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How The Drone Industry Evolve In 2018

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Drones in 2018

Drones are a perfect example of how our technology has evolved and will continue to grow in the future. So, what exactly does it offer? For casual users, it is just a fun toy. However, drones have use cases in multiple fields, including safety, health, and industry.

Until now, drones have gone on a wild ride. It has been massively regulated by U.S. government considering the threats that it brings including spying. Moreover, drone safety had been a significant issue. But to completely understand drones, we need to understand both its advantages and disadvantages before making a final call on how they should be regulated.

For starters, there are good drones and destructive drones. Those drones that are created for good are being used to save lives, help improve business efficiency and use autonomous control so that the human limitation can be removed. Destructive or bad drones do the exact opposite and are harmful in one way or another.

In this article, I will try to understand the future of drones from the perspective of tech, security, and innovation.

Drone Technology

Drones have evolved rapidly in the last decade or so. However, drones are not new and existed from the 1930s. The modern era of drones started after 2001, and it is now slowly becoming part of our daily life. You can now own a drone only if your state laws allow you to do so.

So, what is next for drones? The answer depends on how artificial intelligence (A.I) can be used to make drones more useful. A.I. can help drones overcome the human limitation and make drones more useful in different sectors including industry, tech, delivery and so on. However, A.I. powered drones can also be used to kill humans, deliver drugs or worse spy on someone.

There has already been a lot of debate on how A.I. can provide drones with ultimate power. Elon Musk also called out on the ban on killer robots which can also include drones. But, we have to weigh the gains over a possible loss and should be used to improve the different levels of transportation, accessibility, and overall growth.

Drones can now be programmed to learn from mistakes. Learn to Fly by Crashing, a paper published by Carnegie Mellon University explores how AR drones 2.0  are learning by learning from their own mistakes. This is just one use case of how A.I. and big data are going to impact drones in future.

Another critical use case of drones that are going to evolve and get implemented is their use in the industry. Many big companies will use drones to inspect their infrastructure and send direct reports to the system. Furthermore, they are also equally useful for surveillance purposes. The delivery system will continue to be refined in future as currently, Amazon is testing the use of drones to improve the delivery system. Jeff Bezos, Founder & CEO of Amazon, says that the aim is to get items delivered in “60 minutes.

Regulatory Reform

Government regulations on drones have always been tight. However, 2018 can be the year when the laws become less stringent. The current regulations from Federal Aviation Administration (FAA) regulate drones such that they must be used within human sight. However, this regulation is binding at many levels as it will not allow commercial companies such as Amazon to use drones in their operation.

In 2017, the general perception towards drones changed as well as their purpose as such in recent natural disasters, fortifying their benefits. Now that change is progressing; the FAA needs to take note and began to set appropriate regulations for the future of this industry. Drones manufacturers will also play a role, by ensuring that their drones can navigate safely through an environment, especially rooftops, humans, vehicles, etc. To achieve this, current technologies need to be adapted to allow for autonomous navigation and self-learning capabilities.

Final Thoughts

Drones have evolved remarkably in the last decade or two. The commercial usage will only propel it towards mass adoption. 2017 has been the year where it is now impossible to ignore the benefit in natural disasters management and commercial spaces. With relaxation in regulations, more and more industries will adopt drones.

One more thing is how blockchain can be used to revolutionize drones. Recently, blockchain is impacting almost every industry. Drones can be the next thing that can utilize blockchain technology. We only have to wait and see if blockchain powered drones can become more secure, accurate and easily regulatable.

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VINCI Highways and CARFIT Partner To Strengthen Safety On Motorways

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CARFIT partners with VINCI Highways

As a specialist in predictive maintenance applied to the automotive sector CARFIT announces a partnership with VINCI Highways. Our latest product, CARFIT PULS, is a new connected vibration sensor marketed with a toll transceiver from VINCI Highways, to allow drivers to be better informed about the general state of their vehicles. This will increase a driver’s safety, and that of those driving on the VINCI managed highways.

Our CARFIT vibration sensor will also be used to monitor the condition of the undercarriage wear to parts such as the tires, wheels, shocks absorbers and brakes. The CARFIT PULS simply sticks on the back of the steering wheel. It communicates with an application and a chatbot on the user smartphones (Android/iOS) which provides the driver with maintenance alerts and maintenance recommendations.

CARFIT analysis technology compares the vibrations of a car to the standard of the car model to deduce diagnostic and replacement needs for the undercarriage wear parts which enhances safety.

Autotech startup based in France and in the United States which won the French Tech Ticket and has been accelerated by Plug and Play Tech Center in Sunnyvale-CA and by the Hub Bpifrance, CARFIT combines the science of NVH (Noise, Vibration, Harshness) automotive vibrations with artificial intelligence technologies to create solutions for individualized predictive maintenance.

We do not always realize the wear of certain parts that ensure the proper functioning and safety of our cars. This is especially true with second-hand cars, especially since vibrations often occur gradually,” notes Eric ESPINASSE, VP Sales of CARFIT. “VINCI Highways innovation and marketing services approached CARFIT very early on, to provide their customers with a new technology that will change the way we understand our cars and contribute to greater safety for all.”

For VINCI Highways, the safety of drivers traveling on their highways is indeed a priority. Each year, more than 180,000 repairs are performed on the VINCI Highways network, 25% of which are directly linked to the condition of the tires. “The partnership between CARFIT and VINCI Highways is clearly in line with our desire for an ever more personalized service and safety prevention for our customers,” says Sophie BERNARD, Managing Director at VINCI Highways.

“We are constantly striving to make our customers’ journeys more fluid and secure with the help of new technologies, and the VINCI Highways-CARFIT Pack is part of this commitment, with innovation recognized by RocketSpace, PlugandPlay and the FrenchTech,” adds Paul MAAREK, President at VINCI Highways.

The electronic toll system service can be used on all motorways in France and throughout nearly 400 car parks.

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

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The Fast Pace of Facial Recognition Innovation

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Facial Recognition

Facial recognition technology has finally begun to enter the science fiction landscape we had all dreamt it would soon do. Thus, today we’re witnessing a rapid change and growth in its innovation and implementation. This change in pace is attributed to the significant advances in machine learning, resilient ODM (original design manufacturer) competition and increases in processing power that will forever democratize and commoditize facial recognition technology.

When we consider the applications of this core technology, it is essential also to understand the positive consequences of implementing facial recognition for non-conspicuous use cases. To get further insights on this matter, I sat down with Shaun Moore and Nezare Chafni the founders of TrueFace.ai.

With such technical advancements in facial recognition has its integration into products become more straightforward?

Shaun: Unfortunately face recognition is still not easy to implement in a more extensive product offering. One solution we’ve found is that by offering a specialized set of tools that simplify facial recognition, we can enable it for a variety of use cases in a broader landscape, allowing businesses to integrate faster and more efficiently. We expect implementation to continue to ease as more tools are developed, and as an industry, we work together to solve the growing challenges. In the end, we focus on building tools and solutions utilizing a more holistic approach by directly owning our core technology.

When a business is technically ready to start implementing facial recognition technology what can Trueface.ai provide them?

Shaun: First and foremost we made our Trueface.ai solutions to be ready out of the box. We made it simple and easy for any business of any size. Which is why we offer an API, mobile SDKs, and HTML widgets to simplify integrations. They can sign up on our site and view the documentation or sign up and schedule a demo.

Nezare: As a business gets started, they can choose from our state-of-the-art facial recognition that can be used via Trueface.ai’s web and mobile applications without writing one line of code. Additionally, they can also begin working with our proprietary spoof detection that works on single static images (ensuring proof of possession and presence), document verification from over 150 countries, AML/PEP sanction checks and web verification, which can source public social media information and generate challenge questions to be asked to the individual. We want to add as much security as we can while allowing the technology not to be a burden on a businesses day-to-day. This is why we’re already seeing customers from by online notaries, FinTech startups, e-learning firms and rental companies utilizing our solutions.

Screen Shot 2018-01-31 at 4.42.40 PM

What role will Trueface.ai play for businesses looking to get started with facial recognition technology?

Nezare: At Trueface.ai we act as the connection for business who want to innovative and secure identity management. We’ve recently launched our new identity verification solution to increase the security and safety of global businesses. We find that as more of our critical information and essential transactions continue to shift online, there will be a growing demand for trusted digital identity verification solutions. Today we offer both an API and a code-free solution so business can get started immediately. Also, the service will simplify physical and remote identity verification for use cases that can include account openings, securing high-value transactions, proctoring, e-learning and more.

How safe is facial recognition technology today?

Shaun: When considering the alternatives, passwords, keycards, fobs, all things that can be very easily stolen or transferred, we believe it is the most secure form in the present day of identity management.

Will facial recognition technology help prevent online identity fraud?

Nezare: Facial recognition is already actively preventing online identity fraud. We focused on spoof detection back in 2013 which we are now the only market available technology that can detect a spoof attempt in a 2D static image. This ensures proof of possession and presence.

What is the most significant hurdle for facial recognition technology aside from integration?

Nezare: Education. We need to do a better job educating the public on the cost and benefit to face recognition and why it is a better solution than the alternatives for security, convenience, and efficiency.

What do you see happening next for facial recognition technology as more data is collected and machine learning gets smarter?

Shaun: The technology will continue to improve at an unprecedented rate. When we look at what is happening over in China, we see a glimpse into our future. SenseTime has processed 500m identities for facial recognition which significantly improves their technology enabling use cases in everyday life.

Disclaimer: Trueface.Ai and parent company, Chui are an alumnus of our ReadWrite Labs accelerator program. Kyle Ellicott is also an advisor to the company.

The post The Fast Pace of Facial Recognition Innovation appeared first on ReadWrite.

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The Key IoT Security Questions You Need To Ask

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Microsoft IoT Security

An Internet of Things (IoT) solution offers a multitude of business benefits from decreased operational costs to new revenue streams. But it also comes with a host of security considerations, including an ever-changing array of regulatory compliance requirements, demanding expert navigation and acute attention to detail.

Below I’ve listed some of the critical questions to ask when deploying a secure IoT solution. To learn more about IoT security, be sure to register for the IoT in Action event in San Francisco on January 13.

How secure are your things?

For starters, the actual devices must be secure. In the next few years, a new wave of innovation will drive down costs and inundate the market with internet-connected devices in every price range, from electronic toys to manufacturing sensors. In anticipation of this, my Microsoft colleagues have identified The seven properties of highly secure devices. I have listed out each of these properties below, along with the fundamental questions you must ask:

  1. The hardware-based root of trust: Does each device have a unique identity that is inseparable from the hardware?
  2. Small trusted computing base: Is most of the device’s software outside its trusted computing base?
  3. Defense in depth: Does your device software have multiple layers of protection built-in?
  4. Compartmentalization: Are you using hardware-enforced barriers to stop failures from propagating to other components?
  5. Certificates-based authentication: Do your devices use certificates (vs. passwords)?
  6. Renewable security: Can the device’s software be updated automatically to a more secure state?
  7. Failure reporting: Do you have a solution in place to report software failures to the manufacturer?

How secure are your connections? 

More to the point, when you’ve got a bunch of devices talking to each other over the internet, how will you safeguard data confidentiality and integrity? When choosing an IoT monitoring and connection solution, make sure that it is using industry-proven data encryption. Solutions like the Azure IoT Suite secure the internet connection between the IoT device and IoT hub using the Transport Layer Security (TLS) standard.

Another question to ask is how you will prevent unsolicited inbound connections from wreaking havoc on your devices? Make sure that only devices are allowed to initiate connections and not the IoT hub. And speaking of the IoT hub: make sure that the one you’re using has the capability of maintaining a per-device queue – meaning that it can store messages for devices and wait for the devices to connect. For more on this topic, be sure to read IoT security from the ground up.

How secure is your cloud solution?

Is your cloud provider following rigorous security best practices? When choosing a cloud provider, make sure you pay careful attention to how they are handling the following areas.

  1. Network traffic segregation: Is IoT traffic segregated from other network traffic using an IoT gateway or other means?
  2. Monitoring: How is network traffic being monitored? How will you know if any credentials are compromised or if unmanaged devices are accessing your cloud services?
  3. Security controls: How well do you know your cloud provider’s SLA (service-level agreement)? Which security controls are being maintained by your provider and which will you need to address internally?
  4. Encryption and security key management: Does your IoT solution allow you to define access control policies for each security key? Is data in the cloud encrypted?

Have you registered for IoT in Action in San Francisco, CA on February 13, 2018?

These questions only scratch the broad surface of IoT security. To learn more about securing your IoT solution, register for this free, one-day event. You’ll hear from the researchers behind The seven properties of highly secured devices and see an IoT solution come to life before your eyes. You’ll also get insights into how Microsoft addresses IoT security through its Azure solutions. Plus, connect with partners who can help you bring your IoT solution from concept to reality. View the full agenda.

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Empathic AI: The Next Generation of Vehicles Will Understand Your Emotions

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Empathic_Vehicle-Sensum-3144x2089

Transportation will never be the same once our machines know how we feel.

We are all entering a wholesale, global disruption of the way people move from one place to another.  More than any other change in this sector, the one that is likely to have the most significant impact on human society is the rise of autonomous (i.e., self-driving) vehicles.

The transportation industry, historically dominated by a handful of large vehicle-manufacturing brands, is evolving into an ecosystem of ‘mobility services,’ underpinned by artificial intelligence (AI). A major step in the development of AI is to give it ‘empathy,’ allowing our physiological and emotional states to be observed and understood. This connection will mostly be achieved by connecting to wearable or remote sensors, the same way that fitness bands allow our physical state to be monitored.

By feeding this sensor data into AI systems, we can train them to know how we feel and how to respond appropriately. This kind of empathy can also be enhanced by giving AI its own artificial emotions, imbuing it with simulations of feelings.

Empathic technology will have no small effect on the mobility sector. How might an empathic vehicle look?

Safe Travels

There is already a growing body of research from top-tier auto companies into what kind of empathic interactions will protect drivers, passengers and everyone around them from harm. To investigate this, biometric sensors, cameras, and microphones are being used to detect:

  • Fatigue & drowsiness: e.g., monitoring head or eye movements, posture or heart/breathing rate.
  • Distraction: e.g., gaze detection to ensure the driver is watching the road.
  • Intoxication: e.g., using infrared optics or analyzing voice or breath.
  • Medical incidents: e.g., detecting a potential cardiac event from a wearable heart-rate sensor.

A Comfortable Journey

After ensuring the safety of the humans in the system, empathic tech can be employed to optimize the ride experience. There is a universe of auto-suppliers you’ve probably never heard of, who build all the components and systems that end up in the well-known vehicle brands. They are leading the way to a more empathic ride, with innovations such as:

  • Environmental controls: e.g., lighting, heating, AC, sound and olfactory output, customized to suit your current mood.
  • Physical controls: seat position, engine configuration, etc.
  • Humanising AI feedback: the virtual assistants like Alexa and Siri that are invading our homes and phones are also reaching into our vehicles. With empathic AI we can tailor their feedback to suit our preferred style of interaction.

An Entertaining Ride

Now that our customer is safe and comfortable, they can benefit from AI that knows how to push the right emotional buttons at the moment. This is particularly likely to apply to the onboard music and infotainment systems. Other subtle ways in which a vehicle could be designed to optimize the thrill of the ride include offering to increase the engine’s power output when the driver is feeling confident and happy.

The New Norms of Autonomous Society

An autonomous vehicle doesn’t exist in a bubble. Much of its intelligence is based on sensing its environment and making rapid judgments about how to act. Each vehicle will also be integrated with a global network of systems, able to share information ranging from weather forecasts to road obstructions. By connecting each vehicle to its neighbors and the wider world, we will see the emergence of a new type of ‘social’ structure with its own norms of behavior.

This AI-driven ‘society’ will involve interactions not just between the vehicles and their drivers or passengers, but also with onboard devices, nearby pedestrians, other vehicles, and their occupants, as well as surrounding infrastructure. The etiquette and rules of what the market calls ‘vehicle-to-everything’ (V2X) communications will establish themselves as we gradually let go of the wheel and hand our mobility needs over to ‘the machines.’

This mobility ecosystem is also likely to share data and processes with the rest of the AI in our lives, such as in our smartphones and home-automation systems. If coordinated correctly, this unified data architecture would allow empathic vehicles to know us much better, behaving ever more like a trusted friend.

This is not just a technological problem; it’s a monumental user-experience challenge too. Gradually increasing the empathic capability of the system will support the evolution of the transport experience towards one that is not only safe and comfortable but also delightful.

The future of mobility is emotional.

Editor Note & Disclaimer: The author is a member of the Sensum team, which is an alumnus of our ReadWrite Labs accelerator program. 

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Autonomous Cars Will Need “Autonomous Maintenance” Solutions

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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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CARFIT And CEA Create A Joint Lab On Artificial Intelligence

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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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Enterprises will spend $7 trillion on digital transformation by 2021

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AdobeStock_137714591

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.


Join us for the Read/Write Digital Transformation Dinner in Silicon Valley: February 13
Apply to attend by commenting on this post
Host: John Koetsier, Journalist, Analyst, Futurist; Sponsor: Tata Communications


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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IoT in Action: The promise of AI-enabled IoT

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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?

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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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