Kurt DelBene’s March 4 guidance to King County employees – Stories

Hi everyone,

I wanted to update you on the latest public guidance changes for King County, the region where the Redmond area campuses are located.  The specific recommendations from King County may be found here. We are adjusting our guidance in response to these new recommendations.

These updates will go into effect at the end of day today, Pacific Standard Time, and will remain in effect through March 25th, but we will be continuously monitoring the situation and adjusting guidance as appropriate.

As always, for full list of our guidance to employees, please visit the Global Security website.

Puget Sound and Bay Area work from home updates:

  • Consistent with King County guidance, we are recommending all employees who are in a job that can be done from home should do so through March 25th. Taking these measures will ensure your safety and also make the workplace safer for those that need to be onsite. Please let your manager know that you will be working from home, so all our teams remain well coordinated.
  • If in your role it is essential to be in the office or other work environments (e.g., data center, retail, etc.), plan to continue to go to your location. We will continue to implement the CDC guidelines for cleaning and sanitizing the locations. If you are not sure whether you are in a role that requires you to be onsite, you should speak to your manager.
    • The exceptions to this new guidance are the following groups who are being advised by health authorities to avoid interaction in large groups or public settings:
      • If you are over 60
      • If you have an underlying health condition (heart disease, diabetes, etc.)
      • If you are immune system compromised
      • If you are pregnant
    • In these cases, you should work with your manager to determine leave options or other accommodations available to you.
    • If you are a caregiver of someone that is immune system compromised, please contact your health provider for input.
  • If you will be in the office or other work environments, we recommend limiting prolonged close interactions with people. Specific recommendations are below, but your manager can help implement plans that work well in your particular situation.
    • Limit prolonged interactions and try to stay more than 6 feet/1.8 meters away from others.
    • Keep in-person meetings as short as possible.
    • If you are in open office space and located 6 feet/1.8 meters away from others, you meet the current guidance for appropriate distance from others.
  • Most importantly do not come to work if you are sick. This will be clearly posted on all building entrances.

Updated Global Travel Guidance:

  • We recommend that people postpone travel to Puget Sound or Bay Area campuses unless essential for the continuity of Microsoft.
  • All non-essential business travel should be canceled in regions with active COVID-19
    • “Essential” is defined as work related to operations, sales, customer services (e.g., customer support and customer success).
    • You should discuss travel felt to be essential with your manager and get their approval.
  • You are not required to travel if you have concerns about doing so.

 If your region was not mentioned in this email or my email yesterday, it is because there are no additional updates to the current guidelines, but we will continue to keep you informed. Please look for updates from Global Security if the situation changes in your area.

If you have any questions on how the above guidance applies to your particular circumstances, please discuss with your manager.  You can also send questions to HR.

 What to do if you’re feeling symptoms or believe you’ve been exposed:

In King County, if you believe you were exposed to a confirmed case of COVID-19, contact the novel coronavirus call center: 206-477-3977 or your health care provider. For other locations, please contact your local health department hotline.

If you believe you may have symptoms, please contact your health care provider immediately.

Note for all employees globally:  If you are receiving testing or have a confirmed diagnosis of COVID-19, please confidentially inform HR – we will assist in informing your manager and taking measures that protect others.

 As a reminder, we are following the below precautionary measures from the WHO:

  • Frequently clean hands by using alcohol-based hand rub or soap and water.
  • If you are sick (e.g., flu, cold), do not come to work.
  • When coughing and sneezing cover mouth and nose with flexed elbow or tissue – throw tissue away immediately and wash hands.
  • Avoid close contact with people who are unwell or showing symptoms of illness.
  • If you have fever, cough and difficulty breathing, seek medical care early and share previous travel history with your health care provider.

We will continue to assess the situation and update you as our recommendations change. I really appreciate your patience.

Thanks,

Kurt

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Author: Microsoft News Center

How schools can ramp up remote learning programs quickly with Microsoft Teams | | Microsoft EDU

COVID-19 has impacted the lives of people around the world. As Jared and Lily Zheng shared yesterday, the daily routines of millions, including educators and students, have been impacted. And our Microsoft Education team is committed to helping teachers and students stay connected and engaged.

As some schools look to continue learning remotely for the safety of their students and faculty, Microsoft Teams for Education provides an online classroom so students and teachers can find new ways to continue to focus on learning. Free for schools and universities, Teams provides an online classroom that brings together virtual face-to-face connections, assignments, files and conversations into a single place accessible on either mobile, tablet, PC or browser.  

We have heard incredible stories about how educators are supporting students and have also received questions regarding how students and educators can stay connected using technology.  We want to take this time to share some of the ways you can stay connected and engaged with classrooms and faculty during this time.

To learn more about Microsoft Teams and how to get started, you can join the live webinars on March 5th, from 8:00 – 9:30 AM PST, after which they will be available on demand. To see all the webinars, click here.

  • Part 1 – Online lectures & classes with students: Explore how you can create a persistent online classroom with meetings for up to 250 participants. This webinar is designed to help first time users of Teams get started and host classes and lectures with online meetings. 
  • Part 2 – Online meetings with a selected group of your students: Discover how you can keep students engaged with online meetings for small groups. This webinar is for educators who need to create ad-hoc meetings with selected groups of students and will cover virtual office hours, tutoring sessions, and other group meetings.

Microsoft Teams is included in Office 365 A1, which is free for educational institutions. For IT guidance on how to deploy Office 365 and get your entire school started on Teams, check out this page.  Once Teams is enabled, students and faculty can start using it by entering their school email address at teams.microsoft.com. For any support questions or issues, file a ticket here and for more information on Teams training or other professional development workshops, contact your local Microsoft store.

We are learning so much from schools all around the globe that are enabling remote learning in ingenious ways and you can learn more about Microsoft Teams for Education here. No matter which tools you use, we wish your students, faculty, staff, and families all the best.  

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Author: Microsoft News Center

Wanted – Looking for a decent laptop with a 17” 1080p display

Europe’s busiest forums, with independent news and expert reviews, for TVs, Home Cinema, Hi-Fi, Movies, Gaming, Tech and more.

AVForums.com is owned and operated by M2N Limited,
company number 03997482, registered in England and Wales.

Powered by Xenforo, Hosted by Nimbus Hosting, Original design Critical Media Ltd.
This website uses the TMDb API but is not endorsed or certified by TMDb.

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Author:

Announcing PowerShell 7.0 | PowerShell

Joey Aiello

Joey

Today, we’re happy to announce the Generally Available (GA) release of PowerShell 7.0! Before anything else, we’d like to thank our many, many open-source contributors for making this release possible by submitting code, tests, documentation, and issue feedback. PowerShell 7 would not have been possible without your help.

slew of new cmdlets/APIs and bug fixes, we’re introducing a number of new features, including:

  • Pipeline parallelization with ForEach-Object -Parallel
  • New operators:
    • Ternary operator: a ? b : c
    • Pipeline chain operators: || and &&
    • Null coalescing operators: ?? and ??=
  • A simplified and dynamic error view and Get-Error cmdlet for easier investigation of errors
  • A compatibility layer that enables users to import modules in an implicit Windows PowerShell session
  • Automatic new version notifications
  • The ability to invoke to invoke DSC resources directly from PowerShell 7 (experimental)

For a more complete list of features and fixes, check out the PowerShell 7.0 release notes.

The shift from PowerShell Core 6.x to 7.0 also marks our move from .NET Core 2.x to 3.1. .NET Core 3.1 brings back a host of .NET Framework APIs (especially on Windows), enabling significantly more backwards compatibility with existing Windows PowerShell modules. This includes many modules on Windows that require GUI functionality like Out-GridView and Show-Command, as well as many role management modules that ship as part of Windows. For more info, check out our module compatibility table showing off how you can the latest, up-to-date modules that work with PowerShell 7.

If you weren’t able to use PowerShell Core 6.x in the past because of module compatibility issues, this might be the first time you get to take advantage of some of the awesome features we already delivered since we started the Core project!

Windows, macOS, or Linux. Depending on the version of your OS and preferred package format, there may be multiple installation methods.

If you already know what you’re doing, and you’re just looking for a binary package (whether it’s an MSI, ZIP, RPM, or something else), hop on over to our latest release tag on GitHub.

Additionally, you may want to use one of our many Docker container images. For more information on using those, check out our PowerShell-Docker repo.

following operating systems on x64, including:

  • Windows 7, 8.1, and 10
  • Windows Server 2008 R2, 2012, 2012 R2, 2016, and 2019
  • macOS 10.13+
  • Red Hat Enterprise Linux (RHEL) / CentOS 7+
  • Fedora 29+
  • Debian 9+
  • Ubuntu 16.04+
  • openSUSE 15+
  • Alpine Linux 3.8+

Additionally, we support ARM32 and ARM64 flavors of Debian and Ubuntu, as well as ARM64 Alpine Linux.

While not officially supported, the community has also provided packages for Arch and Kali Linux.

If you need support for a platform that wasn’t listed here, please file a distribution request on GitHub (though it should be noted that we’re ultimately limited by what’s supported by .NET Core 3.1).

.NET decided to do with .NET 5, we feel that PowerShell 7 marks the completion of our journey to maximize backwards compatibility with Windows PowerShell. To that end, we consider PowerShell 7 and beyond to be the one, true PowerShell going forward.

PowerShell 7 will still be noted with the edition “Core” in order to differentiate 6.x/7.x from Windows PowerShell, but in general, you will see it denoted as “PowerShell 7” going forward.

Import-Module documentation.

For those modules still incompatible, we’re working with a number of teams to add native PowerShell 7 support, including Microsoft Graph, Office 365, and more.

Azure Cloud Shell has already been updated to use PowerShell 7, and others like the .NET Core SDK Docker container images and Azure Functions will be updated soon.

will be supported for approximately 3 years from December 3, 2019 (the release date of .NET Core 3.1).

You can find more info about PowerShell’s support lifecycle at https://aka.ms/pslifecycle

filing an issue on the main PowerShell repository. For issues related to specific modules (e.g. PSReadline or PowerShellGet), make sure to file in the appropriate repository.

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Author: Microsoft News Center

AI, Azure and the future of healthcare with Dr. Peter Lee – Microsoft Research

headshot of Peter Lee for the Microsoft Research Podcast

Episode 109 | March 4, 2020

Over the past decade, the healthcare industry has undergone a series of technological changes in an effort to modernize it and bring it into the digital world, but the call for innovation persists. One person answering that call is Dr. Peter Lee, Corporate Vice President of Microsoft Healthcare, a new organization dedicated to accelerating healthcare innovation through AI and cloud computing.

Today, Dr. Lee talks about how MSR’s advances in healthcare technology are impacting the business of Microsoft Healthcare. He also explains how promising innovations like precision medicine, conversational chatbots and Azure’s API for data interoperability may make healthcare better and more efficient in the future.

Related:


Transcript

Peter Lee: In tech industry terms, you know, if the last decade was about digitizing healthcare, the next decade is about making all that digital data good for something, and that good for something is going to depend on data flowing where it needs to flow at the right time.

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: Over the past decade, the healthcare industry has undergone a series of technological changes in an effort to modernize it and bring it into the digital world, but the call for innovation persists. One person answering that call is Dr. Peter Lee, Corporate Vice President of Microsoft Healthcare, a new organization dedicated to accelerating healthcare innovation through AI and cloud computing.

Today, Dr. Lee talks about how MSR’s advances in healthcare technology are impacting the business of Microsoft Healthcare. He also explains how promising innovations like precision medicine, conversational chatbots and Azure’s API for data interoperability may make healthcare better and more efficient in the future. That and much more on this episode of the Microsoft Research Podcast.

(music plays)

Host: Peter Lee, welcome to the podcast!

Peter Lee: Thank you. It’s great to be here.

Host: So you’re a Microsoft Corporate Vice President and head of a relatively new organization here called Microsoft Healthcare. Let’s start by situating that within the larger scope of Microsoft Research and Microsoft writ large. What is Microsoft Healthcare, why was it formed, and what do you hope to do with it?

Peter Lee: It’s such a great question because when, we were first asked to take this on, it was confusing to me! Healthcare is such a gigantic business in Microsoft. You know, the number that really gets me is, Microsoft has commercial contracts with almost 169,000 healthcare organizations around the world.

Host: Wow.

Peter Lee: I mean, it’s just massive. Basically, anything from a one-nurse clinic in Nairobi, Kenya, to Kaiser Permanente or United Healthcare, and everything in-between. And so it was confusing to try to understand, what is Satya Nadella thinking to ask a “research-y” organization to take this on? But, you know, the future of healthcare is so vibrant and dynamic right now, and is so dependent on AI, on Cloud computing, big data, I think he was really wanting us to think about that future.

Host: Let’s situate you.

Peter Lee: Okay.

Host: You cross a lot of boundaries from pure to applied research, computer science to medicine. You’ve been head of Carnegie Mellon University’s computer science department, but you were also an office director at DARPA, which is the poster child for applied research. You’re an ACM fellow and on the board of directors of the Allen Institute for AI, but you’re also a member of the National Academy of Medicine, fairly newly minted as I understand?

Peter Lee: Right, just this year.

Host: And on the board of Kaiser Permanente’s School of Medicine. So, I’d ask you what gets you up in the morning, but it seems like you never go to bed So instead, describe what you do for a living, Peter! How you choose what hat to wear in the morning and what’s a typical day in your life look like?

Peter Lee: Well, you know, this was never my plan. I just love research, and thinking hard about problems, being around other smart people and thinking hard about problems, getting real depth of understanding. That’s what gets me up. But I think the world today, what’s so exciting about it for anyone with the research gene, is that research, in a variety of areas, has become so important to practical, everyday life. It’s become important to Microsoft’s business. Not just Microsoft, but all of our competitors. And so I just feel like I’m in a lucky position, as well as a lot of my colleagues, I don’t think any of us started with that idea. We just wanted to do research and now we’re finding ourselves sort of in the middle of things.

Host: Right. Well, talk a little bit more about computer science and medicine. How have you moved from one to the other, and how do you kind of envision yourself in this arena?

Peter Lee: Well, my joke here is, these were changes that, actually, Satya Nadella forced me to make! And it’s a little bit of a joke because I was actually honored that he would think of me this way, but it was also painful because I was in a comfort zone just doing my own research, leading research teams, and then, you know, Satya Nadella becomes the CEO, Harry Shum comes on board to drive innovation, and I get asked to think about new ways to take research ideas and get them out into the world. And then, three years after that, I get asked to think about the same thing for healthcare. And each one of those, to my mind, are examples of this concept that Satya Nadella likes to talk about, “growth mindset.” I joke that growth mindset is actually a euphemism because each time you’re asked to make these changes, you just get this feeling of dread. You might have a minute where you’re feeling honored that someone would ask you something, but then…

Host: Oh, no! I’ve got to do it now!

Peter Lee: …and boy, I was, you know, on a roll in what I was doing before, and you do spend some time feeling sorry for yourself… but when you work through those moments, you find that you do have those periods in your life where you grow a lot. And my immersion with so many great people in healthcare over the last three or four years has been one of those big growth periods. And to be recognized, then, let’s say, by the National Academies is sort of validation of that.

Host: All right, so rewind just a little bit and talk about that space you were in just before you got into the healthcare situation. You were doing Microsoft Research. Where, on the spectrum from pure, like your Carnegie Mellon roots, to applied, like your DARPA roots, did that land? There’s an organization called NeXT here I think, yeah?

Peter Lee: That’s right. You know, when I was in academia, academia really knows how to do research.

Host: Yeah.

Peter Lee: And they really put the creatives, the graduate students and the faculty, at the top of the pyramid, socially, in the university. It’s just a great setup. And it’s organized into departments, which are each named after a research area or a discipline and within the departments there are groups of people organized by sub-discipline or area, and so it’s an organizing principle that’s tried and true. When I went to DARPA, it was completely different. The departments aren’t organized by research area, they’re organized by mission, some easily assessable goal or objective. You can always answer the question, have we accomplished it yet or not?

Host: Right.

Peter Lee: And so research at DARPA is organized around those missions and that was a big learning experience for me. It’s not like saying we’re going to do computer vision research. We’ll be doing that for the next fifty years. It’s, can we eliminate the language barrier for all internet-connected people? That’s a mission. You can answer the question, you know, how close are we?

Host: Right.

Peter Lee: And so the mix between those two modes of research, from academia to DARPA, is something that I took with me when I joined Microsoft Research and, you know, Microsoft Research has some mix, but I thought the balance could be slightly different. And then, when Satya Nadella became the CEO and Harry Shum took over our division, they challenged me to go bigger on that idea and that’s how NeXT started. NeXT tried to organize itself by missions and it tried to take passionate people and brilliant ideas and grow them into new lines of business, new engineering capabilities for Microsoft, and along the way, create new CVPs and TFs for our company. There’s a tension here because one of the things that’s so important for great research is stability. And so when you organize things like you do in academia, and in large parts of Microsoft Research, you get that stability by having groups of people devoted to an area. We have, for example, say, computer networking research groups that are best in the world.

Host: Right.

Peter Lee: And they’ve been stable for a long time and, you know, they just create more and more knowledge and depth, and that stability is just so important. You feel like you can take big risks when you have that stability. When you are mission-oriented, like in NeXT, these missions are coming and going all the time. So that has to be managed carefully, but the other benefit of that, management-wise, is more people get a chance to step up and express their leadership. So it’s not that either model is superior to the other, but it’s good to have both. And when you’re in a company with all the resources that Microsoft has, we really should have both.

Host: Well, let’s zoom out and talk, somewhat generally, about the promise of AI because that’s where we’re going to land on some of the more specific things we’ll talk about in a bit, but Microsoft has several initiatives under a larger umbrella called AI for Good and the aim is to bring the power of AI to societal-scale problems in things like agriculture, broadband accessibility, education, environment and, of course, medicine. So AI for Health is one of these initiatives, but it’s not the same thing as Microsoft Healthcare, right?

Peter Lee: Well, the whole AI for Good program is so exciting and I’m just so proud to be in a company that makes this kind of commitment. You can think of it as a philanthropic grants program and it is, in fact, in all of these areas, providing funding and technical support to really worthy teams, passionate people, really trying to bring AI to bear for the greater good.

Host: Mm-hmm.

Peter Lee: But it’s also the case that we devote our own research resources to these things. So it’s not just giving out grants, but it’s actually getting into collaborations. What’s interesting about AI for Health is that it’s the first pillar in the AI for Good program that actually overlaps with a business at Microsoft and that’s Microsoft Healthcare. One way that I think about it is, it’s an outlet for researchers to think about, what could AI do to advance medicine? When you talk to a lot of researchers in computer science departments, or across Microsoft research labs, increasingly you’ll see more and more of them getting interested in healthcare and medicine and the first things that they tend to think about, if they’re new to the field, are diagnostic and therapeutic applications. Can we come up with something that will detect ovarian cancer earlier? Can we come up with new imaging techniques that will help radiologists do a better job? Those sorts of diagnostic and therapeutic applications, I think, are incredibly important for the world, but they are not Microsoft businesses. So the AI for Health program can provide an outlet for those types of research passions. And then there are also, as a secondary element, four billion people on this planet today that have no reasonable access to healthcare. AI and technology have to be part of the solution to creating that more equitable access and so that’s another element that, again, doesn’t directly touch Microsoft’s business today in Microsoft Healthcare, but is so important we have a lot to offer so AI for Health is just, I think, an incredibly visionary and wonderful program for that.

Host: Well, let’s zoom back out… um, no, let’s zoom back in. I’ve lost track of the camera. I don’t know where it is! Let’s talk about the idea of precision medicine, or precision healthcare, and the dream of improving those diagnostic and therapeutic interventions with AI. Tell us what precision medicine is and how that plays out and how are the two rather culturally diverse fields of computer science and medicine coming together to solve for X here?

Peter Lee: Yeah, I think one of the things that is sometimes underappreciated is, over the past ten to twenty years, there’s been a massive digitization of healthcare and medicine. After the 2008 economic collapse, in 2009, there was the ARA… there was a piece of legislation attached to that called the HITECH Act, and HITECH actually required healthcare organizations to digitize health records. And so for the past ten years, we’ve gone from something like 15% of health records being in digital form, to today, now over 98% of health records are in digital form. And along with that, medical devices that measure you have gone digital, our ability to sequence and analyze your genome, your proteome, have gone digital and now the question is, what can we do with all the digital information? And on top of that, we have social information.

Host: Yeah.

Peter Lee: People are carrying mobile devices, people talk to computers at home, people go to their Walgreens to get their flu shots.

Host: Yeah.

Peter Lee: And all of this is in digital form and so the question is, can we take all of that digital data and use it to provide highly personalized and precisely targeted diagnostics and therapeutics to people.

Host: Mm-hmm.

Peter Lee: Can we get a holistic, kind of, 360-degree view of you, specifically, of what’s going on with you right now, and what might go on over the next several years, and target your wellness? Can we advance from sick care, which is really what we have today…

Host: Right.

Peter Lee: …to healthcare.

Host: When a big tech company like Microsoft throws its hat in the healthcare ring and publicly says that it has the goal of “transforming how healthcare is experienced and delivered,” I immediately think of the word disruption, but you’ve said healthcare isn’t something you disrupt. What do you mean by that, and if disruption isn’t the goal, what is?

Peter Lee: Right. You know, healthcare is not a normal business. Worldwide, it’s actually a $7.5 trillion dollar business. And for Microsoft, it’s incredibly important because, as we were discussing, it’s gone digital, and increasingly, that digital data, and the services and AI and computation to make good use of the data, is moving to the cloud. So it has to be something that we pay very close attention to and we have a business priority to support that.

Host: Right.

Peter Lee: But, you know, it’s not a normal business in many, many different senses. As a patient, people don’t shop, at least not on price, for their healthcare. They might go on a website to look at ratings of primary care physicians, but certainly, if you’re in a car accident, you’re unconscious. You’re not shopping.

Host: No.

Peter Lee: You’re just looking for the best possible care. And similarly, there’s a massive shift for healthcare providers away from what’s called fee-for-service, and toward something called value-based care where doctors and clinics are being reimbursed based on the quality of the outcomes. What you’re trying to do is create success for those people and organizations that, let’s face it, they’ve devoted their lives to helping people be healthier. And so it really is almost the purest expression of Microsoft’s mission of empowerment. It’s not, how do we create a disruption that allows us to make more money, but instead, you know, how do we empower people and organizations to deliver better – and receive better – healthcare? Today in the US, a primary care doctor spends almost twice as much time entering clinical documentation as they do actually taking care of patients. Some of the doctors we work with here at Microsoft call this “pajama time,” because you spend your day working with patients and then, at home, when you crawl into bed, you have to finish up your documentation. That’s a big source of burn out.

Host: Oh, yeah.

Peter Lee: And so, what can we do, using speech recognition technologies, natural language processing, diarization, to enable that clinical note-taking to be dramatically reduced? You know, how would that help doctors pay more attention to their patients? There is something called revenue-cycle management, and it’s sort of sometimes viewed as a kind of evil way to maximize revenues in a clinic or hospital system, but it is also a place where you can really try to eliminate waste. Today, in the US market, most estimates say that about a trillion dollars every year is just gone to waste in the US healthcare system. And so these are sort of data analysis problems, in this highly complex system, that really require the kind of AI and machine learning that we develop.

Host: And those are the kinds of disruptions we’d like to see, right?

Peter Lee: That’s right. Yeah.

Host: We’ll call them successes, as you did.

Peter Lee: Well, and they are disruptions though, they’re disruptions that help today’s working doctors and nurses. They help today’s hospital administrators.

(music plays)

Host: Let’s talk about several innovations that you’ve actually made to help support the healthcare industry’s transformation. Last year – year ago – at the HIMSS conference, you talked about tools that would improve communication, the healthcare experience and interoperability and data sharing in the cloud. Tell us about these innovations. What did you envision then, and now, a year later, how are they working out?

Peter Lee: Yeah. Maybe the one I like to start with is about interoperability. I sometimes have joked that it’s the least sexy topic, but it’s the one that is, I think, the most important to us. In tech industry terms, you know, if the last decade was about digitizing healthcare, the next decade is about making all that digital data good for something and that good for something is going to depend on data flowing where it needs to flow…

Host: Right.

Peter Lee: …at the right time. And doing that in a way that protects people’s privacy because health data is very, very personal. And so a fundamental issue there is interoperability. Today, while we have all this digital data, it’s really locked into thousands of different incompatible data formats. It doesn’t get exposed through modern APIs or microservices. It’s oftentimes siloed for business reasons, and so unlocking that is important. One way that we look at it here at Microsoft is, we are seeing a rising tidal wave of healthcare organizations starting to move to the cloud. Probably ten years from now, almost all healthcare organizations will be in the cloud. And so, with that historic shift that will happen only once, ever, in human history, what can we do today to ensure that we end up in a better place ten years from now than we are now? And interoperability is one of the keys there. And that’s something that’s been recognized by multiple governments. The US government, through the Centers for Medicare and Medicaid Services, has proposed new regulations that require the use of specific interoperable data standards and API frameworks. And I’m very proud that Microsoft has participated in helping endorse and guide the specific technical choices in those new rules.

Host: So what is the API that Microsoft has?

Peter Lee: So the data standard that we’ve put a lot of effort behind is something called FHIR. F-H-I-R, Fast Healthcare Interoperability Resources. And for anyone that’s used to working in the web, you can look at FHIR and you’ll see something very familiar. It’s a modern data standard, it’s extensible, because medical science is advancing all the time, and it’s highly susceptible to analysis through machine learning.

Host: Okay.

Peter Lee: And so it’s utterly modern and standardized, and I think FHIR can be a lingua franca for all healthcare data everywhere. And so, for Microsoft, we’ve integrated FHIR as a first-class data type in our cloud, in Azure.

Host: Oh, okay.

Peter Lee: We’ve enabled FHIR in Office. So the Teams application, for example, it can connect to health data for doctors and nurses. And there’s integration going on into Dynamics. And so it’s a way to convert everything that we do here at Microsoft into great healthcare-capable tools. And once you have FHIR in the cloud, then you also, suddenly, unlock all of the AI tools that we have to just enable all that precision medicine down the line.

Host: That’s such a Biblical reference right then! The cloud and the FHIR.

Peter Lee: You know, there are – there’s an endless supply of bad puns around FHIR. So thank you for contributing to that.

Host: Well, it makes me think about the Fyre Festival, which was spelt F-Y-R-E, which was just the biggest debacle in festival history

Peter Lee: I should say, by the way, another thing that everyone connected to Microsoft should be proud of is, we have really been one of the chief architects for this new future. One of the most important people in the FHIR development community is Josh Mandel, who works with us here at Microsoft Healthcare, and he has the title Chief Architect, but it’s not Chief Architect for Microsoft, it’s Chief Architect for the cloud.

Host: Oh, my gosh.

Peter Lee: So he spends time talking to the folks at Google, at AWS, at Salesforce and so on.

Host: Right.

Peter Lee: Because we’re trying to bring the entire cloud ecosystem along to this new future.

Host: Tell me a little bit about what role bots might play in this arena?

Peter Lee: Bots are really interesting because, how many listeners have received a lab test result and have no idea what it means? How many people have received some weird piece of paper or bill in the mail from their insurance company? It’s not just medical advice, you know, where you have a scratch in your throat and you’re worried about what you should do. That’s important too, but the idea of bots in healthcare really span all these other things. One of the most touching, in a project led by Hadas Bitran and her team, has been in the area of clinical trials. So there’s a website called clinicaltrials.gov and it contains a registry describing every registered clinical trial going on. So now, if you are desperate for more experimental care, or you’re a doctor treating someone and you’re desperate for this, you know, how do you find, out of thousands of documents, and they’re complicated…

Host: Right.

Peter Lee: …technical, medical, science things.

Host: Jargon-y.

Peter Lee: Yeah, and it’s difficult. If you go to clinicaltrials.gov and type into the search box ‘breast cancer’ you get hundreds of results. So the cool project that Hadas and her team led was to use machine reading from Microsoft Research out of Hoifung Poon’s team, to read all of those clinical trials documents and create a knowledge graph and use that knowledge graph then to drive a conversational chatbot so that you can engage in a conversation. So you can say, you know, “I have breast cancer. I’m looking for a clinical trial,” and the chatbot will start to ask you questions in order to narrow down, eventually, to the one or two or three clinical trials that might be just right for you. And so this is something that we just think has a lot of potential.

Host: Yeah.

Peter Lee: And business-wise, there are more mundane, but also important things. Just call centers. Boy, those nurses are busy. What would happen if we had a bot that would triage and tee up some of those things and really give superpowers to those call center nurses. And so it’s that type of thing that I think is very exciting about conversational tech in general. And of course, Microsoft Research and NeXT should be really proud of really pioneering a lot of this bot technology.

Host: Right. So if I employed a bot to narrow down the clinical trials, could I get myself into one? Is that what you’re explaining here?

Peter Lee: Yeah, in fact, the idea here is that this would help, tremendously, the connection between perspective patients and clinical trials. It’s so important because pharmaceutical companies, in clinics that are setting up clinical trials, more than 50% of them fail to recruit enough participants. They just never get off the ground because they don’t get enough. The recruitment problem is so difficult.

Host: Wow.

Peter Lee: And so this is something that can really help on both ends.

Host: I didn’t even think about it from the other angle. Like, getting people in. I always just assumed, well, a clinical trial, no biggie.

Peter Lee: It’s such a sad thing that most clinical trials fail. And fail because of the recruitment problem.

Host: Huh. Well, let’s talk a little bit more about some of the really interesting projects that are going on across the labs here at Microsoft Research. So what are some of the projects and who are some of the people that are working to improve healthcare in technology research?

Peter Lee: Yeah. I think pretty much every MSR lab is doing interesting things. There’s some wonderful work going on in the Cambridge UK lab, in Chris Bishop’s lab there, in a group being led by Aditya Nori. One of the things there has been a set of projects in collaboration with Novartis really looking at new ideas about AI-powered molecule design for cellular therapies, as well as very precise dosing of therapies for things like macular degeneration and so these are, sort of, bringing the very best machine learning and AI researchers shoulder-to-shoulder with the best researchers and scientists at Novartis to really kind of innovate and invent the future. In the MSR India lab, Sriram Rajamani’s team, they’ve been standing up a really impressive set of technologies and projects that have to do with global access to healthcare and this is something that I think is just incredibly, incredibly important. You know, we really could enable, through more intelligent medical devices for example, much less well-trained technicians and clinicians to be able to deliver healthcare at a distance. The other thing that is very exciting to me there is just looking at data. You know, how do we normalize data from lots of different sources?

Host: Right.

Peter Lee: And then MSR Asia in Beijing, they’ve increasingly been redirecting some of the amazing advances that that lab is famous for in computer vision to the medical imaging space. And there are just amazing possibilities in taking images that might not be high resolution enough for a precise diagnosis and using AI to, kind of, magically improve the resolution. And so just across board, you go from, kind of, lab to lab you just see some really inspiring work going on.

Host: Yeah, some of the researchers have been on the podcast. Antonio Criminisi with InnerEye, umm…  haven’t had Ethan Jackson from Premonition yet

Peter Lee: No, Premonition… Well, Antonio Criminisi and the work that he led on InnerEye, you know, we actually went all the way to an FDA 510(k) approval on the tumor segmentations…

Host: Wow.

Peter Lee: …and the components of that now are going into our cloud. Really amazing stuff.

Host: Yeah.

Peter Lee: And then Premonition, this is one of these things that is, in the age of coronavirus…

Host: Right?

Peter Lee: …is very topical.

Host: I was just going to refer to that, but I thought maybe I shouldn’t…

Peter Lee: The thing that is so important is, we talked of precision medicine before…

Host: Yeah.

Peter Lee: …but there is also an emerging science of precision population health. And in fact, the National Academy of Medicine just recently codified that as an official part of medical research and it’s bringing some of the same sort of precision medicine ideas, but to population health applications and studies. And so when you look at Premonition, and the ability to look at a whole community and get a genetically precise diagnosis of what is going on in that community, it is something that could really be a game-changer, especially in an era where we are seeing more challenging infectious disease outbreaks.

Host: I think a lot of people would say, can we speed that one up a little? I want you to talk for a minute about the broader tech and healthcare ecosystem and what it takes to be a leader, both thought and otherwise, in the field. So you’ve noted that we’re in the middle of a big transformation that’s only going to happen once in history and because of that, you have a question that you ask yourself and everyone who reports to you. So what’s the question that you ask, and how does the answer impact Microsoft’s position as a leader?

Peter Lee: Right. You know, healthcare, in most parts of the world, is really facing some big challenges. It’s at a financial breaking point in almost all developed countries. The spread of the latest access to good medical practice has been slowing in the developing world and as you, kind of, look at, you know, how to break out of these cycles, increasingly, people turn to technology. And the kind of shining beacon of hope is this mountain of digital data that’s being produced every single day and so how can we convert that into what’s called the triple aim of better outcomes, lower costs and better experiences? So then, when you come to Microsoft, you have to wonder, well, if we’re going to try to make a contribution, how do you do it? When Satya Nadella asked us to take this on, we told ourselves a joke that he was throwing us into the middle of the Pacific Ocean and asking us to find land, because it’s such a big complex space, you know, where do you go? And, we had more jokes about this because you start swimming for a while and you start meeting lots of other people who are just as lost and you actually feel a little ashamed to feel good about seeing other people drowning. But it fundamentally it doesn’t help you to figure out what to work on, and so we started to ask ourselves the question, if Microsoft were to disappear today, in what ways would healthcare be harmed or held back tomorrow and into the future? If our hyperscale cloud were to disappear today, in what ways would that matter to healthcare? If all of the AI capabilities that we can deploy so cheaply on that cloud were to disappear, how would that matter? And then, since we’re coming out of Microsoft Research, if Microsoft Research were to disappear today, in what ways would that matter? And asking ourselves that question has sort of helped us focus on the areas where we think we have a right to play. And I think the wonderful thing about Microsoft today is, we have a business model that makes it easy to align those things to our business priorities. And so it’s really a special time right now.

(music plays)

Host: Well, this is – not to change tone really quickly – but this is the part of the podcast where I ask what could possibly go wrong? And since we’ve actually just used a drowning in the sea metaphor, it’s probably apropos… but when you bring nascent AI technologies, and I say nascent because most people have said, even though it’s been going on for a long time, we’re still in an infancy phase of these technologies. When you bring that to healthcare, and you’re literally dealing with lifeanddeath consequences, there’s not any margin for error. So… I realize that the answer to this question could be too long for the podcast, but I have to ask, what keeps you up at night, and how are you and your colleagues addressing potential negative consequences at the outset rather than waiting for the problems to appear downstream?

Peter Lee: That’s such an important question and it actually has multiple answers. Maybe the one that I think would be most obvious to the listeners of this podcast has to do with patient safety. Medical practice and medical science has really advanced on the idea of prospective studies and clinical validation, but that’s not how computer science, broadly speaking, works. In fact, when we’re talking about machine learning it’s really based on retrospective studies. You know, we take data that was generated in the past and we try to extract a model through machine learning from it. And what the world has learned, in the last few years, is that those retrospective studies don’t necessarily hold up very well, prospectively. And so that gap is very dangerous. It can lead to new therapies and diagnoses that go wrong in unpredictable ways, and there’s sort of an over-exuberance on both sides. As technologists, we’re pretty confident about what we do and we see lots of problems that we can solve, and the healthcare community is sometimes dazzled by all of the magical machine learning we do and so there can be over-confidence on both sides. That’s one thing that I worry about a lot because, you know, all over our field, not just all over Microsoft, but across all the other major tech companies and universities, there are just great technologists that are doing some wonderful things and are very well-intentioned, but aren’t necessarily validated in the right way. And so that’s something that, really, is worrisome. Going along with safety is privacy of people’s health data. And while I think most people would be glad to donate their health data for scientific progress, no one wants to be exploited. Exploited for money, or worse, you know, denied, for example, insurance.

Host: Right.

Peter Lee: And you know, these two things can really lead to outcomes, over the next decade, that could really damage our ability to make good progress in the future.

Host: So that said, we’re pretty good at identifying the problem. We may be able to start a good conversation, air quotes, on that, but this is, for me, like, what are you doing?

Peter Lee: Yeah.

Host: Because this is a huge thing, and

Peter Lee: I really think, for real progress and real transformation, that the foundations have to be right and those foundations do start with this idea of interoperability. So the good thing is that major governments, including the US government, are seeing this and they are making very definitive moves to foster this interoperable future. And so now, our role in that is to provide the technical guidance and technologies so that that’s done in the right way. And so everything that we at Microsoft are doing around interoperability, around security, around identity management, differential privacy, all of the work that came out of Microsoft Research in confidential computing…

Host: Yeah.

Peter Lee: …all of those things are likely to be part of this future. As important as confidential computing has been as a product of Microsoft Research, it’s going to be way, way more important in this healthcare future. And so it’s really up to us to make sure that regulators and lawmakers and clinicians are aware and smart about these things. And we can provide that technical guidance.

Host: What about the other companies that you mentioned? I mean, you’re not in this alone and it’s not just companies, it’s nations, and, I dare say, rogue actors, that are skilled in this arena. How do you get, sort of, agreement and compliance?

Peter Lee: I would say that Microsoft is in a good position because it has a clear business model. If someone is asking us, well what are you going to with our data? We have a very clear business model that says that we don’t monetize on your data.

Host: Right.

Peter Lee: But everyone is going to have to figure that out. Also, when you are getting into a new area like healthcare, every tech company is a big, complicated place with lots of stakeholders, lots of competing internal interests, lots of politics.

Host: Right.

Peter Lee: And so Microsoft, I think, is in a very good position that way too. We’re all operating as one Microsoft. But it’s so important that we all find ways to work together. One point of contact has been engineered by the White House in something called the Blue Button Developers Conference. So that’s where I’m literally holding hands with my counterparts at Google, at Salesforce, at Amazon, at IBM, making certain pledges there. And so the convening power of governments is pretty powerful.

Host: It’s story time. We’ve talked a little about your academic and professional life. Give us a short personal history. Where did it all start for Peter Lee and how did he end up where he is today?

Peter Lee: Oh, my.

Host: Has to be short.

Peter Lee: Well, let’s see, so uh, I’m Korean by heritage. I was born in Ohio, but Korean by heritage and my parents immigrated from Korea. My dad was a physics professor. He’s long retired now and my mother a chemistry professor.

Host: Wow.

Peter Lee: And she passed away some years ago. But I guess as an Asian kid growing up in a physical science household, I was destined to become a scientist myself. And in fact, they never said it out loud, but I think it was a disappointment to them when I went to college to study math! And then maybe an even the bigger disappointment when I went from math to computer science in grad school. Of course they’re very proud of me now.

Host: Of course! Where’d you go to school?

Peter Lee: I went to the University of Michigan. I was there as an undergrad and then I was planning to go work after that. I actually interviewed at a little, tiny company in the Pacific Northwest called Microsoft…

Host: Back then!

Peter Lee: … and …but I was wooed by my senior research advisor at Michigan to stay on for my PhD and so I stayed and then went from grad school right to Carnegie Mellon University as a professor.

Host: And then worked your way up to leading the department…

Peter Lee: Yeah. So I was there for twenty four years. They were wonderful years. Carnegie Mellon University is just a wonderful, wonderful place. And um..

Host: It’s almost like there’s a pipeline from Microsoft Research to Carnegie Mellon. Everyone is CMU this, CMU that!

Peter Lee: Well, I remember, as an assistant professor, when Rick Rashid came to my office to tell me that he was leaving to start this thing called Microsoft Research and I was really sad and shocked by that. Now here I am!

Host: Right. Well, tell us, um, if you can, one interesting thing about you that people might not know.

Peter Lee: I don’t know if people know this or not, but I have always had an interest in cars, in fast cars. I spent some time, when I was young, racing in something called shifter karts and then later in open wheel Formula Ford, and then, when I got my first real job at Carnegie Mellon, I had enough money that I spent quite a bit of it trying to get a sponsored ride with a semi-pro team. I never managed to make it. It’s hard to kind of split being an assistant professor and trying to follow that passion. You know, I don’t do that too much anymore. Once you are married and have a child, the annoyance factor gets a little high, but it’s something that I still really love and there’s a community of people, of course, at a place like Microsoft, that’s really passionate about cars as well.

Host: As we close, Peter, I’d like you to leave our listeners with some parting advice. Many of them are computer science people who may want to apply their skills in the world of healthcare, but are not sure how to get there from here. Where, in the vast sea of technology and healthcare research possibilities, should emerging researchers set their sights and where should they begin their swim?

Peter Lee: You know, I think it’s all about data and how to make something good out of data. And today, especially, you know, we are in that big sea of data silos. Every one of them has different formats, different rules, most of them don’t have modern APIs. And so things that can help evolve that system to a true ocean of data, I think anything to that extent will be great. And it is not just tinkering around with interfaces. It’s actually AI. To, say, normalize the schemas of two different data sets, intelligently, is something that we will need to do using the, kind of, latest machine learning, latest program synthesis, the kind of, latest data science techniques that we have on offer.

Host: Who do you want on your team in the coming years?

Peter Lee: The thing that I think I find so exciting about great researchers today is their intellectual flexibility to start looking at an idea and getting more and more depth of understanding, but then evolve as a person to understanding, you know, what is the value of this in the world, and understanding that that is a competitive world. And so, how willing are you to compete in that competitive marketplace to make the best stuff? And that evolution that we are seeing over and over again with people out of Microsoft Research is just incredibly exciting. When you see someone like a Galen Hunt or a Doug Burger or a Lili Cheng come out of Microsoft Research and then evolve into these world leaders in their respective fields, not just in research, but spanning research to really competing in a highly competitive marketplace, that is the future.

Host: Peter Lee, thank you for joining us on the podcast today. It’s been an absolute delight.

Peter Lee: Thank you for having me. It’s been fun.

(music plays)

To learn more about Dr. Peter Lee and how Microsoft is working to empower healthcare professionals around the world, visit Microsoft.com/research

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Author: Microsoft News Center

A closer look at new and updated Microsoft security features

Data breaches occur on a daily basis. They can’t be avoided in our interconnected world, but you can take a proactive approach to reduce your risk.

While the internet has been a boon for organizations that rely on remote users and hybrid services, it’s now easier than ever for an intrepid hacker to poke at weak points at the perimeter to try and find a way inside. Windows Server is a key IT infrastructure component for most enterprises that handles numerous tasks — such as authentication — and runs critical workloads, namely Exchange Server, SQL Server and Hyper-V. Due to its ubiquitous nature, Windows Server is a natural target for hackers seeking a foothold inside your company. There are many Microsoft security products and native features in the newer Windows Server designed to keep sensitive information from spreading beyond your organization’s borders.

Microsoft security in Windows Server improved with the Server 2019 release by updating existing protections and adding new functionality geared to prevent the exposure of sensitive information. The company also offers several cloud-based products that integrate with the Windows operating system to warn administrators of trending threats that could affect their systems.

What are some features in Microsoft Defender ATP?

Microsoft Defender Advanced Threat Protection — formerly, Windows Defender ATP — supplements existing security measures while also providing a cloud-based platform with a range of capabilities, including response to active attacks, automated investigation of suspicious incidents and a scoring system that determines the level of vulnerability for each endpoint.

Microsoft Defender ATP, which underwent a name change in 2019 when the product was extended to protect Mac systems, features multiple proactive and reactive methods to protect organizations from many forms of cyberattacks. For example, to keep an endpoint from being susceptible to a common intrusion method via a Microsoft Office application, Microsoft Defender ATP can prevent the application from launching a child process.

Microsoft Defender ATP gathers information from a vast array of resources — such as different events on on-premises Windows systems and the Office 365 cloud collaboration platform — that Microsoft analyzes to detect patterns, such as certain command-line actions, that could indicate malicious behavior. Microsoft Defender ATP integrates with several Azure security products for additional protection. For example, by connecting to Azure Security Center, administrators get a dashboard that highlights suspicious activity in the organization with recommended actions to execute to prevent further damage.

Microsoft security features in this offering were tailored for Windows Server 2019 customers to prevent attacks that start either in the kernel or memory — sometimes called file-less attacks — of the operating system. Microsoft Defender ATP eases the onboarding process for this server OS through System Center Configuration Manager with a script.

What new SDN security features are in Windows Server 2019?

Abstracting the operations work associated with networking offers administrators a way to add some agility in an area not typically known for its nimbleness. Software-defined networking (SDN) gives IT newfound abilities via a centralized management platform for network devices to make it easier to perform certain tasks, such as ensuring specific workloads get enough bandwidth to meet performance expectations. But SDN is not immune to traditional threats if a malicious actor gains network access and proceeds to sniff traffic to scoop up credentials and other valuable information.

Microsoft enhanced the security aspect of its Windows Server 2019 SDN functionality by introducing several features to avoid data leakage, even if the data center defenses failed to stop unauthorized system access.

By implementing the “encrypted networks” feature, organizations add another layer of security around data that moves between VMs inside a particular subnet by encoding the information. Other noteworthy SDN security additions for the Server 2019 OS include more granular control over access control lists to avoid security gaps and firewall auditing on Hyper-V hosts for further investigation of suspicious incidents.

Where can I use BitLocker encryption in my environment?

Microsoft released its BitLocker encryption feature for on-premises Windows systems, starting with the Vista operating system in 2007. Since that time, the company has continued to develop ways to use this technology in more places, both in the data center and beyond.

BitLocker started out as an encryption method to protect all the contents in a hard drive. That way, even if a laptop was stolen, prying eyes would not be able to do anything with the confidential data stored on the device due to the length of time it would take to do a brute-force hack of even a less-secure 128-bit key.

Using BitLocker, while effective to thwart hackers, can frustrate users when they need to authenticate every time they need to use a device or when a BitLocker-encrypted server requires an additional login process after a reboot. Microsoft developed a feature dubbed BitLocker Network Unlock, debuting with Windows 8 and Windows Server 2012, that uses the physical network to deliver the encrypted network key so protected systems can unlock if they are connected to the corporate network.

Microsoft extended BitLocker technology to the cloud to give administrators a way to put additional safeguards around sensitive Azure VMs with the platform’s Azure Disk Encryption feature for full volume protection of disks. For this type of deployment, the Azure Key Vault is used for key management.

What are some recent security features added to Hyper-V?

Data leakage can tarnish a company’s reputation, but it can be an expensive lesson for lax security practices if regulators determine a privacy law, such as the GDPR, was broken.

Organizations that use the Hyper-V platform get the typical benefits acquired by consolidating multiple workloads on a single host in a virtualized arrangement.

But Microsoft continues to help administrators who operate in sensitive environments by adding virtualization-based security features with each successive Windows Server release to reduce the probability of a data breach, even if an intruder makes their way past the firewall and other defensive schemes.

Microsoft added shielded VMs in Windows Server 2016, which encrypts these virtualized workloads to prevent access to their data if, for example, the VM is copied from the sanctioned environment. In Windows Server 2019, Microsoft extended this protection feature to Linux workloads that run on Hyper-V when the VMs are at rest or as they shift to another Hyper-V host.

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