Category Archives : Machine Learning

30

Mar

https://azure.microsoft.com/blog/extending-the-power-of-azure-ai-to-microsoft-365-users/Today, Yusuf Mehdi, Corporate Vice President of Modern Life and Devices, announced the availability of new Microsoft 365 Personal and Family subscriptions. In his blog, he shared a few examples of how Microsoft 365 is innovating to deliver experiences powered READ MORE

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26

Mar

How Azure Machine Learning enables PowerPoint Designer

If you use Office 365, you have likely seen the Microsoft PowerPoint Designer appear to offer helpful ideas when you insert a picture into a PowerPoint slide. You may also have found it under the Home tab in the ribbon. In either case, Designer provides users with redesigned slides to maximize their engagement and visual appeal. These designs include different ways to represent your text as diagrams, layouts to make your images pop, and now it can even surface relevant icons and images to bring your slides to the next level. Ultimately, it saves users time while enhancing their slides to create stunning, memorable, and effective presentations.

Designer uses artificial intelligence (AI) capabilities in Office 365 to enable users to be more productive and unlock greater value from PowerPoint. It applies AI technologies and machine learning based techniques to suggest high-quality professional slide designs. Content on slides such as images, text, and tables are analyzed by Designer and formatted based on professionally designed templates for enhanced effectiveness and visual appeal.

The data science team, working to grow and improve Designer, is comprised of five data scientists with diverse backgrounds in applied machine learning and software engineering. They strive to continue

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26

Mar

Azure Container Registry Private Link support preview for virtual networks

Azure Container Registry announces preview support for Azure Private Link, a means to limit network traffic of resources within the Azure network.

With Private Link, the registry endpoints are assigned private IP addresses, routing traffic within a customer-defined virtual network. Private network support has been one of the top customer asks, allowing customers to benefit from the Azure management of their registry while benefiting from tightly controlled network ingress and egress.
  

Private Links are available across a wide range of Azure resources with more coming soon, allowing a wide range of container workloads with the security of a private virtual network.

Private Endpoints and Public Endpoints

Private Link provides private endpoints to be available through private IPs. In the above case, the contoso.azurecr.io registry has a private IP of 10.0.0.6 which is only available to resources in contoso-aks-eastus-vnet. This allows the resources in this VNet to securely communicate. The other resources may be restricted to resources only within the VNet.

At the same time, the public endpoint for the contoso.azurecr.io registry may still be public for the development team. In a coming release, Azure Container Registry (ACR) Private Link will support disabling the public endpoint, limiting access to

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23

Mar

How Azure Machine Learning service powers suggested replies in Outlook

Microsoft 365 applications are so commonplace that it’s easy to overlook some of the amazing capabilities that are enabled with breakthrough technologies, including artificial intelligence (AI). Microsoft Outlook is an email client that helps you work efficiently with email, calendar, contacts, tasks, and more in a single place.

To help users be more productive and deliberate in their actions while emailing, the web version of Outlook and the Outlook for iOS and Android app have introduced suggested replies, a new feature powered by Azure Machine Learning service. Now when you receive an email message that can be answered with a quick response, Outlook on the web and the Outlook mobile suggest three response options that you can use to reply with only a couple of clicks or taps, helping people communicate in both their workplace and personal life, by reducing the time and effort involved in replying to an email.

The developer team behind suggested replies is comprised of data scientists, designers, and machine learning engineers with diverse backgrounds who are working to improve the lives of Microsoft Outlook users by expediting and simplifying communications. They are at the forefront of applying cutting-edge natural language processing (NLP) and machine

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21

Jan

MLOps—the path to building a competitive edge
MLOps—the path to building a competitive edge

Enterprises today are transforming their businesses using Machine Learning (ML) to develop a lasting competitive advantage. From healthcare to transportation, supply chain to risk management, machine learning is becoming pervasive across industries, disrupting markets and reshaping business models.

Organizations need the technology and tools required to build and deploy successful Machine Learning models and operate in an agile way. MLOps is the key to making machine learning projects successful at scale. What is MLOps ? It is the practice of collaboration between data science and IT teams designed to accelerate the entire machine lifecycle across model development, deployment, monitoring, and more. Microsoft Azure Machine Learning enables companies to fully embrace MLOps practices will and truly be able to realize the potential of AI in their business.

One great example of a customer transforming their business with Machine Learning and MLOps is TransLink. They support Metro Vancouver’s transportation network, serving 400 million total boarding’s from residents and visitors as of 2018. With an extensive bus system spanning 1,800 sq. kilometers, TransLink customers depend heavily on accurate bus departure times to plan their journeys.

To enhance customer experience, TransLink deployed 18,000 different sets of Machine Learning models to better predict bus departure

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04

Nov

https://azure.microsoft.com/blog/azure-machine-learning-ml-for-all-skill-levels/Enterprises today are adopting artificial intelligence (AI) at a rapid pace to stay ahead of their competition, deliver innovation, improve customer experiences, and grow revenue. AI and machine learning applications are ushering in a new era of transformation across industries READ MORE

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28

Oct

https://azure.microsoft.com/blog/automated-machine-learning-and-mlops-with-azure-machine-learning/Azure Machine Learning is the center for all things machine learning on Azure, be it creating new models, deploying models, managing a model repository, or automating the entire CI/CD pipeline for machine learning. We recently made some amazing announcements on READ MORE

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17

Jul

Microsoft makes it easier to build popular language representation model BERT at large scale

This post is co-authored by Rangan Majumder, Group Program Manager, Bing and Maxim Lukiyanovm, Principal Program Manager, Azure Machine Learning.

Today we are announcing the open sourcing of our recipe to pre-train BERT (Bidirectional Encoder Representations from Transformers) built by the Bing team, including code that works on Azure Machine Learning, so that customers can unlock the power of training custom versions of BERT-large models using their own data. This will enable developers and data scientists to build their own general-purpose language representation beyond BERT.

The area of natural language processing has seen an incredible amount of innovation over the past few years with one of the most recent being BERT. BERT, a language representation created by Google AI language research, made significant advancements in the ability to capture the intricacies of language and improved the state of the art for many natural language applications, such as text classification, extraction, and question answering. The creation of this new language representation enables developers and data scientists to use BERT as a stepping-stone to solve specialized language tasks and get much better results than when building natural language processing systems from scratch.

The broad applicability of BERT means that most developers

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25

Jun

Using natural language processing to manage healthcare records

The next time you see your physician, consider the times you fill in a paper form. It may seem trivial, but the information could be crucial to making a better diagnosis. Now consider the other forms of healthcare data that permeate your life—and that of your doctor, nurses, and the clinicians working to keep patients thriving. Forms and diagnostic reports are just two examples. The volume of such information is staggering, yet fully utilizing this data is key to reducing healthcare costs, improving patient outcomes, and other healthcare priorities. Now, imagine if artificial intelligence (AI) can be used to help the situation.

The Azure platform offers a wealth of services for partners to enhance, extend, and build industry solutions. Here we describe how SyTrue, a Microsoft partner focusing on healthcare uses Azure to empower healthcare organizations to improve efficiency, reduce costs, and improve patient outcomes.

Billions of records

Valuable insights remain locked in unstructured medical records such as scanned documents in PDF format that, while human-readable, present a major obstacle to the automation and analytics required. Over four billion medical notes are created every year. The clinical and financial insights embodied within these records are needed by an average of

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