Ask Questions, Get Answers: Master Text-to-SQL at Scale for Actionable Insights
The Practical AI podcast is proud to present the "GEN AI MASTERY" webinar series, kicking off with our inaugural episode titled "Ask Questions, Get Answers: Master Text-to-SQL at Scale for Actionable Insights."
Wondering how people are getting data analytics on-the-fly based on natural language queries? Does this seem like magic? How does an LLM talk to a SQL database? In the webinar, we will demystify all of this and give you the practical skills you need to integrate this functionality in the real world.
The webinar speakers bring a wealth of expertise and unique perspectives to the table:
Chris Benson, Principal Strategist at Lockheed Martin, stands at the forefront of integrating generative artificial intelligence, autonomy, software, cybersecurity, and real-time streaming data. Chris's work is characterized by radical creativity and innovation, aiming to advance the state-of-the-art in AI applications across critical domains.
Daniel Whitenack, CEO and Founder of Prediction Guard, addresses the pressing challenges teams face when integrating Large Language Models (LLMs) into their systems. With an emphasis on building robust, compliant AI solutions, Daniel will share strategies to mitigate risks such as data privacy breaches, hallucinations, and regulatory non-compliance, ensuring that LLM integrations meet the highest standards of reliability and safety.
Chang She, CEO and Co-founder of LanceDB, introduces the cutting-edge LanceDB vector database, designed for seamless scalability and efficiency in managing multi-modal AI data. Chang's insights will demonstrate how developers can leverage this open-source tool to significantly reduce overhead while enhancing AI capabilities, including direct data streaming for training or fine-tuning purposes.
Bryan Bischof, Director of Engineering: AI at Hex, spearheads the AI initiatives at Hex, overseeing the engineering teams dedicated to developing a Data Scientist AI assistant. In addition to his leadership role at Hex, Bryan holds an adjunct faculty position at Rutgers, where he teaches data science and machine learning.
Throughout this episode, participants will engage in a comprehensive exploration of how to effectively communicate with data using LLMs, turning complex data queries into actionable insights through Text-to-SQL conversion. Our speakers will guide attendees through practical demonstrations, showcasing the implementation of these technologies to solve real-world challenges.
Whether you are a developer, a business strategist, or an AI enthusiast, the "Ask Questions, Get Answers: Master Text-to-SQL at Scale for Actionable Insights" episode will equip you with the knowledge and skills to push the boundaries of what's possible with AI.