22-25 April 2026 Amy Boyd
Amy Boyd is a Cloud Advocate at Microsoft, having obtained a degree in Computer Science, completing a research project in Natural Language Processing/Machine Learning and an internship at Microsoft’s search engine, Bing. Amy is passionate about Data Science and Machine Learning and her roles at Microsoft have allowed her to work on many different areas of data science (visualisation, ML, big data, IoT) as well as working on projects with customers across the globe. Her role as a Cloud Developer Advocate is to help developers to engage with Azure and specifically the Azure AI Platform by providing content, learnings, and sample code. You will find her sharing her content and learnings online and at in-person events.
Amy Boyd's Sessions
Taking Models to the Next Level with Azure Machine LearningSQLBits 2020
Learn how Tailwind Traders data science team uses Azure Machine Learning features and services to create bespoke open source NLP models and optimise them. Includes Automated ML, Azure ML SDK and Hyperparameter tuning
Start Building Machine Learning Models Faster than You ThinkSQLBits 2020
Using custom machine learning models to fix inventory issues without changing a development life cycle. In this session, you’ll learn about the data science process and get an intro to Azure ML designer.
Azure Machine Learning: Applying Software Engineering to MLSQLBits 2019
Azure Machine Learning is a platform for developing and deploying your machine learning models on Azure. We will look at the life cycle of ML projects: from data, to model, to consumption. This will include Automated Machine Learning capabilities.
The Intelligence of your ThingsSQLBits 2016
The Internet of Things starts with your things. It's a great time to take a look at game changing technologies you can use today to make your IoT ideas stand out from the rest using Microsoft Azure.
Taking Models to the Next Level with Azure Machine LearningSQLBits 2020
Learn how Tailwind Traders data science team uses Azure Machine Learning features and services to create bespoke open source NLP models and optimise them. Includes Automated ML, Azure ML SDK and Hyperparameter tuning
Start Building Machine Learning Models Faster than You ThinkSQLBits 2020
Using custom machine learning models to fix inventory issues without changing a development life cycle. In this session, you’ll learn about the data science process and get an intro to Azure ML designer.
Azure Machine Learning: Applying Software Engineering to MLSQLBits 2019
Azure Machine Learning is a platform for developing and deploying your machine learning models on Azure. We will look at the life cycle of ML projects: from data, to model, to consumption. This will include Automated Machine Learning capabilities.
The Intelligence of your ThingsSQLBits 2016
The Internet of Things starts with your things. It's a great time to take a look at game changing technologies you can use today to make your IoT ideas stand out from the rest using Microsoft Azure.