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Cleaning your room takes effort. Blurring your background on Skype does not

We’ve all had those moments: You’re about to video call your parents and your laundry is all over the place, or you’re about to have a meeting with a potential investor and your business plan is on a whiteboard behind you, or you’re being interviewed on live television and your adorable child comes marching into the room. There are plenty of life’s moments that can get in the way of you being the focus in every video call—and that’s why we’re introducing background blur in Skype video calls.

Animated image of a background being blurred in Skype.

Background blur in Skype is similar to background blur in Microsoft Teams. It takes the stress out of turning on your video and puts the focus where it belongs—on you! With a simple toggle, right-click, or even through your Skype settings, your background will be instantly and subtly blurred, leaving just you as the only focal point.*

Background blur in Skype and Teams uses artificial intelligence (AI)—trained in human form detection—to keep you in focus during your call. This technology is also trained to detect your hair, hands, and arms, making a call with background blur just as relaxed and easy as a regular video call.

Background blur is available on most desktops and laptops with the latest version of Skype. For more questions about background blur in Skype, read our support article. We also love to hear from you on the Skype Community, where millions of Skype users have registered to share their expertise, feedback, and Skype stories.

*We do our best to make sure that your background is always blurred, but we cannot guarantee that your background will always be blurred.

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Azure Data Explorer, now available, can query 1 billion records in under a second

As Julia White mentioned in her blog today, we’re pleased to announce the general availability of Azure Data Lake Storage Gen2 and Azure Data Explorer. We also announced the preview of Azure Data Factory Mapping Data Flow. With these updates, Azure continues to be the best cloud for analytics with unmatched price-performance and security. In this blog post we’ll take a closer look at the technical capabilities of these new features.

Azure Data Lake Storage – The no compromise Data Lake

Azure Data Lake Storage (ADLS) combines the scalability, cost effectiveness, security model, and rich capabilities of Azure Blob Storage with a high-performance file system that is built for analytics and is compatible with the Hadoop Distributed File System. Customers no longer have to tradeoff between cost effectiveness and performance when choosing a cloud data lake.

One of our key priorities was to ensure that ADLS is compatible with the Apache ecosystem. We accomplished this by developing the Azure Blob File System (ABFS) driver. The ABFS driver is officially part of Apache Hadoop and Spark and is incorporated in many commercial distributions. The ABFS driver defines a URI scheme that allows files and folders to be distinctly addressed in the following manner:


abfs[s]://file_system@account_name.dfs.core.windows.net/<path>/<path>/<filename>

It is important to note that the file system semantics are implemented server-side. This approach eliminates the need for a complex client-side driver and ensures high fidelity file system transactions.

To further boost analytics performance, we implemented a hierarchical namespace (HNS) which supports atomic file and folder operations. This is important because it reduces the overhead associated with processing big data on blob storage. This speeds up job execution and lowers cost because fewer compute operations are required.

The ABFS driver and HNS significantly improve ADLS’ performance, removing scale and performance bottlenecks.  This performance enhancement is now available at the same low cost as Azure Blob Storage.

ADLS offers the same powerful data security capabilities built into Azure Blob Storage, such as:

  • Encryption of data in transit and at rest via TLS 1.2
  • Storage account firewalls
  • Virtual network integration
  • Role-based access security

In addition, ADLS’ file system provides support for POSIX compliant access control lists (ACLs). With this approach, you can provide granular security protection that restricts access to only authorized users, groups, or service principals and provides file and object data protection.

Azure Data Lake Storage diagram.jpg

ADLS is tightly integrated with Azure Databricks, Azure HDInsight, Azure Data Factory, Azure SQL Data Warehouse, and Power BI, enabling an end-to-end analytics workflow that delivers powerful business insights throughout all levels of your organization. Furthermore, ADLS is supported by a global network of big data analytics ISV’s and system integrators, including Cloudera and Hortonworks.

Next steps

Azure Data Explorer – The fast and highly scalable data analytics service

Azure Data Explorer (ADX) is a fast, fully managed data analytics service for real-time analysis on large volumes of streaming data. ADX is capable of querying 1 billion records in under a second with no modification of the data or metadata required. ADX also includes native connectors to Azure Data Lake Storage, Azure SQL Data Warehouse, and Power BI and comes with an intuitive query language so that customers can get insights in minutes.

Designed for speed and simplicity, ADX is architected with two distinct services that work in tandem: The Engine and Data Management (DM) service. Both services are deployed as clusters of compute nodes (virtual machines) in Azure.

Azure Data Explorer diagram

The Data Management (DM) service ingests various types of raw data and manages failure, backpressure, and data grooming tasks when necessary. The DM service also enables fast data ingestion through a unique method of automatic indexing and compression.

The Engine service is responsible for processing the incoming raw data and serving user queries. It uses a combination of auto scaling and data sharding to achieve speed and scale. The read-only query language is designed to make the syntax easy to read, author, and automate. The language provides a natural progression from one-line queries to complex data processing scripts for efficient query execution.

ADX is available in 41 Azure regions and is supported by a growing ecosystem of partners, including ISV’s and system integrators.

Next steps

Azure Data Factory Mapping Data Flow – Visual, zero-code experience for data transformation

Azure Data Factory (ADF) is a hybrid cloud-based data integration service for orchestrating and automating data movement and transformation. ADF provides over 80 built-in connectors to structured, semi-structured, and unstructured data sources.

With Mapping Data Flow in ADF, customers can visually design, build, and manage data transformation processes without learning Spark or having a deep understanding of their distributed infrastructure.

Azure Data Factory Mapping Data Flow

Mapping Data Flow combines a rich expression language with an interactive debugger to easily execute, trigger, and monitor ETL jobs and data integration processes.

Azure Data Factory is available in 21 regions and expanding, and is supported by a broad ecosystem of partners including ISV’s and system integrators.

Next steps

Azure is the best place for data analytics

With these technical innovations announced today, Azure continues to be the best cloud for analytics. Learn more why analytics in Azure is simply unmatched.

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Solving a common corporate conundrum: Making sense of all that data

Most companies today are collecting enormous amounts of data, and chances are they know that data contains crucial insights about everything from what customers want to purchase at 10 p.m. on Friday versus 7 a.m. on Wednesday to how they could run their businesses more efficiently any day of the week. What’s more, that data is all available in real time.

But too often companies can’t hear those signals, or they hear them too late.

“It would be an understatement to say we’re able to see just the tip of that iceberg. It’s more like we are analyzing a single ice cube out of that iceberg,” said Daniel Yu, director of product marketing, Azure data and artificial intelligence at Microsoft.

Part of the problem is that there’s so much data, and it’s so difficult to understand. Much of this valuable information is in what’s called unstructured or semi-structured data — generated from customer interactions on the web, software as a service apps, social media, mobile apps or IoT devices such as connected refrigerators and intelligent assistants. It is then stored in the cloud, where many of the tools for analyzing it are still maturing.

Yu said that’s left companies feeling they have two choices: They can either have powerful systems that can do really sophisticated analysis but require them to know exactly what their needs are upfront, or they can opt for more flexible systems that don’t give them as many choices for sophisticated analysis and are more time-consuming to manage .

“We think that’s a false choice,” Yu said. “You can have both power and flexibility in analytics, at a reasonable cost.”

Two women sit at a desk, chatting with a man standing next to them
From left, Lidia Rozhentsova , Sofia Iasonidou and Niklas Arbin of BookBeat discuss data analytics tools they have used to make sense of the overwhelming amounts of raw data they gather every day. Photo by Alexander Donka for Microsoft.

On Thursday, Microsoft announced that its customer offerings are getting an upgrade, with the general availability of Azure Data Explorer (ADX) and Azure Data Lake Storage (ADLS).

Microsoft says its Azure-based cloud analytics platform delivers the industry’s best price-performance ratio, a standard that measures the speed of a system against its hourly cost. According to independent testing by GigaOM, analytics with Azure SQL Data Warehouse is up to 14 times faster and costs 94 percent less than other cloud analytics offerings.

Microsoft said ADX can analyze 1 billion records of streaming data per second, using simple query language, while leaving the data and its metadata in its original state. ADLS provides a repository for storing massive amounts of structured or unstructured data, with the efficiency and security features of Azure Blob Storage. This combination is optimized for analytics.

That’s exactly the kind of offering the company says everyone from small startups to big established businesses need.

A good example is BookBeat, a European-based streaming audiobook service that runs its business on the Azure platform. The company uses data analytics to serve customers crisp recommendations based on their own reading history and those of customers with similar interests. It also relies on data to launch new business models, like a shared family account that it rolled out after its data predicted, correctly, that it would succeed.

“All our teams are data-driven,” said Niklas Arbin, head of developers at BookBeat. “We use it for everything.”

Arbin said that, with Azure managing its server infrastructure, BookBeat’s technical specialists are free to work on other essential tasks. That includes mining the data to deliver real insight and value and building internal tools for managing the vast streams of books it offers.

“Azure enables us to use the highest standards in application development, which has been very hard to do in any business intelligence toolset,” Arbin said. “It gives our developers freedom to choose the best tool for the job.”

A desktop with a collection of books neatly stacked against the cubicle wall
Many of the desks at BookBeat’s offices in Stockholm, Sweden, are loaded with analog books as well. Photo by Alexander Donka for Microsoft.

The company doesn’t even have a traditional IT department.

“We don’t have to worry about things like uptime for servers,” Arbin said. “We don’t like working in the middle of the night.”

To John Chirapurath, general manager of Azure data, Blockchain and AI at Microsoft, that sounds like success. He said Microsoft’s goal is to remove complexity for customers wherever possible, from ingesting data to presenting it.

“We always strive to make it very easy for IT staff to adopt analytics and for line of business people to utilize and deliver powerful insights using beautiful products,” Chirapurath said.

Microsoft says another selling point for customers is the company’s long history of securing its Azure cloud, which includes helping customers conform to privacy standards and regulation such as the General Data Protection Regulation, or GDPR.

To Yu, the ongoing advances in cloud analytics technology, and the relentless flow of useful data, are bringing customers to a tipping point. For many, he said it’s no longer going to make sense to host all that data on premises, and devote so many resources to managing those resources, when there are so much more interesting analytics that can be done in the cloud.

“Data and analytics are changing everything for businesses,” Yu said. “There’s not a single company that isn’t thinking about this.”

Related:

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Microsoft for Healthcare: technology and collaboration for better experiences, insights and care

The healthcare industry’s leading minds are getting ready to educate, intrigue, and inspire attendees next week at the HIMSS19 conference—a leading healthcare IT event in the US. We expect to see many innovative ideas and solutions to the most prevalent and persistent challenges in modern health, and we are excited to show new technologies making a real difference in people’s lives and demonstrate Microsoft’s commitment to transforming how healthcare is experienced and delivered.

Over the last few years, we have been learning alongside industry experts and making steady progress in helping health organizations navigate complex technology transformations. We have been so pleased by the enthusiastic response of the providers, payors, software developers, device manufacturers and pharmaceutical companies we’ve been working with.

But what drives us most is the profound impact on people. As we all look for more personalized and transparent approaches for healthcare services, technology transformation will help providers deliver modern patient experiences that promote patient engagement, satisfaction, and well-being while increasing the chances of more successful treatment.

This year at HIMSS, we will talk about how Microsoft’s technology and partnerships are helping empower care teams, improve clinical and operational outcomes and advance precision healthcare, with a specific focus on putting people’s privacy at the center. To kick things off, today we’re announcing several new innovations supporting the industry’s transformation:

  • Microsoft 365 for health organizations: New capabilities in Microsoft Teams that enable healthcare teams to communicate and collaborate in a secure hub for teamwork, and ultimately improve patient care.
  • Microsoft Healthcare Bot: Now generally available, this service helps organizations create AI-powered, compliant virtual assistants and chatbots for a variety of healthcare experiences.
  • Azure API for FHIR®: A new tool to help health systems interoperate and share data in the cloud.

Empowering health organizations with secure messaging and AI-powered tools

People are at the heart of healthcare – physicians, nurses, clinicians and of course, their patients. We are committed to empowering care teams with the tools they need to deliver their best care as well as empowering people as they interact with various aspects of the healthcare system.

When it comes to secure communications, many clinicians report having to choose between convenience and compliance. Adhering to compliance has often meant having to wait for critical information at the point of care. Conversely, many clinicians have turned to consumer messaging apps that facilitate communication but can compromise security.

Microsoft is working hard to ensure convenience and compliance are no longer a zero-sum equation. Today, we are announcing new capabilities in Microsoft Teams, a secure hub for teamwork that enables secure messaging and collaboration workflows that tap the wealth of patient information housed in electronic medical records.

Enable secure workflows in Microsoft Teams: The new priority notifications feature in Teams alerts a recipient of an urgent message on their mobile and desktop devices until a response is received, every two minutes for up to 20 minutes; message delegation enables clinical staff members to delegate their messages to another recipient when they are in surgery or otherwise unavailable. We are also announcing the ability to integrate FHIR-enabled electronic health records (EHR) data with Teams. The ability to view EHR data is enabled through partnerships with leading interoperability providers, including Dapasoft, Datica, Infor Cloverleaf, Kno2 and Redox. Clinical or hospital staff can securely access patient records in the same app where they can take notes, message with other team members, and start a video meeting, all in a single place to coordinate care.

For health organizations looking to optimize operational processes or create new experiences for their people and patients, we are also announcing the Microsoft Healthcare Bot general availability.

Microsoft Healthcare Bot: The Microsoft Healthcare Bot service is now generally available after first being introduced as a research project in 2017. It is designed to empower healthcare organizations to build and deploy compliant, AI-powered virtual health assistants and chatbots, and includes important features like healthcare intelligence, medical content and terminology, and a built-in symptom checker. The Microsoft Healthcare Bot service is fully extensible to help organizations adjust the bot to solve their own business problems, and can connect to health systems, like EHRs. In addition to partners like Premera, today we are announcing bots available, or available soon, from Quest Diagnostics, Children’s Healthcare of Atlanta and Clalit Health Services.

Securely connecting data for better clinical and operational outcomes

Our bodies are a lot like complex computers, and each interaction with today’s health system creates a new data point. These data points are often spread across multiple records, with valuable insights somewhat hidden in siloes. Microsoft is committed to helping address this opportunity by developing technology that connects data and surfaces important insights at exactly the right time, with privacy and security at the core.

A better-connected healthcare system would provide clinicians with more complete profiles of their patients, researchers with more complete data to study, and individuals with more information to take ownership over their health. I hear this often from leading experts in the research and care delivery communities.

With this in mind, today we’re announcing the Azure API for FHIR, a tool to help health organizations better connect systems and harness the power of data in the cloud.

Azure API for FHIR: The Azure API for FHIR will provide a method for health systems and data to ‘talk’ – what is known as interoperability – so for example, health records can connect to collaboration tools, pharmacy systems, fitness devices and others far more seamlessly. Data and insights from this more connected system can then be served up when and where they’re needed most.

API is a term for technology that links software programs together. Similar to electrical outlets and plugs, APIs can most easily be compared to the adapters you need to use electronics while traveling in foreign countries. Though technical, its functionality is important to everyone who interacts with today’s healthcare systems, as interoperability is a foundational health technology need.

The Azure API for FHIR is available in public preview, and we have more than 25 technology partners in our early access program that can help health organizations build FHIR-enabled services today.

Advancing precision healthcare

Some of the most exciting breakthroughs at the intersection of science and technology are in precision healthcare. We all stand to gain from a health system that can precisely care for us based on our unique biology, environments and ailments. Cloud and advanced AI are the key tools that will help achieve that future.

To advance precision care, Microsoft continues to invest in a series of services and computational biology projects, including research support tools for next-generation precision healthcare, genomics, immunomics, CRISPR and cellular and molecular biologics.

For example, Microsoft Genomics, which provides accelerated sequencing and secondary analysis, enables research insights for organizations like St. Jude Children’s Research Hospital with the St. Jude Cloud, the world’s largest public repository of pediatric cancer genomics data.

Earlier this year, we published an update on our partnership with Adaptive Biotechnologies, announcing we’ve opened up our joint research to immunosequence 25,000 individuals, targeting ovarian cancer, pancreatic cancer, celiac disease, type 1 diabetes and Lyme disease.

Work also continues on several Microsoft Research projects, including intelligent scribe Project EmpowerMD, medical imaging Project InnerEye, machine reading Project Hanover and metagenomics Project Premonition. These projects are pushing the boundaries of how technology can be applied in healthcare and we are excited to see how they might be used by health organizations in the future.

Working with the experts

Improving healthcare is not a singular or silver bullet effort. Microsoft’s ambition is not to be a healthcare provider, but to enable and empower those who are doing good things for people around the world. We see strategic alliances with leaders like Walgreens Boots Alliance, Allscripts, Hill-Rom, Novarad and others leading the way, with support from our thousands of technology partners. Here are a few examples:

  • Walgreens Boots Alliance: Walgreens Boots Alliance (WBA) and Microsoft announced a strategic partnership aimed at transforming health care delivery. Our companies will combine the power of Microsoft’s cloud and AI technologies, health care investments, and retail solutions with WBA’s customer reach, convenient locations, outpatient health care services, and industry expertise with the goal of making health care delivery more personal, affordable and accessible for people around the world.
  • Veradigm: Veradigm, an Allscripts company, and Microsoft announced a collaboration focused on implementing an innovative, integrated model for clinical research, aiming to enhance clinical research design, conduct studies more efficiently and improve the research provider and participant experience.
  • Hill-Rom: Hill-Rom and Microsoft announced a collaboration to bring advanced, actionable point-of-care data and solutions to caregivers and healthcare provider organizations. Our collaboration will combine Hill-Rom’s deep clinical knowledge and streaming operational data from medical devices with Microsoft’s cloud, IoT and AI technologies to help drive enhanced patient outcomes.
  • Novarad: Novarad, a healthcare enterprise imaging company, recently obtained 510(k) clearance from the FDA for the OpenSight Augmented Reality System for Microsoft HoloLens. OpenSight received pre-operative clearance for augmented reality usage in surgical planning, giving physicians access to a new solution that can improve surgical procedures by enhancing accuracy and shortening operative times.
  • ThoughtWire: ThoughtWire, is helping save lives with its EarlyWarning application, designed to preempt and prevent patients from suffering cardiac arrest in hospitals. This solution has already reduced code blue calls, which signals a risk of cardiac arrest, by 61 percent at Hamilton Health Sciences, a medical group of seven hospitals and a cancer center. ThoughtWire will deliver the EarlyWarning app, running on Microsoft Azure, to health systems at scale.
  • Innovaccer: Innovaccer is a healthcare data activation platform company working towards solving data interoperability challenges in healthcare and helping health systems enhance their clinical and financial outcomes with a data-first approach. Innovaccer is a portfolio company of M12, Microsoft’s venture fund.

The future is bright – a more connected future to deliver better experiences, insights and care. We are looking forward to meeting many of you next week at HIMSS19 and sharing more about what we are working on. Please be sure to stop by our booth No. 2500 to see our solutions in action, and follow our HIMSS19 story on @Health_IT to learn more.

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New bot service helps organizations develop and deploy virtual health assistants

Every year, tens of millions of adults in the U.S. are asked to contact Quest Diagnostics for healthcare-related services that range from routine blood work to complex genetic and molecular testing. In today’s increasingly self-service healthcare industry, details such as where to go when and what to do beforehand are typically up to patients to figure out for themselves.

“They are really learning how to drive their healthcare experience and they have a lot of questions,” said Jason O’Meara, senior director of architecture for Quest Diagnostics in Cary, North Carolina. “To find answers to their questions,” he added, “many people don’t want to browse websites anymore if they can get to their answer more directly using a bot.”

Quest Diagnostics recently built and deployed a bot using a preview of the Microsoft Healthcare Bot service that helps people who visit the Quest Diagnostics website during call center hours find testing locations, schedule appointments and get answers to non-medical questions such as whether to fast before a blood draw or when to expect results. If the bot is unable to answer a question, or the user gets frustrated, the bot will transfer the user, along with the context of the conversation, to a person who can help – all without having the user pick up the phone.

Microsoft announced Thursday that the Microsoft Healthcare Bot service is now generally available in the Azure Marketplace. The cloud service includes out-of-the-box healthcare intelligence such as the ability to triage complex medical questions and a set of prebuilt services including the handoff feature and a symptom checker. Customers can extend and customize the bot to solve their unique business problems. Built-in privacy controls include the ability for bots to learn and adapt to user preferences and for users to ask bots what they know about them and to ask to be forgotten.

“You don’t have to start from scratch,” said Hadas Bitran, head of Microsoft Healthcare Israel. “It has healthcare content knowledge such as a symptom checker and information about conditions, medications and procedures. It has language models trained to understand healthcare terminology. It understands if you are complaining or if you are asking about what doctor you should see or if you are thinking about side effects of a medication.”

Virtual assistant for healthcare

Bitran, who worked on Microsoft’s virtual assistant Cortana prior to joining the health group, and her team, launched the Healthcare Bot service as a research project in 2017 to determine the feasibility of a toolbox that would allow healthcare organizations to quickly and efficiently build virtual assistants tuned to their brands, along with the workflows and terminology unique to the healthcare industry.

“We were asking ourselves, ‘What are the biggest pain points of healthcare customers? How can we best help self-serve healthcare users? What would be the use cases that would be most interesting for customers,’” Bitran said.

Premera Blue Cross, a customer who used the service during the private preview stage of the project, built and deployed a bot, Premera Scout, to help consumers easily look up the status of claims and find answers to questions about benefits and services available from the health insurance provider.

“People didn’t need to call the call center and wait on the line anymore,” Bitran said. In turn, she added, customer-service employees at Premera Blue Cross now have more time to focus on complicated requests.

Building compliant health assistants

The Microsoft research and development team also knew that any bot service for the healthcare industry would need to leverage a secure cloud platform with built-in privacy controls and tools to support the user’s compliance with regulations such as the Health Insurance Portability and Accountability Act, known as HIPAA, and the General Data Protection Regulation, or GDPR.

The compliance support helps the healthcare industry keep pace with a larger trend of companies deploying conversational AI as a go-to interface for consumers to seek and find information. Quest Diagnostics, for example, found in a user-experience survey that about 50 percent of their clients would prefer to engage with a chatbot instead of a search box or frequently-asked-questions feature on a website, said O’Meara.

The Microsoft Healthcare Bot service enables organizations in the healthcare industry to meet the demand for bots that provide timely information, freeing up medical professionals to treat and care for their patients, noted Bitran.

“Virtual assistants will never replace medical professionals,” she said, adding that bots built with the Microsoft Healthcare Bot service never make a diagnosis or offer treatment. “That is not what they are for. Rather, virtual assistants help ease the burden from the healthcare system, helping medical professionals optimize their time.”

Related:

John Roach writes about Microsoft research and innovation. Follow him on Twitter.

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Microsoft Translator now certified compliant to meet your needs

Microsoft Translator is happy to announce that it is now certified for ISO, HIPAA, and SOC compliance. This comes as a result of Azure’s commitment to privacy and security.

Last year, Translator announced that it was GDPR compliant as a data processor. Now, Microsoft Translator is ISO, HIPAA, and SOC compliant, in addition to receiving CSA and FedRAMP public cloud attestation.

ISO: Microsoft Translator is ISO certified with five certifications applicable to the service. The International Organization for Standardization (ISO) is an independent nongovernmental organization and the world’s largest developer of voluntary international standards. Translator’s ISO certifications demonstrate its commitment to providing a consistent and secure service. Microsoft Translator’s ISO certifications are:

  • ISO 27001 Information Security Management Standards
  • ISO 9001:2015 Quality Management Systems Standards
  • 27018:2014 Code of Practice for Protecting Personal Data in the Cloud
  • 20000-1:2011: Information Technology Service Management
  • ISO 27017:2015: Code of Practice for Information Security Controls

HIPAA: The Microsoft Translator service complies with the US Health Insurance Portability and Accountability Act (HIPAA) Health Information Technology for Economic and the Clinical Health (HITECH) Act, which govern how cloud services can handle personal health information. This ensures that the health services can provide translations to clients knowing that personal data is kept private. Microsoft Translator is included in Microsoft’s HIPAA Business Associate Agreement (BAA). Health care organizations can enter into the BAA with Microsoft to detail each party’s role in regard to security and privacy provisions under HIPAA and HITECH.

Learn more about HIPAA compliance

 

SOC: The American Institute of Certified Public Accountants (AICPA) developed the Service Organization Controls (SOC) framework, a standard for controls that safeguard the confidentiality and privacy of information stored and processed in the cloud, primarily in regard to financial statements. Microsoft Translator is now SOC type 1, 2, and 3 compliant.

Learn more about SOC Compliance

 

CSA STAR: The Cloud Security Alliance (CSA) defines best practices to help ensure a more secure cloud computing environment, and to helping potential cloud customers make informed decisions when transitioning their IT operations to the cloud. The CSA published a suite of tools to assess cloud IT operations: the CSA Governance, Risk Management, and Compliance (GRC) Stack. It was designed to help cloud customers assess how cloud service providers follow industry best practices and standards, and comply with regulations. Microsoft Translator has received CSA STAR Attestation.

Learn more about CSA STAR

 

FedRAMP: The US Federal Risk and Authorization Management Program (FedRAMP) attests that Microsoft Translator adheres to the security requirements needed for use by US government agencies in the public Azure cloud. The US Office of Management and Budget requires all executive federal agencies to use FedRAMP to validate the security of cloud services. FedRAMP attestation for Microsoft Translator in the dedicated Azure Government cloud is forthcoming.

Learn more about FedRAMP

The Microsoft Translator service is subject to annual audits on all of its certifications to ensure the service continues to be compliant. View more information about Microsoft’s commitment to compliance in the Microsoft Trust Center

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Podcast: Putting the ‘human’ in human computer interaction with Haiyan Zhang

haiyan zhang standing in front of a wall

Haiyan Zhang, Innovation Director

Episode 62, February 6, 2019

Haiyan Zhang is a designer, technologist and maker of things (really cool technical things) who currently holds the unusual title of Innovation Director at the Microsoft Research lab in Cambridge, England. There, she applies her unusual skillset to a wide range of unusual solutions to real-life problems, many of which draw on novel applications of gaming technology in serious areas like healthcare.

On today’s podcast, Haiyan talks about her unique “brain hack” approach to the human-centered design process, and discusses a wide range of projects, from the connected play experience of Zanzibar, to Fizzyo, which turns laborious breathing exercises for children with cystic fibrosis into a video game, to Project Emma, an application of haptic vibration technology that, somewhat curiously, offsets the effects of tremors caused by Parkinson’s disease.

Related:


Episode Transcript

Haiyan Zhang: We started out going very broad, and looking at lots of different solutions out there, not necessarily just for tremor, but across the spectrum to address different symptoms of Parkinson’s disease. And this is actually really part of this whole design thinking methodology which is to look at analogous experiences. So, taking your core problem and then looking at adjacent spaces where there might be solutions in a completely different area that can inform upon the challenge that you are tackling.

Host: You’re listening to the Microsoft Research Podcast, a show that brings you closer to the cutting-edge of technology research and the scientists behind it. I’m your host, Gretchen Huizinga.

Host: Haiyan Zhang is a designer, technologist and maker of things (really cool technical things) who currently holds the unusual title of Innovation Director at the Microsoft Research lab in Cambridge, England. There, she applies her unusual skillset to a wide range of unusual solutions to real-life problems, many of which draw on novel applications of gaming technology in serious areas like healthcare.

On today’s podcast, Haiyan talks about her unique “brain hack” approach to the human-centered design process, and discusses a wide range of projects, from the connected play experience of Zanzibar, to Fizzyo, which turns laborious breathing exercises for children with cystic fibrosis into a video game, to Project Emma, an application of haptic vibration technology that, somewhat curiously, offsets the effects of tremors caused by Parkinson’s disease. That and much more on this episode of the Microsoft Research Podcast.

(music plays)

Host: Haiyan Zhang, welcome to the podcast.

Haiyan Zhang: Hi, thanks Gretchen. Great to be here.

Host: You are the Innovation Director at MSR Cambridge in England, which is a super interesting title. What is an Innovation Director? What does an Innovation Director do? What gets an Innovation Director up in the morning?

Haiyan Zhang: I guess it is quite an unusual title. It’s a kind of a bespoke role, I would say, because of my quite unusual background, I guess. Part of what I do is look at how technology can be applied in real use cases in the world to create business impact, within Microsoft and outside of Microsoft, and to make those connections between our deeply technical research with applied product groups across the company.

Host: So, is this a job that existed at MSR in Cambridge or did you arrive with this unique set of talents and skills and background and ability, and bring the job with you?

Haiyan Zhang: I would say it’s something I brought with me and it’s evolving over time. (laughs)

Host: Well, unpack that a little bit. How has it evolved since you began? When did you begin?

Haiyan Zhang: So, I actually joined Microsoft about five and a half years ago and I actually initially joined as part of the Xbox organization, running an innovation team in Xbox in London and looking at new play experiences for kids, for teens, that were completely outside of the box. And then from that, I transitioned into Microsoft Research. And part of my team also continued on that research in terms of creating completely new technology experiences around entertainment. And more recently, I’m working across the lab with various projects to see how we can connect our sort of fundamental computer science work better with products across Microsoft in terms of Azure cloud infrastructure, in terms of Xbox and gaming, in terms of Office and productivity.

Host: You’ve been in high-tech for nearly twenty years and you’ve worked in engineering and user experience and research… R&D, hardware, service design, etc., and even out in the “blue-sky envisioning space.” So, that brings a lot to the party in the form of one person. (laughter) Quite frankly, I’m impressed. How has your experience in each, or all, of these areas informed how you approached the research you do today?

Haiyan Zhang: Well thanks, Gretchen. I’m really… I’m quite honored to be on the podcast actually because I’m so impressed with all the researchers that you’ve been interviewing across all the MSR labs. So, I would say that, in the research work that I do, I bring a very human-centered lens to looking at technology. So I undertake a full, human-centered design process starting from talking to people, getting empathy with people, trying to extract insight from what people really need and then going deeply into the technical research to develop prototypes, technology ideas to support those needs, and then deploying those prototypes in the field to understand how that can be improved and how we can evolve our technology thinking.

Host: Let’s talk about design thinking, then, for a minute. I don’t know if you’d call it discrete from computational thinking or any other kind of thinking, but it seems to be a buzz phrase right now. So, as a self-described designer, technologist and maker of things, how would you define design thinking?

Haiyan Zhang: So, I would say that design thinking is not separate from computational thinking, it’s a layer above. It’s just an approach to problem-solving, and it’s basically a tool kit that allows you to utilize different methods to really gain an understanding of people’s needs, to gain an understanding of insight into how people’s lives can be improved through technology, and then tools around prototyping and evaluating those prototypes. So, I would say that it is not, in itself, a scientific method, but it can be used to improve and augment your existing practice.

Host: Let’s get specific now and talk about some of those projects that you’ve been working on, starting with Project Zanzibar. What was the inspiration behind this project? How did you bring it to life and how does it embody your idea of connected play experiences that you’ve talked about?

Haiyan Zhang: I think there is a rich history in computer science of tangible user interfaces. You know, some of the early work at Xerox Park even or at the MIT Media Lab around how we can create these seamless interactions between people, between their physical environment and between a digital universe. And I think the approach we had to Zanzibar was that the most fruitful area for exploration in tangible user interfaces would be to enable kids to play and learn though physicality. Through interacting with physical objects that were augmented with virtual information, because we’re really trying to tap into this idea of multi-modal learning and learning through play. So, just coming from this initial approach, we dive very deeply into how would we invent a completely new technology platform to enable people to very seamlessly manipulate objects in a natural way using gestures, and then bring about some new digital experiences layered on top of that, that were games or education scenarios and then sort of bringing those together in terms of really fundamental technology invention, but also applications that could demonstrate what that technology could do.

Host: Right. Well, and it’s too bad that this is an audio-only experience here on the podcast because there’s a really cool overview of this project on the Microsoft Research website and it’s a very visual, artifact-based approach to playing with computers.

Haiyan Zhang: Yeah, yeah. And I encourage everyone to visit the project page and take a look at some of the videos and our prototypes that we have published.

Host: Right. So, what was the thinking behind tying in the artifact and the digital?

Haiyan Zhang: You know, there’s this rich history of research with physical objects and we’ve proven out that physical/digital interaction is a great way forward in terms of novel interactions between people and computing. But the pragmatics of these systems have not been ideal. You know, if you have to be sat at your desk and there has to be an overhead camera, usually a lot of research projects involve this or there’s occlusion in terms of where your hand can be and where the physical objects can be because the cameras won’t be able to track it. So, what we set out to do was think about well, how would you design a technology platform that overcomes a lot of these barriers to these platforms so that we can then be freed up to think about those scenarios, but we can also empower other researchers who are doing research in this space to think about those scenarios. So, our research group, we had to this idea of leveraging NFC, but leveraging it in terms of an NFC antenna array so that we could track objects in a 2-D space. And then the additional novelty was also layering that with a capacitive multi-touch layer so that we could track both the objects in terms of the physical IDs of the objects on top of this surface area. The capacitor’s multi-touch would enhance that tracking that the NFC provided, but also, we could track hand gestures, both in terms of multi-touch gestures on top of the surface and also some hover gestures just above the surface as well.

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Host: Let’s talk a bit about another really cool project that you’re working on. I know Cambridge, your lab, is deeply, and maybe even uniquely, invested in researching and developing technologies to improve healthcare, and you have a couple projects going on in this area. One of them, Project Fizzyo. I’ll spell it. It’s F (as in Frank)-i-z-z-y-o. Tell us about this project. How did it come about? What’s the technology behind it and how does it work?

Haiyan Zhang: So, Fizzyo really started as a collaboration with the BBC and we were inspired by one family. The mom, Vicky, she has four kids and two of her boys have cystic fibrosis, they have a genetic condition where their internal organs are constantly secreting mucous. And so, every day, twice a day, the boys have to do this laborious breathing exercise to expel the mucous from their lungs, and it involves breathing into these plastic apparatus. And they basically apply pressure to your breath so that when you breathe, it creates and oscillating effect in your lungs and escalates the mucous and then it culminates in you coughing and trying to cough out the mucous from your lungs. They’re usually plastic devices, where as you blow, the air kind of enters a chamber and there might be some sort of mechanism that oscillates the air like a ball-bearing that bounces up and down and so they are very low-fi, so there’s no digital aspect to these devices. And you can imagine, these kids, they are having to do these exercises from a very early age, from as early as they can remember, twice a day for 30 minutes, for an hour at a time. It’s really intensive and it can be, you know, if not painful, at least really uncomfortable to do. And I actually tried to do this once and I felt really light-headed. I actually couldn’t do one session of it. And also, the kids, they want to be outside playing with their friends. You know, they don’t want to be stuck indoors doing this all the time. And there is no thread from doing the exercise and feeling an improvement because the activity is about maintenance, so you are trying to maintain your health because if you don’t clear the mucous from your lungs, infection can set in and that means going to the hospital, that means getting antibiotics. And so, it’s a very challenging thing for Vicky, their mom, to be jostling them, be harassing them to do this all the time. And she said that her role has really changed with her kids and that she’s no longer a mom, she’s sort of nagging them all the time. And so, we visited with the family to really understand their plight. And she asked, you know, can we create a piece of technology that can help us in getting the kids to do this kind of physio, the treatment is a type of physio. And so, we actually came up with this idea together where she said, you know, the boys really love to play video games so, what if we could create a way for the boys to be playing a video game as they are undertaking this exercise. So, we started this process of prototyping and developing a digital attachment, a sensor, that attaches to all these various different physio devices. And as the patient is expelling, is breathing out, the sensor actually senses the breath and transmits that digital signal to a tablet and we can translate that signal into controls for a video game. And we’re also able to upload that to the cloud, to do further analysis on that medical treatment.

Host: Wow. How is it working?

Haiyan Zhang: We started this project about two and a half years ago. It’s been a long process, but a really fruitful and rewarding one. So, we started out with just some early prototypes, just using off-the-shelf electronics to get the breath sensor working just right. We added a single button, because we realized if you were just using the breath to play video games, it’s actually really challenging. And then, within the team, our industrial designer, Greg Saul, designed the physical attachment. We developed our own sensor board and we had it manufactured along with the product design. And we partnered with University College London, their physiotherapy department, and the Great Ormond Street Hospital in London where they’ve deployed over a hundred of these units with kids across the country to do a long-term trial. So actually, when we first met with the University College London physiotherapy department, I mean, this is a department that they’ve spent their entire careers working with kids in this domain. And they had never had any contact with the computer science department. This was not a digital research area. When they first met us, and they saw, on the computer screen, someone breathing out, and a graph showing that breath, the peak of that breath, one of the heads of the department that we were working with, she started to cry because she said that in her entire career, she had never seen physio data visualized in this way. It was just incredible for her.

Host: Wow.

Haiyan Zhang: And so, we decided to partner, and they’ve been amazing because, through this journey, they’ve gone to meet people in the computer science department, they initiated masters’ degrees incorporating data science and digital understanding. They just hired their first data scientist in order to leverage the platform that we’ve built to do further analysis to improve the health of these kids. And they said that even though this kind of exercise has been around for decades, no one has actually done a definitive, long-term study to track the efficacy of this kind of exercise to health, to outcomes. You know, because I think past studies have really relied on keeping paper diaries, answering questionnaires, but no one has done that digital study, which is what the power of Internet of Things can really bring you, which is tracking in the background in a very precise way.

Host: Talk about the role of machine learning. How do any of the new methodologies in computer science like machine learning methods and techniques play into this?

Haiyan Zhang: You know, what’s really interesting with machine learning is the availability of data. And, you know, we understand that what has driven this AI revolution is now the availability of large data sets to actually be able to develop new ML algorithms and models. And in many cases, especially in healthcare, there is the lack of data. So, I think throughout different areas of computer science research, there’s a real need to kind of connect the dots and actually develop IoT solutions that can start at the beginning and capture the data, because it’s only through cleverly capturing valid data, that we can then do the machine learning in the back end once we’ve done the data collection. And so, I think the Fizzyo project is a really good proof point of that in that we started out with IoT in order to gather the information that track the health exercises. And we just sort of deployed in the UK, so as we’re collected this data, we’re now able to look at that and start to do some predictions around long-term health. So, you know, some of the questions that physiotherapy researchers are trying to answer, if kids are very adherent to this kind of exercise, if they are doing what they are being told, they are doing this this twice a day for the duration that they are supposed to be doing it, does that mean, in six months’ time or a year’s time, their number of days in hospital is going to be reduced? Does it actually impact how much time they are spending being ill? If we see a trailing-off of this exercise, does that mean that we’ll see an increase in infection rates? So, with the data that we’re collecting, we’re now working with a different part of Microsoft, they’re called the Microsoft Commercial Software Engineering team, who are actively delving into projects around AI for good and they are going to be working with UCL to do some of this clustering and developing models around health prediction. So, clustering the patients into different cohorts to understand if there is prediction factors around how they are doing the exercises and how much time they are going to be spending in hospital in the years to come.

Host: Well, it almost would be hard for me to get more excited about something than what you just described in Project Fizzyo, but there is another project to talk about which is Project Emma. This is so cool it’s even been featured on a documentary series there in the UK called The Big Life Fix. And it didn’t just start with a specific idea, but with a specific person. Tell us the story of Emma.

Haiyan Zhang: Yes! So, again, Project Emma started with a single person, with Emma Lawton, who, when she was 28 years old, she was diagnosed with early onset Parkinson’s disease. And, it had been five years since her diagnosis and some of her symptoms had progressed quite quickly and one of them was an active tremor. So, her tremor would get worse as she started to write or draw. And this really affected how she went about her day-to-day work because she was a creative director, a graphic designer and day-to-day she would be in client meetings, talking with people and trying to sketch out what they meant in terms of the ideas that they had. And she would not be able to do that. And when I first met with her, she would sit with a colleague and her colleague would actually draw on her behalf. So, she really was looking for some kind of technology intervention to help her. And, we started out going very broad, and looking at lots of different solutions out there, not necessarily just for tremor, but across the spectrum to address different symptoms of Parkinson’s disease. And this is actually really part of this whole design thinking methodology which is to look at analogous experiences. So, taking your core problem and then looking at adjacent spaces where there might be solutions in a completely different area that can inform upon the challenge that you are tackling. So, we looked at lots of different solutions for other kinds of symptoms and of course, there was a lot of desk research. It was reading research papers that had been published over the decades that looked at tremors specifically. So, I think the two aspects that really influenced our thinking, one was around going to visit with a local charity called Parkinson’s UK and we were asking them to show us their catalogue of widgets and devices that they sold to Parkinson’s patients that helped them in their every day. And on the table, there was a digital metronome. So, you know, when you’re playing the piano you see musicians, they have this ticking metronome. And I asked, you know, so why is there a metronome on the table? And the lady said, well, for some Parkinson’s patients, they have a symptom called freezing of gait and this is where when you are walking along, your legs suddenly freeze, and you lose control of your legs. And so, sometimes people find that if they take out this metronome and they turn it on and it makes this rhythmic ticking sound, it somehow distracts their brain into being able to walk again, which is really kind of odd. There’s been a little bit of literature around this. In the literature it’s called queuing, it’s a queuing effect, but it doesn’t apply to tremor. But, for me, it sort of signaled an interesting brain hack, and signaled kind of underlying what might be going on in your brain when you have Parkinson’s disease. At the same time, there had been a number of papers around using vibration on the muscles to try to ameliorate tremor, to try to address it, to various effect. And not specifically looking at Parkinson’s but looking at other kinds of tremor diseases like central tremor, dystonia. And so, we developed a hypothesis and in order to test out the hypothesis, we developed a prototype which was a wearable device for the wrist that had a number of vibrating motors on it. So, it would apply vibration to the wrist in a rhythmic fashion in order to somehow circumvent the mechanism that was causing the tremor. And of course, we had a number of other hypotheses, too. This was not the only hypothesis. We had other devices that worked in a completely different way that was more about mechanically stopping the tremor, mechanically countering the tremor. And this device actually worked really well. So, we were surprised, but very, very happy, and so this is the direction that we took in order to further develop this product.

Host: Right. So, drilling in, I do want to mention that there is a video on this, on the website as well. It’s a video that made me cry. I think it made you cry, and it made Emma cry. We’re all just puddles of tears, because it’s so fantastic. And so, this kind of circles back to research writ large, and experimenting with ideas that may not necessarily be super, what we would call high-tech, maybe they are kind of low-fi, you know, a vibration tool that can keep you from shaking. So, how did it play out? How did you prototype this? Give us a little overview of your process.

Haiyan Zhang: For us, it was a very simple prototyping exercise. We took some off-the-shelf coin cell motors and developed, basically, a haptic type bracelet that we then had an app that you could program the haptics on the bracelet. And that’s what we sort of experimented with. So, just research from the haptics area of computer science research which is really about a mechanism for sort of using in VR or sensing something about the digital world, now applied to this medical domain.

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Host: You have a diverse slate of projects going on at any given time and your teams are really diverse. So, I want you to talk, specifically, about the composition of skills and expertise that are required to bring some of these really fascinating research projects to life, and ultimately to market. Who is on your team and what do they bring to the party?

Haiyan Zhang: Well, I think there’s just something really unique about Microsoft Research and Microsoft Research Cambridge, in particular, we have such a broad portfolio of projects, but also expertise in the different computer science fields, that we can sort of pull together these multidisciplinary teams to go after a single topic. So, within our lab we have social scientists doing user research, gaining real insight into how people behave, how people think about various technologies. We have designers that are exploring user interfaces, exploring products to bring these ideas to life. We have, you know, computer vision specialists. We have machine learning specialists. We have natural language processing people, systems researchers, and securities researchers and, obviously, healthcare researchers. So, it’s that broad outlook that I think can really push forward in terms of technology innovation and really emphasizing the applications for people, for improving society as a whole.

Host: I ask all my guests some form of the question is there anything that keeps you up at night. And I know that many people, mainly parents, are worried that their kids are too engaged with screens or not spending enough time in real life and so on. What would you say to them, and is there anything that keeps you up at night about sort of the broader swath of what you are working on?

Haiyan Zhang: You know, on the topic of screen time, obviously it’s something that we really wrestled with Zanzibar research specifically which is thinking about how you could interact with physical objects instead of a digital screen, and also bringing that kind of bigger interaction surface between family and between friends so they could interact together. You know, at the same time, I would say that culture is constantly changing and how we live our lives is constantly changing. We’ve only seen the internet be really embedded in our lives in the last, I’d say, twenty years, fifteen years, twenty years. When I think we were younger, we had television and there were no computers and so, I say culture is constantly evolving. How we’re growing, how we’re living is constantly evolving. It’s important for parents to evaluate this changing landscape of technology and to figure out what is the best thing to do with their kids. And maybe you don’t have to rely on how you grew up, but to kind of evaluate that our kids are getting the right kind of social interaction, getting the right amount of parental support and quality time with their family. I think that’s what is important, but to accept that how we’re growing is changing.

Host: What about the idea of the internet of things and privacy when we’re talking about toys and kids?

Haiyan Zhang: Mmm, yeah, it is something we really have to watch out for, and um you know, we’ve seen some bad examples of the toy industry jumping ahead too far and enabling toys to be connected 24/7 and conversing with kids and what does that really mean? I’ve seen some really great research out of the MIT Media Lab where there was a researcher really looking at how kids are conversing with AI, with different AI agents and their mental model of these AI agents. So, I think that’s a really great piece of research to look at, but also maybe to expand upon. As a research community, if we’re thinking about kids, to understand that how kids are interacting with AI is going to be more commonplace, and rather than trying to avoid it, to really tackle it head-on and see how we can improve the principles around designing AI, how we can inform companies in the market out there of what is the ethical approach to doing this so that kids really understand what AI is as they are growing up with it.

Host: We’re coming up on an event at Microsoft Research called I Chose STEM and it’s all about encouraging women to… well, choose STEM! As an area of study or a career.

Haiyan Zhang: Yeah.

Host: So, tell us the story of how you chose it? What got you interested in a career in high-tech in general, and maybe even high-tech research specifically? Who were your influences?

Haiyan Zhang: I have a I guess slightly unique background in that I was born in China and at the time it was very kind of Communist education that I had when I was growing up. And my family moved to Australia when I was 8 years old. And I was always very technical and very nerdy. But I never thought about technology as a career. I actually wanted to study law when I was in high school. And computing was just something where I was sort of, you know, it was kind of fun, but I never thought about it as a career. And I’d say in the last sort of year of high school, I decided to switch and do computer science and I realized that I was actually really good at computer science. I guess what led me to choose STEM is just the – I think the fun and creativity you can have with programming. You know, I would always come up with my own little creative exercises to write on the computer. It wasn’t the rote exercises, it was the ability to kind of be creative with this technical tool that really got me excited. I think at the same time, I love this huge effort within our industry to really focus on getting more women, more girls into technology, into STEM education, and we really want to increase representation, increase sort of equal representation. At the same time, I think I found it, at times, to be, you know, challenging to be the only woman in the room. You know, when I was in computer science, sometimes I’d be, you know, one of three women in the lecture theater or something. I think we need to adopt this kind of pioneer mindset so that we can go into these new areas, go into a room where you’re the only person, where you’re unique in that room and you have something to contribute and don’t be afraid to speak up. I think that’s a really important mindset and skill for anybody to have.

Host: No interview would be complete if I didn’t ask my guest to predict the future. No pressure, Haiyan. Seriously though, you are living on the cutting edge of technology research which is what this podcast is all about. And so what advice or encouragement – you’ve just kind of given some – would you give to any of our listeners across the board who might be interested or inspired by what you are doing? Who is a good fit for the research you do?

Haiyan Zhang: My advice would be, especially in the research domain, to develop that deep research expertise, but to keep a holistic outlook. I think the research landscape is changing in that we are going to be working in more multidisciplinary teams, working across departments. You know, sometimes it’s the healthcare department, the physiotherapy department, with the computer science department. It’s through the connection of these disparate fields that I think we’re going to see dramatic impact from technology. And I think for researchers to have that holistic outlook, to visit other departments, to understand what are the challenges beyond their own group, I think is really, really important. And develop collaboration skills and techniques.

Host: Haiyan Zhang, it’s been a delight. Thanks for joining us today.

Haiyan Zhang: Thanks so much, Gretchen. It’s been a real pleasure, thank you.

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Microsoft joins the OpenChain community to help drive open source compliance

A lot goes into making open source great – from licenses to code to community. A key part of doing open source right is being able to trust that the code you receive complies with its open source licenses. It’s a deceptively hard problem and one that Microsoft is working with the community to address.

The OpenChain Project plays an important role in increasing confidence around the open source code you receive. It does so by creating standards and training materials focused on how to run a quality open source compliance program, which in turn builds trust and removes friction in the ecosystem and supply chain.

We’ve had the honor of working with the OpenChain community to help develop its forthcoming specification version, and today we’re pleased to announce that we are joining OpenChain both as a platinum member and as a board member.

Our goal is to work even more closely with the OpenChain community to create the standards that will bring even greater trust to the open source ecosystem and that will work for everyone – from individual developers to the largest enterprises.

And Microsoft’s efforts to work with the community to improve open source compliance don’t stop with OpenChain. We’re actively working with ClearlyDefined, which brings clarity to open source component license terms and enables better compliance automation, and the Linux Foundation’s TODO Group, where members develop and share best practices for running world-class open source programs.

We look forward to continued collaboration with OpenChain and the broader open source community to bring greater confidence, clarity, and efficiency to the open source ecosystem.

To learn more, read full announcement here.

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The Twins Challenge: Office 365 crushes Office 2019

Here’s a question I get a lot: What’s the difference between Office 2019 and Office 365? Aren’t they the same?

Well—actually, no.

In fact, while they have similar names, there’s a world of difference between the two. Office 365 includes fully installed Office applications—including the latest versions of Word, Excel, PowerPoint, and Outlook. And these apps keep getting better over time, with new capabilities delivered every month. Most importantly, Office 365 is connected to the cloud, so you can access your content from any device, coauthor with anyone in real-time (regardless of whether or not they’ve purchased a copy of Office), and use the power of artificial intelligence (AI) to create more impactful content with less effort.

On the flipside, Office 2019 also delivers full installs of the Office apps we know and love—but they’re “frozen in time.” They don’t ever get updated with new features, and they’re not cloud-connected. Also, Office 2019 doesn’t support real-time coauthoring across apps, and it doesn’t have the amazing AI-powered capabilities that come with Office 365.

To test our claim that Office 365 can save you time and make work easy (and fun!), we did something unprecedented: We pitted our own software suites—Office 2019 and Office 365—against each other in a head-to-head showdown. We challenged three sets of twins to complete the same tasks in both versions of Word, Excel, and PowerPoint and filmed them along the way.

Want to get to know Office 365?

I think the results speak for themselves; visit the Twins Challenge website for ideas about how to start maximizing your time while creating your best work. AI-infused features—like Ideas in Excel and PowerPoint, Excel Data Types, Ink to Text, and more—will transform your productivity.

If you don’t have Office 365, we have a trial offer for one free month, so you can test it out before committing. We love Office 365, and we think you will too.

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CVP Gavriella Schuster: Our partner ecosystem propels cloud growth and customer innovation worldwide

$32 billion in revenue. That’s an incredible number that Satya Nadella and Amy Hood shared during the Q2 earnings call last week. Just as impressive is the commercial cloud revenue increase of 48 percent year-over-year to $9 billion. Did you know that 95 percent of Microsoft’s commercial revenue flows directly through our partner ecosystem? With more than 7,500 partners joining that ecosystem every month, partner growth and partner innovation are directly fueling our commercial cloud growth. One accelerant, the IP co-sell program, now has thousands of co-sell ready partners that generated an incredible $8 billion in contracted partner revenue since the program began in July 2017.

It’s exciting to see the success of our partners, and to know we are collaborating with businesses of all types and sizes wherever there is opportunity. We’re working together with partners old and new to help them build their own digital capability to compete and grow. We’ve doubled down on our partnership with Accenture and Avanade, creating the new Accenture Microsoft Business Group to help customers overcome disruption and lead transformation in their industries. We’re partnering in new ways with customers like Kroger to bring their new Retail as a Service solution built on Azure, to use in their stores – and to sell to other retailers.

Part of Microsoft’s digital transformation is moving beyond transactional reselling via partners, to a true partnership philosophy where we’re working together to develop and sell each other’s technology and solutions. Our partners are building on our technology, collaborating with partners across borders to build repeatable solutions, and creating new revenue opportunities that didn’t exist in the past. We focus as much on selling third-party solutions as our own, and the speed of the cloud enables all of us to accelerate value to our customers.

I want to share more with you about how hundreds of thousands of Microsoft partners are powering customer innovation, and how we are evolving our partnership strategy in order to drive tech intensity for customers around the world.

Partner success and momentum

With hundreds of thousands of partners across the world, our partner ecosystem is stronger than ever.

CSP: Through our Cloud Solution Provider (CSP) program, our fastest-growing licensing model, partners are embedding Microsoft technologies into their own solutions and delivering more differentiated, long-term value for customers. The number of partners transacting through CSP is up 52 percent, and they are serving more than 2 million customers.

Azure Expert MSP: The Azure Expert MSP program has grown to 43 partners that deliver consistent, repeatable, high-fidelity managed services on Azure and are driving more than $100,000 per month in Azure consumption. A big part of this volume is in migration services, as SQL Server 2008 phases out this summer, followed by Windows Server 2008 a year from now. The opportunity for partners can’t be understated. Our estimates put the opportunity around $50 billion for partners to help customers move their existing on-premises workloads to Azure and start capitalizing on the benefits of the cloud.

IP Co-Sell: Our industry-leading IP co-sell program that rewards Microsoft sellers for selling third-party solutions is a runaway success, generating $8 billion in contracted partner revenue since July. Our partners are reaping the benefits and seeing co-sell deals close nearly three times faster, projects that are nearly six times larger, and drive six times more Azure consumption.

Building the largest commercial marketplace

Gartner estimates the opportunity for business applications will be $133 billion this year, with independent software vendors (ISVs) driving more than half of that. So we are upping our commitment to ISVs by investing in Microsoft’s marketplaces, Azure Marketplace, and AppSource, to build the largest commercial marketplace in the industry. Our marketplace provides a frictionless selling and buying experience that brings parity to first and third-party solutions and meets the needs of both IP builders and software purchasers. Partners with solutions in our marketplace can sell directly to more than a billion customers and partners, and they benefit from lower deployment costs and flexible procurement models for software. Through the marketplace go-to-market services, we’ve seen partners achieve an average of 40 percent reduction in cost per lead, and a 2x lead conversion to sales rate compared to industry averages.

New capabilities are coming soon to AppSource and Azure Marketplace. One of the biggest developments is the ability for partners to offer their solutions to our partner ecosystem through the CSP program, with a single click. We’re also improving the user experience and interface with natural language and recommendations features. And by setting up private marketplaces, partners will be able to customize the terms for any specific customer—billing or metering their services on a per-user, per-app, per-month, or per-day basis to meet customer needs. And soon we’ll be offering curated portfolio IP & Services solutions that leverage Azure, Dynamics, Power BI, Power Apps, and Office.

AI for enterprise

IDC estimates that global spending on cognitive and artificial intelligence systems is expected to triple between 2018 to 2022, from $24 billion to $77.6 billion. And just like Microsoft transformed the way people work and live by making personal computing widely accessible in the 1980s and 1990s, we plan to do the same with artificial intelligence. Our aim is to make AI accessible to and valuable for everyone. We’ll do it by focusing on AI innovations that extend and empower human capabilities, while keeping people in control. Our partners are finding huge success and growth in the AI space. Through our AI Inner Circle Partner program, partners provide custom services and enhanced AI solutions to customers and have seen more than 200 percent growth in their AI practices year-over-year.

As we encourage partners to go all-in on AI, we need to make sure they have substantial resources and training. So, we’ve developed AI Practice Development Workshops, Advanced Education, trainings in the classroom, online, and at events. So far, since July, more than 29,000 people have been trained across Microsoft’s data and AI portfolios. Our popular AI Partner Development Playbook and library of online resources—collectively with more than 1 million downloads—have put answers at the fingertips of partners launching and expanding their AI services.

New HR skills playbook and tools

The latest in our series of Cloud Practice Development Playbooks, released today, is an outstanding human resources guide for partners and customers. We collected input from more than 700 partners to develop “Recruit, Hire, Onboard & Retain Talent.” It is a hands-on guide to walk partners through the HR process of recruiting, hiring, and onboarding employees. Alongside the playbook, we’re launching a new learning portal on MPN that simplifies partner training, and a new Partner Transformation Assessment Tool to help partners map resources and investments against solution areas and workloads.

Partner opportunities ahead

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. And we know that partners make more possible. As a customer-first, partner-led company, we start with the needs of our customers and work with our partners to deliver the best outcomes for each organization. We look forward to continued evolution in the Microsoft-partner relationship this year—with more innovation in AI, more co-selling opportunities, and more ways to connect partners to customers and to other partners through Azure Marketplace and AppSource. I invite you to learn more about how Microsoft leaders from the Azure, Dynamics, and ISV teams are supporting our partners, and how partners can capitalize on the opportunities ahead.

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