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What if you could turn thousands of multilingual customer reviews, support tickets, and survey responses into structured, actionable insights using just SQL?

Join us for the first session in a three-part Databricks series, exploring how to transform raw data into AI-powered insights, build conversational data products, and deploy dashboards reliably into production.

In this demo-led session, we’ll use AI Functions in Databricks SQL to translate, classify, score sentiment, and extract key details from multilingual reviews, all within a single query. You’ll also learn how to store results in governed Unity Catalog tables and apply practical techniques for prompt design, cost control, and quality checks.

Register Here
Date: Friday, November 13, 2026
Time: 5:00 PM – 6:00 PM IST
Location: Online | Register Here

What You’ll Learn

  • From Unstructured Text to Insights: Transform raw customer reviews and other multilingual text into structured, queryable data.
  • AI-Powered Text Processing with SQL: Translate, classify, analyze sentiment, and extract key details using Databricks SQL AI Functions.
  • Governed Data with Unity Catalog: Store and manage AI-enriched results in governed tables.
  • Practical Implementation: Explore prompt design, cost control, quality checks, and a reusable workflow with a GitHub repository.

Who Should Attend

  • Data Engineers, Analytics Engineers, and Data Scientists.
  • Databricks practitioners, SQL developers, and Data Platform Architects.
  • AI and Machine Learning professionals.
  • Business Intelligence professionals working with unstructured data and customer feedback.

Speaker
Supriya Badgujar
Senior Lead Data Engineer, v4c.ai

Supriya is a multi-cloud data engineer with 12+ years of experience leading, designing, and automating complex data pipelines across databases, data warehouses, and cloud platforms. She holds multiple certifications, including 2x Databricks, 2x Google Cloud, and 2x Azure, along with AWS and Snowflake certifications. A passionate mentor, Supriya has delivered numerous technical sessions and enjoys helping engineers solve real-world problems.

Explore the Three-Part Databricks Series
This session kicks off a three-part journey from AI-powered data processing to conversational analytics and production-ready dashboards.

Session 1: Your Pipeline Just Got a Brain: AI Functions in Databricks SQL
Learn to transform multilingual, unstructured text into structured insights using AI Functions and governed data tables.

Session 2: Talk to Your Data: Building an AI-Powered Data Product on Databricks
Date: December 11, 2026
Discover how to build a conversational data product using Unity Catalog and Databricks Genie, enabling business users to ask questions in plain English and get trustworthy answers.

Session 3: Dashboards as Code: DevOps Meets AI/BI on Databricks
Date: January 8, 2027
Explore how to version, parameterize, and promote AI/BI dashboards across development, testing, and production environments using Declarative Automation Bundles and CI/CD practices.

Don’t Miss the First Session
Start with the foundations of AI-powered data processing and discover how structured, governed data can become the building block for conversational analytics and reliable dashboard deployment.

Join us for this hands-on learning series and take away practical patterns, code, and resources to apply in your own Databricks environment.

#Databricks #DatabricksSQL #AI #DataEngineering #UnityCatalog #DatabricksGenie #DataAnalytics #DataCouch

Related topics

Artificial Intelligence
Machine Learning
Data Analytics
Advanced SQL Server

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