Nanda Nainadurai
Manager, Avanade
Reading, United Kingdom
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Nanda has over a decade of work experience in the IT industry and has worked with multiple Fortune 500+ organizations across various industries contributing to their data strategy and AI/ML initiatives. Nanda is passionate about cutting-edge technologies and loves to learn and share his knowledge with everyone. During his free time, he likes to walk along the greenways and read books - Sapiens by Yuval is his all-time favorite thus far, and aspires to learn a new skill every year. Over the years, he has learned to cook, and ice skate, and becoming a copilot is next on his list.
Area of Expertise
Topics
Azure Synapse Analytics - Go from Zero to Hero
What is it?
The session will focus on the positioning of Azure Synapse Analytics in the market among all other existing tools (ex: ADF + Databricks) and explore the various features of Azure Synapse - for ex: how it can be used in data engineering, data warehousing, SQL serverless, etc. The session will cover some high-level introduction about Azure Synapse Analytics and a demo walk through of the platform - with an example use-case.
Who is it for?
This session is focused on people who are either beginners or at an intermediate level in their data platform career.
This session is for you:
- If you have heard about Azure Synapse Analytics but haven't seen it in action yet
- If you have learned a little bit about Azure Synapse Analytics and wanted to learn more about its capability
- If you are curious to get an idea about all the features delivered by Azure Synapse Analytics
- If you are keen to start using Azure Synapse Analytics in your next project or introduce this within your organization
Introduction to Vector Databases. Going beyond the usual ChatGPT response.
This session will focus on introducing the challenges of using ChatGPT, and discuss various approaches to overcome them, including fine-tuning the GPT model and using the Retrieval Augmented Generation (RAG) methodology. We will also discuss in detail the pros and cons of each approach. We will then discuss how to measure the results and how to pick an approach that would best suit based on the needs. Then we will dive deeper into a real-world example along with code and explore how to use vector embeddings and vector databases.
March 2024 Reading Data & AI MeetUp
Introduction to Vector Databases. Going beyond the usual ChatGPT response.
Data Relay 2022 Sessionize Event
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