jeudi 20 septembre 2018
Artificial Intelligence (AI) and machine learning (ML) technologies extend the capabilities of software applications that are now found throughout our daily life: digital assistants, facial recognition, photo captioning, banking services, and product recommendations. The difficult part about integrating AI or ML into an application is not the technology, or the math, or the science or the algorithms.
mercredi 19 septembre 2018
A major item in scoring a health care organization is patient engagement. That is, patients are more likely to give a higher rating if they have some way to communicate to an organization with as little friction as possible.
David Houlding
Principal Healthcare Program Manager, Industry Experiences
jeudi 13 septembre 2018
Artificial Intelligence (AI) holds major potential for healthcare, from predicting the patient length of stays to diagnostic imaging, anti-fraud, and many more use cases. To be successful in using AI, healthcare needs solutions, not projects. Learn how you can close the gap to your AI in healthcare solution by accelerating your initiative using Microsoft Azure blueprints.
David Starr
Principal Systems Architect, Microsoft Azure
mercredi 12 septembre 2018
As part of the AI for Earth team, I work with our partners and other researchers inside Microsoft to develop new ways to use machine learning and other AI approaches to solve global environmental challenges. In this post, we highlight a sample project of using Azure infrastructure for training a deep learning model to gain insight from geospatial data.
mercredi 12 septembre 2018
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.
David Starr
Principal Systems Architect, Microsoft Azure
mercredi 12 septembre 2018
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.
David Starr
Principal Systems Architect, Microsoft Azure
mardi 11 septembre 2018
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.
Howard Bush
Principal, Banking and Capital Markets Lead
mardi 11 septembre 2018
In this blogpost, you will learn how Azure SQL Database intelligent performance feature Intelligent Insights has successfully helped a customer troubleshoot a hard to find 6-month intermittent database performance issue in a single day only.
vendredi 7 septembre 2018
From helping farmers identify and manage diseased plants to helping the hearing-impaired, this year’s finalists tackled difficult problems that affect people from all walks of life. In this post, we take a closer look at the champion project of Imagine Cup 2018, smartARM.
Joseph Sirosh
Corporate Vice President, Artificial Intelligence & Research
jeudi 6 septembre 2018
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…
