1 / 9

Developing a Chatbot Using Generative Ai

This guide explains how Generative AI is revolutionizing chatbots by enabling human-like conversations, automation, and intelligent workflows. It outlines key development steps, the role of agentic AI, and why managers need specialized training like a Generative AI course for managers and an agentic AI course to lead AI-driven initiatives effectively.

Sanjay141
Télécharger la présentation

Developing a Chatbot Using Generative Ai

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Developing a Chatbot Using Generative AI A Manager's Guide to Building AI-Powered Conversational Solutions

  2. Why Generative AI is Changing Chatbots • Traditional chatbots relied on scripts and decision trees, but Generative AI changes this by: • - Understanding context rather than just keywords • - Generating dynamic language like a human • - Adapting tone and personality to the situation • Used widely in healthcare, e-commerce, education, and finance.

  3. Steps to Develop a Generative AI Chatbot 1. Define Business Goals: Reduce service load, drive leads, improve engagement. 2. Select the Right Generative AI Models: Choose models optimized for your use case. 3. Create a Scalable Data Pipeline: Ensure clean, unbiased, and governed data.

  4. Steps to Develop a Generative AI Chatbot (Contd.) 4. Integrate with Existing Systems: CRMs, HR, e-commerce for better functionality. 5. Test and Iterate: Continuous improvement through feedback and data updates.

  5. Why Managers Need Generative AI Learning • Generative AI course for managers teaches: - Business integration strategies - Risk and ethics management - Leading cross-functional AI teams • Gen AI course for managers focuses on practical deployment and oversight.

  6. Role of Agentic AI in Chatbots • Agentic AI adds reasoning and task execution: - Automates product ordering and scheduling - Generates reports instantly • Agentic AI course helps managers design intelligent, autonomous workflows.

  7. Benefits of Generative AI Training • Generative AI training programs help managers: - Evaluate vendor solutions effectively - Set realistic ROI expectations - Understand AI adoption roadmaps in their sector.

  8. Challenges and Solutions • Challenges: - AI hallucinations - Data privacy and compliance - Legacy system integration • Solutions from Generative AI training: - Reinforcement learning - Governance models - Human-in-the-loop approaches.

  9. Final Thoughts • Generative AI chatbots redefine business communication. • Managers trained via Generative AI course for managers and agentic AI course will lead this shift. • Question is not 'Should we adopt AI?' but 'How quickly can we adapt?'

More Related