Nitin Agarwal
Data Science, ML and AI @ Microsoft | Mentor | Speaker
Bengaluru, India
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Seasoned Data Science and AI leader with 13+ years of experience in building impactful intelligent solutions across domains. Skilled in leading large-scale projects, guiding cross-functional teams, and fostering a culture of innovation and excellence.
Expert in Machine Learning, Natural Language Processing, Generative AI and, driving business growth and operational efficiency. Proven track record of enhancing customer satisfaction and streamlining operations through cutting-edge technologies.
Recognized for strong leadership, strategic thinking, and a passion for mentoring future talent. A quick learner, frequent speaker and thought leader in the data science community, with numerous accolades for innovation and excellence.
Area of Expertise
Topics
Creating Intelligent AI Agents for Database Queries
discover how to create an AI-driven database agent using LangChain and large language models (LLMs). We’ll explore how to harness these technologies to answer SQL database queries effectively.
In this session, we will:
[5 minutes]
Introduction: Overview of AI database agents and their potential benefits.
[15 minutes]
Understanding AI Agents: Key concepts and applications of AI agents in managing and querying SQL databases.
[10 minutes]
SQL Agents in Action: SQL agent, showcasing its ability to handle database schema and content queries.
I've outlined the session breakdown for a 30-minute slot. However, extending it to 60 minutes would allow us to cover all the necessary details more thoroughly. Thank you.
Carbon-Aware Development: Smarter, Greener AI
Join us for an insightful session on leveraging Python to minimize the carbon footprint of AI models. We'll delve into effective strategies, best practices, and tools for crafting eco-friendly AI solutions. Discover how to embed carbon-awareness into your development process, ensuring that your technological advancements also support a sustainable future. Ideal for developers, data scientists, and tech enthusiasts dedicated to responsible AI practices.
Key Takeaways:
[10 minutes]
- Understanding Carbon Footprint in AI: Gain a comprehensive understanding of how AI development impacts the environment and why carbon-aware practices are crucial.
[15 minutes]
- Tools and Libraries: Learn about specific tools, libraries, and frameworks in Python that help monitor and reduce the carbon footprint of AI models.
[5 minutes]
Question and Answers
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