actually takes to build, retool, and upskill automation teams for the shift from task-based RPA to goal-driven agentic AI. Mike shares how he invests in his team to build automations, how those citizen developer skills are evolving for the agentic era, why ideas that were rejected years ago are now greenlit, and the leadership mindset required to invest in people when the pressure is on short-term results.  Whether you lead an automation team, build solutions, or are figuring out what skills to invest in next, this one's for you.

29 de abr de 2026 - 26 min
Portada del episodio Meet the winners of Automation Anywhere's Agentic Bounty Challenge

Meet the winners of Automation Anywhere's Agentic Bounty Challenge

In this episode, hosts Micah Smith and Kate Ressler spotlight winners from Automation Anywhere’s Agentic Bounty Challenge, created to help the Pathfinder community move beyond simple task automation and build goal-based AI agents for real business problems.   They interview three winners: Jenna Saunders, who built an agent that performs sentiment analysis on product reviews, outputs a CSV with sentiment scores, and generates actionable insights, using Python for precise data sorting and formatting; Omkar Mahajan, whose transit-focused agent uses maintenance and disaster management manuals to recommend next actions, create Salesforce tasks, work orders, and purchase orders with guardrails like order-history checks and approved product lists; and Ganesh Bhat, who built a “Sprint to Jira” agent that turns unstructured sprint planning inputs (screenshots, emails, transcripts) into Jira epics, stories, and tasks with human-in-the-loop and data protection guardrails.

4 de mar de 2026 - 27 min
Portada del episodio Exploring MCP and A2A Protocols for AI Agent Interoperability

Exploring MCP and A2A Protocols for AI Agent Interoperability

In this episode 4 of the Agentic Edge Podcast, host Micah Smith dives deep into the world of AI agent interoperability protocols with guests Rajendra Vijay, Director, Product Management, and Ramana Lokanathan, SVP, Engineering, Automation Anywhere.  They explore the Model Context Protocol (MCP) and the Agent-to-Agent Protocol (A2A), discussing their importance for building, scaling, and orchestrating automation across enterprises. Learn about the crucial role of context, the benefits of MCP for reusability and modularity, and the future of these protocols in enterprise AI. The episode also covers best practices for developers and enterprise architects looking to leverage these protocols for more efficient and secure automation solutions.  Tune in today to stay on the cutting edge of AI and automation technologies.

8 de ene de 2026 - 42 min
Soy muy de podcasts. Mientras hago la cama, mientras recojo la casa, mientras trabajo… Y en Podimo encuentro podcast que me encantan. De emprendimiento, de salid, de humor… De lo que quiera! Estoy encantada 👍
Soy muy de podcasts. Mientras hago la cama, mientras recojo la casa, mientras trabajo… Y en Podimo encuentro podcast que me encantan. De emprendimiento, de salid, de humor… De lo que quiera! Estoy encantada 👍
MI TOC es feliz, que maravilla. Ordenador, limpio, sugerencias de categorías nuevas a explorar!!!
Me suscribi con los 14 días de prueba para escuchar el Podcast de Misterios Cotidianos, pero al final me quedo mas tiempo porque hacia tiempo que no me reía tanto. Tiene Podcast muy buenos y la aplicación funciona bien.
App ligera, eficiente, encuentras rápido tus podcast favoritos. Diseño sencillo y bonito. me gustó.
contenidos frescos e inteligentes
La App va francamente bien y el precio me parece muy justo para pagar a gente que nos da horas y horas de contenido. Espero poder seguir usándola asiduamente.

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