Matt How

This session helps data analysts, engineers, and scientists explore AI and data science in Microsoft Fabric. From Power BI AI visuals to AutoML, Data Agents, and custom ML, they will leave with clear options for advanced analytics and use cases.

Documents can be a gold mine for data, but with the challenges of volume, variety and complexity, how can you begin to extract useful information? By using Azure Cognitive Search developers can integrate Cognitive Services, Machine Learning and deep text search to distil valuable information. Attendees will be given a full run down of the capabilities of Azure Cognitive Search including document cracking, indexes and indexers, skill sets, semantic search and lots more!

The universal expansion of Data Science has allowed some organisations and tech giants to operate and perform in new and innovative ways. But some businesses are barely able to scratch the surface. In this interactive and demo-led session, attendees will see demos of Power BI, SQL Server, Azure Machine Learning and other easy to use tools with the headline goal of helping BI developers get great results with Data Science.

How can you train a machine learning model when the data points you need to identify are extremely rare? From synthetic data generation techniques, algorithm and metric selection to over and under sampling, this session will cover a variety of approaches that can be implemented through common libraries and toolsets. Attendees of this demo-led session will leave with an understanding of how to identify imbalanced classification problems and a myriad of resolution approaches to experiment with.

The unique challenges of data science mean that a fresh approach to project management is needed. We will discuss the key stages of an effective data science project and explain how to navigate each stage effectively. Using demos, anecdotes and examples, attendees will leave the session with an appreciation of the unique challenges of data science projects and how to plan for success in the future.

Customers have feelings and by harnessing the power of deep neural networks, we can derive emotional insight from their data and use this to improve. Attendees will leave understanding how to connect different types of data to cognitive services.

Learn how to master your data in the cloud with Azure services.