Earlier today, we announced the general availability (GA) of Video Indexer. This means that our customers can count on all the metadata goodness of Video Indexer to always be available for them to use when running their business. However, this GA is not the only Video Indexer announcement we have for you. In the time since we released Video Indexer to public preview in May 2018, we never stopped innovating and added a wealth of new capabilities to make Video Indexer more insightful and effective for your video and audio needs.
Delightful experience and enhanced widgets
The Video Indexer portal already includes insights and timeline panes that enables our customers to easily review and evaluate media insights. The same experience is also available in embeddable widgets, which are a great way to integrate Video Indexer into any application.
We are now proud to release revamped insight and timeline panes. The new insight and timeline panes are built to accommodate the growing number of insights in Video Indexer and are automatically responsive to different form factors.
By the way, with the new insight pane we have also added visualizations for the already existing keyframes extraction capability, as well as new
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.
To rapidly acquire new capabilities and implement new solutions, healthcare IT and developers can now take advantage of industry-specific Azure Blueprints. Blueprints include resources such as example code, test data, security, and compliance support. These are packages that include reference architectures, guidance, how-to guides, and other documentation, as well as executable code and sample test data built around a key use case of interest to healthcare organizations. Blueprints also contain components to support privacy, security, and compliance initiatives, including threat models, security controls, responsibility matrices, and compliance audit reports.
You can learn more by attending the Accelerating Artificial Intelligence (AI) in Healthcare using Microsoft Azure Blueprints Webcast – Part 2: Customization. Building on the introduction of Microsoft Azure Blueprints webcast, this session dives in deeper focusing on customizing the blueprints to your unique needs and organization. This session is intended for healthcare providers, payers,
We continue to expand the Azure Marketplace ecosystem. From August 1, 2018 to August 15, 2018 50 new offers successfully met the onboarding criteria and went live. See details of the new offers below:
AudioCodes IP Phone Manager Express: AudioCodes IP Phone Manager enables administrators to offer a reliable desktop phone service within their organization. Deploy and monitor AudioCodes IP phones to increase productivity and lower IT expenses.
Balabit Privileged Session Management (PSM): Balabit Privileged Session Management (PSM) controls privileged access to remote IT systems; records activities in searchable, movie-like audit trails; and prevents malicious actions.
BOSH Stemcell for Windows Server 1803: BOSH Stemcell for Windows Server 1803 by Pivotal Software Inc.
Consul Certified by Bitnami: Consul is a tool for discovering and configuring services in your infrastructure. Bitnami certifies that our images are secure, up-to-date, and packaged using industry best practices.
etcd Certified by Bitnami: etcd is a distributed key-value store designed to securely store data across a cluster. etcd is widely used in production due to its reliability, fault tolerance, and ease of use.
Making it easy for developers to get started on coding has always been our top priority. We are happy to announce that HDInsight Tools for VS Code now integrates with VS Code Azure Account. This new feature makes your Azure HDInsight sign-in experience much easier. For first-time users, the tools put the required sign-in code into the copy buffer and automatically opens the Azure sign-in portal where the user can paste the code and complete the authentication process. For returning users, the tools sign you in automatically. You can quickly start authoring PySpark or Hive jobs, performing data queries, or navigating your Azure resources.
We are also excited to introduce a graphical tree view for the HDInsight Explorer within VS Code. With HDInsight Explorer, data scientists and data developers can navigate HDInsight Hive and Spark clusters across subscriptions and tenants, and browse Azure Data Lake Storage and Blob Storage connected to these HDInsight clusters. Moreover, you can inspect your Hive metadata database and table schema.
Key Customer Benefits Support Azure auto sign-in and improve sign-in experiences via integration with Azure Account extension. Enable multi-tenant support so you can manage your Azure subscription resources across tenants. Gain insights into available HDInsight Spark,
Azure Boards is a service for managing the work for your software projects. Teams need tools that flex and grow. Azure Boards does just that, brining you a rich set of capabilities including native support for Scrum and Kanban, customizable dashboards, and integrated reporting.
In this post I’ll walk through a few core features in Azure Boards and give some insight in to how you can make them work for your teams and projects.
All work in Azure Boards is tracked through an artifact called a work item. Work items are where you and your team describe the details of what’s needed. Each work item uses a state model to track and communicate progress. For example, a common state model might be: New > Active > Closed. As work progresses, items are updated accordingly, allowing everyone who works on the project to have a complete picture of where things are at. Below is a picture of the work items hub in Azure Boards. This page is the home for all work items and provides quick filters to allow you to find the items you need.
Opening a work item brings you to a much richer view,
Matei Zaharia, Chief Technologist at Databricks & Assistant Professor of Computer Science at Stanford University, in conversation with Joseph Sirosh, Chief Technology Officer of Artificial Intelligence in Microsoft’s Worldwide Commercial Business
At Microsoft, we are privileged to work with individuals whose ideas are blazing a trail, transforming entire businesses through the power of the cloud, big data and artificial intelligence. Our new “Pioneers in AI” series features insights from such pathbreakers. Join us as we dive into these innovators’ ideas and the solutions they are bringing to market. See how your own organization and customers can benefit from their solutions and insights.
Our first guest in the series, Matei Zaharia, started the Apache Spark project during his PhD at the University of California, Berkeley, in 2009. His research was recognized through the 2014 ACM Doctoral Dissertation Award for the best PhD dissertation in Computer Science. He is a co-founder of Databricks, which offers a Unified Analytics Platform powered by Apache Spark. Databricks’ mission is to accelerate innovation by unifying data science, engineering and business. Microsoft has partnered with Databricks to bring you Azure Databricks, a fast, easy, and collaborative Apache Spark based analytics platform optimized for Azure.
At Microsoft, we are privileged to work with individuals whose ideas are blazing a trail, transforming entire businesses through the power of the cloud, big data and artificial intelligence. Our new Pioneers in AI series features insights from such pathbreakers. Join us as we dive into these innovators’ ideas and the solutions they are bringing to market. See how your own organization and customers can benefit from their solutions and insights.
All Episodes 1. Data Center Scale Computing and Artificial Intelligence with Matei Zaharia, Inventor of Apache Spark
Matei Zaharia is a co-founder and Chief Technologist at Databricks, an Assistant Professor of Computer Science at Stanford and the inventor of Apache Spark. Microsoft has partnered with Databricks to bring you Azure Databricks, a Spark-based analytics platform optimized for Azure offering simple setup, streamlined workflows and ease of collaboration between data scientists, engineers and business analysts. In a conversation with Joseph Sirosh, CTO for AI at Microsoft, Matei shares his thoughts about Spark, machine learning and interesting AI applications he’s encountered lately.
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. Such tools will finally enable us to accurately monitor and measure the impact of our solutions to problems such as deforestation and human-wildlife conflict, helping us to invest in the most effective conservation efforts.
Applying machine learning to geospatial data
When we looked at the most widely-used tools and datasets in the environmental space, remote sensing data in the form of satellite images jumped out.
Today, subject matter experts working on geospatial data go through such collections manually with the assistance of traditional software, performing tasks such as locating, counting and outlining objects of interest to obtain measurements and trends. As high-resolution satellite images become readily available on a weekly or daily basis, it becomes essential to engage AI in this effort so that we can take advantage of the data to make more informed decisions.
Geospatial data and computer
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. The Azure Security and Compliance Blueprint – HIPAA/HITRUST Health Data and AI is one such blueprint targeting a specific scenario common in healthcare.
The healthcare blueprint
The healthcare blueprint includes a real healthcare scenario and an associated machine learning experiment for predicted patient length of stay (LOS). This use case is valuable to healthcare organizations because it forecasts bed counts, operational needs, and staffing requirements. This adds up to considerable savings for the organization using a LOS machine learning experiment.
Blueprint solution guide
A blueprint, like the one for AI in healthcare, consists of multiple components along with documentation. That said, there may be some areas that lack clarity and cause trouble in using the blueprint services after installation. To help with any pain points in the installation and usage of the Healthcare AI blueprint, we’ve developed a solution guidance document, Implementing the Azure blueprint for AI.
The article introduces the blueprint and walks through tips for installation and running the AI/ML experiments.
There’s a lot you can do with Azure. But whether you’re modernizing your IT environment, building next-generation apps, harnessing the power of artificial intelligence, or deploying any of a million other solutions, there are foundational habits that can help you succeed.
On the Azure team, we spend a lot of time listening to our customers and understanding what makes them successful. We’ve started to compile a handful of routine activities that can help you get the most out of Azure.
Stay on top of proven practice recommendations
Highly effective Azure users understand that optimization is never really finished. To stay on top of the latest proven practices, they regularly review Azure Advisor.
Advisor is a free tool that analyzes your Azure resource configurations and usage and offers recommendations to optimize your workloads for high availability, security, performance, and cost. Examples of popular Advisor recommendations include rightsizing or shutting down underutilized Virtual Machines (VMs) and configuring backup for your VMs.
You can think of Advisor as your single pane of glass for recommendations across Azure. Advisor integrates with companion tools like Azure Security Center and Azure Cost Management, which makes it easier for you to discover and act on all