Machine Learning

MLOps: How To Automate The Machine Learning Model Pipeline

Machine learning, an application of artificial intelligence (AI) that allows computers to automatically learn and improve based on experience, is often regarded as one of the most advanced industries on the planet. The time it takes to move from concept to manufacture and generate economic value is a significant barrier in the industry.

 

In a recent webinar, hosted by Data Analytics Consultant Brad Jarrett, we offered an overview of machine learning and the Azure Machine Learning Service. We also looked at essential principles in the machine learning (ML) CI/CD process.

 

Additional topics covered:

  • How to efficiently get a model deployed into production
  • What tools are available on the market
  • The ML model lifecycle

 

If you are concerned about testing and approval gates or worried about model performance and data drifting, this webinar is for you. You can watch the entire webinar by clicking the link below.

 

Be sure to join us each week for our free webinars that happen every Tuesday at 11 AM ET. Our webinars cover a wide range of Azure topics and are presented by industry experts. Check out what webinars are coming up on our events calendar.

Need further help? Our expert team and solution offerings can help your business with any Azure product or service, including Managed Services offerings. Contact us at 888-8AZURE or  [email protected].

3CloudMLOps: How To Automate The Machine Learning Model Pipeline
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Azure Databricks in the Modern Data Warehouse

The Modern Data Warehouse is an architecture that considers the way we consume, analyze, and distribute data. Today, businesses use Azure Synapse Analytics to build brand-new data warehouses in the cloud. When your data transfer to the cloud is supported by an effective data management platform, you can quickly deliver accessible, timely, and actionable data to drive innovative business decisions.

In a recent webinar, hosted by Principle Data Architect, Rowland Gosling we discussed how to utilize Azure Databricks to transport data from a variety of data sources into Azure Data Lake, Synapse Analytics, and visualize using Power BI’s streaming capabilities.

Additional topics covered:

  • The evolution of Data Warehouse
  • What is Azure Databricks
  • The importance of Azure Databricks

If you are looking to modernize your data warehouse or use Azure Databricks to transport data from various sources, this webinar is for you. You can view the complete webinar by clicking on the link provided below.

Be sure to join us each week for our free webinars that happen every Tuesday at 11 AM ET. Our webinars cover a wide range of Azure topics and are presented by industry experts. Check out what webinars are coming up on our events calendar.

Need further help? Our expert team and solution offerings can help your business with any Azure product or service, including Managed Services offerings. Contact us at 888-8AZURE or  [email protected].

3CloudAzure Databricks in the Modern Data Warehouse
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A Success Story Using Auto ML in Power BI Premium

Azure Machine Learning and Power BI are two of the most influential tools out there. I’d like to share a story about how a colleague and I recently completed a project for a public school district in Georgia using these powerful tools.

The purpose of this project was to integrate machine learning and predictive analytics to be able to feed inputs that existed in their data about students such as classes they’d taken, attendance, grades, etc. and use this information to predict the likelihood of high school graduation. The district could then use this to proactively guide students and give them the help they needed.

We used the Auto ML feature in Power BI Premium. My colleague, Brian Custer, oversaw the machine learning model design. Auto ML is a straightforward process in Power BI. All that was needed was to create data using the information we wanted to look at that may have an impact on graduation and then we put this through a wizard in Auto ML. Once we did that, out came a model that was trained and ready to go for prediction.

Machine learning models exist in several different forms and leverage the capabilities that are built into Azure – we have Azure Machine Learning, Python and R, integrations with SQL Server, as well as Auto ML and other features within Power BI.

So, what exactly is Auto ML in Power BI? It’s a wizard driven machine learning interface that works off dataflows. You start off with a dataflow and you must have your training and prediction entities in your dataflow. This is passed to an Auto ML model that you choose and then it automatically trains the model for you and delivers predictions.

This is a very simple pipeline to set up. In our case we simply hooked up to the data that was in Azure Data Lake Gen2 storage and brought it into some SQL tables.

The school district we created this for couldn’t have been happier with the results and they are currently using this machine learning model to help predict the probability of high school graduation and ensure that students in the path of not graduating get the help they need to succeed.

Need further help? Our expert team and solution offerings can help your business with any Azure product or service, including Managed Services offerings. Contact us at 888-8AZURE or  [email protected].

Paul TurleyA Success Story Using Auto ML in Power BI Premium
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AutoML in Power BI Without Premium

Most of you probably know about the automated machine learning (ML) functionality in the Power BI Service. This provides a no-code mechanism for preparing, training, and applying machine learning models to your data analysis in Power BI, but is only available in Power BI Premium at this time.

Chris SilvernailAutoML in Power BI Without Premium
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Microsoft’s Power BI a Leader in BI Solutions in the 2020 Gartner Magic Quadrant Report

We’re excited to share that, once again, Microsoft is a leader of Analytics and Business Intelligence (ABI) platforms in the 2020 Gartner Magic Quadrant – this is the 13th straight year that Microsoft has been recognized. In this Magic Quadrant report the analytics and BI platforms available on the market are compared based on their features, usability, and capabilities; and Power BI was a top leader.

3CloudMicrosoft’s Power BI a Leader in BI Solutions in the 2020 Gartner Magic Quadrant Report
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Building a More Effective Sales Team Using Analytics

Your sales team is the backbone of your business. Today I’d like to talk about using analytics to build a more effective sales team. This is a big topic for many organizations and I’ll give you some insight into how to use analytics to make your sales teams go from good to great.

 

Adam JorgensenBuilding a More Effective Sales Team Using Analytics
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