Ten Years of Intel at NRF: Retail Transformation Has Only Just Begun

Joe JensenBy Joe Jensen

Ten years ago, Intel formed the Retail Solutions Division at an opportune moment – the industry was ripe for disruption. At the time, the average store could barely make use of the information at its disposal. Because systems couldn’t talk to each other, nothing happened in real time. Retailers were giving up billions of dollars due to poor inventory management. And with little in the way of shopper analytics, they couldn’t easily understand their customer or personalize their in-store experience. In many, if not most, cases, shoppers walked into the store better equipped with both information and technology than the sales associates who were supposed to be helping them.

A decade later, on our 10th anniversary of participating at NRF, the fundamentals of retail haven’t changed. Retailers that stay relevant have always focused on experience, quality and curation. Consumers are now expecting those fundamentals in a different way, and we’re here to help. At Intel, our job is to be a catalyst for our customers and partners making that customer journey seamless – whether it’s curating immersive and personalized shopping experiences, fine-tuning inventory and supply chains, or driving operational efficiencies – so they can reinvest back into the customer experience.

More: Internet of Things News

As with every NRF show, Intel is proud to showcase a dynamic array of leading-edge technologies and best-in-class retail solutions – a rich and representative sample of the pioneering work we’re doing with our strong partner ecosystem. This year, Intel will announce the Open Retail Initiative. It is the first internet of things (IoT) open-source initiative that focuses on enabling retailers to unlock the power of data and insights within their businesses to scale and address market challenges.

Intel NRF Pensa

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Retailers are getting serious about increasing inventory accuracy and attacking on-shelf availability problems. Unveiled for the first time at Intel’s NRF 2019 booth, Pensa will show its breakthrough retail inventory visibility system aimed squarely at the trillion-dollar retail shelf “blind spot” problem. Utilizing in-store servers with Intel architecture to power analytics, Pensa combines artificial intelligence (AI) and drones to autonomously scan shelves and then alert retailers and brands as to what is actually on shelves – across all stores, everywhere, at any point in time.

Some of the most exciting innovations in retail technology are the changes you can’t see – the technologies that are allowing back-of-house automation so valuable staffing hours can be put back into customer-facing activities. Rubikloud utilizes a machine learning platform for retail to automate the mass promotions and merchandising process – the most expensive business process – to deliver an optimal mix of promotion mechanics for accurate forecasts to reduce stock-outs and increase revenue.

AI is reinventing the retail landscape. No longer confined to the data center, AI has made its way into the store itself where retailers are using machine learning to streamline operations, improve supply chain and inventory management, fuel immersive experiences, and inform precision marketing. MeldCX/AOpen is the first AI-enabled, computer vision bulk product scale and labeling system powered by multiple Intel architectures, including Intel® Movidius™ Vision Processing Units. It allows bulk items to be purchased and determines the type and cost of an item, without a barcode – removing friction from the shopping experience by determining bag contents to save time, money and hassle.

Intel’s Open Retail Initiative removes barriers between innovators by connecting technologies and data through common, open-source frameworks. It promotes a free exchange of ideas within the retail industry to drive creative and technological advancement. Through collaborations within the EdgeX Foundry alliance and our ecosystem partners, starting with Canonical, Dell, Envirosell, HP, JD.com, JDA, Petrosoft, RetailNext, SAS, Shekel Brainweigh, SUSE, Toshiba Global Commerce Solutions, Verifone and VMware, Intel is removing barriers to technology adoption.

As Intel celebrates 10 years as a catalyst and key partner in building a bright future for retail, there’s nothing more exciting than imagining what’s ahead. The era of retail transformation has only just begun. Here’s to the next 10 years, and many more to come.

Joe Jensen is vice president of the Internet of Things Group and general manager of the Retail Solutions Division at Intel Corporation.

Intel at 2019 NRF: If you are interested in learning more and checking out our partner solutions and demos, visit our booth, #3437, or check out our demo fact sheet.

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Intel AI Protects Animals with National Geographic Society, Leonardo DiCaprio Foundation

Intel AI anti poaching 1

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What’s New: Non-profit RESOLVE’s* new TrailGuard AI* camera uses Intel-powered artificial intelligence (AI) technology to detect poachers entering Africa’s wildlife reserves and alert park rangers in near real-time so poachers can be stopped before killing endangered animals. TrailGuard AI builds on anti-poaching prototypes funded by Leonardo DiCaprio Foundation and National Geographic Society.

”By pairing AI technology with human decision-makers, we can solve some of our greatest challenges, including illegal poaching of endangered animals. With TrailGuard AI, Intel’s Movidius technology enables the camera to capture suspected poacher images and alerts park rangers, who will ultimately decide the most appropriate response.”
– Anna Bethke, leader of AI for Social Good at Intel Corporation

How It Works: TrailGuard AI uses Intel® Movidius® Vision Processing Units (VPUs) for image processing, running deep neural network algorithms for object detection and image classification inside the camera. If humans are detected among any of the motion-activated images captured by the camera, it triggers electronic alerts to park personnel so they can mobilize rangers before poachers can do harm.

Why It’s Important: According to RESOLVE, an elephant is killed every 15 minutes by a poacher, at a rate of approximately 35,000 elephants per year. In a decade, experts predict there won’t be any more elephants. Rhinos, gorillas, tigers and other large mammals are also in danger from poachers, as are giraffes, antelopes and wildebeest that are often caught in poachers’ snares.

“Reckless human activity is causing species loss and extinction on an unprecedented scale, with recent reports showing that as many as 60 percent of all wildlife has been wiped out since 1970. If illegal poaching of wildlife continues at the current rate, elephants are just one of the large mammal species that will be completely erased in our lifetime,” said Justin Winters, executive director, Leonardo DiCaprio Foundation, which provided critical funding for prototypes and is working to support broad-based deployment of these systems. “A commitment to protecting wildlife has been at the heart of LDF’s work from the beginning and we are excited to collaborate with Intel and RESOLVE on this breakthrough AI technology, which is set to be a game-changer for park rangers in the monitoring and management of endangered species around the world.”

How It’s Different: TrailGuard AI uses deep neural network algorithms that allow the device to recognize humans and vehicles with a high degree of accuracy. TrailGuard AI builds upon the success of RESOLVE’s first-generation TrailGuard camera deployed in protected reserves that alerts rangers any time it detects motion. With the first-generation camera, rangers receive many photos that they had to manually review to determine if there is a poaching threat or a false-positive triggered by other motion. By adding an additional layer of AI into the system, TrailGuard AI intelligently knows when a potential poacher is present, allowing park rangers to rapidly intercept and apprehend.

TrailGuard AI is powered by the tiny yet powerful Intel® Movidius™ Myriad™ 2 VPU, which delivers visual intelligence to the camera itself, resulting in several important benefits:

  • Limited false-positives: Instead of alerting the rangers anytime there is motion in front of the camera, including from shifting cloud cover, birds and animals, TrailGuard AI only sends images to the rangers when a person or vehicle is detected. Limited false-positives means rangers have more time to focus on their work, instead of spending their time looking through hundreds of false alerts each day.
  • Long battery life: The Intel Movidius VPU powers all of TrailGuard AI’s processing needs – from wake-on-motion to image processing to AI inference to communication protocols — all while running at very low power. It is designed to perform in the wild for up to 1.5 years without depleting the battery. This is a great improvement over the original TrailGuard that has a separate computing unit requiring rangers to undertake the time-consuming and often dangerous task of field maintenance every four to six weeks. TrailGuard AI’s long battery life also means less foot-traffic around the hidden cameras, which could alert poachers to their locations.
  • Small in size: Due to the miniscule size of the Intel Movidius VPU, TrailGuard AI is about the size of a pencil and easier to hide and camouflage from poachers and wild animals.

“The Intel Movidius VPU allowed us to revolutionize TrailGuard AI by adding artificial intelligence to a proven end-to-end solution to stop illegal poaching around the world,” said Eric Dinerstein, director of biodiversity and wildlife at RESOLVE. “In addition to providing the AI technology, Intel engineers worked closely with us to build, test and optimize this incredible anti-poaching solution that will make a real difference in saving animals.”

Where TrailGuard AI is Deployed: In partnership with the National Geographic Society, Leonardo DiCaprio Foundation and others, TrailGuard AI will be deployed in 100 reserves in Africa throughout 2019, starting with Serengeti and Garamba, with plans to expand to Southeast Asia and South America.

“Edge computing technology has the power to revolutionize the way we understand and protect our natural heritage,” said Dr. Fabien Laurier, vice president of National Geographic Labs. “National Geographic is excited to work with Intel on TrailGuard AI and deploy these anti-poaching systems throughout Africa. This collaboration is critical to accelerating conservation and working toward our mission of achieving a planet in balance.”

More Context: Fighting Illegal Poaching with a Purpose-Built AI Camera (Case Study) | RESOLVE | Artificial Intelligence at Intel

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Intel Connected Logistics Platform Helps Prevent Package Loss or Damage in Transit

iclp 2x1What’s New: Intel announced today the Intel® Connected Logistics Platform (Intel® CLP), a cost-effective internet of things (IoT) solution enabling users to monitor the condition and location of assets in any environment throughout the supply chain. With PA Consulting* and Google Cloud*, Intel® CLP can benefit businesses with near real-time supply chain visibility, while monitoring the quality, integrity and security of their shipments while on the move. Intel CLP provides near real-time supply chain visibility, while monitoring the quality, integrity and security of freight during every step in the supply chain.

“The Intel Connected Logistics Platform provides our clients a powerful solution across a range of different industry sectors for unprecedented real-time transparency of shipment progress and conditions. Some evaluations include findings of temperature excursions for more than 60 percent of the shipment duration, with route and duration improvement opportunities of up to eight hours on a 36-hour shipment. They are also finding significant deviations in shock measurements, up to a doubling in g-forces experienced by sensitive products, depending on the truck and road quality.”
–JJ Van der Meer, partner at PA Consulting

Why It Matters: There is a strong need for transparency and integrity throughout the supply chain. Consumers ask for detailed shipment tracking; businesses ask for integrity control, especially for sensitive and high-value goods; and logistics companies need transparency for ongoing optimization of networks and assets. All of these requests can be achieved with the availability of valuable granular, real-time, reliable IoT data.

How it Works: Companies can use this data to mitigate risk in near real-time, extract actionable insights, and perform trend and predictive analytics. Companies can also optimize across all three of these criteria and significantly improve their efficiency and reduce supply chain costs. The flexibility of the solution allows for quick integration while solving a wide range of asset-tracking industry challenges.

What This Delivers: Intel is already making an impact across a range of industries:

  • Perishables: For Driscoll’s,* a California-based seller of fresh berries, quality and temperature control of produce is critical for longer shelf-life. By using Intel CLP, Driscoll’s was able to see temperature variations across different vendor trucks and track temperature fluctuations, humidity effects, shelf-life and third-party logistics performance. Intel CLP can also help reduce customer shipment rejections due to temperature excursions and deteriorated quality.
  • Specialty Products: For International Flavors & Fragrances, Inc.* (IFF), product traceability is a key challenge when products are shipped through land, air or sea. Using Intel CLP, IFF tracked shipments in near real-time and provided first-hand visibility into cold chain performance for shipping sensitive temperature-controlled products. IFF was also able to track product exposure to environmental elements and handling during cross dock situations, and quickly relay customs delays or rejections.

Intel is scaling via multiple ecosystem channels, including cloud service providers, system integrators, OEMs and vertical solution integrators. Intel also offers a streamlined partner training and onboarding program for faster time-to-market.

More Context: Intel Connected Logistics Platform

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2018 Yearbook: Top Moments of Intel’s 50th Year

2018 yearbook 2x1

In 2018, Intel achieved the 50-year milestone, a huge accomplishment that most companies never achieve.

As the year ends, Intel’s 100,000 employees look back at 2018 with pride. But our focus is firmly fixed on building a smarter, more connected future for our communities and the world.

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Intel Study: Applying Emerging Technology to Solve Environmental Challenges

todd bradyBy Todd Brady

Technology and environmental sustainability leaders must work together on collaborative solutions to unlock the power of emerging technology to address the challenges of environmental sustainability, including those related to climate change and responsible water management.

These aren’t small or simple tasks. For example, with droughts resulting in billions of dollars’ worth of damage, access to clean water is an important global issue.

To better understand how emerging technologies can be applied today and in the future, Intel and the research firm Concentrix recently conducted a study of more than 200 business decision-makers working in environmental sustainability. The study revealed that the majority are optimistic about the power of these technologies: 74 percent of respondents agree that artificial intelligence (AI) will help solve long-standing environmental challenges; 64 percent agree that the internet of things (IoT) will help solve these challenges.

Despite the promise technology holds, the survey also reveals barriers preventing broader adoption of these solutions for sustainability. Respondents cite cost as the top challenge for implementation at 33 percent, followed by regulatory approval at 17 percent. Additionally, just under half of respondents in the survey say they don’t know about or aren’t using emerging tech to support their water conservation strategies.

At GreenBiz’s Verge Conference: Where Technology Meets Sustainability, we convened a workshop with sustainability and technology leaders from a variety of organizations spanning academia, the Fortune 500, private-sector companies and environmental nonprofits to examine these survey findings and discuss solutions to perceived barriers. Ideas included:

  • Realizing that cost is not a barrier, but rather one of the fundamental reasons to adopt emerging technology solutions as they have the potential for long-term savings.
  • Creating shared supply chain goals and standards while also collaborating with customers to create greater environmental impact.
  • Sharing learnings from past mistakes through ongoing collaboration to build new systems that are more resilient and efficient.

To accelerate solutions’ deployment and realize their full potential, public and private organizations need to reduce the barriers to implementation and bridge the awareness gaps regarding cost-effective solutions that already exist today. In doing so, we’ll unlock greater access to environmental data for decision-making and new insights into our collective impact on the environment.

As a leader in emerging technologies – from AI to IoT to 5G communications – Intel is uniquely suited to build the foundation that will enable innovations across the environmental sustainability field. For the last few years, we’ve been working with partners to develop solutions to address many environmental challenges, such as smart city IoT technologydigital solutions that use natural resources more efficiently, and smart, green buildings.

Last year, we announced our commitment to restoring 100 percent of our global water use by 2025. One year in, we have funded 14 water projects across California, Arizona, New Mexico and Oregon, that, once complete, are expected to achieve approximately 56 percent of our goal. For example, in central Arizona, we have been working with a local farmer to pilot IoT sensors to monitor soil moisture and local weather conditions, aimed at reducing water usage.

In Costa Rica, Intel is using drones to re-create 3D models of forests’ surfaces, gathering information about tree health, height, biomass and other factors to estimate the amount of carbon they store. The result is an innovative interpretation of highly precise information about carbon capture and its implications for scientific research, management, conservation, monitoring and other uses.

As a society, we continue to face enormous environmental challenges. However, the actions we take today can arm us with the tools to adapt to our changing world, preserving our natural resources and quality of life for future generations.

And here at Intel, we will continue to encourage collaboration across organizations. It’s the only way to drive true transformation and create positive change for the environment.

To see full details of our progress to date, read Intel’s most recent Corporate Responsibility Report.

Todd Brady is director of Global Public Affairs and Sustainability at Intel Corporation.

Photo caption: Internet of things sensors at a hazelnut orchard in Oregon monitor moisture and reduce water use. (Credit: Intel Corporation)

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Intel Artificial Intelligence Opens Door to Mobility for Quadriplegic Community

Wheelie 7 4

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What’s New: With HOOBOX Robotics’ Wheelie 7* kit powered by Intel artificial intelligence (AI) technologies, people can control their motorized wheelchairs with simple facial expressions. There are more than 60 people in the United States testing the Wheelie 7 – most of whom are quadriplegics, people with amyotrophic lateral sclerosis or senior citizens.

“Today on International Day of Persons with Disabilities, it’s important to recognize the ways technology can help people regain mobility and control of their lives. The Wheelie 7 kit from HOOBOX Robotics is a great example of using AI to enable people with limited mobility to move around using natural facial movements.”
– Anna Bethke, leader of AI for Social Good, Intel

How It Works: Taking just seven minutes to install, the Wheelie 7 kit allows users to pick from 10 facial expressions to control their motorized wheelchair – moving forward, turning and stopping. Instead of invasive body sensors, the Wheelie 7 uses a 3D Intel® RealSense™ Depth Camera SR300 mounted on the wheelchair to stream data that AI algorithms process in real time to control the chair. Given the importance of immediate responsiveness, HOOBOX uses Intel® Core™ processors and the Intel® Distribution of OpenVINO™ Toolkit to accelerate the inferencing of facial recognition software.

“The Wheelie 7 is the first product to use facial expressions to control a wheelchair. This requires incredible precision and accuracy, and it would not be possible without Intel technology,” said Dr. Paulo Pinheiro, co-founder and CEO of HOOBOX Robotics. “We are helping people regain their autonomy.”

Why It’s Important: The National Spinal Cord Injury Statistical Center estimates there are approximately 288,000 people in the United States living with spinal cord injuries, and about 17,700 new cases every year. A 2018 study found that physical mobility has the largest impact on the quality of life for people with spinal cord injuries. Mobility is often enabled through caregivers or through a motorized wheelchair with complex sensors placed on the body that require special education to operate. The Wheelie 7 uses AI and a camera, without invasive body sensors, providing users with independence and control over their location.

More Context: The Wheelie 7 | Artificial Intelligence at Intel

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New Intel-Based Artificial Intelligence Imaging Solution to Accelerate Critical Patient Diagnoses

healthcare imaging 2x1

What’s New: Intel and GE Healthcare* are teaming up to deliver artificial intelligence (AI) solutions across multiple medical imaging formats to help prioritize and streamline patient care. By leveraging the Intel® Distribution of OpenVINO™ toolkit running on Intel® processor-based X-ray systems, GE Healthcare is accelerating deep learning with medical imaging at the point of care. Using this system, X-ray technologists, critical care teams and radiologists will be immediately notified to review critical findings that may accelerate patient diagnosis.

“With the OpenVINO toolkit running on existing Intel processors, in early testing GE Healthcare achieved a 3.3 times improvement in deep learning optimization, which enables early prioritization and escalation of critical conditions to ensure faster treatment for our patients. Intel technologies will enable GE Healthcare to extend AI solutions across multiple imaging modalities to transform radiologist workflows and patient care.”
–Keith Bigelow, SVP of Edison Portfolio Strategy, GE Healthcare

Why It’s Important: Medical imaging is the largest and fastest-growing data source in the healthcare industry. It accounts for 90 percent of all healthcare data – and more than 97 percent of it goes unanalyzed or unused1. Before now, processing this massive volume of medical imaging data could lead to longer turnaround times from image acquisition to diagnosis to care. Meanwhile, patients’ health could decline while they wait for diagnosis. Especially when it comes to critical conditions, rapid analysis and escalation is essential to accelerate treatment.

By deploying deep learning solutions on existing infrastructure, optimized with Intel AI software solutions, GE Healthcare has the potential to power more efficient and effective care, enhance decision-making, and drive greater value for patients and providers.

Why It Matters: One key implementation of this technology is providing earlier detection of a collapsed lung, also known as “pneumothorax” – a potentially life-threatening event. Radiologists can now deploy optimized predictive algorithms that scan for and detect pneumothorax within seconds at the point of care, allowing rapid response and reprioritization of an X-ray for clinical diagnosis.

What the Results Show: In early testing, when GE Healthcare employed the OpenVINO toolkit on its pneumothorax models, pneumothorax detection on its Intel processor-based X-ray system accelerated by 3.3 times compared with models without OpenVINO toolkit optimizations. Optimizations improved performance across models, with the pneumothorax model receiving the most benefit. Overall pneumothorax detection dropped from just over three seconds to within seconds.

More Context: GE Healthcare Accelerates Pneumothorax Detection at Point of Care with Intel AI (Whitepaper) | Intel at RSNA 2018 (Blog) | Artificial Intelligence at Intel

The Small Print:

System test configuration: Intel® Core™ i5-4590S CPU @ 3.00GHZ, x86_64, VT-x enabled, 16GB memory, OS: Linux magic x86_64 GNU/Linux, Ubuntu 16.04 inferencing service docker container. Testing done by GE Healthcare, September 2018.

Intel technologies’ features and benefits depend on system configuration and may require enabled hardware, software or service activation. Performance varies depending on system configuration. No computer system can be absolutely secure. Check with your system manufacturer or retailer or learn more at Intel.com.

Software and workloads used in performance tests may have been optimized for performance only on Intel microprocessors. Performance tests, such as SYSmark and MobileMark, are measured using specific computer systems, components, software, operations and functions. Any change to any of those factors may cause the results to vary. You should consult other information and performance tests to assist you in fully evaluating your contemplated purchases, including the performance of that product when combined with other products. For more complete information, visit: http://www.intel.com/performance

1http://newsroom.gehealthcare.com/beyond-imaging-ai-imaging-innovation/#_ftn1

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Intel and Tencent YouTu Team on Artificial Intelligence Products to Deliver Customer Insights

tencent youbox

What’s New: Today at the Tencent Global Partner Conference*, Remi El-Ouazzane, vice president and COO of Intel’s AI Products Group, announced new artificial intelligence (AI) collaborations with Tencent YouTu Lab*: DeepGaze*, an AI camera, and YouBox*, an AI box.

“With artificial intelligence, enterprises can gain new insights about their customers to both elevate the users’ experience and drive business transformation. Tencent’s new AI camera solutions take advantage of powerful Intel® Movidius™ Myriad™ technology to enable deep neural networks to run directly on the cameras, providing real-time and actionable data for various businesses, including retail and smart buildings.”
– Remi El-Ouazzane, Intel vice president and chief operating officer of the AI Products Group

How Intel Powers DeepGaze: Powered by the Intel Movidius Myriad 2 vision processing unit (VPU), the DeepGaze AI camera provides retail businesses with data about how shoppers move around the store and the number of shoppers in the store at various times of day. The smart cameras handle the pre-processing and object detection, with relevant data transferred to Tencent’s cloud, based on Intel® Xeon® Scalable processors, for deeper analytics.

How Intel Powers YouBox: Retailers with older in-store camera systems can upgrade to intelligent analytics by connecting up to 16 cameras to the YouTu AI box to add AI visual intelligence to their systems. YouBox is powered by the Intel Movidius Myriad X VPU, which features a dedicated hardware accelerator for neural network inference.

“Intel is the perfect partner for our flexible enterprise solutions. Based on Intel Movidius Myriad VPUs, the YouTu camera and box perform inference at the edge in tandem with Intel Xeon Scalable processors in the cloud to provide cost-effective and flexible solutions for verticals including retail and construction,” said Simon Wu, general manager of Tencent YouTu Lab.

Why It’s Important: Customer analytics, enabled by AI, can help retailers predict sales performance based on trends and real-time tracking of shoppers’ activity and product turnover. They can also automatically alert store employees to restock shelves without the need for time-consuming, manual inventory management. In turn, this helps the retailer personalize and improve on the customer experience because they will know right away if the product is in stock, where it is located or if they need to have it shipped.

More Context: Use Technology Wisely to Reduce Friction For Your Customers (Intel’s Joe Jensen on Forbes.com) | Artificial Intelligence at Intel

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Intel Tech Learning Lab Starts Tour to Shape Education’s Future

Intel Tech Learning Lab 1

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What’s New: Sharing an immersive, technology-based approach to education, Intel’s Tech Learning Lab begins a multi-city experiential tour today for students and teachers. The nationwide tour starts at the Bronx Academy of Letters in New York City.

“Intel is addressing the needs of educators through advanced technology that enables effective and dynamic classroom experiences and drives students’ skills development to prepare them for the demands of the future workforce.”
–Raysana Hurtado, education segment manager at Intel

What It Is: Intel’s Tech Learning Lab is a custom-built mobile container truck outfitted with virtual reality (VR) demo stations, powerful PCs, augmented reality (AR) and Internet of Things (IoT) smart whiteboards. Accompanied by immersive, hands-on workshops featuring artificial intelligence, coding and robotics, it will make stops at schools and other education institutions through Dec. 15.

Why It’s Important: Intel will bring innovative teaching methods to educators to help them build the leaders of tomorrow by developing fundamental career skills like communication, collaboration, self-awareness, problem-solving, critical thinking and more.

Today’s students live in a digital world. Modern teaching methods need to reflect this, with technology as a seamless integration applied across all areas of instruction. Despite the indisputable need for a sophisticated workforce, schools across the country are stuck using technologies and instructional models of the past to prepare students for careers of the future.

The Tech Learning Lab tour is designed to engage with educators and spark conversations that go beyond the classroom to fuel curiosity about the role of technology and its impact on our world and daily lives. Hands-on virtual lessons spanning arts, science and other subjects will introduce students, teachers and administrators to the power of technology as an instructional tool for the 21st century.

Why Now: The U.S. education system is changing, with drastic cuts to arts education; the rise of science, technology, engineering and math education (STEM); and innovative new models. Until now, classroom technology has been used as an add-on to existing instructional methods rather than as tools to improve or revolutionize instruction.

Cutting-edge technology-based educational programs can emphasize deeper collaboration and engagement, versus student instruction on software that likely will be obsolete by the time they enter the workforce. The future classroom is one that incorporates powerful technology and encourages creative approaches to learning, supporting education goals today and for tomorrow.

Where It will Visit: Intel’s Tech Learning Lab continues at schools across the country, with visits planned to:

  • Weston High School, in Weston, Mass. (Nov. 7-9)
  • Ron Clark Academy, in Atlanta (Nov. 15-16)
  • Design39Campus, in San Diego (Nov. 29-30)
  • McClymonds High School, in Oakland, Calif. (week of Dec. 3rd)
  • Oakland Tech, in Oakland, Calif. (week of Dec. 3rd)

More Context: For full details on the technologies featured throughout Intel’s Tech Learning Lab, visit the tour fact sheet.


» Download video: “Tech Learning Lab (B-Roll)”

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Intel and Arm Share IoT Vision to Securely Connect ‘Any Device to Any Cloud’

lorie wigle

By Lorie Wigle

The Internet of Things (IoT) is transitioning from first proof-of-concept deployments into a new growth phase that is expected, according to industry analysts, to deploy 1 trillion devices by 2035.1 What is driving these lofty projections are the incredible business benefits that will be achieved with data-driven IoT initiatives such as edge computing, artificial intelligence (AI), predictive maintenance and autonomous systems. The more data that is collected, the more valuable the data becomes. However, this model may not be realized unless the industry can collaborate on more open and scalable methods to securely provision devices and their data to the cloud.

To answer these challenges, Intel is teaming up with Arm* to provide solutions to securely onboard2 both Intel and Arm IoT devices to any application or cloud framework.

First, let me walk you through the traditional manual onboarding process for IoT devices, which has multiple challenges. It typically takes more than 20 minutes per device and involves coordination among installation technicians, IT network/security operations and operational technology teams. The device identity and network access credentials are either painstakingly preloaded into the device at manufacturing or configured in the field from a standard image using insecure human processes. Compounding the security issues are the proliferation of cloud-specific provisioning methods without a consistent hardware-protected device identity model. For IoT to scale to a trillion devices in less than two decades, this process must be faster, safer and more flexible.

Now, the solution: Last October, Intel® Secure Device Onboard was launched as the first solution that enabled a “late binding” approach to provisioning, where customers could dynamically discover their target cloud platform for provisioning seconds after the device is powered on in the field. The collaboration with Arm aims to extend this capability from Intel devices to include the Arm devices that commonly are deployed together by customers. This strategic collaboration of two major ecosystems is designed to provide the industry with a more flexible provisioning method that can be natively enabled in devices.

So how does it work? Watch the prototype video below that shows how Intel and Arm devices can be credentialed and provisioned in seconds to join any cloud application framework.

As a result, customers should be able to choose their onboarding systems of record without being locked into a single cloud provider’s provisioning method or a single device architecture. Flexibility can be built in before the device is purchased to onboard into any cloud ecosystem. Device management systems such as Pelion*, cloud/on-premise IoT platforms and connected partner ecosystems all benefit from increased variety of devices, lower cost and faster deployment. Device suppliers can simplify manufacturing to a single SKU that can be provisioned with customer-specific credentials in the field rather than in the factory, dramatically reducing cost while decreasing time to market.

“Intel and Arm are simplifying one of IoT’s most complex and challenging barriers with regard to streamlining the manufacturing and security deployment workflows for IoT. This is an ROI win for the customer, who will be able to deploy both Intel- and Arm-based devices at a lower cost and with less friction between IT and OT, while at the same time retaining flexibility over their data and cloud partner choice until the deployment phase,” said Michela Menting, director, ABI Research.

Learn more about the solution at IoT Solution World Congress’s smart building customer case study presentation and view the joint demo that is nominated for top TestBed award. You may also attend the technical presentation at Arm TechCon that will showcase the Pelion Device Management zero-touch experience. Intel and Arm are seeking customer and ecosystem feedback on the prototypes and expect to engage pilot customers later this year. Contact iotonboarding@intel.com for more information on the pilot programs.

Intel’s collaboration with Arm allows us to progress a joint vision of “any device, any cloud” to span multiple device architectures. As we enter this accelerated growth phase for IoT, we will continue to collaborate with technology vendors to provide customers the protections they need. On behalf of the entire Intel team, I thank our industry partners and customers for their ongoing support.

Lorie Wigle is vice president of Software and Services Group and general manager of Internet of Things Security at Intel Corporation.

1Trillion devices by 2035- source ARM white paper https://community.arm.com/cfs-file/__key/telligent-evolution-components-attachments/01-1996-00-00-00-01-30-09/Arm-_2D00_-The-route-to-a-trillion-devices-_2D00_-June-2017.pdf

2From out-of-box to securely streaming data to an IoT Platform

Intel technologies’ features and benefits depend on system configuration and may require enabled hardware, software or service activation. Performance varies depending on system configuration. No computer system can be absolutely secure. Check with your system manufacturer or retailer or learn more at https://www.intel.com/content/www/us/en/internet-of-things/secure-device-onboard.html.

Intel, the Intel logo, and Intel® Secure Device Onboard are trademarks of Intel Corporation or its subsidiaries in the U.S. and/or other countries.

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