How to build Secure Conversational Analytics / Text to SQL.

Greetings from CloudxLab Whether you're a seasoned IT professional or aspiring to build a career in this dynamic field, understanding how to leverage AI for secure and efficient database queries is crucial. Join us to explore cutting-edge techniques that are revolutionizing the way analytics are conducted, especially in the era of conversational AI and text-to-SQL. Agenda: Current State of Analytics: Discover how analytics were performed before the advent of GPT models and the challenges associated with traditional methods. AI-Powered Solutions: Learn how AI, specifically Text to SQL, can address the challenges faced in traditional analytics by automating and streamlining the process. Deep Dive into Text to SQL: - Leveraging LLM Agents: Explore how schema augmentation can enhance the capabilities of large language models (LLMs) in generating accurate SQL queries. - SQL Chain Agent from LangChain: Understand the role of LangChain's SQL Chain Agent in orchestrating complex queries. Challenges and Limitations of LLMs: - Prompt Overflow: Delve into issues related to excessive or complex prompts that may hinder accurate query generation. - Schema Challenges: Discuss the limitations posed by poorly named tables and columns, and the reliance on tribal knowledge within organizations. - Database Overload and Security Concerns: Address potential risks such as database overload and security vulnerabilities, including unauthorized access to sensitive information. - Team Permissions: Explore how granular control over table, row, and column permissions can mitigate security risks. Proposed Solutions to LLM Limitations: Learn about innovative strategies to overcome the challenges of using LLMs for secure and effective Text to SQL conversion, ensuring robust and accurate results. Demo and Q&A: Witness a live demonstration that showcases the application of these solutions in real-world scenarios. Engage in a Q&A session with our experts to clarify your doubts and explore further. Reach out to us at [email protected] for any assistance. Here is the link for Git repository -https://github.com/cloudxlab Drop us a mail at [email protected] in case of any query. To know more about CloudxLab visit - https://cloudxlab.com/ Follow us on social media for the latest updates- Facebook- https://www.facebook.com/cloudxlab/ Instagram- https://www.instagram.com/cloudxlab Twitter- https://www.twitter.com/cloudxlab LinkedIn- https://www.linkedin.com/company/cloudxlab