22-25 April 2026 
Gavita Regunath
Gavita Regunath is the Chief AI Officer with Advancing Analytics and a dual Microsoft AI MVP and Databricks MVP. She has a PhD in Computational and Experimental Fluid Dynamics andhas spent more than a decade transforming data into high-impact solutions in aeronautics, automotive, finance, and agritech. Gavita is addicted to learning and in her spare time when she is not blogging or talking about AI, she enjoys being a mother, going for a run and cooking something new.
Gavita Regunath's Training Days
Introduction to Building Scalable Machine Learning ModelsSQLBits 2023
Use Databricks to get to grips with the diverse range of machine learning topics. Fast-track your machine learning ability, looking at the latest crazes in machine learning.
Get there faster with Machine Learning in Azure SynapseSQLBits 2022
Looking to understand Machine Learning in Azure Synapse, then look no further.
Gavita Regunath's Sessions
Automated Machine Learning on AzureSQLBits 2023
AutoML which stands for Automated Machine Learning empowers data teams to quickly build and deploy machine learning models. It aims to reduce the time and expertise required to generate a machine learning model by automating the heavy lifting of preprocessing, feature engineering, model creation, tuning and evaluation.
When it comes to machine learning in Microsoft Azure, there are two main options for running your AutoML: (1) Azure Machine Learning Service and (2) Azure Databricks. This session will aim to introduce how to develop ML models using AutoML on both platforms, as well as the features of each and why you would choose one over the other.
How to get started with Computer Vision AutoML in AzureSQLBits 2023
In this talk, we will be leveraging Azure computer vision. The Azure Computer Vision is part of Azure Cognitive Services that provides pre-built, advanced algorithms that process and analyse images.
If you want to get started with computer vision but do not know where to start, then this talk will give you a good starting point to jumpstart your computer vision journey. You will leave this talk with an understanding of how to build and deploy your own computer vision models using Azure computer vision.
Keynote by The CommunitySQLBits 2023
Ben and Rob have found some wonderful folk to actually do the important parts of the community keynote. on the theme of
How to be a nonpassive member of the data community
D, E and I PanelSQLBits 2023
Come and meet the group working hard to make SQLBits as diverse and inclusive as it can be
AutoML: An Introduction To Get You StartedSQLBits 2022
Understand how to get started with any machine learning project using Databricks AutoML
Data Science and Analytics: Real-World Experience from Diverse voices in the fieldSQLBits 2022
In this session, we will cut through the marketing buzzwords to share experiences, tips, and tricks on how to be successful with Data Science and Analytics in the real world. Tune in to hear the team share real-world experience and get takeaways from industry insiders on real projects with impact. We will also discuss the ethics and fairness of Data Science and Analytics projects and how we can be more inclusive from a technology, people, and process standpoint.
AgentBricks vs Mosaic AISQLBits 2026
Databricks now offers two paths for building enterprise AI agents: AgentBricks and Mosaic AI. Join Tori and Gavi, 2 AI MVPs as they compare these capabilities, architecture, and ideal use cases. We’ll explore how AgentBricks simplifies agent creation with automated evaluation, synthetic data, and low‑code workflows, while Mosaic AI provides the broader infrastructure for model governance, routing, observability, and production‑grade agent systems. Attendees will learn when to use each, how they work together, and how to build scalable agentic applications across the Databricks platform.
Automated Machine Learning on AzureSQLBits 2023
AutoML which stands for Automated Machine Learning empowers data teams to quickly build and deploy machine learning models. It aims to reduce the time and expertise required to generate a machine learning model by automating the heavy lifting of preprocessing, feature engineering, model creation, tuning and evaluation.
When it comes to machine learning in Microsoft Azure, there are two main options for running your AutoML: (1) Azure Machine Learning Service and (2) Azure Databricks. This session will aim to introduce how to develop ML models using AutoML on both platforms, as well as the features of each and why you would choose one over the other.
How to get started with Computer Vision AutoML in AzureSQLBits 2023
In this talk, we will be leveraging Azure computer vision. The Azure Computer Vision is part of Azure Cognitive Services that provides pre-built, advanced algorithms that process and analyse images.
If you want to get started with computer vision but do not know where to start, then this talk will give you a good starting point to jumpstart your computer vision journey. You will leave this talk with an understanding of how to build and deploy your own computer vision models using Azure computer vision.
Keynote by The CommunitySQLBits 2023
Ben and Rob have found some wonderful folk to actually do the important parts of the community keynote. on the theme of
How to be a nonpassive member of the data community
D, E and I PanelSQLBits 2023
Come and meet the group working hard to make SQLBits as diverse and inclusive as it can be
AutoML: An Introduction To Get You StartedSQLBits 2022
Understand how to get started with any machine learning project using Databricks AutoML
Data Science and Analytics: Real-World Experience from Diverse voices in the fieldSQLBits 2022
In this session, we will cut through the marketing buzzwords to share experiences, tips, and tricks on how to be successful with Data Science and Analytics in the real world. Tune in to hear the team share real-world experience and get takeaways from industry insiders on real projects with impact. We will also discuss the ethics and fairness of Data Science and Analytics projects and how we can be more inclusive from a technology, people, and process standpoint.