Making Sense of the Power BI Ecosystem

Power BI adoption growth has been astonishing. And with growing demand, we also have growing needs. The service started as an end-user-driven data visualization tool but is now at the enterprise-grade semantic layer. In this session, you will learn more about the major Power BI features and in which use cases to apply them. What…

Power BI Aggregations

Power BI was originally released as a fully cloud-based, end-user targeted data visualization tool. Now it’s both a robust and scalable enterprise-level BI ecosystem. Microsoft has increased its ability to deal with a large volume of data both imported into and hosted outside the service to implement semantic models. In this session, Wintellect Data Architect…

Machine Learning and AI for Software Developers – Part I

Machine learning (ML) and artificial intelligence (AI) are transforming the way software is written and, more importantly, what software is capable of. Developers are accustomed to writing code that solves problems algorithmically. It’s not difficult to write an app that hashes a password or queries a database. It’s another proposition altogether to write code that…

Azure Synapse Anaytics and the Modern Data Warehouse

As part of your cloud migration, the challenge of gathering Business Intelligence is amongst the most significant transformations being faced by companies today. The value of gaining insights from your data cannot be understated, and the techniques are changing and shifting. Join Derrick So’Brien, Senior Microsoft Instructor and Azure advocate, as we look at the…

Microsoft Custom Vision: Creating an Image Classification Model

Creating a model to classify images would usually involve creating your own deep learning model from scratch. This includes having a very large and diverse set of training images with a portion of them set aside as a test set, a good convolutional neural network as the model, and a GPU enabled machine to do…

Evaluate Your Models with Cross Validation in ML.NET

Let’s say you’ve been working on a machine learning model and your initial evaluation on test data looks good but is that the same kind of performance you’ll get once you deploy your model to take on actual data it hasn’t seen before? This can happen if your model has overfitted to your data. We…

A Tour of Azure Databricks

In this webinar, we’ll go over Azure Databricks, and explore where and how it fits into the Azure Data Platform. This will be followed by a live demo on the core functionality.

Beginning R Programming for Data Science: Language Basics

If you’ve done even a short amount of research into data science, there is no doubt you’ve come across the Python vs. R debate. While we won’t get into which is better, there is nothing wrong with knowing both. You may be stronger in one than the other, and even prefer that one, but knowing…

Wintellect Accepted Into the Microsoft AI Inner Circle Program

Wintellect is proud to have been selected as one of an elite group of invitation-only Microsoft partners to join Microsoft’s new AI Inner Circle Partner Program. “We are excited to be part of this exclusive group, and look forward to deepening our partnership with Microsoft and jointly advancing business transformations for our customers with AI,”…