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IA Conversacional con Power Virtual Agents.pptx

  1. IA Conversacional con Power Virtual Agents Carla Vanesa Mamani Chavez Microsoft MVP Luis Beltrán Microsoft MVP
  2. Carla Vanesa Mamani Chavez
  3. Luis Beltrán @darkicebeam
  4. Presupuesto limitado Restricciones de tiempo y recursos Incompatibilidad entre aplicaciones Procesos en papel Procesos complejos Mantenimiento de sistemas “legacy” Gobernanza de “Shadow IT” Seguridad y cumplimiento Desarrollar aplicaciones comerciales es un desafío
  5. Power Platform
  6. Power Platform en contexto
  7. Power Virtual Agents • Empodere a los equipos de trabajo permitiéndoles crear bots fácilmente ellos mismos sin necesidad de intermediarios, o experiencia en codificación o IA. • Reduce costos automatizando fácilmente las consultas comunes y liberando tiempo al agente humano para tratar problemas más complejos. • Mejore la satisfacción del cliente al permitir que los clientes se autoayudan y resuelvan problemas rápidamente las 24 horas del día, los 7 días de la semana, utilizando conversaciones de bots personalizadas enriquecidas.
  8. © 2018 All rights reserved. P A G E 9 Canales
  9. ¿Qué es un Bot? Un Bot es un software de Inteligencia Artificial que simula una conversación con una persona por medio del lenguaje natural. Es considerado como una de las expresiones de interacción entre humanos y máquinas más avanzadas.
  10. © 2018 All rights reserved. P A G E 11 Ventajas Los bots pueden estar disponibles 24/7/365 Pueden ser integrados en casi cualquier plataforma. Los bots son capaces de combinar millones de datos desde distintas fuentes.
  11. • Power Automate es una plataforma de automatización versátil que se integra a la perfección con cientos de aplicaciones y servicios. • Se puede utilizar para recibir notificaciones, sincronizar archivos, aprobar solicitudes, recopilar datos y mucho más. • Su función de automatización de procesos robóticos llamada flujos de interfaz de usuario, se utiliza para reducir las tareas manuales repetitivas. Oportunidades: • Automatice e integre los procesos de negocio • Automatice y modele los procesos empresariales en sus aplicaciones y servicios • Desde automatizaciones simples hasta escenarios avanzados con ramas, bucles y más • Active acciones, conceda aprobaciones y reciba notificaciones justo donde trabaja
  12. QnA Maker
  13. © 2018 All rights reserved. P A G E 17 Azure Cognitive Services Percepción Comprensión Visión Voz Lenguaje Decisión Computer Vision Face API Custom Vision Text-to-Speech Speech-to-Text Speech Translator Speaker Recognition Language Understanding Text Translator Text Analytics QnA Maker Anomaly Detector Content Moderator Personalizer
  14. © 2018 All rights reserved. P A G E 18 QnA Maker (Question Answering)
  15. © 2018 All rights reserved. P A G E 19
  16. © 2018 All rights reserved. P A G E 20 Ventajas 1) Chatea en más de 50 idiomas 2) Extracción automática de preguntas y respuestas desde contenido semi-estructurado 3) Conversaciones multi-turno pueden ser creadas, editadas y entrenadas fácilmente 4) Agrega o remueve sugerencias para preguntas alternativas desde la base de conocimiento 5) Los bots pueden ser creados y publicados sin necesidad de contar con experiencia en código
  17. © 2018 All rights reserved. P A G E 21 Cualquier documento o sitio web con pares de preguntas y respuestas puede importarse a QnA Maker. 1) Crea un nuevo servicio Link: qnamaker.ia 2) Creamos una nueva base de conocimientos (KB) 3) Creamos un servicio QnA Maker en Azure 4) Le damos actualizar y seleccionamos el servicio 5) Agregamos el nombre de la Base de Conocimiento [KB] 6) Importamos FAQ (URL, PDF, DOCX, ETC) 7) Creamos la KB 8) Guardamos, entremos y revisamos Importa un FAQ en QnA Maker
  18. © 2018 All rights reserved. P A G E 22 Después de publicar el servicio de QnA Maker, puedes crear un bot de forma directa. Conecta el QnA Service con Azure Bot Service
  20. Endpoint key POST KB HOST
  21. Demo
  22. Recursos Adicionales
  23. Microsoft Learn Modulo Learning Path Documentation 
  24. Redes Sociales
  25. Redes Sociales
  26. CUMBRE VIRTUAL Comunidades Microsoft del Ecuador Comunidad Microsoft UCuenca

Notas do Editor

  1. But how do you realize those opportunities when so many challenges get in the way? Businesses try off-the-shelf software-as-a-service (SaaS) solutions, but there isn’t always “an app for that.” Some processes are best solved by custom app development. But there is only so much custom app development an organization can invest in, and your organization might not have the required expertise. Some processes require data from multiple, siloed sources. But it’s difficult to share data between siloed workloads and legacy applications. Everything else is a missed opportunity to optimize and innovate. An end-to-end, integrated platform could solve these challenges and empower you to pursue new opportunities. Shadow IT is the use of information technology systems, devices, software, applications, and services without explicit IT department approval.
  3. We attribute the above-market growth to innovative platform enhancements we’ve made that empower ISVs to create apps they simply couldn’t build elsewhere. Our one-of-a-kind platform consists of three layers that are available to you in a completely customizable manner to complement almost any scenario you or your customer might face. The middle layer is at the heart of the platform’s differentiation for ISVs. It includes the engines, the data service, and the logic to support different build permutations. AS many of you know, our first-party applications are born from two different stacks. Traditional CRM apps were built on the Power Platform while ERP apps were on a legacy system. These stacks didn’t share data or tools. A lot of ISVs saw the value of the Power Platform stack with the Common Data Service and would use the first-party apps just to access it. But that’s not how businesses work anymore, and it’s not how digital transformation happens. Today, customers need to be able to share data across groups and apps, and they need solutions tailored for their unique environment and business model. So we rebuilt Dynamics 365 to be an Azure, cloud-native app that uses the Common Data Service (CDS) to standardize data schemas across all apps. In doing so, we eliminated the traditional silos of ERP and CRM in favor of modular frameworks, and we separated the applications layer from the platform layer to enable better access to Power Apps, CDS, and Flow. Now, if you want to build a marketing app and don’t want to start from scratch, you can extend our first-party marketing application to suit your needs. Or you can build your own app from the ground up on CDS using Power Apps and Flow. You can even connect an app you already built on a different platform to CDS or by adopting the UX of one of our first-part apps or using a direct data connector. Choosing Microsoft for your business applications gives you the ability to configure your app to connect with, integrate into, or pull from Office 365 and LinkedIn. Imagine what you can do by bringing these three cloud platforms together to the benefit of your app! You might choose to: • embed your sales proposal app in a Word document for customers to access and sign; • populate your customer’s Talent app with data from LinkedIn; • use Outlook to help your customers track their sales pipeline; • or connect your app to SharePoint. We’ve covered the middle layer with Power Platform and the top layer with Dynamics 365 first-part applications and the Office 365 and LinkedIn cloud platforms. That leaves the bottom layer. All of this is built on Azure. Azure opens up an infinite number of possibilities and opportunities, including but not limited to integrating AI and Machine Learning, IoT, and Cognitive Services into your solutions. By plugging into this system—from our first-part apps to Power platform to Azure—allows you to build without limitations. Using the method that works best for you. Its unrivaled capabilities empower you to create breakthrough line of business apps that customers are clamoring for.
  4. Power Virtual Agents empowers teams to easily create powerful bots using a guided, no-code graphical interface without the need for data scientists or developers. Addresses major issues with building bots Eliminates gap between SME & Dev team Minimizes IT efforts Why use a chatbot? Power to SME to create the bot logic Easy to use authoring canvas Makes it easier for users to have conversation in natural language Bots can invoke back-end process on behalf of users reducing the time and effort it takes to achieve simple jobs like placing an order. Power Virtual Agents Get contact and location information for clients Answers to questions on company policies Retrieve documents from large file systems
  5. Automate intelligent workflows to improve agility and productivity Power Automate Notifications about new sales promotions Reminders about outstanding tasks Messages to new employees with onboarding resources
  6. 2 Contenido semi-estructurado: FAQ, product manuals, guidelines, support documents, and policies 5 Simply upload a semi-structured document or URL