Azure Machine Learning Archives - Liwaiwai

What’s New In Azure Data & AI: Azure Is Built For Generative AI Apps

OpenAI launched ChatGPT in December 2022, immediately inspiring people and companies to pioneer novel use cases for large language models. It’s no wonder that ChatGPT reached 1 million users within a week of launch and 100 million users within two months, making it the fastest-growing consumer application in history.1 It’s likely several use cases could transform industries across the globe. As you may know, ChatGPT and similar generative AI capabilities found in Microsoft products like Microsoft 365, Microsoft Bing, and Microsoft Power Platform are powered by Azure. Now, with the recent addition of ChatGPT to Azure OpenAI Service as well as the preview of GPT-4,…

Drive Efficiency Through Automation And AI With The Microsoft Cloud

This year at Microsoft Ignite we explore how organizations can activate AI and automation directly in their business workflows and empower developers to use those same intelligent building blocks to deliver their own differentiated experiences. The global pandemic has created unprecedented levels of uncertainty, as well as the need to sense and reshape our physical and digital environments, sometimes in completely new ways. Leaders across industries recognize innovation as the only path forward. Critically, we’ve seen a shift from “innovation for innovation’s sake” toward a desire to lower operating costs, anticipate trends, reduce carbon footprints, and improve customer and employee experiences. We’re…

Microsoft Shares What’s Next In Machine Learning At NVIDIA GTC

Finding scalable solutions for today’s global challenges requires forward-thinking, transformative tools. As environmental, economic, and public health concerns mount, Microsoft Azure is addressing these challenges head on with high-performance computing (HPC), AI, and machine learning. The behind-the-scenes power for everything from MRI scans to energy management and financial services, these technologies are equipping customers and developers with innovative solutions that break through the boundaries of what’s possible in data and compute, paving the way for growth opportunities that span industries and applications around the world. Microsoft Azure is committed to unlocking these new opportunities for our customers, providing the broadest…

Feathr: LinkedIn’s Feature Store Is Now Available On Azure

Feature store motivation With the advance of AI and machine learning, companies start to use complex machine learning pipelines in various applications, such as recommendation systems, fraud detection, and more. These complex systems usually require hundreds to thousands of features to support time-sensitive business applications, and the feature pipelines are maintained by different team members across various business groups. In these machine learning systems, we see many problems that consume lots of energy of machine learning engineers and data scientists, in particular duplicated feature engineering, online-offline skew, and feature serving with low latency. Figure 1: Illustration on problems that feature store…

New Resources And Tools To Enable Product Leaders To Implement AI Responsibly

As AI becomes more deeply embedded in our everyday lives, it is incumbent upon all of us to be thoughtful and responsible in how we apply it to benefit people and society. A principled approach to responsible AI will be essential for every organization as this technology matures. As technical and product leaders look to adopt responsible AI practices and tools, there are several challenges including identifying the approach that is best suited to their organizations, products and market. Today, at our Azure event, Put Responsible AI into Practice, we are pleased to share new resources and tools to support customers…

Machine Learning

Announcing Advanced Azure Machine Learning Nanodegree Program With Udacity

Earlier this year, we empowered over 10,000 students from all over the world to learn the basics of machine learning over the course of four months. We are excited to announce the next stage of skilling with the availability of an advanced machine learning Nanodegree program on Udacity. Starting today, students can enroll for the Machine Learning Engineer for Microsoft Azure Nanodegree Program. This new Nanodegree program offers students the opportunity to develop deeper technical skills in machine learning (ML). Students will strengthen their skills by building and deploying sophisticated ML models using Azure Machine Learning. They will learn how to train ML models,…

Machine Learning

Azure Machine Learning Helps Customers Stay Ahead Of Challenges

Organizations today are striving to build agility and resilience to the fast-changing environment we live in. AI and machine learning innovation can help tackle these emerging challenges and enable cost efficiencies. However, organizations still encounter barriers to adopting and deploying machine learning at scale. Recently at Microsoft Ignite, Azure Machine Learning made a number of announcements that help organizations harness machine learning more easily, securely, and at scale. This includes capabilities like designer and automated machine learning UI, now generally available, that simplify machine learning for beginners and professionals alike. Advanced role-based access control (RBAC) and private IP link, in preview, make it…

Artificial Intelligence

Meeting The Challenges Of Today And Tomorrow With Azure AI

It’s inspiring to see how customers continue to reimagine how they work with the help of AI, which is more important today than ever. Our customers are finding innovative ways to deliver crisis management solutions, drive cost-savings, redefine customer engagement, and accelerate decision-making. Here are some notable examples we’ve recently seen: Scaling crisis management On the frontlines, first responders rely on Azure AI to scale their triage process to address the overwhelming number of people needing care and to ease volume in the system. For example, healthcare providers have created more than 1,400 bots using our Healthcare Bot service, helping…

Machine Learning

Azure Data Explorer and Stream Analytics For Anomaly Detection

Anomaly detection plays a vital role in many industries across the globe, such as fraud detection for the financial industry, health monitoring in hospitals, fault detection and operating environment monitoring in the manufacturing, oil and gas, utility, transportation, aviation, and automotive industries. Anomaly detection is about finding patterns in data that do not conform to expected behavior. It is important for decision-makers to be able to detect them and take proactive actions if needed. Using the oil and gas industry as one example, deep-water rigs with various equipment are intensively monitored by hundreds of sensors that send measurements in various…

Machine Learning

Microsoft Build 2019 | From Zero to AI Hero–Automatically generate ML models using Azure Machine Learning

Microsoft Build 2019 | From Zero to AI Hero–Automatically generate ML models using Azure Machine Learning Session ID: BRK3009 Automated ML is an emerging field in Machine Learning that helps developers and new data scientists with little data science knowledge build Machine Learning models and solutions without understanding the complexity of Learning Algorithm selection, and Hyper parameter tuning. With Azure Machine Learning’s automated machine learning capability, given a dataset and a few configuration parameters, you will get a trained high quality Machine Learning model for the dataset that you can use for Predictions. You will learn how CBRE &…

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