Ep35: How to Build a Business Intelligence AI Chatbot

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Data Neighbor Podcast

40 episodes

1 day ago

Welcome to the Data Neighbor Podcast with Hai, Sravya, and Shane! We’re your friendly guides to the ever-evolving world of data. Whether you’re an aspiring data scientist, a data professional looking to grow your career, or just curious about how data shapes the world, you’re in the right place. Our mission? To help you break in or thrive in the field of data. We dive into: - Personal career journeys and how luck, opportunity, and grit play a role - How to break into the data field even with a non-traditional background - Industry insights through engaging conversations and expert interviews

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Ep35: How to Build a Business Intelligence AI Chatbot

Data Neighbor Podcast

1 hour

3 months ago

Ep35: How to Build a Business Intelligence AI Chatbot

Are you overwhelmed by ad-hoc data questions? Ever wondered how to automate business intelligence with AI? Join us as we sit down with Lohitaksh Yogi, a seasoned AI product leader from companies like ServiceNow and Adobe, to explore the exciting world of AI data agents and Natural Language Business Intelligence (NLBI). Lohit shares his journey from early machine learning chatbots to cutting-edge LLM-powered conversational AI, offering invaluable insights into building and deploying these transformative systems.In this episode, you will learn:- The evolution of chatbots: Understanding the limitations of early rule-based systems vs. the powerful context-awareness of LLMs.- The vision for Natural Language Business Intelligence (NLBI): How close we are to asking a chatbot natural language questions and getting instant insights from our data.- Key challenges in AI deployment: Navigating schema ambiguities, data inconsistencies, and the critical issue of AI hallucinations.- Strategies for building an effective AI data agent: From designing intuitive user experiences (UX) to implementing robust error handling and feedback loops.- The paramount importance of data governance: Protecting sensitive information and ensuring data privacy when leveraging AI for internal data analysis.- Why internal beta testing is crucial: Breaking your system internally before exposing it to external stakeholders to build trust and ensure accuracy.- The right mindset for AI adoption: Viewing AI as an investment for long-term productivity gains, not a quick fix, and understanding its rapid evolution.Whether you're a data professional looking to boost productivity, a business leader seeking to automate data requests, or just curious about the future of AI in the enterprise, this episode provides actionable strategies and a realistic outlook on deploying AI data agents.

Connect with Lohitaksh: https://www.linkedin.com/in/lohitakshyogi/Connect with Hai, Sravya, and Shane (let us know YouTube sent you!):- Hai: https://www.linkedin.com/in/hai-guan-6b58a7a/- Sravya: https://www.linkedin.com/in/sravyamadipalli/- Shane: https://www.linkedin.com/in/shaneausleybutler/#Chatbots #ConversationalAI #AIDataAgents #NaturalLanguageBI #LLM #LargeLanguageModels #DataGovernance #AIHallucination #DataAnalytics #DataScience #MachineLearning #ProductLeadership #AIStrategy #UserExperience #DataWorkflow #AIPodcast #TechInsights #DataProduct #EnterpriseAI