Autonomous Cars Will Need “Autonomous Maintenance” Solutions

Nvidia Inception Program

Competition has begun heating up as to who will be the first one to operate a fleet of fully autonomous vehicles, as demonstrated again by recent announcements from General Motors (GM) and Uber.  However, a lot of work is still needed to allow such vehicles to roam freely throughout our city centers, neighborhoods and freeways, but they are in fact coming.

With autonomous vehicles begin to roll out, the need for remote monitoring will become imperative to ensure their longevity. Because passengers will no longer be concerned about the ongoing health of the vehicle and instead focused on getting from point A to point B safely. However, Mobility as a Service (MaaS) operators will need to maximize the availability of their fleets, which will require real-time insight as to the health of each vehicle on and off the road. Operators will also strive to minimize maintenance cost, which means sending vehicles to the shop when and only when service is required, at times when they would not otherwise generate revenue.

This analysis is already relevant for autonomous shuttles, which are being tested and deployed around the world. It will be all more important when tomorrow’s fleets of autonomous vehicles emerge for MaaS purpose. CARFIT’s NVH (Noise Vibration Harshness)-based, artificial intelligence (AI)-enhanced diagnostics and predictive maintenance solution will allow fleet managers to address these vehicle health-related issues to maximize customer satisfaction while minimizing cost.

NVIDIA has achieved a leading position in recent years within the autonomous driving computing hardware space. They’ve focused on establishing vital working relationships with leading OEMs and industry partnerships with top companies such as Audi, Baidu, Tesla, Toyota, Volvo, and more. Announced this week, CARFIT’s participation in NVIDIA’s Inception Program will provide the startup with a unique platform to further the development of vehicle diagnostics and predictive maintenance solutions as well as critical exposure to NVIDIA’s partner network. In return, the tech giant will be able to leverage CARFIT’s expertise and technology to add value throughout its autonomous driving platform for a more seamless connected car experience.

Disclaimer: CARFIT is an alumnus of our ReadWrite Labs accelerator program. 

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Enterprises will spend $7 trillion on digital transformation by 2021

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Global enterprises will spend more than $ 7 trillion dollars in the next four years as they struggle to modernize, build a global technology foundation for growth, and support simple, secure, and reliable access to data and services, says the IDC.

The big drivers?

The usual suspects like cloud initiatives, big data analytics, and mobility. But, IoT is becoming a major investment focus, and so are automation or AI initiatives. Connectivity is always a part of the conversation here, as well as IT services and enterprise applications.


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In 2019 alone, global enterprises will spend $ 1.7 trillion on digital transformation. That’s up almost 50% from the $ 1.2 trillion they spent this year, according to IDC. Top industries include the manufacturing and transportation sectors, but professional services and healthcare firms are also driving increased investment. By 2021, investment will reach a staggering $ 2.1 trillion.

One thing is clear: A wide range of industries is investing in digital transformation.

Those top industries represent just slightly more than half of all the trillions of dollars of spending. The rest, about 46%, is spread among multiple other categories.

While it’s true that companies are investing in cloud and communications technologies to grow competitiveness in an era when every company is becoming a technology company, the sleeper investment might be what all this technology does to company culture.

Digital transformation, after all, improves speed to market, competitiveness, innovation capacity, and other critical areas of an enterprise. All of those depend on culture, and culture depends on people.

That’s the piece that’s often overlooked when transformation efforts yield mixed results.

Without the right people, and without the right culture, all the technology in the world won’t save a company. Collaboration tools enable cooperation and communication, but they don’t mandate it.

All of which means that enterprise transformation includes technology, but needs to consider culture.

We’re looking to bring together key executives for a collaborative round table on digital transformation over dinner in Silicon Valley. Comment here to join me on the evening of February 13th!

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CARFIT And CEA Create A Joint Lab On Artificial Intelligence

CARFIT and CEA Partner

CARFIT and CEA have signed an agreement to create a joint laboratory focused on Artificial Intelligence related to car vibrations and their interpretation. The lab will bring together teams from the List, a CEA Tech Institute, and from CARFIT to share knowledge and expertise. The joint lab will be dedicated to the development of artificial intelligence methods for identifying signs of mechanical failures exposed by car vibrations.

CARFIT develops technological solutions to simplify mobility, by proposing real-time car monitoring to offer a smart maintenance system, adapted to the driver’s car use. The CARFIT team is comprised of automobile specialists, scientists, and artificial intelligence experts. CARFIT wants to further develop its predictive maintenance expertise by exploiting automobile vibration data analysis.

As a major research player at the national and international level, the CEA fulfills its industry competitiveness mission through CEA Tech, the CEA Technological Research Division. More specifically, the List institute carries out research on smart digital systems. The List’s teams already lead research projects on in-vehicle systems, interactive systems, and sensors and signal processing. As a Carnot institute (TN@UPSaclay), the List’s collaboration with CARFIT joins Carnauto spinneret action to strengthen competitiveness and attractiveness of the companies of the automotive domain by facilitating their access to the innovation.

The activities of CARFIT and CEA are thus complementary, enabling a fruitful collaboration on automobile predictive maintenance by vibration analysis. The two partners have therefore agreed to conduct a common R&D, leading to the design and development of optimized, innovative solutions of predictive maintenance for light-duty vehicles (authorized loaded weight not to exceed 3.5 tons).

“As an autotech startup, the creation of a joint lab with the CEA is a key milestone for CARFIT. This lab will extend our capabilities in Artificial Intelligence beyond what we could have done alone and opens up opportunities within the automotive ecosystem already in collaboration with the CEA.” says Nicolas OLIVIER – CEO of CARFIT.

“The List institute contributes to the automotive revolution through the autonomous and connected car and the development of digital services.” declares Philippe Watteau, Directeur de l’Institut List. “The Artificial Intelligence is at the heart of this revolution and our collaboration with CARFIT is going to open the way to the maintenance of tomorrow which will be predictive and as a service.”

This cooperation opens the way to the development of innovative architecture taking advantage of the deep learning to improve the diagnostic accuracy, to anticipate the failures and to maximize the mechanical defect coverage of vehicle components by vibration analysis.

Disclaimer: CARFIT is an alumnus of our ReadWrite Labs accelerator program. Kyle Ellicott is also an advisor to the company.

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The Promise of Artificial Intelligence-Enabled IoT

microsoft-in-iot

The next technology revolution is underway. Advances in artificial intelligence (AI) and machine learning coupled with more robust and competent devices is driving transformation across industries and workstreams, from small farms in India to huge corporations in the United States.

So what kinds of changes are underway and what does AI-enabled Internet of Things (IoT) offer businesses across industries? For a full discussion on this, I’d suggest attending the upcoming IoT in Action event in San Francisco on February 13 (more on that later). For this article, we’ll look to Microsoft’s Chief Storyteller, Steve Clayton, who touches on some key areas.

The rise of AI

AI has been around for decades. But as Steve summarizes in his interview, there have been three crucial breakthroughs that have pivotally propelled AI and the ability for computers to interact with their environments in a more human-like way.

First, is big data. A massive pile of data is being generated from devices like sensors, PCs, phones and the like that can inform AI. Second, cloud computing has come a long way—these days, there is infinite cloud-computing capability. And third, there have been substantial breakthroughs in AI and machine learning, including deep neural networks. Combined, they have set the stage for AI-enabled IoT.

Enabling devices on the edge

In addition to the three breakthroughs Steve references, a fourth is now bringing IoT to the edge. Up until recently, AI and machine learning happened in the cloud. It required device connectivity. But that is changing. AI computing is increasingly moving onto the IoT devices themselves, reducing dependence upon the cloud.

In his interview, Steve calls out a great example of how edge devices are transforming even industries not traditionally considered to be technologically advanced, such as farming. Farmers are always looking for ways to become more precise. They need data on soil temperature, density, and moisture—all vital information for making decisions around when to plant or rotate crops. But, how do you gather data across an environment where you have inadequate cloud connectivity?

The answer is AI-enabled edge devices. A Microsoft project called FarmBeats puts IoT technology in the hands of farmers, who use sensors out in the field to collect data. These sensors perform computing on their own and store the information for later use, removing reliance on the cloud and enabling more informed decisions.

Transforming job opportunities

Of course, while IoT is enabling business across every industry in countless unique scenarios, like every technology innovation it is also generating shifts in the job market. While historically, automation has led to displacement, it has also led to new career opportunities we had never dreamed of being created.

The same is true for AI-enabled IoT. Technology leaders like Microsoft are anticipating these shifts and partnering with governments and other institutions. By working together to plan for changes in the job market, employees can train to acquire the skills they need to transition into new roles, while employers get qualified employees who can drive the business forward.

The same concept applies to advancements in machine learning, AI, and IoT. New jobs are appearing today that we have never before considered, like roles that examine bias in AI. Furthermore, the industry promises to generate an entirely new set of career opportunities in the next three to five years that we have yet to define.

Attend IoT in Action – February 13 in San Francisco

As IoT continues to advance, we can expect to see increasingly affordable and accessible AI-enabled solutions across all industries and in every size of a business in countries all around the world. And now is the time to transform your business with IoT.

To get started, I’d highly recommend that you register for the next IoT in Action event on February 13 in San Francisco. Delivered by Microsoft and ReadWrite, this free one-day event will give you the insights you need to make AI-enabled IoT work for you. Find out how big the IoT opportunity is and how to make your mark in the industry.

Watch an IoT solution come to life as a team transforms an ordinary refrigerator into a scalable smart cooling service. Explore how to overcome key security gotchas. Plus, connect with partners who can help you take your IoT solution from concept to reality.

Watch the interview with Steve Clayton, Microsoft’s Chief Storyteller here:

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Internet of Things in Healthcare: What are the Possibilities and Challenges?

Internet of Things in Healthcare

Technology has disrupted every industry including healthcare, business, finance and others. Healthcare remains the fastest to adopt technological changes to revolutionize the diagnosis and treatment of the body. When we talk about the Internet of Things (IoT), it offers a multitude of benefits such as improving the effectiveness and quality of services by deploying it in medical devices.

Have a look at few of the statistics revealing the use of IoT in healthcare and the overall impact on the industry.

  • Nearly 60% of healthcare organizations have introduced IoT devices into their facilities
  • 73% of healthcare organizations use IoT for maintenance and monitoring
  • 87% of healthcare organizations plan to implement IoT technology by 2019 which is slightly higher than the 85% of businesses across various industries
  • Nearly 64% use of IoT in the healthcare industry is patient monitors
  • 89% of healthcare organizations have suffered from IOT related security breach

It has a widely known that interconnected devices are being used in such ways as gathering data from fetal monitors, blood glucose levels, electrocardiograms and temperature monitors. However, some of these tools require follow up communication with a healthcare specialist.

Moreover, the majority of hospitals have invested in introducing smart beds to determine whether it’s occupied or not. When we talk about the Internet of Things, there are concerns regarding the data privacy and security. However, it doesn’t matter as far everyone is getting the right treatment, and the patients and doctors work in complete harmony.

How healthcare industry can harness the power of IoT and set the stage for highly accessible, personalized and on-time healthcare services for everyone. Have a look at it.

Cutting Cost through Remote Health Monitoring

The number one benefit of adopting IoT in a healthcare organization is cost reduction. Healthcare specialists can take advantage of remote health monitoring without the patient being present in the hospital. No matter, whether the patient is at home, in the office or some other part of the world, healthcare specialists can monitor the patient’s health and provide recommended treatments.

Thus, it can reduce the workload of healthcare providers who can’t bear the flooding of patients each day. Moreover, the shortage of staff at medical health centers would never disrupt the checkup of patients. IoT can also be helpful in third world countries where health facilities are inaccessible. It can also be useful in areas hit by flood, earthquake, tsunami or hurricane. Overall, the impact of this technology will offer better health facilities, no longer specific to particular regions but globally.

Collecting and Understanding Medical Data

During a patient’s stay, they are tangled in medical devices including heart monitors, blood pumps, respirators, and IVs. However, the operation and recording of information from these devices take a lot of time and are prone to errors on behalf of caregivers.

Today, with IoT a patient’s data can be conveyed through Electronic Health Record systems automatically. This method helps in increasing the accuracy of data and allows nurses to spend more time providing care.

On the other hand, doctors have to interpret data to decide the cure for patients. Due to the increase of medical devices, it can be challenging for doctors to come up with a proper diagnosis. For this, an IoT solution can be used to support health practitioners while combining IoT data from a multitude of medical devices and gain insights about patient’s health, without scattering the information.

Patient Monitoring

The evolution of wearable health gadgets like the Apple iWatch has begun playing a pivotal role in the monitoring of an individual’s health. Still, these products are sometimes not as accurate compared to general medical equipment.

On the other hand, wearable IoT devices can analyze and detect different health points such as blood pressure, heartbeat, brainwaves, temperature, physical position, footsteps and breathing patterns. With the help of data collected through IoT devices, doctors can share their feedback and give general suggestions in the case of an emergency.

Although, the IoT is revolutionary in the healthcare sector, there are few challenges as well that needs to be kept in mind. Have a look at them.

Challenges of IoT in Healthcare

Security Threats

The primary concern for regulatory bodies is the security of Personal Health Information, stored and conveyed through connected devices. While many healthcare organizations make sure that the sensitive data is stored in a secure and encrypted manner, they do not have control over the safety and security of the data access points being used to transmit the data. This creates a significant threat that increases gradually based on the number of new devices connected to the network.

Multiple Device Integration

Multiple device integrations is also an obstacle to the successful deployment of IoT in healthcare. Today most health devices and equipment within hospitals need to be connected to collect data of the patient. For instance, if a person is suffering from heart disease, he/she may be suffering from high blood pressure as well.

The most prominent challenge is that device manufacturers have not agreed upon set of protocols and standards. As various mobile devices are connected to the network for the collection of data, the difference in protocols results in complicating the process of grouping the information. The lack of homogeneity among the medical devices reduces the successful implementation of IoT in healthcare.

Inferring Results from Immense Data

The process of aggregating and collecting data is attached to many complexities. Though the combined data results can help in deriving new conclusions inferred from the patient’s record. However, coming up with the results from such a significant amount of data is quite challenging, without refined analytics program and data experts.

Identifying valuable and actionable data is critical as most of the medical specialists and physicians find it difficult to conclude with the growth of data. The decision-making process with rapidly increasing data lacks quality. Moreover, the concerns are becoming bigger and bigger with the growth of some connected devices that continuously collect and generate big data.

Conclusion

IoT will undoubtedly transform the health industry and the way patients are treated. Not only will it benefit doctors and other specialists, but people who have no access to the basic health facilities. Addressing few problems such as data security will revolutionize the health industry without breaching the privacy. Let’s embrace technology as a blessing instead of a curse and see what happens in the coming years.

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