Microsoft Reactor

In the era of Large Language Models (LLMs), 'Conversational Analytics - NL2SQL' is becoming essential in analytics tools, like Copilot in Power BI and Microsoft Excel. This session will delve into the artifacts and challenges of converting natural language into SQL queries, which are then transformed into visuals. As NL interfaces are integrated into databases (e.g., Azure portal query editor), achieving Enterprise-Grade NL2SQL remains a significant challenge, requiring extensive research.

Read More-
https://aka.ms/AzureSQL-Database
https://aka.ms/NaturallanguagetoSQL
https://aka.ms/CopilotforPowerBI

The session will focus on- Explore this whitepaper with demo examples: (https://www.cidrdb.org/cidr2024/papers/p74-floratou.pdf)

What will the attendees learn from this session?
They will learn about LLM, NL, NL interfaces.

Speaker Bio: Dinesh Kumar P
In my 11-year journey in B2B SaaS, I've developed a strong passion for data, analytics, and AI, championing the low-code/no-code movement. Being one of the five Data Platform MVPs in India highlights my dedication to innovation in data technology, always with a focus on simplifying complex solutions and sharing knowledge.

Social Handle of the speaker-https://www.linkedin.com/in/dinesh-kumar-prabakaran/

Event Host: Kamal Shree Soundirapandian
Kamal Shree is a Developer Advocate at Microsoft. She is a Google Developer Expert, YouTuber (Whatsupcoders) with 12 years of experience in Web Technologies, Android, Flutter, and HarmonyOS. She has worked for multinational firms in India, Netherlands, and the USA. She is also a Mentor and Open-Source Community Builder.

Social Handles of the speaker:
https://twitter.com/whatsupcoders
https://www.linkedin.com/in/kamalshree/
https://sessionize.com/kamal-shree/