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Powering our customers: the innovation story behind Microsoft’s earnings

Microsoft’s first quarter earnings show that we continue to gain momentum with enterprise customers across industries and solution areas. That momentum reflects a steadfast commitment to customer success, whether through cross-industry partnerships or through cloud- and AI-driven innovations that are transforming how organizations are building competitive advantages and creating value for their own customers.

On the partnership front this past quarter, Microsoft joined with Adobe and SAP to launch the Open Data Initiative. The initiative aims to address one of the biggest challenges facing organizations today: barriers between customer interaction data and operational data that limit the ability to create connections, identify insights and extract value from data in real time for a better overall customer experience. I am thrilled to share that consumer product leaders like Unilever, the Coca-Cola Company and Walmart have already expressed their interest and support for the initiative.

On the cloud and AI front, we are seeing organizations as varied as Mastercard, Volkswagen Group,  Buhler, Grab and Sodexo embrace these technologies to drive innovation in payment processing, connected cars, ride-hailing apps, food safety and facility management. These customers recognize the advantage of having a consistent computing stack from the cloud to the edge — and they are not alone. In fact, there are several examples of customer innovation that impressed me in Q1. Here are a few:

Belgium-based brewer Anheuser-Busch InBev, whose operations range from a Beer Garage in Silicon Valley and a Global Analytics Center in Bangalore, India, is moving its IT operations to the cloud to drive commercial and operational growth and increase sustainability. The cloud has enabled the beer giant to build a global analytics platform that breaks down data silos for greater insights into its business operations.

Shell is investing in Azure, IoT and AI, including machine vision, to maximize productivity across its drilling equipment and make operations safer for customers and service champions at its 44,000 gas stations. Specifically, Shell is piloting a new cloud-based, deep learning solution that uses closed-circuit camera footage and IoT to automatically identify safety hazards and alert service champions for quick response and elimination of potential problems. Shell also announced C3 IOT and Microsoft as its official AI partner with C3 IoT on Azure.

IoT also is at the heart of CBRE’s efforts to use space more efficiently and improve the tenant experience. The world’s largest commercial real estate services firm is equipping buildings with heat and motion sensors for a better understanding of workplaces. Those sensors allow employees to see in real-time if spaces are open even if Exchange shows they are booked. The firm has also launched CBRE 360, a mobile app built on top of the Azure Digital Twins solution that enables employees to search for meeting rooms and with specific requirements like a Surface Hub or a Skype Room System.

Energy leader Chevron is already seeing measurable results after deploying hundreds of HoloLens devices across its global operations. The deployment means that instead of, say, a Houston-based Chevron inspector traveling monthly to a facility in Singapore to inspect equipment, Chevron can today perform real-time inspections using Dynamics 365 Remote Assist and identify issues or provide approvals immediately.

In the financial services industry, Nasdaq announced it is running its MarketSite streaming services on Azure, with plans to expand its iconic Times Square MarketSite experience to locations in San Francisco, Stockholm, Sydney and Bangalore, India. Nasdaq MarketSite is known for the dramatic video tower that illuminates Times Square with 19 million LEDs and seven stories of multimedia screens. MarketSite also includes full event experiences for companies listing on the exchange.

When we look at how businesses get work done, Microsoft 365 helps organizations of all sizes, from Goodyear to Rogers, empower their employees in the modern workplace. Rogers, a leading diversified Canadian communications and media company, has built a collaborative, agile, and productive workplace with Microsoft 365 and Windows 10 for its 26,000 employees. Microsoft’s modern workplace solutions have allowed Rogers to simplify its IT environment, meet security needs, and enable employee productivity and communication anywhere, on any device.

These examples only scratch the surface of the cloud- and AI-driven innovations taking place across every industry and every geography. They demonstrate how digital transformation can bring together people, data and processes in a way that generates value and competitive advantage. At Microsoft, my colleagues and I could not be more honored to partner with these organizations on their digital journey as they innovate the future of business.

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How autonomous drones can help the energy and utilities industry


Welcome to How AI Transform Business, a new series featuring insights from conversations with Microsoft partners who are combining deep industry knowledge with AI in novel ways and, in doing so, creating leading-edge intelligent business solutions for our digital age.

Our first episode features eSmart Systems, which is in the business of creating solutions to accelerate global progress towards sustainable societies. Headquartered in the heart of Østfold county, Norway, eSmart Systems develops digital intelligence for the energy industry and for smart communities. The company is strategically co-located with the NCE Smart Energy Markets cluster and the Østfold University College and thrives in a very innovative environment. When it comes to next-generation grid management systems, or efficiently running operations for the connected cities of the future or driving citizen engagement, the company is at the forefront of digital transformation.

We recently caught up with Davide Roverso, Chief Analytics Officer at eSmart Systems. Davide has many interesting things to share about where and how AI is being applied in the infrastructure industry. Among other things, he talks about how utilities companies are forced to fly manned helicopters missions over live electrical power lines today, just to perform routine inspections, and how – using AI – it is possible to have safer and more effective inspections that do not expose humans to this sort of risk.


Davide Roverso, Chief Analytics Officer, eSmart Systems, in conversation with Joseph Sirosh,
Chief Technology Officer of Artificial Intelligence in Microsoft’s Worldwide Commercial Business.

Video and podcasts versions of this session are available via the links below. Alternatively – just continue reading a transcript of their conversation below.

Joseph Sirosh: Davide, would you tell a little about eSmart Systems and yourself?

Davide Roverso: eSmart Systems is a small Norwegian startup, was established in 2013. The main area in which we work is building SaaS for the energy and utilities sector. So basically, it was founded by a group of people that had been working together for over 20 years in the energy and utilities space. They were first working a lot on power exchange software, and delivered power exchange to California, among others. And then, about 2012, they went for a kind of exploration trip to the US, to Silicon Valley and that area, and they visited Google and Amazon and Microsoft and Cloudera and tried to find what were the new biggest trends. And they came back home with a clear idea that they had to focus on cloud and AI. And of course, they used that in their core business and that was power and utilities.

So that’s how eSmart Systems started.

JS: And so, you have an analytics team, or now is it an AI team?

DR: We have 10 data scientists, so more than 10% of the company is data scientists, so we have a big focus on AI. When I started in eSmart Systems about three years ago we were just two, so I built quite a good group since then. And we use machine learning in a lot of different areas. Two main areas are specifically time series analysis and predictions, and the other is more on analyzing images – we use that for inspecting, for instance, power lines with drones.

JS: You must have a lot of interesting projects. So, tell me, in the power and utilities industry, where is AI used?

DR: Well, we mainly work with the DSOs, distribution system operators, which are kind of responsible for distributing power to end users. Up to few years ago they were basically operating blind because the last lowest voltage network is not instrumented. But since the introduction of smart meters, every home now – well in most of the European countries they are rolling out smart meters and the same in most of the US – every home now basically has a sensor. So now, suddenly they have much more data they can use to more intelligently steer the grid. So, there AI we use mostly to make predictions of loads and consumption from different types of customers, both household and industry customers.

And this is very important information, especially now, with the large introduction of distribution energy resources – all the renewables that are coming online. A lot of people are installing solar panels on the roofs. A lot of end users are now what we call prosumers, so they both produce and consume electricity, so there’s a two-way flow of power and data. So, there are lots of opportunities to optimize this new kind of smart grid that is becoming more and more widespread now.

JS: Very interesting. So, what are some of the most exciting AI applications that you have seen now in the power industry and in what you are doing?

DR: We are developing some very exciting applications in the space of inspections. We are combining AI with drones. Of course, the electrical infrastructure is relatively old and requires quite a lot of maintenance and inspections. And, so far, these inspections have been mostly done manually, so periodically people actually walk along the lines and climb up the poles and check infrastructure. And the last few years they have started using helicopters, and they fly helicopters – quite dangerous missions because they have to be quite close to the power lines, and every year there are reports of near incidents. So, it is quite an expensive process, but it is, of course, necessary, and even more necessary as the infrastructure ages even more.

So, the idea here is to use drones to have a cheaper, more effective inspection. And here, it is very exciting to use all the new technology that we have today for this kind of image intelligence that we have, with deep networks and convolutional neural networks. So, recognizing infrastructure, recognizing different types of faults and anomalies.

“It is very exciting to use all the new technology that we have today… with deep networks and convolutional neural networks, [for] recognizing infrastructure, recognizing different types of faults and anomalies.”

JS: And so, how do you use the cloud?

DR: Our systems are basically deployed in the cloud. So, the smart meter / smart grid systems, they collect data from smart meters and upload everything in the cloud. And all the analysis – all the machine learning and AI – happens in the cloud. And the same for the drones. Well, there are different missions. If it’s kind of a periodic inspection, then time is not the big issue, you can analyze the images in batch, and then we use cloud for that. So, we upload – it can be hundreds of thousands of images – and process them in the cloud.

JS: So, what is the advantage that cloud brings you, cloud and AI together?

DR: It is scalability. Regardless of how many drones or how many pictures our customers are sending to the systems, we are able to serve those.

JS: Near instantly being able to provision as many resources as you want. Okay, that’s very good.

DR: Also, edge is very important, it’s not just the cloud, the intelligent…

JS: Intelligent cloud and intelligent edge.

DR: Because if you’re on a mission for finding a fault or outage as quickly as possible then you need intelligence on the edge. And you also need that if you want to have autonomous drones, of course. Because today, we still don’t have fully autonomous drones – we still have pilots that remotely pilot the drones – but of course, the longer-term vision is to have fully autonomous drones.


JS: So, have you developed a prototype of autonomous drones that can follow power lines?

DR: Yes, to follow power lines and then position itself in the optimum spots to take the correct pictures for the detailed inspection. So the drone is not doing the detailed inspection – that happens in the cloud – but is using edge AI to localize the components, the assets that we need to inspect and take the right pictures and then move on to the next.

JS: Is AI scary?

DR: Not today. But it can be, in the future, you know. Your probably read Bostrom’s book “Superintelligence” that came out in 2014, I think. So, he envisioned like a superintelligence that will take over, and we will not even notice that because it will come so fast we won’t realize. But this is a long time away. But anyway, today there are philosophical and ethical questions that are important to ask ourselves. And there are big institutes both in the UK and in the US that focus on that, so that’s important. But todays technologies can be weaponized in a way, so there is that kind of scary side of it, of using AI without ethical controls, for autonomous weapons. So, there are some initiatives there. In my opinion, there should be an international agreement on how to control autonomy.

JS: But all technologies are the same way, I would think.

DR: Of course.

JS: What are some of the most exciting AI developments you have seen recently?

DR: Well, of course, all the developments around visual intelligence as I call it – so all the analysis of images, segmentation, detecting objects, and things like that with deep neural networks, and convolutional neural networks – it’s very exciting. And one very exciting development is, of course, self-driving cars. That, for me, is very exciting, and I use it a lot as an example in my presentations because it both showcases vision development / technological development but also its an application that basically touches almost everyone. Everyone drives a car, at least in the developed world, so it’s one of the applications that will come – that we will feel – much more quickly than other ones. But, of course, all the developments around language and speech recognition, and all these new intelligent systems and bots that are coming, it’s very exciting developments. From the research point of view, I like a lot of what is happening around the games and gaming in AI. You know, we both started working on AI in the nineties, and at that time, well since the beginning, AI has been applied to games – from checkers, and then chess, Deep Blue beating Kasparov in ’97, and then, more recently, of course, AlphaGo, and AlphaZero, even more exciting and now the latest one with Open AI playing Dota 2 – so, it’s a very nice way of developing new concepts. It doesn’t have direct applications in the real world, but it develops kind of fundamental capabilities that real world systems are going to need.

JS: Any thoughts about the applications of AI outside of the power industry, some of the most exciting other areas that you might be able to go into?

DR: Yeah, well – basically all the work that we are doing both around images and inspections is applicable to other…

JS: … all types of inspections. Yeah, one thing I heard sometime recently was about inspecting for lightning strikes on aircraft. And they were looking to see if you can use AI to identify, because today again somebody has to climb the airplane and go look at spots and see if there has been a lightning strike.

DR: Or inspecting like pipelines, or railways – any kind of infrastructure.

JS: Or even assets, even just counting assets, is one thing I heard, which was interesting.

DR: Almost limitless amount of applications.

JS: Very exciting. Any concluding thoughts on AI and its applications?

DR: Well, it’s very exciting times. I’ve been working in AI for 30 years and finally we see a lot of traction, and we see an explosion of applications and interest and money nonetheless coming into AI. And real applications that are both helpful and exciting.

JS: And do you think AI is being democratized – made available to software developers much more easily?

DR: Yeah, definitely. Today, basically anyone can experiment with AI. Maybe it’s still difficult to make an application that is production-ready if you are not a data scientist because you can fall in many places – you can make a lot of mistakes if you don’t know what you’re doing. But you can experiment and generate something useful in a much easier way than before. So, there’s been a lot of progress around that and there is going to be more progress – I cannot even say in the years to come, just weeks!

JS: Wonderful, it’s been a pleasure talking to you.

DR: Thank you, it’s been a pleasure.

“It’s very exciting times. I’ve been working in AI for 30 years and finally we see a lot of traction, and we see an
explosion of applications and interest…”

We hope you enjoyed this post. This being our first episode in the series, we are eager to hear your feedback, so please share your thoughts and ideas below.

The AI / ML Blog Team

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Top 10 security steps in Microsoft 365 that political campaigns can take today

The increasing frequency of cyberattacks make clear that more must be done to protect key democratic institutions from cyber-enabled interference. With just a few weeks left before the U.S. midterm elections and early voting under way, campaigns must stay vigilant in protecting against cyberattacks to their online collaboration tools, including email. Microsoft recommends taking action today to protect against phishing, malware, account compromise, and other threats—see Top 10 ways to secure Office 365 and Microsoft 365 Business plans from cyberthreats. These recommendations are tailored for small to mid-sized political campaigns and election-focused stakeholders using Office 365 or Microsoft 365. Any organization—especially those without full-time IT security staff—can benefit from taking these actions.

This guidance provides step-by-step instructions for using 10 high-impact security capabilities. These actions help you implement many of the best practices recommended in the Cybersecurity Campaign Playbook, created by the Defending Digital Democracy program at Harvard Kennedy School’s Belfer Center for Science and International Affairs.

Top 10 cybersecurity recommendations:

  1. Set up two-step verification for all staff.
  2. Train campaign staff to quickly identify phishing attacks.
  3. Use dedicated accounts for administration.
  4. Raise the level of malware protection in mail.
  5. Protect against ransomware.
  6. Prevent emails auto-forwarding outside of the campaign.
  7. Increase encryption for sensitive emails.
  8. Protect your email from phishing attacks.
  9. Protect against malicious attachments in email.
  10. Protect against phishing attacks that include malicious website links in email or other files.

Read Top 10 ways to secure Office 365 and Microsoft 365 Business plans from cyberthreats for details on how to implement each action.

These recommendations are provided as part of Microsoft’s ongoing commitment to the Defending Democracy Program. Qualifying organizations using Office 365 can also take advantage of Microsoft AccountGuard for additional protection to leverage Microsoft’s state-of-the-art threat detection and notification in case of targeted nation-state cyberattacks.

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New Garage project Earth Lens pairs AI with aerial imagery to aid disaster relief, environment

This summer, Microsoft’s AI for Earth team and the office of the AI CTO decided to challenge a group of Garage interns to pair AI with aerial images to make a difference. Today, we announce the release of their summer project: Earth Lens, a Microsoft Garage project, a Xamarin-based, open source project for iPad that identifies, tracks, and analyzes objects in aerial imagery to assist in scenarios such as disaster relief and environmental conservation. Earth Lens releases on the heels of Microsoft’s announcement to commit over $40 Million to new initiative to leverage AI in efforts to save lives, joining a suite of programs known as AI for Good, including AI for Earth, AI for Accessibility, and now, AI for Humanitarian Action.

Earth_Lens_Screenshot_2Imagine yourself as a data analyst working to identify objects in aerial imagery. Maybe you’re tracking fishing vessels through the ocean to support ocean sustainability and protect marine ecosystems, or perhaps you’re looking at cities that have been hit by a natural disaster to determine where to allocate your relief efforts. In either case, you would need a dedicated team to comb through thousands of satellite images, manually identifying, tracking, and analyzing relevant objects. Extracting insights from imagery data is an expensive process that could take upwards of days, delaying the decision-making process in mission critical situations.

Inspired to make this process more efficient, the two co-sponsors decided to team up to pitch Garage interns on tackling this problem by leveraging AI. The Garage Internship Program offers teams of 5-6 university students the opportunity to design and build their own project in response to a challenge by sponsoring Microsoft groups. The Vancouver-based group of interns loved the AI for Good pitch. “In the start of May, our sponsors came to us with an idea that immediately sparked interest among the six of us: an opportunity to leverage AI to help with environmental efforts headed by researchers and conservationists,” shared Michelle Chen, Program Manager intern for Earth Lens.

AI for Good

The team was especially inspired by the work of the organizations helping victims of natural disasters by providing satellite imagery to hasten relief. She continues, “Our vision for Earth Lens was to use technology and AI to transform the way humanitarian work is conducted. The rise of automated image recognition has empowered humanitarian organizations to triage damage, and prioritized areas that require immediate help.”

Equipped with a trained machine learning model from the AI for Earth team, the interns set out to build a minimally viable product over the course of their remaining 16-week internship. They approached design with a customer obsessed mindset and interviewed prospective users like to the Red Cross, OceanMind, and FarmBeats to identify useful features and iterate on their prototype. The team quickly realized that, in addition to disaster relief, such a tool might be useful in a variety of social impact and sustainability applications such as agriculture, forestry, fishing, and land conservation.

The team built an iOS app that offers a host of features that humanitarians and environmental researchers can leverage to accelerate their analyses:

• Automatically identify, classify, and label objects in satellite images, encircling like objects in color-coded bounding boxes
• Count and aggregate objects identified by the machine learning model
• Toggle classes on/off to focus in on specific objects
• View images over time alongside a data visualization chart to identify trends and patterns in a Time Series mode
• Use the app remotely, without an internet connection

With the Earth Lens source code and corresponding instructions now available on GitHub, researchers will be able to build their own iOS apps that automatically extract information from a large dataset and scan that analysis in a useful and interactive view. As a result, this open source project can be useful in various industrial or agricultural applications to further Microsoft’s commitment to sustainability. In a disaster relief scenario, another minute could mean another life lost.

An Internship Where You Can Make an Impact

Earth_Lens_Team_ImageThis Garage project illustrates how developers can use AI to make a difference and the team hopes they’ve built something that will spark humanitarian creativity in others. “We all had the privilege and opportunity to experience what it means to work at Microsoft and be a part of something larger than us,” notes Seara Chen, a Software Developer intern who worked on model integration. “Our entire team agrees that this internship was an amazing experience filled with learning, surprises and a lot of problem-solving.”

Interested in trying Earth Lens? Check out the source code on GitHub, where you can also find instructions on how to build the iPad application and leverage the machine learning model that powers the project. You can learn more or provide feedback via GitHub.

The Garage Internship Program is hiring. You can learn more about openings and explore past Garage intern projects: Seeing AI, Ink to Code, Mobile Chest X-ray.

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Go to the next level of Windows Mixed Reality with the Samsung HMD Odyssey+



Samsung has announced a new advanced display technology for the HMD Odyssey+, bringing true-to-life visuals to its entry in the Windows Mixed Reality space that delivers an improved life-like and immersive experience.

To push visual boundaries, the headset has dual 3.5-inch AMOLED displays and a combined resolution of 2,880 x 1,600. And on the audio end, it integrates AKG’s premium audio technology for exceptional and dynamic sound performance. You’ll feel truly in the moment with built-in 360-degree Spatial Sound support that simulates 3D sounds, delivering clear and precise acoustics from every angle. There are also built-in volume controls.

You’ll experience true, distraction-free immersive viewing with the Samsung HMD Odyssey+’s exclusive Anti-Screen Door Effect (Anti-SDE) Display innovation [1]. When fine lines separating pixels become visible in some displays, the “screen door effect” can hinder immersion and even lead to dizziness or nausea over time. This headset deploys its cutting-edge display technology to fight irritating fixed-pattern noise for an enhanced MR experience.

And for those moments when you need to get back to reality, its controller can act as a flashlight so you can see the world around you – delivering a more comfortable and convenient way to stay aware of your surroundings.

But while you’re wearing the headset, you’ll find you can enjoy it longer, thanks to its improved ergonomic design. It weighs only 1.3 pounds and has a wider eye box to help match your facial features.

And now, anyone can find that perfect fit because everything from the headband to the display position, to the Inter-Pupillary Distance (IPD) wheel, is easily adjustable. The breathable anti-fog material of the face padding ensures the inside of the eye box doesn’t mist up, so you can enjoy your MR experience in greater comfort for extended hours, while the detachable design makes the headset easy to clean.

When you’re gaming with the headset, you’ll find built-in Bluetooth and Inside-Out Position tracking features, along with an easy plug-in setup with a compatible PC – you can jump into MR from just about anywhere. It also comes with pre-paired controllers, so you can start playing right out of the box.

With precision 6 Degrees Of Freedom (6DOF) tracking, you can indulge in richer mixed reality experiences. The 6DOF controller can detect your every move and distance traveled inside your MR world, responding quickly to the slightest motion, ensuring your gameplay movements are more natural, and significantly reducing any dizziness from in-game motion.

The Samsung HMD Odyssey+ will be available in the U.S. starting Oct. 22 at the Microsoft Store and Samsung.com, and will be soon available in other regions including Korea, China, Hong Kong and Brazil.

It will also be on showcase at Unite Los Angeles at the Microsoft booth 309-310 from Oct. 23 – 25.

For more information about the Samsung HMD Odyssey+ visit: www.samsung.com.

[1] Samsung Anti-SDE AMOLED Display solves SDE by applying a grid that diffuses light coming from each pixel and replicating the picture to areas around each pixel. This makes the spaces between pixels near impossible to see. In result, your eyes perceive the diffused light as part of the visual content, with a perceived PPI of 1,233PPI, double that of the already high 616PPI of the previous generation Samsung HMD Odyssey+.

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Microsoft Showcase Schools for 2019 announced

At Microsoft, we believe in the potential of every student. We believe educators deserve more time to teach. And we believe with the right tools, everything is possible.

The schools nominated for our Showcase School program exemplify these beliefs by implementing innovative practices throughout their leadership, teaching, and learning. These beliefs also extend into the development of their environments and technology choices. It is with both awe and inspiration that we welcome 290 Showcase Schools to the 2018 Showcase School program. We also pause to recognize some of the world’s most innovative School Leaders, from 61 countries this year, and their groundwork on increased student outcomes and educator/leader development in this diverse set of schools.

Each one of these schools demonstrated increased student outcomes. Their diverse practices saw educators offering free professional development – even to peers outside their own schools – and classrooms using Minecraft to empower students to solve real-world problems. They led by example and we are proud that their leaders select Microsoft solutions to enable increased student outcomes and greater educational transformation success, school-wide.

Students from Madoulides Schools, Showcase School located in Greece.

Showcase Schools are characterized by thoughtful leaders who empower educators and students to re-imagine and re-design leading, teaching and learning in their schools and regions. These leaders also come together as a group to tackle challenges, celebrate successes and share their learnings in a vibrant online community, available exclusively to Showcase School Leaders in Microsoft Teams. They are committed to developing their own strengths as leader-learners and work together to learn about global trends in education and test new solutions locally, adjusting to meet the specific needs of their own communities.

Each year, Microsoft Showcase School Leaders and the Microsoft Innovative Educator Experts in their schools share best practices online, through the Microsoft Educator Community and Skype in the Classroom, as well as in-person at local events, hosted by each Showcase School and global events such as BETT, UK.

While reaching out to their local communities, or reaching within to empower educator and student outcomes in their own schools, Showcase Schools also:

  • Provide Microsoft engineers with valuable insights and ideas, in an effort to evolve technology and improve teaching and learning practices based on classroom experience;
  • Gain access to professional and career development opportunities and certifications;
  • Host regional events showcasing their use of Microsoft solutions

The impact of Showcase School excellence is felt globally, as these schools support their local communities by providing the opportunity to experience tomorrow’s transformation, today.

Thank you, Showcase School Leaders, for all the work your educator teams and you do to transform education, one school at a time.

Welcome to the Microsoft Showcase School community.

Take a video tour of MRSM Tun Mohammad Fuad Stephens Sandakan School, featured below.

[embedded content]

Find a Showcase School near you.

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How Microsoft got into edge computing and real-time video analytics

I vividly remember October 29, 2008. I had invited colleagues from academia and industry to Building 99, home of Microsoft Research, for a daylong meeting to discuss the future of mobile and cloud computing. My friends flew to Redmond, Washington, from different parts of the world, and together in one of the conference rooms, we brainstormed ideas, using the whiteboard to design new cloud architectures, write down problems, and explore challenges. Eventually, we came up with a new computing paradigm that is now popularly known as edge computing. We called our edge nodes cloudlets.

Fast-forward 10 years, and we find ourselves in a world where edge computing is a major technology trend that is being embraced by cloud providers and most major telecommunications companies. Looking back, I am proud that we got many things right. For example, we were spot-on with the fundamentals. We devised an architecture that reduces latency to a compute infrastructure, decreases the need for large amounts of expensive network bandwidth to the cloud, and enables mission-critical operations to continue even when the network to the cloud is down. All this was right on the mark.

Joining me at that meeting were Ramón Cáceres (AT&T Labs), Nigel Davies (Lancaster University, U.K.), Mahadev Satyanarayanan (Carnegie Mellon University), and Roy Want (Intel Research). The five of us had been working in mobile computing, so naturally, we focused on devices such as smartphones, augmented reality/virtual reality headsets, and wearable computers. We did not discuss sensor networking or cyber-physical systems, which have recently emerged as the Internet of Things (IoT).

The case for edge computing

I had the opportunity to make the case for edge computing to the senior leadership team of Microsoft — including our CEO at the time, Steve Ballmer — twice. The first time was in December 2010. At the end of the presentation, Steve asked me which current application I would move to edge computing.

I had been thinking about future applications such as AR/VR and hadn’t deeply thought about existing applications, so I awkwardly answered, “Speaker and command recognition.” An executive vice president whose team was working on this challenge was in attendance, and he disagreed. Although I had built and demonstrated a small prototype of such a system (think Skype Translator) at the 2009 Microsoft Research Faculty Summit, I hadn’t thought about how we would instantiate such an application at scale. Needless to say, my answer could have been better.

My research team and I continued working on edge computing, and in January 2014, I presented to the senior leadership team again. This time, I told them about micro datacenters, a small set of servers placed on premises to do what the cloud did; essentially, today’s equivalent of Microsoft Azure Stack. I demonstrated several scenarios in which the virtues of micro datacenters were irrefutable: real-time vision analytics with associated action, energy saving in mobile devices, and single-shooter interactive cloud gaming. This time, it worked. In a booming voice, Steve — who was still our CEO — said, “Let’s do this.”

The green light was followed by a series of meetings with Microsoft distinguished engineers and technical fellows to discuss the rollout of edge computing, and through these meetings, it became increasingly clear that one question remained unanswered: What compelling real-world applications could not thrive without edge computing? Remember, Microsoft was rapidly building mega-datacenters around the world, on a path to 30-millisecond latency for most people on the planet with wired networking, and IoT had not yet emerged as a top-level scenario. So, which high-demand applications could edge computing take to the next level that cloud computing couldn’t?

The need for a killer app

We had to come up with a killer app. Around the same time as these meetings, I took a sabbatical, with stops in London and Paris. While there, I noticed the proliferation of cameras on city streets. Instinctively, I knew that people were not looking at every livestream from these cameras; there were simply too many. According to some reports, there were tens of millions of cameras in major cities. So how were they being used? I imagined every time there was an incident, authorities would have to go to the stored video stream to find the recording that had captured the event and then analyze it. Instead, why not have computers analyze these streams in real-time and generate a workflow whenever an anomaly was detected? Computers are good at such things.

For this to work, we would need cloud-like compute resources, and they would have to be close to the cameras because the system would have to analyze large quantities of data quickly. Furthermore, the cost of streaming every video stream to the cloud could be prohibitive, plus add to it the expense of renting GPUs in the cloud to process each of these streams. This was the perfect scenario — the killer app for edge computing — and it would solve a compelling real-world, large-scale problem.

In the years that followed, we worked diligently on edge-based real-time video analytics, publishing several papers in top conferences. We even deployed a system in Bellevue, Washington, for traffic analysis, accident prevention, and congestion control as part of the city’s Vision Zero program. This brings me to our paper being presented at the third Association for Computing Machinery/IEEE Symposium on Edge Computing (SEC) October 25–27 in Bellevue. The work represents another step in our journey to nail the live video analytics challenge using edge computing.

Best tradeoff between multiple resources and accuracy

In our paper “VideoEdge: Processing Camera Streams using Hierarchical Clusters,” we describe how a query made to our system is automatically partitioned so some portions of it run on edge computing clusters (think micro datacenter) and some in the cloud. In deciding what to execute where, we recognize and plan for multiple different queries that may be issued to our system concurrently. As they execute on the same infrastructure, we try not to repeat any processing. The objective is to run the maximum number of queries on the available compute resources while guaranteeing expected accuracy. This is a challenging task because we have to consider both the network and compute demands, the constraints in the hierarchical cluster, and the various tunable parameters. This creates an exponentially large search space for plans, placements, and merging.

In VideoEdge, we identify the best tradeoff between multiple resources and accuracy, thus narrowing the search space by identifying a small band of promising configurations. We also balance the resource benefits and accuracy penalty of merging queries. The results are good. We are able to improve accuracy by as much as 25 times compared to state-of-the-art techniques such as fair allocation. VideoEdge builds on a substantial body of research results we have generated since early 2014 on real-time video analytics.

IoT embraces edge computing

A few years after we began researching video analytics, IoT emerged, as thought leaders in different industries such as manufacturing, health care, automobile, and retail started focusing on using information technology to increase efficiencies in their systems. They understood automation combined with artificial intelligence, made possible with IoT, could lower operating costs and increase productivity. The key ingredient was sensing, processing, and actuation in real time.

For this to work, the time between sensing and processing and between processing and actuation had to be negligible. While processing could be done in the cloud, the latency to it was relatively high, the network to it was expensive, and IoT systems had to survive disconnections from it. Enter edge computing — it was the perfect solution for such scenarios. Recognizing this, Microsoft has committed more resources to the combined technology, announcing in April a sizable investment in IoT and edge computing.

While we began 10 years ago, I believe the most interesting portion of our journey is just starting. Simply search for the term “edge computing,” and you will see how much has been written about this topic both in industry and academia. And SEC 2018, for which I have the honor of serving as program co-chair, is further proof of the excitement surrounding this emerging computing paradigm. The papers feature many different topics, ranging from data security and integrity to machine learning at the edge, specialized hardware for edge computing, 5G edge, programming models, and deployment on drones, automobiles, the retail space, and factory floors. As we continue to build new products and learn, we uncover new challenges that engineers and researchers love to solve, and as our platform matures, we will see the creation of a new generation of applications.

In my experience, I have found it takes on average seven years for a new technology to go from research lab to real world. In 2013, I made a prediction that edge computing will be everywhere by 2020. I continue to believe this is going to happen. My colleagues and I believe that together we are entering the best part of this journey.

In a keynote address at the 2013 IEEE International Conference on Cloud Networking (IEEE CloudNet), Victor Bahl presented the above slide and predicted edge computing will be everywhere by 2020, a statement he stands by today.

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Putting data and AI at the center of financial services transformation

The financial services industry is at an inflection point. Fintechs and challengers are entering rapidly as regulatory requirements are increasing. Consumers are expecting highly personalized experiences while security threats are evolving. The challenges for banks, insurers, payments tech providers and others are mounting high.

Transforming these challenges into business opportunities is an imperative for financial services firms and central to success. Many ambitious digital leaders are already discussing their transformation journey, or are well on the way. As a result, our teams are having new conversations, from ‘how can new cloud-enabled business models keep me competitive?’ to ‘help me optimize my data estate’ to ‘prove to me you’re a trusted partner who won’t undercut my business’.

At Microsoft, we’re at the intersection of these conversations in the financial services industry. We are laser-focused on building the best cloud for business, helping financial firms big and small enable intelligent industry transformation with data and artificial intelligence (AI). We’re doing so knowing that security, resiliency and regulatory compliance are vital, and we’re constantly thinking about how we can help institutions make the transition to modern innovations while still taking advantage of legacy investments.

With this in mind, I’d like to share Microsoft technology, partner solutions and industry contributions designed to help financial services businesses compete, innovate and succeed in the future. Here at Sibos 2018 in Sydney, Australia, and at the upcoming Money2020 in Las Vegas, Nevada, we will be on the ground showcasing this work and discussing how putting data and AI at the center of transformation is a formula for success.

New partnerships with the industry’s digital leaders

Building the leading cloud for financial services does not happen in a vacuum. We are proud to work side-by-side with transformational industry leaders who tell us the Microsoft business model aligns to their future. We are in the business of partnership and empowerment, not in the business of disintermediating financial services firms from their customers. This type of partnership is cleanly aligned to our company mission and something we stand by firmly.

Microsoft has announced a collaboration with SWIFT, the leader in secure financial messaging services. Together, we’re proving out a Microsoft Azure cloud-based solution for payments transfers conducted on the SWIFT network. Our intent is to enable the deployment of familiar SWIFT messaging solutions in the cloud, enabling faster, more cost effective, efficient and secure operations for banks, corporates and ecosystem technology providers.

Microsoft is also working with Interswitch, an impressive startup in West Africa. Interswitch is working with banks like GT and Zenith to bridge the supply chain financing gap between an existing corporate-focused infrastructure and a small entrepreneurial economy emerging in the region. Partnering with large banks and corporates in Nigeria, Interswitch has built a bank guarantee service on Azure that extends the reach of the banking system to non-traditional players, empowering bank lenders, corporate suppliers, and borrowers of all sizes to manage their supply-chain financing under objective terms and complete transparency.

New innovations for a data- and AI-powered future

The Microsoft Cloud – including Dynamics 365, Azure and Microsoft 365 – is already home to modern technology that industry-leading firms use to power their business today, including real-time payments infrastructure, seamless customer experience apps, risk management grids and fraud prevention tech. With more than $1 billion invested per year in security, a growing industry-leading data center footprint and an unmatched cloud regulatory compliance portfolio, we are fully vested in the financial services industry’s future.

Underscored by these investments, recent innovation across the Microsoft Cloud portfolio aims to make our platforms even more secure, efficient and intelligent, so together we unlock the power of data and AI for success.

  • Customer Lockbox for Microsoft Azure: Customer Lockbox for Microsoft Azure helps customers control and audit a Microsoft support engineer’s access to compute workloads on Azure that may contain customer data while resolving a support issue. Microsoft support does not have standing access to service operations. In some rare scenarios, to resolve a support issue, just-in-time access with limited and time bound authorization can be provided to Microsoft support engineers. Customer Lockbox helps ensure that Microsoft support engineers do not access customers’ content in the Azure portal without the customer’s explicit approval. It also helps improve the existing support ticket workflow by expediting the customer’s approval process. This capability enables customers to have more granular control, better visibility and enhanced audit over Microsoft’s support process.
  • Azure Confidential Computing: Azure Confidential Computing offers the possibility to keep data safe by isolating it while it is processed – a common method of data theft. Azure is the first cloud service to provide a secure platform for protecting the confidentiality and integrity of data in use using trusted execution environments (TEEs), and we’re rolling out a new family of virtual machines to ensure confidential computing is available to all Azure customers.
  • Microsoft Compliance Manager: Compliance Manager is a workflow-based risk assessment tool designed to help manage regulatory compliance within the shared responsibility model of the cloud. Compliance Manager provides a dashboard view of standards and regulations and assessments that enables organizations to track, assign and verify regulatory compliance activities related to Microsoft Professional Services and Microsoft cloud services, such as Microsoft Office 365, Microsoft Dynamics 365 and Microsoft Azure.
  • Microsoft Proposal Manager: Proposal Manager is a solution built on top of the Microsoft 365 platform that takes advantage of its advanced features and functions, together with custom apps, to deliver a streamlined corporate lending loan origination process. With Proposal Manager, corporate banks can easily streamline and automate the corporate lending process, create more effective proposals, and collaborate across the enterprise confidentially – all while taking advantage of the familiar, connected, accessible and intelligent experience in Microsoft 365.
  • AI in Excel: Excel is a powerful tool used by business leaders today. New AI-powered improvements in data handling and performance are making Excel even more valuable. New capabilities like Ideas, new data types, Insert Data from Picture and dynamics arrays are examples of how Microsoft is bringing AI into the tools business leaders use every day.

Bringing the leading ecosystem solutions to Microsoft platforms

The financial services technology landscape is an ecosystem of innovative players. Solution providers that are core to many financial institutions today are also enabling intelligent industry transformation with data and AI, and they’re choosing Microsoft platforms to power their technologies. These solutions are helping firms do things like grow retail banking business with next-best-action software, spot and fight financial crime with regtech, and improve customer relationships with multichannel customer experience solutions.

Today, our breadth of intelligent partner solutions is growing with new real-time payments infrastructure and blockchain-based trade finance tools, among existing tools for security, productivity and process optimization.

  • Volante: Volante’s well established VolPay Suite of payments processing products, today launched VolPay-as-a-Service on Azure with its first customer bank. The service provides banks with a managed service for end-to-end processing payments in the cloud, from capture through clearing. FIMBank Malta will be the first bank worldwide to deploy Volante’s Volpay-as-a-Service, an important step forward for cloud-based payments infrastructure.
  • TradeIX: TradeIXand R3 are working with 11 global banks to automate trade finance products under the Marco Polo initiative, which focuses on receivables discounting and payment commitments supported by blockchain-based software, Corda. For corporates looking to collateralize receivables, the process of submitting and financing invoices requires tremendous manual effort and reconciliation across counterparties. With Marco Polo and Microsoft Dynamics 365 Finance and Operations, corporates can automate and attest receivables in real time and banks can apply their rules and eligibility logic, providing all parties with an accurate view of present and future cash flow.

Meet us at Sibos and Money2020

It’s an exciting time to sit at the intersection of technology and financial services, and to think about what’s possible in the future. It’s humbling to be on this transformational journey with so many ambitious digital leaders. We welcome you to visit us at booth No. A30 if you’re in Sydney, or at our sessions at Money2020 in Las Vegas to meet our team.

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Microsoft shuts down phishing sites, accuses Russia of new election meddling

Russian President Vladimir Putin speaking at a forum.
Enlarge / Russian President Vladimir Putin speaks during the Moscow Urban Forum 2018 on July 18, 2018 in Moscow, Russia.
Getty Images | Mikhail Svetlov

Russia has denied any knowledge of a spear phishing attempt that allegedly mimicked the domains of the US Senate and two US-based think tanks.

Russia’s denial came after Microsoft said it detected and shut down the campaign.

“Last week, Microsoft’s Digital Crimes Unit (DCU) successfully executed a court order to disrupt and transfer control of six Internet domains created by a group widely associated with the Russian government and known as Strontium, or alternatively Fancy Bear or APT28,” Microsoft Chief Legal Officer Brad Smith wrote in Microsoft’s announcement Monday. “We have now used this approach 12 times in two years to shut down 84 fake websites associated with this group.”

The domains were apparently meant to mimic those of the International Republican Institute, the Hudson Institute, and US Senate systems. “Attackers want their attacks to look as realistic as possible and they therefore create websites and URLs that look like sites their targeted victims would expect to receive email from or visit,” Microsoft said.

Spear phishing attacks are designed to trick specific people into divulging login credentials or into clicking on malicious links.

Microsoft is “concerned that these and other attempts pose security threats to a broadening array of groups connected with both American political parties in the run-up to the 2018 elections,” Smith wrote.

A Kremlin spokesperson denied any knowledge of the alleged spear-phishing campaign.

“We don’t know which hackers they are talking about, we don’t know what is meant about the impact on elections,” Kremlin spokesperson Dmitry Peskov told CNN. “From the US, we hear that there was not any meddling in the elections. Whom exactly they are talking about, what is the proof, and on what grounds are they reaching such conclusions?”

“We don’t understand, and there is no information, so we treat such allegations accordingly,” Peskov also said.

An unnamed Russian diplomatic source who spoke to Russian news agency Interfax accused Microsoft of “playing political games,” according to Reuters.

Microsoft previously said that earlier this year, it detected and shut down a fake Microsoft domain that was set up by Russian actors as a landing page for phishing attacks against political candidates.

“Pattern mirrors… 2016 election”

The apparent spear phishing attempt announced this week seems to be part of “continued activity targeting… elected officials, politicians, political groups, and think tanks across the political spectrum in the United States,” Microsoft said. “Taken together, this pattern mirrors the type of activity we saw prior to the 2016 election in the United States and the 2017 election in France.”

The six domains that Microsoft took control of were my-iri.org, hudsonorg-my-sharepoint.com, senate.group, adfs-senate.services, adfs-senate.email, and office365-onedrive.com.

Microsoft said it is still trying to determine “what Strontium intended to do with the domains.” Microsoft continued:

Importantly, these domains show a broadening of entities targeted by Strontium’s activities. One appears to mimic the domain of the International Republican Institute, which promotes democratic principles and is led by a notable board of directors, including six Republican senators and a leading senatorial candidate. Another is similar to the domain used by the Hudson Institute, which hosts prominent discussions on topics including cybersecurity, among other important activities. Other domains appear to reference the US Senate but are not specific to particular offices. To be clear, we currently have no evidence these domains were used in any successful attacks before the DCU transferred control of them, nor do we have evidence to indicate the identity of the ultimate targets of any planned attack involving these domains.

International Republican Institute President Daniel Twining said Microsoft’s findings are evidence of Russian meddling.

“This apparent spear phishing attempt against the International Republican Institute and other organizations is consistent with the campaign of meddling that the Kremlin has waged against organizations that support democracy and human rights,” Twining told The Washington Post. “It is clearly designed to sow confusion, conflict, and fear among those who criticize Mr. Putin’s authoritarian regime.”

Microsoft said it is working with the International Republican Institute, Hudson Institute, and other targeted organizations on countering threats to their systems. “We’ve also been monitoring and addressing domain activity with Senate IT staff the past several months, following prior attacks we detected on the staffs of two current senators,” Smith wrote.

Microsoft also said it is offering a new security service to political campaign organizations and to all candidates for federal, state, and local elected offices. The service, AccountGuard, is available at no extra charge to “candidates, campaigns, and related political institutions” that use Office 365, Microsoft said.

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Microsoft’s anti-hacking efforts make it an internet cop

Intentionally or not, Microsoft has emerged as a kind of internet cop by devoting considerable resources to thwarting Russian hackers.

The company’s announcement Tuesday that it had identified and forced the removal of fake internet domains mimicking conservative U.S. political institutions triggered alarm on Capitol Hill and led Russian officials to accuse the company of participating in an anti-Russian “witch hunt.”

Microsoft stands virtually alone among tech companies with an aggressive approach that uses U.S. courts to fight computer fraud and seize hacked websites back. In the process, it has acted more like a government detective than a global software giant.

In the case this week, the company did not just accidentally stumble onto a couple of harmless spoof websites. It seized the latest beachhead in an ongoing struggle against Russian hackers who meddled in the 2016 presidential election and a broader, decade-long legal fight to protect Microsoft customers from cybercrime.

“What we’re seeing in the last couple of months appears to be an uptick in activity,” Brad Smith, Microsoft’s president and chief legal officer, said in an interview this week. Microsoft says it caught these particular sites early and that there’s no evidence they were used in hacking.

Republicans and Democratic lawmakers react to Microsoft findings saying a group tied to the Russian government created fake websites to spoof two American conservative organizations., and the U.S. Senate website. (Aug. 21)

The Redmond, Washington, company sued the hacking group best known as Fancy Bear in August 2016, saying it was breaking into Microsoft accounts and computer networks and stealing highly sensitive information from customers. The group, Microsoft said, would send “spear-phishing” emails that linked to realistic-looking fake websites in hopes targeted victims — including political and military figures — would click and betray their credentials.

The effort is not just a question of fighting computer fraud but of protecting trademarks and copyright, the company argues.

One email introduced as court evidence in 2016 showed a photo of a mushroom cloud and a link to an article about how Russia-U.S. tensions could trigger World War III. Clicking on the link might expose a user’s computer to infection, hidden spyware or data theft.

An indictment from U.S. special counsel Robert Mueller has tied Fancy Bear to Russia’s main intelligence agency, known as the GRU, and to the 2016 email hacking of both the Democratic National Committee and Democrat Hillary Clinton’s presidential campaign.

Some security experts were skeptical about the publicity surrounding Microsoft’s announcement, worried that it was an overblown reaction to routine surveillance of political organizations — potential cyberespionage honey pots— that never rose to the level of an actual hack.

The company also used its discovery as an opportunity to announce its new free security service to protect U.S. candidates, campaigns and political organizations ahead of the midterm elections.

But Maurice Turner, a senior technologist at the industry-backed Center for Democracy and Technology, said Microsoft is wholly justified in its approach to identifying and publicizing online dangers.

“Microsoft is really setting the standards with how public and how detailed they are with reporting out their actions,” Turner said.

Companies including Microsoft, Google and Amazon are uniquely positioned to do this because their infrastructure and customers are affected. Turner said they “are defending their own hardware and their own software and to some extent defending their own customers.”

Turner said he has not seen anyone in the industry as “out in front and open about” these issues as Microsoft.

As industry leaders, Microsoft’s Windows operating systems had long been prime targets for viruses when in 2008 the company formed its Digital Crimes Unit, an international team of attorneys, investigators and data scientists. The unit became known earlier in this decade for taking down botnets, collections of compromised computers used as tools for financial crimes and denial-of-service attacks that overwhelm their targets with junk data.

Richard Boscovich, a former federal prosecutor and a senior attorney in Microsoft’s digital crimes unit, testified to the Senate in 2014 about how Microsoft used civil litigation as a tactic. Boscovich is also involved in the fight against Fancy Bear, which Microsoft calls Strontium, according to court filings.

To attack botnets, Microsoft would take its fight to courts, suing on the basis of the federal Computer Fraud and Abuse Act and other laws and asking judges for permission to sever the networks’ command-and-control structures.

“Once the court grants permission and Microsoft severs the connection between a cybercriminal and an infected computer, traffic generated by infected computers is either disabled or routed to domains controlled by Microsoft,” Boscovich said in 2014.

He said the process of taking over the accounts, known as “sinkholing,” enabled Microsoft to collect valuable evidence and intelligence used to assist victims.

In the latest action against Fancy Bear, a court order filed Monday allowed Microsoft to seize six new domains, which the company said were either registered or used at some point after April 20.

Smith said this week the company is still investigating how the newly discovered domains might have been used.

A security firm, Trend Micro, identified some of the same fake domains earlier this year. They mimicked U.S. Senate websites, while using standard Microsoft log-in graphics that made them appear legitimate, said Mark Nunnikhoven, Trend Micro’s vice president of cloud research.

Microsoft has good reason to take them down, Nunnikhoven said, because they can hurt its brand reputation. But the efforts also fit into a broader tech industry mission to make the internet safer.

“If consumers are not comfortable and don’t feel safe using digital products,” they will be less likely to use them, Nunnikhoven said.

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Associated Press Technology Writer Frank Bajak in Boston contributed to this report.