Intel

Together, Honeywell and Intel have developed a IoT proof of concept (PoC) for the Connected Worker. The Connected Worker can take many forms - factory laborer, mine worker, first responder, firefighters and more. For each environment and worker role, a different selection of sensors may be appropriate to provide the most meaningful IoT-fueled dataset to represent that individual worker asset. As with most IoT solutions, it is critical to avoid being overwhelmed by a steady stream of meaningless data. Rather, it is essential to send select actionable intelligence to the cloud for visualization and customized alert notifications. The downside is that data from individual wearable devices - if viewed independently - can potentially cause false alarms and contribute to inefficiencies in a manpower as a result. Fusing sensor technology with big data processing (hub/gateway), analytics - all in the cloud - is the key to improving local intelligence as well as remote visualization of actionable intelligence.

DownUnder GeoSolutions (DUG) wanted to increase computing performance by 5 to 10 times to improve seismic processing. The solution must build on current architecture software investments without sacrificing existing software and scale computing without scaling IT infrastructure costs.

The vending industry is undergoing a sea change, taking advantage of new technologies to go beyond just delivering snacks to creating a new retail location. Intelligent vending machines can be found in many public locations as well as company facilities, selling different types of goods and services, including even computer accessories, gold bars, tickets, and office supplies. With increasing sophistication, they may also provide time- and location-based data pertaining to sales, inventory, and customer preferences. But at the end of the day, vending machine operators know greater profitability is driven by higher sales and lower operating costs.

Fleet managers are turning to predictive analytics to stay on top of maintenance and mitigate part failures before they happen. However, managing the large amount of new data generated by vehicle sensors is challenging.

• Difficult environment. Communications equipment on trains must function properly in harsh conditions, such as environment temperatures ranging from -25°C to +85°C, according to the EU standard EN50155.• Railway regulations. All products in a train must adhere to strict standards, relating to working vibration, power consumption, and lifetime.• Lengthy process. Time to market in the railway industry can take years from concept to mass production, so product design requires a solid long term vision.

Companies face falling revenues, rising infrastructure costs, and increasing risk of outages caused by inconsistent energy production from renewable sources. Less money is coming in as more people and organizations take steps to curb their energy use. Utilities are paying more to maintain and build infrastructure due to increasing complexity, resulting from the rising number of intermittent and variable renewable energy sources connected in the distribution grid. 

Have you ever felt overloaded by too much sensory input? The results can be problematic, even risky if you’re driving at the time. The same holds true for trains, ships, oil rigs, and many other industrial assets. The data processing challenges on these complex machines are growing rapidly as the number of sensors increases; yet so are the opportunities to transform operations by using all the available data effectively. A modern locomotive, for example, has as many as 200 sensors generating more than a billion data points per second.

Problem: Inefficient vehicle fleet management hinders business efficiency, employee productivity, and revenue growth opportunities. - Difficult to manage fleet operations, particularly in tracking their daily activities- Challenge for business owners to monitor their drivers’ behavior and daily productivity. Business owners need to ensure that their drivers are following business rules and policies. 

A modern locomotive, for example, has as many as 200 sensors generating more than a billion data points per second. Vibration sensors surround critical components, video cameras scan the track and cab, while other sensors monitor RPM, power, temperature, the fuel mix, exhaust characteristics, and more.Most of today’s locomotives lack sufficient on-board processing power to make full use of all this data. To make matters worse, the data from different subsystems, such as the brakes, fuel system, and engine, remain separate, stored in isolated “boxes” that prevent unified analysis. The data is available, but the technology needed to process it in the most effective manner is not. As new sensors are added to the machine, the problem escalates.

Of the 70 million corporate washrooms, 20 percent are equipped with environmentally unfriendly, inefficient, and unhygienic hand-dryers and around 80 percent offer expensive paper towels that create three million tons of waste. As such, reducing building management costs, boosting facility efficiencies, and cutting energy use is very lucrative. SAVORTEX has built the world's first IoT-enabled messaging hand-dryer to disrupt this inefficient sector and transform corporate washrooms into smart spaces. Built on Intel® technology, the SAVORTEX AdDryer* uses the Internet of Things (IoT) to deliver waste savings, alert cleaners to washroom needs based on usage, and engage consumers with tailored, high-definition video messages, allowing enterprises to transform costly commercial washrooms into connected, hygienic, and sustainable revenue-producing assets.ChallengesIngrained issues: High costs, inefficient maintenance, and energy consumption in washrooms make them difficult to manage. SAVORTEX wanted to solve multiple problems at once.Excessive waste: The prevalent drying choice of expensive paper towels significantly impacts the environment in both manufacture and disposal.Status quo: Conventional brushed-motor hand-dryers are energy-hungry and have a short life-expectancy so are costly to run, but finding budget to deploy new solutions on the necessary scale can be difficult.

Coor wanted an IoT solution to simplify office manager's job. The solution must require the following features: boost productivity, apply technology innovation, and consolidate management.

Intel’s sales and marketing organization strives to increase communications with resellers relating to new industry segments as they evolve and to encourage resellers to join webinars or conferences to gain a better understanding of Intel’s offerings for these new markets. Because sales and marketing teams must focus their resources on those resellers with the highest probability of generating sales, sending the right message to the right reseller helps drive value for the sales pipeline. We needed a machine-learning system to help our sales and marketing teams identify the best prospects within Intel’s large pool of resellers.

Since maintaining the confidentiality of human genetic data is of paramount importance to GenoSpace, the company has made security a top priority. In an environment where breaches involving healthcare data have reached alarming levels, GenoSpace understands the costly business impact of noncompliance with HIPAA patient privacy regulations and industry-leading data security practices. For example, the Identity Theft Resource Center’s 2014 annual list of security breaches points out that the medical/healthcare sector accounted for more than 42.5% of all the breaches listed, topping all other categories. Since reporting requirements began, the US Department of Health and Human Services has tracked 944 incidents involving approximately 30 million individuals. Along with the persistence and enormity of this problem comes financial fallout. For example, in its study, 2014 Cost of Data Breach Study: Global Analysis, the Ponemon Institute estimated that the average cost of a data breach in 2014 was $3.5 million, an increase of 15% over 2013. Additionally, the average cost per record across all sectors also increased, from $188 to $201—and the per capita cost for healthcare was the highest across all industries at $316 per patient. And the typical fine for a data breach runs up to $1.5 million per incident. The cost of breaches to the healthcare sector overall is estimated at $5.6 billion annually.

When manufacturers, such as the world's top car makers and automotive parts suppliers, produce components in their factories, traditional QA testing has been limited to verifying the quality of random parts pulled off the line throughout the day.It was time consuming to perform the detailed tests required, and defective parts could get through despite randomized tests.If a defective part caused a recall or accident, manufacturers could face costly litigation or irreparable damage to their reputation.

Maintain Momentum Airports need to keep billions of passengers moving every year, while aligning with strict security protocols. Improve Control Airport buses need careful and constant logistical management, with dispatchers tracking operational, capacity and geographic data for each bus. Enhance the JourneyPassengers appreciate being well informed about where to go next, so easily accessible and available details enrich their traveling comfort. 

In this case study, the challenge explored involves LeNet*, one of the prominent image recognition topologies for handwritten digit recognition.   In the case study, we dive into how the training tool can be used to visually set up, tune, and train the Mixed National Institute of Standards and Technology (MNIST) dataset on Caffe* optimized for Intel® architecture. Data scientists are the intended audience.

•Smart healthcare. Cascade3d wanted to integrate its analytics into an IoT platform so that data from sensors could be gathered, filtered, and analyzed to transform and optimize professional healthcare.• Education. IoT solutions are seen to be quite complex and can be daunting for less technical people, so adoption in the healthcare industry requires education as well as low barriers to use.• Data privacy. Especially when dealing with vulnerable individuals, the security of all data collected is paramount, as is sensitively dealing with this data.

As a pioneering IT enabler and technology driver, Intel’s objective was to demonstrate to clients that the modern data center operating environment does not require the level of cooling traditionally thought necessary to guarantee reliable performance. Given the significant energy cost and capital expense associated with cooling technology, there would be considerable potential for dramatically reducing TCO by designing and building data center facilities that run at a higher ambient temperature.Demonstrating the validity of this approach required an accurate and straightforward way to scientifically prove how TCO could be reduced without business risk or compromising IT performance. Intel needed a dependable solution that would rapidly allow a detailed assessment of the entire data center environment under varying workloads and conditions, holistically and at an individual component level.

Support more complex business needsBoth the increasing number of customers and more complex business demand a higher-performing acquisition planning system (APS) to ensure stable and reliable operation. Improve business agilityImprove the flexibility of the APS to increase business agility. Reduce costsEnhance the APS with better performance and higher scalability at a lower cost to enable the company's future development.