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No-Code Data Analysis with Azure Automated Machine Learning

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    No Coding Required: Azure Automated Machine Learning Predicts if a Tumor is Malignant or Benign (and So Much More)


    Many businesses accumulate massive amounts of ERP data, but successfully putting this data to work is often a different story. AKA Enterprise Solutions is constantly leveraging the latest technology from Microsoft to provide breakthrough ERP solutions. As a Dynamics 365 technical consultant at AKA who regularly works with large databases filled with thousands of rows of data, I decided it was time to find a new way to help businesses get more from their data. My mission led me to discover a Microsoft ERP solution called Azure Automated Machine Learning. This no-code/low-code solution from Microsoft is able to rapidly train machine learning models with all types of datasets from any source—such as CRM, SQL, Blog storage and more.


    So, the real question is, why is this solution so appealing? And, why should my business use Azure Automated Machine Learning to manage and analyze our datasets? It’s simple. Machine learning can actually detect and see connections between data that humans can’t. Discovering these data relationships can result in a better overall customer experience and can improve the way customers interact with your business as well. Machine learning can even help you to better understand your business, and that’s pretty huge!


    Putting Machine Learning to the Test


    Traditionally, machine learning has been both costly and time consuming to implement. Microsoft delivered an answer to these hurdles with the Azure Automated Machine Learning application. In fact, if your company is concerned with benefits vs. cost, you can use their free calculator to help you estimate and manage the expenses associated with Azure Automated Machine Learning. This solution isn’t free, but it is included with Microsoft Azure and it is a very reasonable investment.


    To show you just how easy it is to implement a machine learning model, I’ve put together an easy to follow machine learning implementation guide using the Breast Cancer Wisconsin (Diagnostic) Data Set. Within only an hour, I was able to transition this dataset into a fully trained machine learning model that predicts if a breast cancer tumor is malignant or benign (binary classification). See how I took 569 digitized images of breast cancer tumors and the Azure Automated Machine Learning solution to accurately predict if a tumor is malignant or benign 98.7% of the time.


    21 simple steps and a coffee break are all you need to create a fully trained machine learning model:




    The Azure Automated Machine Learning model isn’t limited to the healthcare industry--just imagine what it can do for your business! Take your unused ERP data and empower your company to make more informed, proactive decisions. Want to learn more about what your ERP data can do? Read more about Azure Automated Machine Learning from Microsoft. Or, contact the Azure experts at AKA today to go to the next level with your data.


    AKA specializes in making it easier to do business, simplifying processes and reducing risks. With agility, expertise, and original industry solutions, we embrace projects other technology firms avoid—regardless of their complexity. As a true strategic partner, we help organizations slay the dragons that are keeping them from innovating their way to greatness. Call us at 212-502-3900!

    Article by: Nick Castro | 212-502-3900

    Nick Castro is an Associate Technical Consultant at AKA Enterprise Solutions. With a strong background in Computer Science, Applied Mathematics and Statistics, and multiple Dynamics 365 certifications, he is able develop innovative and unique CRM solutions.

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