Generative AI User Group

Getting Started with GenAI on Snowflake Using Cortex and Snowpark

Fri, Feb 27 · 5:00 PM IST

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Online

Online

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Details
Getting Started with GenAI on Snowflake (Cortex + Snowpark) — Hands-on Workshop

Generative AI is changing how modern teams build intelligent applications - from faster analytics to smarter copilots and AI-powered workflows.
But in real enterprise environments, making GenAI work inside your data platform (securely + at scale) requires the right tools and integrations.
That’s where Snowflake Cortex + Snowpark shine.

In this hands-on 60-minute session, you’ll learn how to use Snowflake-native GenAI capabilities to build practical workflows using LLMs directly inside the Snowflake Data Cloud - without overcomplicating your stack.
You’ll leave with real examples, starter templates, and the confidence to begin building GenAI-powered applications on Snowflake.

Topic: Getting Started with GenAI on Snowflake Using Cortex and Snowpark
Date & Time: 27th February 2026 | 5:00 PM IST | Friday
Location: Online | Register Now

What You’ll Learn

• What Snowflake Cortex is and how it enables GenAI inside Snowflake
• Using Cortex LLM functions (summarization, classification, extraction, etc.)
• How Snowpark helps you build and deploy GenAI applications and workflows
• Build your first GenAI-powered workflow on Snowflake (step-by-step)
• Real enterprise use cases to help you apply this in your own project

Real-World Use Cases We’ll Cover

• Auto-summarizing support/customer conversations
• Extracting structured insights from unstructured text
• LLM-powered tagging/classification for analytics workflows

This session is ideal for:

• AI/ML Developers exploring enterprise-ready GenAI workflows
• Data Scientists scaling GenAI inside the Snowflake ecosystem
• Machine Learning Engineers integrating LLMs with modern data platforms
• Data Engineers & Analytics Engineers enabling AI inside data pipelines
• Anyone curious about building GenAI apps using Snowflake Cortex + Snowpark

✅ No prior GenAI experience required (basic SQL/data familiarity helps).

Meet the Speaker
Anand Jha is a seasoned Data & AI expert with strong experience across AI/ML and data engineering. He helps teams adopt and implement real-world GenAI use cases using Snowflake, Cortex, and Snowpark, focusing on practical, scalable solutions.
🔗 Connect with Anand on LinkedIn

Don’t Miss Out
This is a free, interactive session designed to help you go from curiosity to capability.

If you're looking to build enterprise-ready GenAI applications on Snowflake, this is the perfect place to start.
👉 Register Now and save your spot!

#GenAI #Snowflake #SnowflakeCortex #Snowpark #AIonSnowflake #LLM #EnterpriseAI #MachineLearning #DataEngineering #DataScience #AIWorkshop #DataCloud DataCouch

Snowflake vs. Databricks

Thu, Mar 19 · 5:00 PM IST

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Online

Online

## About the Session

Selecting between Snowflake and Databricks is no longer just a technical comparison - it’s a strategic enterprise decision that impacts governance, AI readiness, cost structure, and long-term platform scalability.

This 1-hour executive-focused meetup is designed to provide a clear, unbiased comparison of both platforms - helping decision-makers move beyond marketing narratives and toward informed, enterprise-ready choices.

Rather than positioning one as “better,” we will break down where each platform excels, where trade-offs exist, and how to evaluate them in the context of your organization’s goals.

Title: Snowflake vs. Databricks - Architectural Trade-offs, Governance, Cost, and Enterprise Decision Criteria
Date & Time: March 19, 2026 | 05:00 PM - 06:00 PM IST
Location: Online | Register Now

What We Will Explore
Architectural Foundations

• Snowflake’s cloud-native data warehouse model
• Databricks’ lakehouse architecture

Governance & Enterprise Controls

• Cataloging and metadata management
• Access control models
• Compliance readiness and security architecture

Pricing & Total Cost of Ownership

• Pricing models and consumption patterns
• Workload isolation strategies
• Hidden cost drivers

Performance & Workload Fit

• BI & analytics workloads
• Data engineering pipelines
• Streaming use cases

Enterprise Decision Framework

• Aligning platform choice with business strategy
• Team skillset considerations
• AI and future-readiness alignment

We will also address common enterprise pitfalls - such as selecting a platform based solely on pricing perception, optimizing for a single use case, or relying heavily on vendor positioning -ensuring your decision is strategic and future-proof.

Who Should Attend

• Chief Data Officers & Data Leaders
• Heads of Engineering, Data, and AI
• Enterprise & Cloud Architects
• Data Engineering & Analytics Leaders
• AI/ML Leaders building scalable production systems
• Technology Decision-Makers evaluating migration, consolidation, or expansion

If you are planning a new data platform initiative, modernizing your data stack, or evaluating long-term AI readiness, this session will provide the clarity and practical guidance you need.
Speaker
Nick Akincilar – AI & Data Strategist
Nick brings deep experience in modern data platform architecture and enterprise transformation initiatives. He has worked closely with organizations evaluating and implementing both Snowflake and Databricks environments, helping them balance innovation, governance, performance, and cost efficiency.

Don’t Miss Out
Make your next platform decision with confidence - not assumptions.

Register Now to secure your spot. This session is completely FREE.

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#Snowflake #Databricks #EnterpriseArchitecture #DataStrategy #DataGovernance #Lakehouse #CloudData #AIPlatforms #DataLeadership #TechWebinar #BigData #CloudComputing