Industry 4.0 and the Industrial Internet of Things (IIoT) are already being implemented across multiple industrial vertical markets spanning automotive, consumer goods, oil and gas, utilities, pharmaceuticals, food and beverage, and many more. Wireless connectivity continues to be a key component of this transition, providing powerful and pervasive communications across machines, people, and objects. 5G is poised to have a transforming influence in industrial manufacturing, particularly for private on-premise 5G solutions as well as public 5G. This represents one of the most significant opport ..read more

Education In Transition The unforeseen circumstances of COVID-19 are creating new expectations for schools, teachers, parents and students. It has shined a bright light on our education systems and unfortunately exposed some substantial issues. From inequitable access, inconsistent lesson instruction and varied learning delivery, if ever there was a moment for schools and the technology community to come together to address modern education, it is now. We have an opportunity to rethink education by helping educators improve the classroom experience. Building a modern foundation that includes a ..read more

New use cases are emerging for IoT devices in the retail and hospitality sectors, ranging from innovative payment options to elevated support structures for curbside pick-up and food delivery services. When asked about self-check-out and contactless payment, Intel VP & GM of IoT, Joe Jensen, was quick to make it clear that, “at Intel, we’re working hard to enable our end customers to deliver those kinds of services and capabilities in whatever way consumers want.” To help showcase the numerous ways that Intel technologies are helping move the retail industry forward, we’ve collaborated wit ..read more

We’re coming up on the second anniversary of Intel Distribution of OpenVINO toolkit, which makes this the perfect time to look at the past, present, and future of the toolkit that’s helping companies worldwide accelerate the performance of their AI and computer vision applications. First, a little about the past: Intel Distribution of OpenVINO toolkit started as a computer vision and deep learning software development kit (SDK). It was an open source product from the start, initially used by printer vendors to analyze static images and in IoT edge solutions to analyze camera video streams. Ove ..read more

The pace of innovation is quickening across all industries, including manufacturing and the intelligent factories of Industry 4.0. Unlocking the value of data via machine learning is propelling us into this next phase, and innovations in industrial IoT devices are helping manufacturers continually enhance operational efficiency. Robotics already play a central role in this new era of hyper-agility and autonomous production, and their importance to industrial processes will continue to grow. Between 2017 and 2027, the projected compound annual growth rate of commercial robots will be 63.2 perce ..read more

Medical imaging data contains the power to save lives. Every tiny sliver of an image potentially holds the key to hugely important breakthroughs in treatment. And this year alone, hospitals produced over 50 petabytes of data, with images making up over 90% of that!¹ That’s a treasure trove of information. But without a simple, efficient way to process and analyze it, this digital wave can turn into an avalanche and bury clinicians beneath caseloads of complex images. Consider this: Of those 50 petabytes of data, less than 3% are actually analyzed and put to use.¹ Turns out it’s hard to wring u ..read more

In the ultra-competitive quick-service restaurant (QSR) industry, profit margins are often perilously thin, meaning margin for error is virtually nonexistent. Even for multinational brands operating on a huge scale, everything matters and the smallest inefficiencies can quickly snowball. With partners like Fingermark* and other world leaders in digital transformation, Intel is helping QSRs minimize these inefficiencies and maximize their opportunities to go above and beyond. QSRs average five to six incorrect orders per day, resulting in a net daily loss of USD 48 and a net yearly loss of USD ..read more

Enhanced customer experiences, more accurate supply chains—all made possible with computer vision and AI As we go into a new decade, savvy and visionary retailers will find new ways to bring new levels of efficiency and customer engagement to every touchpoint in the retail experience. They’ll achieve this through artificial intelligence (AI), computer vision, and other data-processing technologies. While much of this may be invisible to the customer—for example, computer vision–enabled solutions that can reduce theft, help ensure items are always in stock, or streamline operations in other way ..read more

From remote management to AI that puts an end to the “banana trick,” the latest capabilities make self-service kiosks incredibly convenient and deliver new experiences at stores, restaurants, banks, and more. Self-service kiosks have made it possible for retailers and quick-service restaurants (QSRs) to cater to more customers with less hands-on help from employees. They’ve also led to some surprising up-sell benefits—for example, customers are twice as likely to order dessert from a kiosk. A machine can’t pass judgment, after all. In banking, many consumers assume that kiosks are limited to a ..read more

Manufacturing success comes from greater visibility and deeper understanding of every part of the process, no matter how small. For many companies, innovations like computer vision, data analytics, and robotics systems have become integral to factory operations, creating new efficiencies that are disrupting existing value chains. Small, focused improvements are driving business transformation at an exponentially larger scale, and the barriers to deployment of AI-enabled Industrial Internet of Things (IIoT) solutions are constantly being lowered. Even so, technological innovation can often outp ..read more