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Tag: technology

  • Salesforce CEO: COVID Vaccine Is Biggest Technology Challenge In History

    Salesforce CEO: COVID Vaccine Is Biggest Technology Challenge In History

    “We have hundreds of new vaccines coming for COVID,” says Salesforce CEO Marc Benioff. “It will be one of the biggest logistical and technology challenges really in the history of the planet. Salesforce is building and delivering now our new Work.com for vaccines. we’re going to rapidly have to be able to determine the wheat from the chaff so that we can have the best vaccines possible. Technology is the key to doing that.”

    Marc Benioff, CEO of Salesforce, discusses their new Work.com platform for vaccines which utilizes technology to successfully battle the COVID pandemic:

    COVID Vaccine Is Biggest Technology Challenge In History

    I hope you got your flu shot. Obviously, the flu shot is a vaccine also. We, of course, have COVID vaccines coming. We are in a situation right now where vaccinations are one of the most important things we can do for public health. We all know that. We have hundreds of new vaccines coming for COVID. It will be one of the biggest logistical and technology challenges really in the history of the planet.

    Salesforce is building and delivering now our new Work.com for vaccines. We are extending our super successful Work.com product which has helped so many states, nation-states, and companies succeed during the pandemic. We’re going to make sure this vaccination program is a major success as well.

    Technology Is The Key To Determining Best Vaccines

    You can already look at amazing organizations here in the United States, states like Texas, cities like Chicago, and many others that we work with for contact tracing. They’re already starting to deploy our vaccination program. This means that they have the ability to manage all the information associated with the vaccine, who’s received the vaccine, and how many vaccinations they’ve had.

    Some of these vaccines are going to require multiple boosters. The efficacy of the vaccine. The ability to have the person who’s received the vaccine to self-report. Every vaccine is not going to be the highest of quality. There are going to be an assortment and we’re going to rapidly have to be able to determine the wheat from the chaff so that we can have the best vaccines possible. Technology is the key to doing that.

    Salesforce CEO Marc Benioff: COVID Vaccine Is Biggest Technology Challenge In History
  • Microsoft Unlocks Power Of 5G For Telecommunications

    Microsoft Unlocks Power Of 5G For Telecommunications

    “Today starts a new chapter in our close collaboration with the telecommunications industry to unlock the power of 5G and bring cloud and edge closer than ever,” said Microsoft Azure Executive Vice President Jason Zander in a blog announcement. “We’re building a carrier-grade cloud and bringing more Microsoft technology to the operator’s edge. This, in combination with our developer ecosystem, will help operators to future proof their networks, drive down costs, and create new services and business models.”

    Jason Zander, Executive Vice President, Microsoft Azure, announces new collaborations with the telecommunications industry that will unlock the power of 5G and bring cloud and edge closer than ever:

    The increasing demand for always-on connectivity, immersive experiences, secure collaboration, and remote human relationships is pushing networks to their limits, while the market is driving down price. The network infrastructure must ensure operators are able to optimize costs and gain efficiencies, while enabling the development of personalized and differentiated services. To address the requirements of rolling out 5G, operators will face strong challenges, including high capital expenditure (CapEx) investments, an increased need for scale, automation, and secure management of the massive volume of data it will generate.

    Today starts a new chapter in our close collaboration with the telecommunications industry to unlock the power of 5G and bring cloud and edge closer than ever. We’re building a carrier-grade cloud and bringing more Microsoft technology to the operator’s edge. This, in combination with our developer ecosystem, will help operators to future proof their networks, drive down costs, and create new services and business models.

    In Microsoft, operators get a trusted partner who will empower them to unlock the potential of 5G. Enabling them to offer a range of new services such as ultra-reliable low-latency connectivity, mixed reality communications services, network slicing, and highly scalable IoT applications to transform entire industries and communities.

    By harnessing the power of Microsoft Azure, on their edge, or in the cloud, operators can transition to a more flexible and scalable model, drive down infrastructure cost, use AI and machine learning (ML) to automate operations and create service differentiation. Furthermore, a hybrid and hyper-scale infrastructure will provide operators with the agility they need to rapidly innovate and experiment with new 5G services on a programmable network.

    More specifically, we will further support operators as they evolve their infrastructure and operations using technologies such as software-defined networking, network function virtualization, and service-based architectures. We are bringing to market a carrier-grade platform for edge and cloud to support the operator’s goals to future proof their infrastructure with disaggregated, and containerized network architectures. Recognizing that not everything will move to the public cloud, we will meet operators where they are—whether at the enterprise edge, the network edge, or in the cloud.

    Our approach is built on the acquisitions of industry leaders in cloud-native network functions—Affirmed Networks and Metaswitch and on the development of Azure Edge Zones. By bringing together hundreds of engineers with deep experience in the telecommunications space, we are ensuring that our product development process is catering to the most relevant networking needs of the operators. We will leverage the strengths of Microsoft to extend and enhance the current capabilities of industry-leading products such as Affirmed’s 5G core and Metaswitch’s UC portfolio. These capabilities, combined with Microsoft’s broad developer ecosystem and deep business to business partnership programs, provide Microsoft with a unique ability to support the operators as they seek to monetize the capabilities of their networks.

    Your customer, your service, powered by our technology

    As we build out our partnerships with different operators, it is clear to us that there will be different approaches to technology adoption based on business needs. Some operators may choose to adopt the Azure platform and select a varied mix of virtualized or containerized network function providers. We also have operators that have requested complete end-to-end services as components for their offers. As a part of these discussions, many operators have identified points of control that are important to them, for example:

    • Control over where a slice, network API, or function is presented to the customer.
    • Definition of where and how traffic enters and exits their network.
    • Visibility and control over where key functions are executed for a given customer scenario.
    • Configuration and performance parameters of core network functions.

    As we build out Azure for Operators, we recognize the importance of ensuring operators have the control and visibility they require to manage their unique industry requirements. To that end, here is how our assets come together to provide operators with the platform they need.

    Communication Service Providers

    Interconnect

    It starts with the ability to interconnect deeply with the operator’s network around the globe. We have one of the largest networks that connect with operators at more than 170 points of presence and over 20,000 peering connections around the globe, putting direct connectivity within 25 miles of 85 percent of the world’s GDP. More than 200 operators have already chosen to integrate with the Azure network through our ExpressRoute service, enabling enterprises and partners to link their corporate networks privately and securely to Azure services. We also provide additional routes to connect to the service through options as varied as satellite connectivity and TV White Space spectrum.

    Edge platform

    This reach helps us to supply operators with cloud computing options that meet the customer wherever those capabilities are needed: at the enterprise edge, the network edge, the network core, or in the cloud. The various form factors, optimized to support the location in which they are deployed, are supported by the Azure platform—providing virtual machine and container services with a common management framework, DevOps support, and security control.

    Network functions

    We believe in an open platform that leverages the strengths of our partners. Our solutions are a combination of virtualized and containerized services as composable functions, developed by us and by our Network Equipment Provider partners, to support operators’ services such as the Radio Access Network, Mobile Packet Core, Voice and Interconnect services, and other network functions.

    Technology from Affirmed and Metaswitch Networks will provide services for Mobile Packet Core, Voice, and Interconnect services.

    Cloud solutions and Azure IoT for operators

    By exposing these services through the Azure platform, we can combine them with other Azure capabilities such as Azure Cognitive Services (used by more than 1 million developers processing more than 10 billion transaction per day), Azure Machine Learning, and Azure IoT, to bring the power of AI and automation to the delivery of network services. These capabilities, in concert with our partnerships with OSS and BSS providers, enables us to help operators streamline and simplify operations, create new services to monetize the network, and gain greater insights into customer behavior.

    In IoT our primary focus is simplifying our solutions to accelerate what we can do together from the edge to the cloud. We’ve done so by creating a platform that provides simple and secure provisioning of applications and devices to Azure cloud solutions through Azure IoT Central, which is the fastest and easiest way to build IoT solutions at scale. IoT Central enables customers to provision an IoT app in seconds, customize it in hours, and go to production the same day. IoT Plug and Play dramatically simplifies all aspects of IoT device support and provides devices that “just work” with any solution and is the perfect complement to achieve speed and simplicity through IoT Central. Azure IoT Central also gives the Mobile Operator the opportunity to monetize more of the IoT solution and puts them in a position to be a re-seller of the IoT Central application platform through their own solutions. Learn more about using Azure IoT for operators here.

    Cellular connectivity is increasingly important for IoT solutions and represents a vast and generational shift for mobile operators as the share of devices in market shifts towards the enterprise. We will continue our deep partnership with operators to enable fast and efficient app development and deployment, which is critical to success at the edge. This will help support scenarios such as asset tracking across industries, manufacturing and distribution of smart products, and responsive supply chains. It will also help support scenarios where things are geographically dispersed, such as smart city automation, utility monitoring, and precision agriculture.

    Where we go next

    Our early engagement with partners such as Telstra and Etisalat helped us shape this path. We joined the 5G Open Innovation Lab as the founding public cloud partner to accelerate enterprise startups and launch new innovations to foster new 5G use cases with even greater access to leading-edge networks. The Lab will create long-term, sustainable developer and commercial ecosystems that will accelerate the delivery of exciting new capabilities at the edge, including pervasive IoT intelligence and immersive mixed reality. And this is just the beginning. I invite you to learn more about our solutions and watch the series of videos we have curated for you.

  • Intel Study Predicts What Technology Will Look Like in 50 Years

    Intel Study Predicts What Technology Will Look Like in 50 Years

    Intel recently released the Intel Next 50 Study which surveyed people on what they think technology will look like in the next 50 years. David Shaw, in Developer Relations at Intel and is part of the Intel Delta Force team explains:

    What do you think technology will look like in the next 50 years? Maybe we’ll all be driving flying cars. Maybe there’ll be sentient robots. Okay, That might sound a little bit out there, but Intel recently conducted a study to find out what people are most excited about regarding the future of technology.

    Intel’s Next 50 project aims to help researchers understand current attitudes towards technology and its role in day-to-day activities. It tries to paint a cohesive picture of what people think about technology and to identify key areas of excitement and concern.

    For starters, over 80 percent of people believe that smartphones NPCs will continue to be important in 50 years:

    But we can’t agree on everything. People are split on whether technology will bring them closer together or further apart from friends and family:

    People also have mixed views of artificial intelligence. Over one-third of those surveyed don’t believe they use AI today. This might sound a little uncertain but research has shown that there’s still a great deal of excitement around the future:

    According to the study, people express the most excitement towards familiar established technologies like computers and smartphones. The excitement even carried over to things like smart homes of which AI is a key building block:

    In particular, parents tend to be more excited about AI research which shows that this group is more likely than consumers overall to look to AI to increase their quality of life by automating everyday tasks:

    It doesn’t stop there either. Interestingly, they are also more trustful of artificial intelligence devices and according to the study tend to look forward to technologies predicting their needs:

    The study gives good insight into how people feel towards technology and it might give you the lead on what to create next, with Intel technology, of course. 

  • Microsoft Updates “A Cloud for Global Good” Doc – Hoping to Build a More Trusted and Inclusive cloud

    Microsoft Updates “A Cloud for Global Good” Doc – Hoping to Build a More Trusted and Inclusive cloud

    Microsoft today released a 2018 version of “A Cloud for Global Good” this morning. “The beginning of a new year offers an opportunity to reflect on the past and look forward to the future,” stated Brad Smith, Microsoft President and Chief Legal Officer in a blog post.

    Smith adds, “It’s in this spirit that today we are releasing an updated A Cloud for Global Good, a policy road map for governments, industry and civil society to consider as they realize the opportunities and address the challenges presented by the Fourth Industrial Revolution. This new version, which updates the edition we released in October 2016, reflects our rapidly changing world and recent advancements in artificial intelligence, machine learning, mixed reality and other cloud-enabled technologies.”

    Microsoft continues to hope that this book of policy recommendations is used by governments and industry as a manifesto of sorts for inclusion and policy standardization for global good. “There is still much work to do if we are truly going to create a cloud for global good,” explains Smith. “It is a big responsibility for every government, every business and every technology company. It certainly is a big responsibility for Microsoft.”

    The key tenants of A Cloud for Global Good are responsibility and inclusion. The document wants governments around the world to be more responsible in the areas of human rights, public safety, technology crime, and environmentally. It also is looking to potential future issues concerning artificial intelligence. Microsoft also is promoting governments to ensure an affordable internet, retraining for those who hold potentially automated jobs, and wants projection to insure inclusion for those with disabilities.

  • The Cognitive Era is the Next Societal Revolution That Will Change the World

    The Cognitive Era is the Next Societal Revolution That Will Change the World

    “The transformational nature of artificial intelligence requires new metrics of success for our profession,” says Guru Banavar who is responsible for advancing the next generation of cognitive technologies and solutions with IBM’s global scientific ecosystem including academia, government agencies and other partners. “It is no longer enough to advance the science of AI and the engineering of AI-based systems. We now shoulder the added burden of ensuring these technologies are developed, deployed and adopted in responsible, ethical and enduring ways.”

    IBM is at the cutting edge of the practical integration of artificial intelligence into real-world solutions as evidenced by IBM Watson’s recent integration with H&R Block software to improve tax deduction possibilities for the average consumer. Now that’s something that everybody can relate to!

    Dr. Banavar recently delivered the 2017 Turing Lecture, a prestigious annual lecture co-hosted by the British Computer Society (BCS) and the Institution of Engineering and Technology (IET). ”

    “Most of the really exciting work going on in AI today is not about this at all (referring to the movie Morgan which focused on artificial general intelligence)”, noted Dr. Banavar. “It’s not about machines that look and talk and feel like humans. It’s not about machines that work like humans, but its about machines that work with humans.” He says that although this is a rather fine distinction, it’s a really important distinction.

    The Cognitive Era

    “There is a big revolution going on and in my mind is of the same magnitude of the Industrial Revolution,” says Dr. Banavar. “Every time one of these revolutions has happened we have seen tremendous changes in society, in the economy’s of the world and in all our lives. I believe we are at the beginning of yet another such revolution. I call that the Cognitive Era.”

    “I think that we as human beings are now getting overwhelmed with respect to our cognitive capabilities,” commented Dr. Banavar. “Just trying to understand all of the data around us, all of the knowledge around us and trying make the right decisions about our daily lives, about our jobs, is getting really hard. We need to augment our cognition with the cognition of machines.”

    Dr. Banavar gave the example that we all know that doctors can often be years behind the latest research and data. “What if your doctor had the benefit of a machine that could help do this kind of analysis before they make their final decision?”

    View Dr. Banavar’s lecuture in its entirety starting at the 18:10 mark:

  • IBM Watson Brings AI to H&R Block Tax Preparation

    IBM Watson Brings AI to H&R Block Tax Preparation

    IBM announced a partnership with H&R block to use their artificial intelligent platform IBM Watson to radically improve tax preparation. “Introducing the biggest advancement in tax preparation technology,” exclaimed IBM in an announcement video. “Say hello to the partnership between H&R Block and IBM Watson. Imagine being able to understand all 74,000 pages of the US tax code along with thousands of yearly tax law changes and other information, plus locks deep insights built from over 600 million data points.”

    “Imagine being able to understand all that information,” noted IBM. “Watson will learn from it and help your tax pro find every credit, deduction and opportunity available. The one of a kind partnership between H&R Block and Watson is revolutionizing the way people file taxes.”

    H&R Block is marketing the new AI integration as “the future of tax prep” as seen in their new Google ad:

    “H&R Block is revolutionizing the tax filing experience,” stated Bill Cobb, President and Chief Executive Officer of H&R Block. “By combining the human expertise, knowledge and judgement of our tax pros with the cutting edge cognitive computing power of Watson, we are creating a future where every last deduction and credit can be found.”

    “Tax preparation is a perfect use for Watson,” noted David Kenny, Senior Vice President of IBM Watson. “Just like Watson is already revolutionizing other industries like healthcare and education, here H&R Block with Watson is learning to process incredible amounts of information, helping create tailored solutions for H&R Block customers.”

    IBM expects Watson to learn through H&R Blocks millions of unique tax filings how to maximize credits and deductions for every customer, elimination inconsistencies caused by human tax preparation experts. The more information Watson receives says Kenny, the smarter Watson gets.

    “This is a major shift in how man and machine work together to help us in our everyday lives,” says Kenny.

  • Microsoft CEO: We Are Not Anywhere Close To Achieving Artificial General Intelligence

    Microsoft CEO: We Are Not Anywhere Close To Achieving Artificial General Intelligence

    Satya Nadella, CEO of Microsoft, recently was interviewed by Ludwig Siegele of The Economist about the future of AI (artificial intelligence) at the DLD in Munich, Germany where he spoke about the need to democratize the technology so that it is part of every company and every product. Here’s an excerpt transcribed from the video interview:

    What is AI?

    The way I have defined AI in simple terms is we are trying to teach machines to learn so that they can do things that humans do, but in turn help humans. It’s augmenting what we have. We’re still in the mainframe era of it.

    There has definitely been an amazing renaissance of AI and machine learning. In the last five years there’s one particular type of AI called deep neural net that has really helped us, especially with perception, our ability to hear or see. That’s all phenomenal, but if you ask are we anywhere close to what people reference, artificial general intelligence… No. The ability to do a lot of interesting things with AI, absolutely.

    The next phase to me is how can we democratize this access? Instead of worshiping the 4, 5 or 6 companies that have a lot of AI, to actually saying that AI is everywhere in all the companies we work with, every interface, every human interaction is AI powered.

    What is the current state of AI?

    If you’re modeling the world, or actually simulating the world, that’s the current state of machine learning and AI. But if you can simulate the brain and the judgements it can make and transfer learning it can exhibit… If you can go from topic to topic, from domain to domain and learn, then you will get to AGI, or artificial general intelligence. You could say we are on our march toward that.

    The fact that we are in those early stages where we are at least being able to recognize and free text, things like keeping track of things, by modeling essentially what it knows about me and my world and my work is the stage we are at.

    Explain democratization of AI?

    Sure, 100 years from now, 50 years from now, we’ll look back at this era and say there’s been some new moral philosopher who really set the stage as to how we should make those decisions. In lieu of that though one thing that we’re doing is to say that we are creating AI in our products, we are making a set of design decisions and just like with the user interface, let’s establish a set of guidelines for tasteful AI.

    The first one is, let’s build AI that augments human capability. Let us create AI that helps create more trust in technology because of security and privacy considerations. Let us create transparency in this black box. It’s a very hard technical problem, but let’s strive toward saying how do I open up the black box for inspection?

    How do we create algorithm accountability? That’s another very hard problem because I can say I created an algorithm that learns on its own so how can I be held accountable? In reality we are. How do we make sure that no unconscious bias that the designer has is somehow making it in? Those are hard challenges that we are going to go tackle along with AI creation.

    Just like quality, in the past we’ve thought about security, quality and software engineering. I think one of the things we find is that for all of our progress with AI the quality of the software stack, to be able to ensure the things we have historically ensured in software are actually pretty weak. We have to go work on that.

  • Google Using RAISR Technology on Google+ and Saving 75% in Bandwidth

    Google Using RAISR Technology on Google+ and Saving 75% in Bandwidth

    Google+ has become a haven for high end photos by professional photographers who obviously care about image quality. Google’s solution to the huge bandwidth requirements for their free service is a technology called RAISR. Lower bandwidth is also a benefit to the end user by increasing loading speeds and lowering data costs. This is especially concerning outside of the United States where it’s rare not to have to pay for internet based on data usage.

    Back in November Google introduced a machine learning technology called “RAISR: Rapid and Accurate Image Super-Resolution”, that creates high-quality versions of low-resolution images. “RAISR produces results that are comparable to or better than the currently available super-resolution methods, and does so roughly 10 to 100 times faster, allowing it to be run on a typical mobile device in real-time,” explained Peyman Milanfar, Lead Scientist at Google Research. “Furthermore, our technique is able to avoid recreating the aliasing artifacts that may exist in the lower resolution image.”

    Here’s how Google’s technical team (Yaniv Romano, John Isidoro, Peyman Milanfar) described it in June 2016:

    Given an image, we wish to produce an image of larger size with significantly more pixels and higher image quality. This is generally known as the Single Image Super-Resolution (SISR) problem. The idea is that with sufficient training data (corresponding pairs of low and high resolution images) we can learn set of filters (i.e. a mapping) that when applied to given image that is not in the training set, will produce a higher resolution version of it, where the learning is preferably low complexity. In our proposed approach, the run-time is more than one to two orders of magnitude faster than the best competing methods currently available, while producing results comparable or better than state-of-the-art.

    A closely related topic is image sharpening and contrast enhancement, i.e., improving the visual quality of a blurry image by amplifying the underlying details (a wide range of frequencies). Our approach additionally includes an extremely efficient way to produce an image that is significantly sharper than the input blurry one, without introducing artifacts such as halos and noise amplification. We illustrate how this effective sharpening algorithm, in addition to being of independent interest, can be used as a pre-processing step to induce the learning of more effective upscaling filters with built-in sharpening and contrast enhancement effect.

    “RAISR, which was introduced in November, uses machine learning to produce great quality versions of low-resolution images, allowing you to see beautiful photos as the photographers intended them to be seen,” noted John Nack, Product Manager of Digital Photography at Google. “By using RAISR to display some of the large images on Google+, we’ve been able to use up to 75 percent less bandwidth per image we’ve applied it to.”

    “While we’ve only begun to roll this out for high-resolution images when they appear in the streams of a subset of Android devices, we’re already applying RAISR to more than 1 billion images per week, reducing these users’ total bandwidth by about a third,” said Nack. “In the coming weeks we plan to roll this technology out more broadly — and we’re excited to see what further time and data savings we can offer.”

  • Government Can Speed Up Implementation of IoT Technology

    Government Can Speed Up Implementation of IoT Technology

    Government around the world play a key role in whether IoT becomes a mainstream technology sooner rather than later according to Cisco IoT expert Maciej Kranz. Kranz recently posted an excerpt of his book Building the Internet of Things on the Cisco Innovation blog.

    IoT Adoption is Key to Regional Competitiveness

    “Governments around the world are beginning to realize that IoT adoption will be one of the key factors defining the competitiveness of their cities, provinces, countries, or regions and that IoT can help solve many of the chronic problems plaguing their economies and their environments,” says Kranz. “Thus, governments at various levels have a number of key roles to play.”

    “There will be competition for bandwidth and other resources; there will be ideas that may conflict with public policy; and there will be IoT-based ideas that need to be regulated to ensure public safety and privacy,” noted Kranz. “Think drones. In these and other ways, government regulations can help direct and align the industry.”

    Kranz offered a few examples of U.S. legislations and related impact:

    • The Energy Act drove the need for energy monitoring, including smart meters.
    • The Rail Safety Improvement Act specified the requirements and the deadline (since extended) for adoption of Positive Train Control on main U.S. railways.
    • The Food Safety Modernization Act drove the requirements for IoT-based systems, including quality control and source tracking, across the food supply chain to prevent food safety issues.
    • Most recently, the Drug Quality and Security Act requires the adoption of a system to identify and trace prescription drugs.

    Kranz believes that government funding priorities may drive the future of IoT. “Through their spending power, governments can drive the focus and accelerate the adoption of IoT technologies and solutions. In aggregate, governments represent a huge global market. Their priorities, what they choose to buy, and what problems they choose to address can drive the roadmaps of IoT technology and solution providers.”

    He lists these additional government roles:

    • Supporting training and education
    • Supporting development of startup ecosystems
    • Supporting standards efforts
    • Supporting basic research and development
    • Enabling competitiveness and openness of the country’s markets
    • Promoting best practices and modern business models
    Why the IoT is Important to Our Future

    Kranz’ promo video for his book says this about the amazing future predicted for IoT technology, impacting not just consumers but manufacturers and really… everybody.

    “The wheel, printing press, the airplane. It’s impossible to imagine life without them and soon it will be just as impossible to imagine life before the Internet of Things! IoT is already happening and the growth and opportunity it provides isn’t just big, it’s huge. Wheel, printing press and airplane huge. Billions of connected devices, trillions in revenue.”

    At its core, Kranz said on his website, “it’s about business outcomes and people; it is about new ways of doing business, talent and change management; it is about migration to open technologies and open business structures based on co-development and ecosystems of partnerships; it is a multi-year, multi-phase journey.”

    Here’s a recent interview that Maciej Kranz gave explaining IoT to investors:

  • Google Code-in for Teens is Wildly Successful

    Google Code-in for Teens is Wildly Successful

    Google is in the middle of its annual Code-In contest and it’s more popular than ever with 930 teenagers from 60 countries completing 3,503 tasks with 17 open source organizations. “The number of students successfully completing tasks has almost met the total number of students from the 2015 contest already,” said Stephanie Taylor, Google Code-in Program Manager in a blog post on the Google Open Source Blog. This is the 7th year of Google Code-in.

    Tasks that the students have completed include:

    • writing test suites
    • improving mobile UI
    • writing documentation and creating videos to help new users
    • working on internationalization efforts
    • fixing and finding bugs in the organization’s’ software

    Check it out: Google Code-in Website

    What is Google Code-in?

    Google Code-in is a way for Google to inspire young students to enter the field of software development. “Don’t wait until they are university students,” said Taylor in a talk at GSoC (Google Summer of Code) earlier this year in Singapore. “Let’s get them excited about open source when they are 13, 14, 15 years old. So Google Code-in was born.”

    Google Code-in is an online global contest for 13-17 year old students around the world.

    screen-shot-2016-12-27-at-12-43-10-pm

    There’s Still Time to Get Started!

    “Students, there is still plenty of time to get started with Google Code-in,” said Taylor. “New tasks are being added daily to the contest site — there are over 1,500 tasks available for students to choose from right now! If you don’t see something that interests you today, check back again every couple of days for new tasks.”

    She says that the last day to register for the contest and claim a task is Friday, January 13, 2017 with all work being due on Monday, January 16, 2017 at 9:00 am PT.

  • Google’s DoubleClick Bringing Video to Native Ads

    Google’s DoubleClick Bringing Video to Native Ads

    Google’s DoubleClick announced today the ability to include video with both mobile and desktop native ads. This is important considering that more than half of all ad queries on DoubleClick’s publisher platform are on mobile.

    “With the addition of video to our native ads solution, publishers can now capture premium video advertising budgets on their non-video content,” said Jonathan Bellack, DoubleClick’s Director of Product Management of Publisher Platforms.

    Chris Quinn, Head of Commercial Operations at Kijiji, which is a subsidiary of eBay, commented on their tests with native ad video:

    “The [DoubleClick] native video templates — content and app-install — enable Kijiji to give our advertisers an alternative to banner and static native. We were excited about the ability to run assets seamlessly without embedded video players, which will hopefully give us a jumpstart in the video space. Testing has just begun across our iOS app, and we look forward to seeing positive results and potentially incorporating into our greater offering in 2017.”

    DoubleClick Extends Exchange Bidding to Mobile

    DoubleClick has also expanded the beta of Exchange Bidding to include mobile apps.

    “Exchange Bidding helps publishers maximize demand for every impression by letting them put multiple exchanges into competition in real time without adding any new client-side code,” said Quinn. “Since we announced it earlier this year, the number of participating publishers has grown 4x, the number of exchange partners has doubled, and we’ve moved the product from alpha into closed beta in the US.”

    Christian Sieweke, Senior Product Manager at Smaato, commented on their use of Exchange Bidding:

    “By integrating directly with DoubleClick for Publishers, Smaato can compete in real time for ad impressions based on price and priority, in parallel with other exchanges. We’re delighted to be an early participant in Exchange Bidding and look forward to expanding this solution to all of our partners.”

    DoubleClick Extends Dynamic Ad Insertion To VOD

    They also announced that they were extending Dynamic Ad Insertion to video on demand (VOD). Dynamic Ad Insertion delivers seamless, personalized ad experiences to all screens, especially TV.

    “Publishers like A+E Networks are now inserting relevant, highly targeted ads into both long- and short-form VOD content across all devices, and delivering personalized ads while eliminating common pain points like buffering,” noted Bellack. “This feature will be capable of serving both direct-sold and programmatic campaigns – in both cases delivering smarter, data-driven ads that perform better.”

  • Cisco: It’s Increasingly Easy to Imagine a Time When Every Device is Connected to the Internet of Things

    Cisco: It’s Increasingly Easy to Imagine a Time When Every Device is Connected to the Internet of Things

    Yves Padrines, Paris based VP, Global Service Provider EMEAR at Cisco, says that all devices will soon be connected to the internet of things (IoT).

    From the Cisco SP360: Service Provider blog:

    It’s increasingly easy to imagine a time when every device – from the street lamps on your road to the fridge in your kitchen – is connected to the internet of things. So it’s probable people will use IoT in ways we haven’t even begun to imagine.

    The automotive industry is one area where IoT is already becoming a reality. Recent research by technology consultants Chetan Sharma found that in the first quarter of 2016, there were more cars added to networks than phones (32%, compared to 31%).

    The owner of a connected car might want to subscribe to a connected vehicle care service, including options like virtual in-car assistance, sensor-based maintenance alerts, and on-board scheduling of appointments. They might also want to assess their driving safety, limit the speed a teenage driver can reach, or even monitor the health of an older family member at the wheel. And lots of organisations would be interested in the data provided by connected cars – insurance companies, emergency services, and parking providers, to name just a few.

    In the US, AT&T already has over 8 million cars on its network. AT&T used Cisco’s virtualisation technology to create a network specifically for connecting cars. They required a fundamentally new mobile architecture that would enable machine-to-machine connections. Using Cisco technology, they were able to create a network that combined virtual and physical resources.

    Of course, it isn’t just cars that can benefit from being connected. Philips has announced it sees itself as “the lighting company for the Internet of Things”, and has begun partnerships with Cisco and Vodafone. And in a further indication of IoT’s huge potential, service providers like Orange France – who last year created a low power network for machine-to-machine applications – are investing in the technology.

    Read the rest on SP360: Service Provider.

    Below is a related interview with Guillaume Gottardi, a Consulting System Engineer at Cisco Systems based in Paris, France.

    Also worth watching is Cisco’s video on their IoT advancements with General Motors cars:

  • Trump & Tech: The Clashes May Not Prove So Dramatic

    Trump & Tech: The Clashes May Not Prove So Dramatic

    Silicon Valley thinks the election of Trump is a disaster, but some tech leaders are starting to realize that the real impact may not be so dramatic.

    From Christopher Mims writing at the Wall Street Journal:

    Mr. Srinivasan (Balaji Srinivasan, Partner at venture capital firm Andreessen Horowitz) views the collision between tech culture and Mr. Trump’s populist movement as inevitable, and potentially so divisive that tech’s global elites should effectively secede from their respective countries, an idea he calls “the ultimate exit.”

    “It’s crazy to me that people in Silicon Valley have no idea how half the country lives and is voting,” said Ben Ling, an investment partner at venture firm Khosla Ventures. Many “coastal elites” attribute the results “to just sexism or racism, without even trying to figure out why [people] wanted to vote for Trump.”

    Ultimately, the clashes may not prove so dramatic. Technology may fall short of visionaries’ lofty promises. And Mr. Trump may pursue policies that are more symbolic than detrimental to the tech industry, says Anshu Sharma, a venture capitalist at Storm Ventures and founder of artificial-intelligence startup Learning Motors.

    “We’ll eventually find out whether he decides he does want to bring back an Apple factory from China,” says Mr. Sharma. “I think he’s going to pick on one or two companies and make an example, to show his base that he’s fixing America.”

    Read the rest of the story at the Wall Street Journal.

  • The State of Artificial Intelligence at Facebook

    The State of Artificial Intelligence at Facebook

    When you think of Facebook, you think of data, but not so much technology. Get ready for an in-depth preview of how Facebook is and is further planning to use artificial intelligence and other key technologies that they see as critical to their future.

    “Facebook’s long-term roadmap is focused on building foundational technologies in three areas: connectivity, artificial intelligence and virtual reality,” wrote Mike Schroepfer, Facebook’s Chief Technology Officer. “We believe that major research and engineering breakthroughs in each of these areas will help us make more progress toward opening the world to everyone over the next decade.”

    Facebook Making AI Research Useful Now

    Tying all of these crucial technology projects together is AI. “We’re conducting industry-leading research to help drive advancements in AI disciplines like computer vision, language understanding and machine learning,” he says. “We then use this research to build infrastructure that anyone at Facebook can use to build new products and services. We’re also applying AI to help solve longer-term challenges as we push forward in the fields of connectivity and VR. And to accelerate the impact of AI, we’re tackling the furthest frontiers of research, such as teaching computers to learn like humans do — by observing the world.”

    Facebook has learned to quickly turn their AI research into productive uses by their development and production teams. “As the field of AI advances quickly, we’re turning the latest research breakthroughs into tools, platforms and infrastructure that make it possible for anyone at Facebook to use AI in the things they build,” said Schroepfer.

    The backbone of their AI product development is FBLearner Flow, which allows their coders to easily reuse algorithms across products. Also, very importantly considering the billions using the Facebook platform, it lets their developers run thousands of experiments to test scaling.

    Another advancement is AutoML, which according to Facebook automatically applies the results of each test to other machine learning models to make them better. This significantly improves the time to market on AI breakthroughs.

    A brand new product that they developed based on their AI research is Lumos, a self-serve platform that enables teams that haven’t been exposed to the technology a way to “harness the power of computer vision” for their products and services.

    How is AI Impacting Facebook’s Users?

    Facebook is quickly and sometimes quietly adding AI capabilities right into the products that Facebook users love. For instance, AI is used to help translate posts automatically from foreign language speaking friends. It also behind the one time controversial ranking of everyone’s News Feed. Remember when this used to be in chronological order?

    Facebook says that over the next 3-5 years AI will be used in features all across the platform.

    AI Being Used to Improve Aspects of Video

    Facebook sees video communication as its future and is working on ways to use AI to improve this experience.

    “We started working on style transfer, a technology that can learn the artistic style of a painting and then apply that style to every frame of a video,” said Schroepfer. “This is a technically difficult trick to pull off, normally requiring that the video content be sent to data centers for the pixels to be analyzed and processed by AI running on big-compute servers. But the time required for data transfer and processing made for a slower experience. Not ideal for letting people share fun content in the moment.”

    “Just three months ago we set out to do something nobody else had done before: ship AI-based style transfer running live, in real time, on mobile devices,” he added. “This was a major engineering challenge, as we needed to design software that could run high-powered computing operations on a device with unique resource constraints in areas like power, memory and compute capability.”

    All of this work has resulted in a new deep learning platform called Caffe2Go, which can capture, analyze and process pixels in real time on a mobile device, according to Facebook.

    “We found that by condensing the size of the AI model used to process images and videos by 100x, we’re able to run deep neural networks with high efficiency on both iOS and Android. This is all happening in the palm of your hand, so you can apply styles to videos as you’re taking them.”

  • By 2020 There Will Be 30 Billion Connected Things!

    By 2020 There Will Be 30 Billion Connected Things!

    By 2020 there will be 30 billion connected things, according to a new infographic by Cloudera. The company believes that the Internet of Things (IoT) could be an extremely disruptive force in society, basically changing everything, according to Vijay Raja, Sr. Solutions Marketing Manager for Cloudera IoT.

    “With billions of things — including everything from cars, homes, airplanes, apparels, parking meters, wearables, factories, oil rigs, and heavy machinery — connected to the internet, the Internet of Things (IoT) has the potential to be the most disruptive technological advances in recent ages.”

    IoT is Really About the Data

    Despite the name, IoT is less about things and more about the data that these things will be generating, with data streams in real-time that will need to be processed, calculated and computed into action items for both other things and humans.

    “However, IoT is going to be much more than the things itself — IoT is really going to be all about the data!” says Raja. “IoT will generate far greater volume and variety of data than most information leaders are currently familiar with — requiring re-architecting of their existing data management infrastructures. Organizations around the globe will need to adopt a more scalable, agile, and open data management architecture in order to effectively ingest, store, manage, process and, more importantly, drive insights from all of their IoT data.”

    iot-infographic

  • Microsoft Ends Moore’s Law, Builds a Supercomputer in the Cloud

    Microsoft Ends Moore’s Law, Builds a Supercomputer in the Cloud

    A group of Microsoft engineers have built an artificial intelligence technique called deep neural networks that will be deployed on Catapult by the end of 2016 to power Bing search results. They say that this AI supercomputer in the cloud will increase the speed and efficiency of Microsoft’s data centers and that their will be a noticeable difference obvious to Bing search engine users. They say that this is the “The slow but eventual end of Moore’s Law.”

    “Utilizing the FPGA chips, Microsoft engineering (Sitaram Lanka and Derek Chiou) teams can write their algorithms directly onto the hardware they are using, instead of using potentially less efficient software as the middle man,” notes Microsoft blogger Allison Linn. “What’s more, an FPGA can be reprogrammed at a moment’s notice to respond to new advances in artificial intelligence or meet another type of unexpected need in a datacenter.”

    The team created this system that uses a reprogrammable computer chip called a field programmable gate array (FPGA) that will significantly improve the speed of Bing and Azure queries. “This was a moonshot project that succeeded,” said Lanka.

    What they did was insert an FPGA directly between the network and the servers, which in bypassing the traditional software approach speeds up computation. “What we’ve done now is we’ve made the FPGA the front door,” said Derek Chiou, one of the Microsoft engineers who created the system. ““I think a lot of people don’t know what FPGAs are capable of.”

    Here is how the team described the technology:

    HyThe Cataputl Gen2 Card showing FPGA and Network ports enabling the Configurable Cloudperscale datacenter providers have struggled to balance the growing need for specialized hardware (efficiency) with the economic benefits of homogeneity (manageability).  In this paper we propose a new cloud architecture that uses reconfigurable logic to accelerate both network plane functions and applications.  This Configurable Cloud architecture places a layer of reconfigurable logic (FPGAs) between the network switches and the servers, enabling network flows to be programmably transformed at line rate, enabling acceleration of local applications running on the server, and enabling the FPGAs to communicate directly, at datacenter scale, to harvest remote FPGAs unused by their local servers.

    We deployed this design over a production server bed, and show how it can be used for both service acceleration (Web search ranking) and Hardware and Software compute planes in the Configurable Cloudnetwork acceleration (encryption of data in transit at high-speeds).  This architecture is much more scalable than prior work which used secondary rack-scale networks for inter-FPGA communication.  By coupling to the network plane, direct FPGA-to-FPGA messages can be achieved at comparable latency to previous work, without the secondary network.  Additionally, the scale of direct inter-FPGA messaging is much larger.  The average round-trip latencies observed in our measurements among 24, 1000, and 250,000 machines are under 3, 9, and 20 microseconds, respectively.   The Configurable Cloud architecture has been deployed at hyperscale in Microsoft’s production datacenters worldwide.

  • Google Seeks to Transform Education with New Change Center

    Last week the Google for Education Transformation Center was announced as a hub and launch pad for school change. Google has long been involved in pushing technology to improve and modernize education, but with the launch of the Center it hopes to spur a community of educational thought leaders to action.

    Persuading schools to adopt innovative technology is not as simple as it may seem, there are often cultural obstacles that need to be overcome and leadership that embraces positive change and strategies to bring all stakeholders on board through transparency and learning programs.

    Technology can’t just be forced on educators, it needs to be first embraced as a solution by educators to a perceived problem. Finally, school leaders need to budget for change and improvement, so that technology is about student progress and not funding reallocation.

    “Over the past few years we’ve had the privilege to work closely with thousands of schools that are seeking to improve and innovate with the help of technology,” said Liz Anderson, who is Google’s Global Lead for their Education Adoption Programs. “Every school is different, but we’ve heard a lot of common themes from educators: that change is hard; that change is about a whole lot more than just technology; and that obstacles are often similar across districts.”

    She added, “School leaders face many of the same challenges and opportunities, but often have limited ways to share with — and learn from — each other. That’s why we’ve created a new hub for school leaders to share ideas, resources, and stories: The Google for Education Transformation Center.”

    The 7 Critical Areas for School Change

    Google brought educational leaders together from all over the US to create a “transformation framework” guiding schools to improving education through innovation and technology:

    • Vision – School change only happens when there is a strong vision at the start. When a school has a clear vision, it means the leader has ensured that the school and wider community are working together toward shared goals for the future.
    • Learning – School leaders empower their teams to create a set of instructional practices, curricula, assessments, and learning experiences that put students at the center – that engage learners deeply and meet their individual and collective needs.
    • Culture – Successful school leaders create structures, rituals, stories, and symbols that foster a culture of innovation and encourage people to learn from failure and success.
    • Technology – Technology is only one enabler of school change, but it’s a critical part. School leaders find, test, and gain their team’s support for the right technology (tools and processes) to meet the school’s vision.
    • Professional Development – Teachers have a lot on their plates. School leaders provide educators with effective professional development and ongoing coaching focused on applying tools and practices to meet student needs.
    • Funding & Sustainability – School leaders create a sustainable budget, identify a range of funding sources, and seek savings and reallocation opportunities that align directly to student goals.
    • Community – Schools serve diverse communities made up of parents, families, businesses, government, nonprofits, and residents. Throughout all stages of the transformation process, leaders ensure these partners support the school and the vision.

    Rich Ord is Co-founder of StudentGrowthWorks.org, a technology platform for monitoring student growth and making IEP’s meaningful.

  • Technology Helps Salespeople and the Customer Connect

    Technology Helps Salespeople and the Customer Connect

    Technology is impacting sales in a way never seen before as evidenced by Salesforce’s massive integration of artificial intelligence into all of their various clouds and products. At the Salesforce Dreamforce event much of the discussion is about how technology is changing the sales landscape requiring salespeople to adapt or fail.

    There are so many trends really impacting sales right now,” says Tim Clarke, Director of Product Marketing at Salesforce. “You can’t lead with products anymore, as Brent Adamson of CEB said, 57% of the buying process is completed before they engage the salesperson. We know that with a lot of the purchasing decisions that we make we’ll just do our research online, so the professional sales person now needs to truly add value.”

    He noted what we all know, that the most effective sales strategy relies on having the right conversation at the right time, at the right place and on the right channel. However, it’s really more than that, it’s about standing out knowing everything there is to know. “We’ve probably all received those prospecting emails which are just generic, and then you get the second one saying, I didn’t hear from you and then the third one asking, did you get hit by a car?” said Clarke. “Clearly, prospecting and sales development is really an exciting area right now and there’s so much technology that really can support sales professionals to be successful.”

    Salespeople Must Stand Out From the Herd

    An extreme depth of knowledge about the customer is becoming more important. “First, the customer is obviously much more educated today than they were even 5 or 10 years ago,” said Will Anastas, SVP of Enterprise Corporate Sales at Salesforce. “The proliferation of technology that enables customers to be smart is also at our disposal as well in sales.”

    He noted that it is key for salespeople to “stand out from the herd of salespeople” that literally have the same information as we do. “So how do we change our perspective and how do we do discovery so that we can show up literally like your customers customer?” Anastas asks. “By providing that point of view that is authentic, genuine and empathetic that will help you break through and separate yourself from really everyone that is trying to sell to this individual. I think it’s a challenging time, but I think it is full of opportunity.”

    Try Different Things to Get in Front of Your Prospects

    “We launched a project with a company called Somersault Innovation which is led by Ashley Welch and her co-founder Justin Jones,” said Anastas. “What they did was take the principals of design thinking and applied it to a sales process, a sales discovery methodology. There were 3 main components of it, empathy, customer centricity and curiosity.”

    Salesforce rolled out their program internally in order to improve their own sales. “What I’ve noticed is that as we’ve rolled out this training to our salespeople they have found themselves in situations that they didn’t expect to find themselves in,” noted Anastas. “For instance, one of my executives has Greyhound as a prospect account and we been trying to get into Greyhound for years, doing the same thing over and over again, looking at LinkedIn and looking at the available information on the web.

    “Finally, after we did this training, our account executive just went and got on a bus,” he said. “Instead of flying to LA for the weekend, he took a Greyhound from San Francisco to LA, he talked to a bunch of people at Greyhound and he figured out a bunch of insights that he would never have gotten by sitting at his desk and looking at the web.”

    Later, Anastas said that when the salesperson phoned up Greyhound he was able to talk about his personal experience of the bus ride and as their customer. “That warm, empathetic intro has taken him all the way to the office of the CEO at Greyhound in a very short period of time.”

    “So to me, it’s really about separating yourself out and trying different things to get you in front of your prospects faster.”

    The Personal Connection is Also Important

    The CEO of CCI Global Holdings, Walter Rogers, says that technology has become available that really allows a seller to become much more knowledgable about their buyer, their buyers customers, their buyers needs, both personal and professional. However, he says making a personal connection with these individuals and leveraging all of this information enables the salesperson to make an “impact” on the potential customer.

    “We talked a lot about the impact of technology on sales,” he said. “I want to sidestep and talk about the personal connection with a human being. That’s something that I personally experienced working in partnership with Amazon Web Services. I’ve actually gone deep into their sales cycles as they try to convince customers to move from on premises to a cloud based infrastructure.”

    “There was one customer that we were working with that just did not want to move,” Rogers said. “They were very efficient in how they were running their operation and they felt they would not save any money. However, when we dug really really deep, his personal motivator was impacting the public education system.”

    He said that showing the customer that moving their data from to the cloud, would allow them to correlate information across many other databases and build out a predictive analytics model. “This let them spot students before they got in trouble, by looking at various trends, such as did the parents just go on welfare, those types of things,” says Rogers. “Because we are able to make that human personal connection, this company is beginning to make a migration across the AWS infrastructure.”

    “We can’t ever overlook the impact of the human connection,” he said. “You’d be amazed at what a difference it can make in getting email response when you take the words me, I and we out of your emails completely and focus them all on the word you and what’s important to the other person. The response rates will go up about 50%.”

  • A Connected Product Can Drive Success

    A Connected Product Can Drive Success

    Salesforce is conducting their annual Dreamforce conference this week with a variety of speakers giving talks. One that was interesting yesterday was from Bharat Anand, who is the Henry R. Byers Professor of Business Administration at Harvard Business School.

    Bharat’s talk was about ‘Digital Innovation Trends Shaping Our Future’ which is also the subject of his book that is launching in 10 days.

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    What is the problem with newspapers?

    “I went up to the plant manager and asked, what is this room (rolls of paper for newspapers) going to look like 10 years from now?” asked Anand. “I thought I would get a rousing defense of print, but instead he walks up to me and whispers in my ear, I get all of my news on the iPad.”

    Anand asked what is the problem with newspapers and what are the challenges they face? plant manager sayid it’s online news because you can get it quick, you can get it cheap, you have more variety, it’s rich media and you can personalize it.

    Anand wondered how has this has effected news readership? “This has been going on for 60 years,” he said. “Oh my gosh, this has nothing to do with the internet. What started the decline? It was radio, then broadcast TV, then black and white TV, cable TV, 24/7 cable news, and then the internet. If you took out time, the impact of the internet is imperially indistinguishable from everything that came before it.”

    screen-shot-2016-10-05-at-10-23-57-am

    “And yet, every story we hear is about how the internet has destroyed newspapers,” he says. “It did, but it had nothing to do with the news content. The impact was really on classifieds. Classified ads account for around 40% of the revenue of a newspaper and more than half the profits.”

    Anand points out that if you look at the New York Times between 1994 and 20110, average decline in news readership was less than half a percent a year. Be he says that classifieds on the other hand, lost 90% of those revenues. Why the difference?

    News is Stable, But Classifieds Have Disappeared

    “The reason goes back to something pretty fundamental about behavior, which is how do we consume both of these products?” says Anand. “Which news site would you like to go to? Well, it doesn’t depend on what my friends choose. Even if my friends like Google, CNN and Yahoo, if I like the NYTimes.com, I will go there. In other words, I’m making decisions based on product quality and price.”

    He points out how classifieds have a very different dynamic. “Which classified site do I choose to go to?” he asks. “Where there are the most listings. Where do people list? Where are the most buyers?”

    “More listings, more buyers…more buyers, more listings, exclaims Anand. “We have what I call a feedback loop or what is sometimes called network effects, meaning my decision to go to a particular site depends on the decisions of many other people.”

    A Connected Product Can Drive Success

    Anand says that a connected product means there are connections between users and that news on the one hand is not a connected product but classifieds is. This has fundamental implications for a bunch of things.

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    He points out that for the last decade, circulation revenue for most newspapers was roughly stable. Why? “We had slight decreases in revenue per household offset by price increases, but with classifieds, we basically lose the entire thing, said Anand. “Meaning once we are ahead in classifieds, such as Craigslist and Monster, you get more and more listings, more and more buyers. It’s what we call winner take all dynamics.”

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    “When I have this conversation with news executives and I ask them what are the problems facing newspapers, they (typically) say it’s online news and they explain because it’s better, faster, cheaper,” he says. “At some point I ask how their circulation revenues are holding up. They say, actually pretty well. Then what’s the problem? Oh, classifieds! I say wait, you are in the news business.” He says that even newspaper executives fall into the trap thinking the problem is about content. After all he says, “We never called it a classified ad paper, we called it a newspaper.”

    Where Else Do We See This Dynamic?

    All over the place he says. It’s the history of digital.

    Microsoft vs. Apple and PC’s: Apple has probably been the best product for 30 years, but ends up with 3% market share. Why? Microsoft owned the networks. More buyers, the more likely that other people will buy PC’s because we want to share files, more buyers more app developers, more buyers more app developers and so on.

    What’s interesting about this is that we have just seen the greatest corporate transformation in history, where Apple’s market share in PC’s has increased from about 3% globally to around 9% globally. Barely moved the needle. Conversely, we’ve seen a company (Microsoft) that probably makes every mistake known to mankind, and yet top 5 in market cap. That’s the power of networks.

    Facebook vs. Google+: When Google+ came out many people said, this is a better product, allowing you to create circles of friends (and much more), until someone said, there is no one playing in the sandbox but me.

    eBay marketplaces: When it wins around the world, it wins big. When it loses, like in Japan and China, it doesn’t go from 80 to 75%, it goes all the way down to zero and exits the market.

    AirBnB: Same idea of connections, which is the more people list on the site, more renters, more renters more listings. You end up with winner take all. This is a tweet from an AirBNB executive showing the power of networks:

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    Uber: What’s interesting is that when they started Uber Black with their own drivers it was sort of going nicely. But when they opened up to partner drivers, exponential growth. Again the same dynamic.

    Network Connections Can Be Created

    Anand also talked about how companies, such as Pokemon, can create the network effect out of thin air. “There is nothing about a card that says this is a connect product,” he says. “But Pokemon goes to great lengths to convince you and me that the value in this card lies in trading with others. Suddenly, I don’t want to be the only kid in school who doesn’t have a card.”

    He also gave the example of how building tools can help news organizations create a network dynamic. Trove is a personalized news reader build by the Washington Post that was doing okay, but took off after they connecting it to Facebook, prompting millions of new readers. Unfortunately, Facebook later changed their algorithm!

    Another example he gave was of a Norway newspaper called Schibsted, which actually saw this dynamic about 15 years ago. “They looked at classifieds and said this is a winner take all dynamic and that if we don’t move fast, we lose the entire game,” Anand said. “They actually built out just when the dot com bubble was crashing. Everyone was moving away from newspapers, they moved in.”

    He added, “They create the online classified site, with the results being that when you win in classifieds you are 3-5X ahead of the second player. There is something quite fascinating about their market share, they now have a 90% market share of jobs and real estate in Norway, but they say in their annual report that we have a 100% marketshare in cars. I wondered why. They said that our size is actually so liquid that people all over Europe are actually listing their cars on our site.”

    The Norway newspaper created this network dynamic even more spectacularly in response to the European volcanic ash crisis that started in Iceland where air travel was disrupted. “The challenge for everyone in Norway was how do I get from point A to point B with all air travel disrupted,” commented Anand. “They noticed that people were actually exchanging conversations on their website. Someone saying, anyone going from Oslo to Trondheim? Someone replies, yep, I have a car and I’m going at 3pm and I can pick up 3 people at the train station. This stuff was feeding on itself.”

    What did the newspaper do? The had their IT team build an app called Hitchhiker Central that became the most important product featured during this crisis, with everyone in Europe using it.

    How Companies Can Gain the Network Effect

    Now, every time there is a major news event Schibsted asks, how can we help readers help each other? “As a result, their front page traffic is off the charts, online CPM’s are as high as print CPM’s, which is unheard of in the Western world,” says Anand.

    “It’s about user connections,” he says. “One thing you can see is that companies that win on connections, they really don’t have to market. Think about how much Microsoft spends convincing you and me to buy the next Microsoft operating system. Effectively, the installed based is their sales force.”

    He says that if you win the network game that often trumps product quality.

  • There Has Never Been a Moment Like This: Driverless Vehicles Recognized by US

    There Has Never Been a Moment Like This: Driverless Vehicles Recognized by US

    Driverless vehicles have the ability to literally change the world by making driving safer, more energy efficient, more accessible, and many will be happy to hear… eliminate congestion and gridlock. The government today made an important first step in truly making this possible.

    “Today is an important moment at the Department of Transportation,” announced Anthony Foxx, US Secretary of Transportation. “We have issue record recalls, we still have too many people dying on our roadways and we have too many Moms and Dads stuck in traffic losing productive time with their families. In the 50 years of the Department of Transportation there has never been a moment like this.”

    He added, “A moment where we can build a culture of safety as new transportation technology emerges that harnesses the potential to save even more lives and that will improve the quality of life for so many Americans. Today, we put forward the first Federal policy on automated vehicles. The most comprehensive national automated vehicle policy that the world has ever seen. It is a first of its kind.”

    “It is taking us from the horseless carriage to the driverless car,” says Foxx. The policy is effective today, but the agency welcomes ongoing dialogue and will make changes as time goes on. “The focus on this technology will always be safety.”

    The New Driverless Vehicle Policies

    The new policies by the National Highway Traffic Safety Administration (NHTSA) will also let those “drive” without a drivers license, just like they do currently with Uber, Lyft and taxis. The government differentiates rules and regulations for cars requiring a driver and those that don’t.

    If you were wondering, driverless cars will not have to have steering wheels or brake pedals. The agency says they have been charged with creating a path toward fully autonomous vehicles.

    The 15 point assessment is designed to recognize that driverless vehicles are a rapidly changing and emerging technology. It does however, let the industry see a roadmap for how the government will deal with the regulatory environment for autonomous vehicles. Their goal is to build a safety culture now around autonomous vehicles, instead of as an afterthought.

    The bottom line is that the NHTSA is extending its rulemaking authority to driverless vehicles.

    Autonomous Vehicles Will End Drunk Driving

    Also speaking during the announcement was the National President of Mothers Against Drunk Driving (MADD), Colleen Sheehey-Church, saying “over ten thousand people continue to die each year needlessly due to drunk driving.” She added, “A fully autonomous vehicle would stop a drunk drive simply because they can’t physically drive the vehicle.”

    “I would also like to point out the driverless cars can do much more than simply stop drunk driving, these vehicles could potentially stop most of the traffic deaths in our country,” says Sheehey-Church. “A driverless car is not distracted, it ensures that the occupants are traveling at appropriate speeds and it would avoid pedestrians and bicyclists.”

    “While improving safety, a driverless car would also create new mobility opportunities,” she said. “Older drivers who may be shut in or unable to drive may be able to drive at night again. Members of the disabled community who may not be able to drive could now have new opportunities for transportation like never before.”

    “To that end, MADD is proud to support the new proposal on autonomous vehicles,” she said.

    Watch the HAV Press Conference here:

    Overview of Federal Automated Vehicles Policy

    The Obama Administration today has released the first set of guidelines for fully autonomous vehicles called the Federal Automated Vehicles Policy. The 8 page policy release predicts a driverless car future that will create safer roads and many more energy efficient transportation options. Although the main focus of the new policy is about highly automated vehicles (HAVs), there are portions that also apply to lesser levels of automation such as the driver assist systems found in Tesla’s and other high end cars.

    “We’re envisioning a future where you can take your hands off the wheel and the wheel out of the car, and where your commute becomes productive and restful, rather than frustrating and exhausting,” said Jeff Zients, who is Director of the National Economic Council and Assistant to the President for Economic Policy, in announcing the new policy.

    The government sees autonomous vehicles as a way to leap current hurdles for the 4 million Americans who are living with a disability as well as older people who have difficulty seeing at night. They also view it as a way to make our society more fair and just, where vehicles are made assessable for all. They even believe that blind people will eventually be able to use driverless cars to get around, with innovative technology that will be developed to assist.

    The policy guidelines which were developed over several years are a work in progress and will be updated annually with the goal of keeping the regulations up-to-date with the rapidly evolving technology.

    Components of the Policy

    • Vehicle Performance Guidance for Automated Vehicles: The guidance for manufacturers, developers and other organizations outlines a 15 point “Safety Assessment” for the safe design, development, testing and deployment of automated vehicles.
    • Model State Policy: This section presents a clear distinction between Federal and State responsibilities for regulation of HAVs, and suggests recommended policy areas for states to consider with a goal of generating a consistent national framework for the testing and deployment of highly automated vehicles.
    • Current Regulatory Tools: This discussion outlines DOT’s current regulatory tools that can be used to accelerate the safe development of HAVs, such as interpreting current rules to allow for greater flexibility in design and providing limited exemptions to allow for testing of nontraditional vehicle designs in a more timely fashion.
    • Modern Regulatory Tools: This discussion identifies potential new regulatory tools and statutory authorities that may aid the safe and efficient deployment of new lifesaving technologies.

    Vehicle Performance Guidance

    The policy creates a 15-point Safety Assessment which outlines objectives on how to achieve a robust design. It allows for varied methodologies as long as the objective is met:

    • Operational Design Domain: How and where the HAV is supposed to function and operate;
    • Object and Event Detection and Response: Perception and response functionality of the HAV system;
    • Fall Back (Minimal Risk Condition): Response and robustness of the HAV upon system
      failure;
    • Validation Methods: Testing, validation, and verification of an HAV system;
    • Registration and Certification: Registration and certification to NHTSA of an HAV system;
    • Data Recording and Sharing: HAV system data recording for information sharing,
      knowledge building and for crash reconstruction purposes;
    • Post-Crash Behavior: Process for how an HAV should perform after a crash and how
      automation functions can be restored;
    • Privacy: Privacy considerations and protections for users;
    • System Safety: Engineering safety practices to support reasonable system safety;
    • Vehicle Cybersecurity: Approaches to guard against vehicle hacking risks;
    • Human Machine Interface: Approaches for communicating information to the driver,
      occupant and other road users;
    • Crashworthiness: Protection of occupants in crash situations;
    • Consumer Education and Training: Education and training requirements for users of
      HAVs;
    • Ethical Considerations: How vehicles are programmed to address conflict dilemmas on
      the road; and
    • Federal, State and Local Laws: How vehicles are programmed to comply with all
      applicable traffic laws.

    Model State Policy

    The policy emphasizes that states will continue with their traditional responsibilities for vehicle licensing and registration, traffic laws and enforcement, and motor vehicle insurance and liability regimes while also carving out a new Federal role for autonomous vehicles. The goal is to not have states stepping all over themselves with a hodgepodge of rules, making it impossible for self-driving cars to drive between states.

    The Federal responsibilities include setting safety standards and enforcing them, investigating safety issues and managing recalls, public education on driverless safety and communicating future guidance to the public in order to achieve national safety goals.

    The Feds also created a regulatory framework model for states to follow in order to create a consistent approach to governing autonomous vehicles:

    • Application by manufacturers or other entities to test HAVs on public roads;
    • Jurisdictional permission to test;
    • Testing by the manufacturer or other entities;
    • Drivers of deployed vehicles;
    • Registration and titling of deployed vehicles;
    • Law enforcement considerations; and
    • Liability and insurance.

    Current Regulatory Tools

    Especially interesting is the governments forward looking approach in trying to make existing laws work to allow the use of driverless vehicles. This will be done via government agency reinterpretation of existing laws, using Letters of Interpretation, basically stretching them as far as they can go without changing their intent.

    The policy is also going to use its current power to provide limited exemptions to vehicle manufactures to test new designs of cars that are not currently allowed. For instance, all cars must have a steering wheel, except that you don’t need one in a driverless car and it could even add danger because people could bump into it. Exemptions will allow manufacturers to bypass “buggy whip” rules that aren’t applicable in a vehicle that nobody is driving.

    They have also created a path to more permanent ways to bypass old safety and design rules using a petition for rulemaking. This allows manufactures to adopt new standards, modify existing standards, or repeal an existing standard.

    Modern Regulatory Tools

    The new policy identifies new tools that could be created under current law while also laying the foundation for new laws requiring Congressional action. Within this section the policy is a first step toward reinventing laws and regulations of the world’s likely driverless future revolving around safety issues, software updates, regulation processes, record keeping and data sharing.

    Data sharing is an area the self driving industry may not be too happy about. They are likely to focus their army of lobbyist on Congress to make sure they aren’t giving up their proprietary data that they have spent millions obtaining.

  • The Education Technology Revolution is Still on its Way

    AOL founder and internet visionary Steve Case in his new book, “The Third Wave” says that the Education Revolution will be: More personal. More Individualized. More data-driven. Even though there have been many technological solutions that fit the spirit of Steve’s mantra, they have been implemented in a scattered way thus far. In other words we have a long way to go–but we are on a path to get there.

    The obstacles are huge, people don’t like change, schools don’t have the necessary software budgets and people have been jaded by past technology investments that have been failures. There are numerous examples, but I’ll give just one big one. L.A. Unified School Districts failed $1.3 billion iPad program.

    In 2013 the District decided to give every student an iPad pre-loaded with Pearson instruction material. One of the drivers of this plan was learning equity, so that underprivileged kids could have the same learning opportunities as the middle class and rich kids. By 2015 the money had been spent and it went down as one of the most spectacular failures in public education history. There were problems with the curriculum, a lack of internet access at the homes of students the program was meant to help the most and nobody had a solution to account for thousands of lost or stolen iPads.

    This was a software and technology experiment that was badly implemented, but that doesn’t mean that technology in education won’t ultimately be what saves our education system.

    Wired summed it up:

    But while the the parties involved continue pointing the finger and picking up the pieces, the important question to ask now is what this fiasco means for the future of technology in the classroom. If one of the country’s largest school districts, one of the world’s largest tech companies, and one of the most established brands in education can’t make it work, can anyone?

    Technology Focusing on Learning Progress Can Transform Education

    Technology can and will transform education by making the learning process, and more importantly the learning progress the centerpiece, instead of everybody learning the same stuff at the same time and pace. Everybody’s different, with unique interests and personalities and with widely varied backgrounds. Of course everybody should know the basics, but our system should ultimately do better at guiding students toward an education goal that they’re meant to reach. That’s what Olympic athletes do. They start their focused training toward their end goals early in life and that’s how they become world-class in their sport.

    Technology can help provide that kind of focus in education.

    The idea is for cloud based platforms to help teachers and students direct your personal education path. It’s not just about curriculum, it’s about setting learning goals that are individualized so that students can stay in their passion zones, which maximizes learning. We all work harder when we are learning something that interests us. These individualized goals can also be used to help students with learning difficulties or IEP’s, so that we are measuring their progress in a way that allows us to view their progression over time and make adjustments to their goals or learning strategies if progress isn’t happening.

    Educators should create goals in a goal attainment scaling framework that enables meaningful measurement across spectrums. In other words, use a data-driven approach to measure a students learning progress. Progress toward a students learning goals are a better indicator of a students success and with proper measurement the progress data can easily be compared to the students other learning goals and the overall learning progress of the classroom as a whole, an entire school, district or state.

    Comparison of measurable data allows students, teachers, parents and administrators to intervene and improve the learning process before too much time passes. Software that encourages meaningful measurement of progress encourages productivity in learning. Instead of comparing standardized grades and test scores, we should be comparing measurable progress of students and our education system in general.

    This personal, individualized, data-driven approach will revolutionize education.

    – By Rich Ord, CEO of iEntry, Inc. and co-founder of StudentGrowthWorks, a software platform to measure the progress of students, especially those with IEPs or RTI plans.