2018년 10월 2일 화요일
In the past two years since PyTorch's first release in October 2016, we've witnessed the rapid and organic adoption of the deep learning framework among academia, industry, and the AI community at large.
2018년 9월 25일 화요일
We are pleased to announce public preview refresh of the Azure Machine Learning (AML) service. The refresh contains many new improvements that increase the productivity of data scientists.
2018년 9월 24일 월요일
Today we are very happy to release the new capabilities for the Azure Machine Learning service. Since our initial public preview launch in September 2017, we have received an incredible amount of valuable and constructive feedback.
2018년 9월 24일 월요일
AI, data and cloud are bringing in the next wave of transformative innovations across industries. With Azure AI, our purpose is to empower organizations to use AI to engage customers, empower employees, optimize operations and transform products.
2018년 9월 20일 목요일
Harvard Business Review, McKinsey, and Gartner all agree: The Internet of Things (IoT) will transform business.
2018년 9월 12일 수요일
Azure blueprints are far more than models drawn on paper or solution descriptions in a document. They are packages of scripts, data, and other artifacts needed to install and exercise a reference implementation solution on Azure.
2018년 9월 12일 수요일
The profound impact of machine learning (ML) and artificial intelligence (AI) is changing the way heath organizations think about many of the challenges they face. Making data-informed decisions based on actionable insights is improving many aspects of healthcare from patient diagnosis and outcomes to operational efficiencies.
2018년 9월 11일 화요일
In our last blog post Anti-money laundering – Microsoft Azure helping banks reduce false positives, we alluded to Microsoft’s high-level approach to a solution—which automates the end-to-end handling of anti-money laundering (AML) detection and management.
2018년 9월 6일 목요일
This blog was co-authored by Marty Donovan.Retail and consumer goods companies are seeing the applicability of machine learning (ML) to drive improvements in customer service and operational…
2018년 9월 4일 화요일
In a previous blog article Extracting actionable insights from IoT data I discuss the value of collecting IoT data from machines, assets and products. The whole point of collecting IoT data is to extract actionable insights.