Cloud / Data Solutions Architect with a wide range of experience across the data stack. Passionate about emerging and innovative technologies and always eager to talk about how they may be leveraged to develop new solutions.
Robin Lester has submitted 12 sessions for SQLBits 2020, although the agenda hasn't been chosen yet. See all submitted sessions.

Pending Sessions

Object Detection and image classification in both open source and using Azure Custom Vision.
How to understand where bias lies, how to collect data and the impact of bias and ethical considerations in your data science solutions.
From data flows with AutoML and Cognitive Services, to helping with feature engineering and model explain-ability. Power BI is perfect both as an accompanying tool for machine learning and for adding intelligence.
You already have to tools – now let us add the intelligence. Everything you need to know to get started with Machine learning in SQL Server or Azure SQL Database
From Serverless to Hyperscale, performance improvements to networking implications, we will discuss all the advancements in the varieties of Azure SQL database in the last year.
Understand how to create, train and operationalize your data science projects in Azure Machine Learning.
Object Detection and image classification in both open source and using Azure Custom Vision.
How to understand where bias lies, how to collect data and the impact of bias and ethical considerations in your data science solutions.
From data flows with AutoML and Cognitive Services, to helping with feature engineering and model explain-ability. Power BI is perfect both as an accompanying tool for machine learning and for adding intelligence.
You already have to tools – now let us add the intelligence. Everything you need to know to get started with Machine learning in SQL Server or Azure SQL Database
From Serverless to Hyperscale, performance improvements to networking implications, we will discuss all the advancements in the varieties of Azure SQL database in the last year.
Understand how to create, train and operationalize your data science projects in Azure Machine Learning.

Sessions

Previous Sessions

In this talk we will discuss best practices around how to design and maintain an Azure SQL Data Warehouse for best throughput and query performance.
Within Azure we have a rich ecosystem of AI services that can be leveraged to gain new insights into your data. This session will give you an easy to digest breakdown of the key services that matter and how to approach each one. Cognitive Services, Bot Framework, Azure Machine Learning Studio, Databricks, Notebooks, the Azure ML SDK for Python and the Azure ML Service
Ever wondered how you can add the power of ML to your existing SQL estate without the need to invest in new services? Come to this session to learn about running Python and R workloads in SQL, the PREDICT function, and how to operationalise models in Azure SQL Database
Robin_Lester230141.jpg