Artificial Intelligence

Visual interface for Azure Machine Learning service

2019. május 22., szerda

During Microsoft Build we announced the preview of the visual interface for Azure Machine Learning service. This new drag-and-drop workflow capability in Azure Machine Learning service simplifies the process of building, testing, and deploying machine learning models for customers who prefer a visual experience to a coding experience.

Principle Program Manager Lead

Accelerate bot development with Bot Framework SDK and other updates

2019. május 16., csütörtök

Conversational experiences have become the norm, whether you’re looking to track a package or to find out a store’s hours of operation. At Microsoft Build 2019, we highlighted a few customers who are building such conversational experiences using the Microsoft Bot Framework and Azure Bot Service to transform their customer experience.

Principal Program Manager, Azure Platform

Take your machine learning models to production with new MLOps capabilities

2019. május 9., csütörtök

At Microsoft Build 2019 we announced MLOps capabilities in Azure Machine Learning service. MLOps, also known as DevOps for machine learning, is the practice of collaboration and communication between data scientists and DevOps professionals to help manage the production of the machine learning (ML) lifecycle.

Senior Program Manager, Azure MLOps

AI-first content understanding, now across more types of content for even more use cases

2019. május 3., péntek

Today, data isn’t the barrier to innovation, usable data is. Real-world information is messy and carries valuable knowledge in ways that are not readily usable and require extensive time, resources, and data science expertise to process. With Knowledge Mining, it’s our mission to close the gap between data and knowledge.

New Azure Machine Learning updates simplify and accelerate the ML lifecycle

2019. május 3., péntek

With the exponential rise of data, we are undergoing a technology transformation, as organizations realize the need for insights driven decisions. Artificial intelligence (AI) and machine learning (ML) technologies can help harness this data to drive real business outcomes across industries. Azure AI and Azure Machine Learning service are leading customers to the world of ubiquitous insights and enabling intelligent applications such as product recommendations in retail, load forecasting in energy production, image processing in healthcare to predictive maintenance in manufacturing and many more.

Group Program Manager, Microsoft Azure

LaLiga entertains millions with Azure-based conversational AI

2019. május 3., péntek

For LaLiga, keeping fans entertained and engaged is a top priority. And when it comes to fans, the Spanish football league has them in droves, with approximately 1.6 billion social media followers around the world. So any time it introduces a new feature, forum, or app for fans, instant global popularity is almost guaranteed. And while this is great news for LaLiga, it also poses technical challenges—nobody wants systems crashing or going unresponsive when millions of people are trying out a fun new app.

Sports Business Development Architect

Intelligent edge innovation across data, IoT, and mixed reality

2019. május 2., csütörtök

We are at an incredibly exciting technology inflection point. The virtually limitless computing power of the cloud, combined with increasingly connected and perceptive devices at the edge of the network, create possibilities we could only have dreamed of just a few years ago – possibilities made up of millions of connected devices, infinite data, and the ability to create truly immersive multi-sense, multidevice experiences.

Corporate Vice President, Microsoft Azure