Tag Archives: Internet of Things

A Smarter World Part 4: Securing the Smart City and the Technology Within

In the last installment of our blog series on smart cities, we examined how smart transportation will make for a more efficient society. This week, we’ll examine how urban security stands to evolve with the implementation of smart technology.

Smart security in the modern era is a controversial issue for informed citizens. Many science fiction stories have dramatized the evolution of technology, and how every advance increases the danger of reaching a totalitarian state—particularly when it comes to surveillance. However, as a society, it would be foolish to refrain from using the technical power afforded to us to protect our cities.

Here are the top applications for smart security in the smart cities of the future:

Surveillance

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Surveillance has been a political point of contention and paranoia since the Watergate scandal in the early 1970s. Whistleblower Edward Snowden became a martyr or traitor depending on your point of view when he exposed vast surveillance powers used by the NSA. As technology has rapidly evolved, the potential for governments to abuse their technological power has evolved with it.

Camera technology has evolved to the point where everyone has a tiny camera on them at all time via their phones. While monitoring entire cities with surveillance feeds is feasible, the amount of manpower necessary to monitor the footage and act in a timely manner rendered this mass surveillance ineffective. However, deep learning-driven AI video analytics tools can analyze real-time footage and identify anomalies, such as foreboding indicators of violence, and notify nearby law enforcement instantly.

In China, police forces use smart devices allied to a private broadband network to discover crimes. Huawei’s eLTE system allows officers to swap incident details securely and coordinate responses between central command and local patrols. In Shanghai, sophisticated security systems have seen crime rates drop by 30% and the amount of time for police to arrive at crime scenes drop to 3 minutes.

In Boston, to curb gun violence, the Boston police force has deployed an IoT sensor-based gunfire detection system that notifies officers to crime scenes within seconds.

Disaster Prevention

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One of the major applications of IoT-based security system involves disaster prevention and effective use of smart communication and alert systems.

When disasters strike, governments require a streamlined method of coordinating strategy, accessing data, and managing a skilled workforce to enact the response. IoT devices and smart alert systems work together to sense impending disasters and give advance warning to the public about evacuations and security lockdown alerts.

Cybersecurity

The more smart applications present in city infrastructure, the more a city becomes susceptible to cyber attack. Unsecured devices, gateways, and networks each represent a potential vulnerability for a data breach. The average cost of a data breach according to IBM and the Poneman Institute is estimated at $3.86 million dollars. Thus, one of the major components of securing the smart city is the ramping up of cybersecurity to prevent hacking.

smart-city-1 graphic

The Industrial Internet Consortium are helping establish frameworks across technologies to safely accelerate the Industrial Internet of Things (IIot) for transformational outcomes. GlobalSign works to move secure IoT deployments forward on a world-wide basis.

One of the first and most important steps toward cybersecurity is adopting standards and recommended guidelines to help address the smart city challenges of today. The Cybersecurity Framework is a voluntary framework consisting of standards, guidelines, and best practices to manage cybersecurity-related risk published by the National Institute of Standards and Technology (NIST), a non-regulatory agency in the US Department of Commerce. Gartner projects that 50% of U.S. businesses, critical infrastructure operators, and countries around the globe will use the framework as they develop and deploy smart city technology.

Conclusion

The Smart City will yield a technological revolution, begetting a bevy of potential applications in different fields, and with every application comes potential for hacker exploitation. Deployment of new technologies will require not only data standardization, but new security standardizations to ensure that these vulnerabilities are protected from cybersecurity threats. However, don’t expect cybersecurity to slow the evolution of the smart city too much as it’s expected to grow into a $135 billion dollar industry by 2021 according to TechRepublic.

This concludes our blog series on Smart Cities, we hope you enjoyed and learned from it! In case you missed it, check out our past entries for a full picture of the future of smart cities:

A Smarter World Part 1: How the Future of Smart Cities Will Change the World

A Smarter World Part 2: How Smart Infrastructure Will Reshape Your City

A Smarter World Part 3: How Smart Transportation Will Accelerate Your Business

A Smarter World Part 3: How Smart Transportation Will Accelerate Your Business

In the last installment of our blog series on smart cities, we examined how smart infrastructure will revolutionize smart cities. This week, we will examine the many applications which will soon revolutionize smart transportation.

A smarter world means a faster, more efficient and environmentally-friendly world. And perhaps the biggest increase in efficiency and productivity will be driven by the many ways in which AI can optimize the amount of time it takes to get where you’re going.

Here are the top applications in smart transportation coming to a city near you:

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AUTONOMOUS VEHICLES

Some say autonomous vehicles are headed to market by 2020. Others say it could take decades before they are on the road. One thing is for certain, they represent a major technological advancement for smart transportation. Autonomous cars will communicate with each other to avoid accidents and contain state-of-the-art sensors to help keep you and your vehicle safe from harm.

Although autonomous vehicles are arguably the largest technological advancement on the horizon, they will also benefit greatly from a variety of smart transportation applications that will accelerate navigating your local metropolis.

Integrated-Roadways

SMART ROADS

What if we could turn roads into a true digital network, giving real-time traffic updates, supporting autonomous car technology, and providing true connectivity between vehicles and smart cities?

That’s the question tech start-up Integrated Roadways intends to answer. Integrated Roadways develops fiber-connected smart pavement outfitted with a vast amount of sensors, routers, and antennae that send information to data centers along the highway. They recently inked a 5 year deal to test out patented fiber-connected pavement in Colorado.

Smart Roads represent a major advancement in creating vehicle-to-infrastructure (V2I) connectivity. With 37,133 deaths from motor vehicles on American roads in 2017, the combination of AI applications in smart roads and autonomous cars could revolutionize vehicular transport and create a safer, faster world.

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SMART TRAFFIC LIGHTS

The vehicle-to-infrastructure connectivity spans beyond the roads and into the traffic light. Idling cars generate an estimated 30 million tons of carbon dioxide. Traffic jams can make it harder for first responders to reach emergencies. Rapid Flow proposes that the answer may be their AI-based adaptive traffic management system called Surtrac.

Surtrac uses a decentralized network of smart traffic lights equipped with cameras, radar, and other sensors to manage traffic flows. Surtrac’s sensors identify approaching vehicles, calculate their speed and trajectory, and adjust a traffic signal’s timing schedule as needed.

red line bus

SMART PUBLIC TRANSIT

There are a variety of smart applications which are revolutionizing public transportation.

In Singapore, hundreds of cameras and sensors citywide analyze traffic congestion and crowd density, enabling government officials to reroute buses at rush hour, reducing the risk of traffic jams. In Indianapolis, the electric Red Line bus service runs a 13 mile path that travels within a quarter of a mile of roughly 150,000 jobs.

One of the major disruptors which has seen rapid adoption in the smart public transport are electric scooter sharing services like Bird and Lime. Electric scooters fill in the public transportation gap for people looking to go 1-3 miles without having to walk or take a taxi. Electric scooters have seen adoption in Los Angeles, San Francisco, Salt Lake City, Brooklyn, and more cities around the globe.

CONCLUSION

Smart cities will have a host of revolutionary applications working in unison and communicating through smart infrastructure with municipalities to ensure maximum efficiency and safety when it comes to transportation. In our next installment of our series on smart cities, we’ll examine how smart security will help keep city-dwellers safe.

A Smarter World Part 2: How Smart Infrastructure Will Reshape Your City

Imagine a city that monitors its own health, identifies potential fail points using AI algorithms, and autonomously takes action to prevent future disasters.

This is the smart-city of the future. In our first installment of our blog series on Smart Cities, we ran through an overview of how Smart Cities will change our world. In this second entry of our blog on smart cities, we’ll examine perhaps the biggest building block necessary to create a smart city: smart infrastructure.

The construction of a smart city begins with developing a vast, city-wide IoT system, embedding sensors and actuators into the infrastructure of the city to create a network of smart things. The sensors and actuators collect data and send it to field gateways which preprocess and filter data before transmitting it through a cloud gateway to a Data Lake. The Data Lake stores a vast amount of data in its raw state. Gradually, data is extracted for meaningful insights and sent to the Big Data warehouse where it’s structured. From here, monitoring and basic analytics will occur to determine potential fail points and preventative measures.

Check out the breakdown below:

Breakdown

As you can see, it all begins with the construction of smart infrastructure that can collect data. Here are some of the big applications in the smart infrastructure space:

STRUCTURAL HEALTH

One of the major applications of smart infrastructure will be monitoring key data points in major structures, such as the vibrations and material conditions of buildings, bridges, historical monuments, roads, etc.

Cultivating data will initiate basic analysis and preventative measures, but as we gather more and more data, AI and machine learning algorithms will learn from vast statistical analysis and be able to analyze historical sensor data to identify trends and create predictive models to prevent future disasters from happening with unprecedented accuracy.

Learn more about how Acellant is building the future of structure health monitoring.

ENVIRONMENTAL APPLICATIONS

There are a multitude of potentially environmental applications for smart infrastructure designed to optimize city activities for environmental health. For example, embedding street lights with intelligent and weather adaptive lighting will reduce the amount of energy necessary to keep roads alight.

Air pollution monitoring will help control CO2 emissions of factories and monitor the pollution emitted by cars. Ultimately, earthquake early detection can help monitor distributed control in specific places of tremors.

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WASTE MANAGEMENT

Boston is well-known as one of the top college cities in the United States. Every fall, over 160,000 college students from MIT, Harvard, Northeastern, BU, BC, Berklee School of Music, and more move in to their new living spaces, causing undue stress on the city’s waste management administration. ANALYZE BOSTON, the city’s open data portal, provided key data points such as housing rentals, trash volume and pick-up frequency, enabling a project called TRASH CITY to reroute waste management routes during this trying time.

CONCLUSION

Projects like Trash City show the many ways in which we can optimize city operations by analyzing data effectively. As smart infrastructure enables the collection of more and more data, projects like TRASH CITY will become more efficient and more effective.

Of course, the biggest application of Smart Infrastructure will be the many ways in which it will change how you get from A to B. Next week, we’ll focus in on smart transportation and how it will reshape metropolitan transportation.

How the Revolutionary Mechanics of Blockchain Technology Could Serve Your Business

In the last entry in our cryptocurrency series, we explored how to secure your cryptocurrency with the right wallet. This week, we’ll take a look at the mechanics of the Blockchain across industries.

While the debate over whether Bitcoin will become the dominant cryptocurrency is far from over, the mechanics behind Bitcoin are unquestionably revolutionary. Blockchain technology has the potential to disrupt more than just currency, but industries ranging from healthcare to Wall Street.

The Blockchain is a secure ledger database shared by all parties participating in an established, distributed network of computers. The Blockchain decentralizes the process of validating transactions, allocating the duties to computers throughout the network.

Blockchain is revolutionary because it eliminates the need for a central authority, allowing for a real-time ledger that is not dependent on a single entity governing the transactions.

Imagine if in order to make changes to a text document, you had to email a colleague who would then update the document on Microsoft Word and send the updated file out to all relevant parties on the team. The updating of information would quickly become an inefficient process that is heavily dependent on the central entity (the colleague). Blockchain posits a workflow that is more like Google Docs in that it allows updates to be made in real time and shared across the network instantly without the need of a central authority. Blockchain enacts this principle by relying on computers within the network to independently validate transactions through cryptography. Thus, the validity of the ledger is determined by the many objective computers on the network rather than a single powerful entity.

The idea of decentralization can also be applied to WhatsApp, the popular messaging app that revolutionized texting and cut the cost of transactions globally. WhatsApp cut out the central authority of phone carrier companies by building the same functionality on a decentralized network (the Internet).

If you’re still confused about Blockchain, check out this awesome video by Wired breaking it down in 2 minutes:

https://www.youtube.com/watch?v=Q-UYHvPKt9E

Blockchain has already found usages in many different industries.

  • SMART CONTRACTS

Smart contracts are coded contracts embedded with the terms of an agreement. They are a method for businesses and individuals to exchange money, property, materials, or anything of value in a transparent way that avoids the services of a middleman (such as a lawyer). Smart contracts not only define the rules of an agreement, they automatically enforce the obligations provided in the terms of the contract.

Smart contracts have revolutionized the supply chain and threaten to eliminate the use of lawyers for enforcing contracts. Smart contracts and blockchain ensure data security that could also lead to the transferring of voting to an online system, potentially increasing voter turnout significantly.

  • HEALTHCARE

Within the healthcare industry, Blockchain has the potential to revolutionize data sharing between healthcare providers, resulting in more effective treatments and an overall improved ability for healthcare organizations to offer efficient care. A study from IBM showed that 56% of healthcare executives have a plan to implement a commercial blockchain solution by 2020.

  • SUPPLY CHAIN

Both within the Healthcare industry and elsewhere, blockchain is redefining supply chain management. Blockchain can provide a distributed ledger that tracks the transfer of goods and raw materials across wide-ranging geographical locations and stages. The public availability of the ledger makes it possible to trace the origin of the product down to the raw material used. For this reason, blockchain has also been applied to track organic produce supply chains.

The boon of the Internet of Things and smart objects means that blockchain technology can be extended to process data and manage smart contracts between individuals and their smart devices or even smart homes. Imagine a world where your refrigerator automatically orders eggs when it senses you are running low based on your egg eating habits. This world will be facilitated by a smart contract run on Blockchain technology embedded in an IoT device.

CONCLUSION

While the first blockchain was created for Bitcoin, applications for blockchain are constantly being implemented across industries. As Harvard Business Review smartly points out, the question in most industries is not whether blockchain will influence them, but when.

Many different cryptocurrencies are utilizing variations on Blockchain technology in order to process transactions—some of which are doing so in a more efficient manner than Bitcoin. Next week, we’ll explore the top cryptocurrencies on the market right now and which ones your business should accept.

Everything You Need to Know About Machine Learning

A calculator can solve complex problems which would take even the most savvy mathematicians an incomparable amount of time. Artificial intelligence has become one of the most hotly debated and highly funded aspects of technology because the speed at which machines can process information yields innumerable possibilities and applications which can and will benefit humanity. One of the first popular incarnations of AI is Machine Learning.

Machine Learning is the ability for a computer to learn without being explicitly programmed. Machine learning focuses on computer programs which can identify patterns and create its own algorithms when exposed to new data. It is used in self-driving cars, in newsfeed algorithms on social media, in evaluating job candidates, in recognizing faces on your phone, and more.

The most powerful form of machine learning currently active is called “deep learning”. “Deep learning” builds a complex mathematical structure known as a neural network out of vast quantities of data. Machine learning’s ability to handle mass amounts of data makes it crucial to the advancement of IoT. The IoT collects enormous amounts of data which require computers with machine learning to recognize patterns and create algorithms.  In self-driving cars, IoT cameras and sensors in each autonomous vehicle absorb their surroundings and turn them into huge amounts of data. The data is then sent to the cloud where it is accessible to all autonomous vehicles on the road. Thus, when one self-driving car makes a mistake, all of them learn. In conjunction with the Internet of Things, machine learning will be vital to the building of a smartworld.

TOP PROGRAMMING LANGUAGES

Machine learning requires a great deal of statistical analysis; it demands an intelligent programming language which can process a number of complex issues and general paradigms.

R: Considered a statistical workhorse, R has emerged as one of the top programming languages for machine learning. R is intended for advanced users because of its complex nature and wide learning curve.

Python: A rising star for machine learning, Python is a data science book which has been in use in the manufacturing industry for awhile. Python gives users direct access to predictive analytics, making it the foremost data science language. Developers turn to Python when they are looking to frame better questions or expand the capabilities of their existing machine learning systems.

MATLAB/Octave: Millions of engineers are already using MATLAB, a matrix-based language, to analyze and develop cutting edge systems. MATLAB has emerged as the simplest way to demonstrate computational mathematics.

MACHINE LEARNING AND iOS 10

Machine learning laid much of the groundwork for the biggest upgrade in iOS 10. It is very difficult for computers to comprehend the intricacies of the human language. Machine learning has enabled iPhones to sense contextual clues with increasing confidence, improving iMessage’s ability to autocorrect and for Siri to understand the particulars of your vernacular. In the iPhone 7 camera, machine learning allows the device to separate the background from the foreground to achieve amazing portraits once possible only with DSLR cameras.

MACHINE LEARNING AND ANDROID

Google is among the dominant forces in machine learning. Much of Google Search’s prominence is owed to advances in the machine learning field. In November 2015, Google released TensorFlow, an open-source software library for machine intelligence. TensorFlow effectively simulates “deep learning” neural networks across different computer hardware and offers a straightforward way for users to train computers to perform tasks by feeding them large amounts of data.

Google uses Tensorflow in many of their internal processes, including RankBrain for information retrieval, image classification, SmartReply, and more.

MAXIMIZING MACHINE LEARNING IN MOBILE APPS

Now that mobile devices have the high productive capacity level to perform tasks to the same degree as a traditional computer, the question of what machine learning can offer apps has arisen. Large retailers like Amazon and eBay use machine learning in their mobile apps to improve customer experience with smarter product search and recommendation features, along with the ability to forecast buying trends with analytics.

While Machine Learning algorithms require a high level of programming experience and a ton of data to be effective, integrating apps with Siri & iMessage for iOS 10 allows developers to take advantage of the vast deep learning neural networks embedded into Apple’s 1st-party apps.

While the future of machine learning  on a commercial level remains to be seen outside of tech titans like Facebook, machine learning algorithms will be crucial in conjunction with the IoT in building a new SmartWorld with unparalleled predictive capabilities.

Securing Your IoT Devices Must Become a Top Priority

The Internet of Things has seen unprecedented growth the past few years. With an explosion of commercial products arriving on the marketplace, the Internet of Things has entered the public lexicon. However,  companies rushing to provide IoT devices to consumers often cut corners with regard to security, causing major IoT security issues nationwide.

In 2015, hackers proved to Wired they could remotely hack a smartcar on the highway, kill the engine and control key functions. Dick Cheney’s cardiologist disabled WiFi capabilities on his pacemaker, fearing an attack by a hacker.  Most recently, the October 21st cyber attack on Dyn brought internet browsing to a halt for hours while Dyn struggled to restore service.

Although the attack on Dyn seems to be independent of a nation-state, it has caused a ruckus in the tech community. A millions-strong army of IoT devices, including webcams and DVRs, were conscripted with a botnet which launched the historically large denial-of-service attack. Little effort has been made to make common consumers aware of the security threats posed by IoT devices. A toy Barbie can become the back door to the home network, providing access to PCs, televisions, refrigerators and more. Given the disturbing frequency of hacks in the past year, IoT security has come to the forefront of top concerns for IoT developers.

SECURING CURRENT DEVICES

The amount of insecure devices already in the market complicates the Internet of Things security problem. IoT hacks will continue to happen until the industry can shrink vulnerable devices. Securing current devices is a top priority for app developers. Apple has made an effort to combat this problem by creating very rigorous security requirements for HomeKit compatible apps.

The European Union is currently considering laws to force compliance with security standards. The plan would be for secure devices to have a label which ensures consumers the internet-connected device complies with security standards. The current EU labeling system which rates devices based on energy consumption could prove an effective template for this new cybersecurity rating system.

ISPs COULD BE THE KEY

Internet service providers could be a major part of the solution when it comes to IoT Security. Providers can block or filter malicious traffic driven by malware through recognizing patterns. Many ISPs use BCP38, a standard which reduces the process hackers use to transmit network packets with fake sender addresses.

ISPs can also notify customers, both corporate and individuals, if they find a device on their network sending or receiving malicious traffic. ISPs already comply with the Digital Millennium Copyright Act which requires internet providers to warn customers if they detect possible illegal file sharing.

With the smarthome and over 1.9 billion devices predicted to be shipped in 2019, IoT security has never been a more important issue. Cyber attacks within the US frequently claim the front page of the mainstream media. CIO describes the Dyn attacks as a wake-up call for retailers. The combination of a mass adoption of IoT and an environment fraught with security concerns means there will be big money in IoT security R & D and a potential slow-down in time-to-market pipeline for IoT products.

Will the federal government get involved in instituting security regulations on IoT devices, or will it be up to tech companies and consumers to demand security? Whatever the outcome, this past year has proved IoT security should be a major concern for developers.

Sink or Swim: Why Google Needs Andromeda to Compete with Apple

Andromeda summed up in a graphic (Via thehackernews.com)

App developers commonly cite device fragmentation as one of their biggest peeves about the Android platform. While Apple keeps a stronghold on all iOS devices, Android allows third-party developers to create hardware for the platform. With a number of different devices all with different screen sizes, tech specs and OS capabilities, developers cannot efficiently optimize the end user experience of their apps for all devices as they can with iOS. However, Google is making a major move to create a more streamlined app ecosystem with Andromeda.

Rumors of Andromeda began when multiple independent sources revealed it would be announced at Google’s October 4th announcement. When October 4th turned out to be hardware-focused, the heat died down on Andromeda. However, in the big picture, Andromeda represents a necessary move in order to prevent Google from losing potentially billions of dollars to Apple in the years and decades to come.

WHAT IS ANDROMEDA?

The idea of Andromeda is to combine Google’s laptop OS (Chrome OS) and their mobile and tablet OS (Android). Chrome OS is not Google Chrome, the web browser you may or may not use every day, but their desktop operating system which works with Chromebooks. For the skinny on Chrome, check out this awesome breakdown:

https://www.youtube.com/watch?v=0QRO3gKj3qw

Rather than integrate Android features on Chrome OS, Andromeda will do the opposite and enable mobile devices with Chrome OS features. Mobile devices will begin to feel like an extension of one’s desktop. Rumored features include file organization, multi-modal windowing and compatibility between mobile and desktop apps. While the details have yet to be revealed, the concept behind Andromeda makes it a huge, necessary step for Google’s long-term future in the OS market.

WHY IT’S IMPORTANT

Andromeda will put Google in direct competition with the Mac OS X and Windows platforms. Apple has long been focused on device Continuity, the interchangeability between iOS devices. Their mobile (iOS) & desktop (OS X) operating systems are optimized to work together. By merging Google’s mobile platform with their desktop OS, Google increases cross-device functionality  and creates a strong incentive for consumers to keep all their devices within the Google brand.

THE INTERNET OF THINGS MAKES THIS SINK OR SWIM FOR GOOGLE 

The good news for app developers is in Andromeda’s long-term potential. Andromeda will enable developers to create apps which seamlessly function across devices: smartphones, tablets and desktops. As the IoT becomes domesticated, having a unified OS will mean big bucks for software companies looking to capitalize on home automation and commercial IoT products. In 10 years, consumers will be incredulous if they can’t control their coffee machine, change the channel on their TV and lock their doors on any of their devices. They want cohesive simplicity. If Google loses the OS battle with a less cohesive strategy than Apple, they will also lose the smartphone, tablet, TV and laptop.

CONCLUSION

Dennis Jones, CEO of payments technology company Judopay, put it this way for Developer-Tech: “Andromeda will be the foundation for omnipresence for Google-powered hardware, similar to Apple’s ecosystem… Andromeda is the foundation to enable this omnichannel world.”

Without Andromeda, Google would be dead in the water against the future omnichannel world Apple has been developing over the years. Who will execute better? Until the public sees Andromeda in action, the answer remains to be seen.

Apple Brings the Internet of Things Home with HomeKit & iOS 10

Anyone engrossed in the tech scene knows the Internet of Things is one of the trendiest technology topics on the web. The IoT is shaping our world and building fortunes for innovators, futurists and top app development companies. However, in the common household, the IoT has yet to break through to the mainstream. The biggest company in the world is now looking to enact change.

Tim Cook, in his September Announcement, declared that iOS 10’s HomeKit update is the first time home automation has been integrated with a major platform. While Apple introduced HomeKit in 2014 with iOS 8, iOS 10 comes with a dedicated app called Home that controls all home automation devices.

HOME IS A HOME RUN

Home Apple App via Wareable

Home combines IoT technology with the masterful UI of iOS. Previous iterations of iOS and HomeKit required the user to manage each interface separately. So if a phone had 20 HomeKit apps, they would have 20 user interfaces to manage. The Home app unifies HomeKit apps, creating a central control center for all home automation applications.

With over 1 billion active Apple devices across the world, Home enters the market with giant global reach. Virtually every major manufacturer of home automation devices now supports HomeKit. Accessories cross all major categories, from lights and air conditioners to window shades, locks and home security. Commercial IoT companies now have massive domestic reach, and iOS users have more incentive to update their homes than ever before.

HAVE SIRI SET THE SCENE

Siri Scenes via Next Market

One of the coolest features of Home is the Siri integration. Users can control Home from both the Control Center and Siri, but Siri can work at the speed of your language. Siri’s ability to handle multiple requests means users can accomplish their ideal environmental preferences in the speed of a sentence. Apple refers to these combination commands as “scenes” and users can give “scenes” a nickname. A rambunctious user might say “Hey Siri, let’s get funky,” prompting Siri to lock the doors, dim the lights, put Barry White on the speakers at a reasonable volume and provide the most apt customized ambience for the user to rock out.

THE APPLE TV IS THE HEARTH

The fourth generation Apple TV can also act as a hub for the Home app, with the Siri Remote making it easy to control your home on the go. Apple TV’s seamless integration with HomeKit and other iOS products makes it the ultimate smart TV for a smart home, providing yet another reason for consumers to consistently buy iOS products.

BUILDING COMMERCIAL IOT FROM THE GROUND UP

The Home Automation page on the Apple website is a clear indicator of Apple’s intentions to not only be a household name, but to be the name on your household. The company already has a major market share of phones, tablets, computers, TVs and watches. They are rumored to be looking to acquire McLaren as a part of Project Titan. Apple understands that the ubiquity of the iOS platform makes them the most appealing platform for manufacturers of smart devices. Apple also announced that leading home builders, including Brookfield Residential, KB Home, Lennar Homes and R&F Properties, are integrating many HomeKit devices into new homes.

With the Apple Home potentially on the horizon, one can only wonder how much of Apple’s vision of the smarthome will be realized in the next 5-10 years.

The Next Generation of Apple: What Does It Mean for App Development?

On September 7th, 2016, Apple announced their new line of products for the coming year. Per tradition, the company kept the audience on its feet with a flurry of new features and partnerships which can’t help but excite anyone interested in tech and mobile development. Given the bevy of announcements, here is a rundown of what’s important for app developers.

THE APPLE APP STORE REIGNS SUPREME

Tim Cook kicked the presentation off, reminding the audience of Apple dominance. The Apple App Store accrued 140 billion downloads in the year, a 106% year over year growth and more than double the global revenue of their closest competitor: the Google Play Store.

NINTENDO BRINGS MARIO TO THE MOST POPULAR GAMING DEVICE IN THE WORLD

Gaming is not only  the most popular category in the App Store, Apple devices are the most popular gaming devices in the world. Cook brought in perhaps the greatest game designer of all time: Shigeru Miyamoto (creator of Mario, Donkey Kong, Zelda, Star Fox and many more Nintendo classics) to introduce the new forthcoming Super Mario Run, the second Nintendo game on a mobile phone after Pokemon GO. Mr. Miyamoto emphasized the accessibility of the iOS platform and delineated gameplay mechanics which emphasize competitive, social-focused arcade modes in which you can challenge your friends’ high scores.

Apple later announced Pokemon GO is coming to the new Apple Watch Series 2. Pokemon GO has accrued over 500 million downloads and Pokemon Trainers have walked over 4.6 million kilometers playing the game. Pokemon GO for Apple Watch will emphasize allowing users to spend less time looking at their screen, and more time being social in their walks.

APPLE WATCH SERIES 2

Apple Watch Series 2 via TechRadar

Apple Watch became the #2 biggest selling watch brand in the world within a year of launch. The new Apple Watch Series 2 is waterproof and features apps which improve your golf swing, remind you to breathe and more. The emphasis from the trailer was on the Apple Watch as a fitness device for optimizing workout efficiency. Apple proclaimed the new Apple Watch as the ultimate device for a healthy life. Those in the fitness app development business are in luck as the Apple Watch opens up a ton of possibilities.

App developers will love the additional dual core processor, which is up to 50% faster than the previous Apple Watch, the new GPU 2x faster graphics performance, and the 2nd generation display with 1000 nits. The device offers all kinds of opportunities for internal apps and developers.

IOS 10

As of Tuesday September 13th, iOS 10 has officially been released. After a summer in beta, the new operating system is here with a smarter keyboard which cultivates contextual clues through machine learning to improve auto-correct, enhanced Continuity, and a smarter Siri. Best of all, iOS 10 opens up Siri, iMessage and Maps for app developers, allowing them to create app extensions which incorporate these tools. This means Siri can book your next Lyft, you can incorporate ePayments directly into iMessage, and you can make reservations at a restaurant directly through Maps. The ability to create app extensions on internal iPhone apps opens up a world of possibilities for app developers in designing both new and updating existing apps.

IPHONE 7 & 7 PLUS

iPhone 7 via 9to5mac.com

The reviews are in for the iPhone 7 and 7 Plus and they are impressive. While the screen size stays the same, the headphone jack is gone, and the camera is beefed up. iPhone 7+ features a dual camera system which allows for true 2x optical zoom without loss of image quality.

When it comes to graphics, the display is now 25% brighter with a wider color gamut. The new A10 fusion processor is 40% faster than the A9 and features a graphics processing chip that is 50% faster than the iPhone 6 counterpart. While it has increased processing power, it also has extended battery life – the longest battery life ever in an iPhone.

The possibilities for mobile game developers are endless, as seen in this demonstration by Heather Price, co-founder of ThisGameStudio:

HOMEKIT & IoT

Having made major strides in the phone, watch, TV, music streaming and soon original content areas, Apple is naturally moving toward the connected home. HomeKit is the first time home automation has been integrated with a major platform. HomeKit will allow users to adjust lights in their house, check on locked doors, open their garage and more. HomeKit will now accept virtually every major brand creating home automation devices, and it works on over 100 products coming to market.

Apple also made several announcements, including their educational investment in ConnectEd, introduction of real-time collaboration through iWork, a partnership with Nike with the Apple Watch Nike+, and more. With such a density of announcements, it’s an exciting time to be an iOS developer.

Monetizing IoT: How the Internet of Things Builds Fortunes

A man sits in a restaurant and orders “The John Candy Burger” (a double cheeseburger with four strips of bacon and a fried egg) through a touch screen embedded into the table. As he gives the waiter his order, his smartwatch vibrates. He checks a push notification which tells him he should not order “The John Candy Burger” based on information gathered from a sensor in his body which has been monitoring his blood pressure and cholesterol among other notable health measurements in a constant stream of data for 15 years with infallible predictive capabilities. It tells him this specific cheeseburger from this specific restaurant will increase his risk of a heart attack on his daily run by 8%. He doesn’t understand how, but he accepts it the way one accepts that the earth is round and the Great Pyramid of Giza existed in 2540 BC.

In the above fictional example, the Internet of Things took the man’s order, evaluated the average nutritional content of the burger based on data gathered through sensors embedded into a smart grill, and transmitted it to the smartwatch where it analyzed nutritional content in the context of over 15 years of health data gathered on the man to inform him on the potential risk of his decision. The Internet of Things is bigger than money. It’s a new world where planes don’t crash and  smartphones can tell their users the location of the nearest empty parking spot to minimize travel time and ensure the city is maintaining optimum functionality. A pregnant wife is gently guided through a safe 9-month path to the newest addition to her family. The edges of the world are being smoothed out by data. The Internet of Things is leading the human race toward new levels of efficiency, productivity and effectiveness.

“Show me the money”

As a major technological evolution takes place, many businesses are looking to monetize it. Although the world has yet to see the full impact of the Internet of Things, it has already revolutionized process improvement for everything from manufacturing to health care, product enhancement, and safety. For the developer eager to enter a burgeoning field with infinite possibilities, here are some of the common techniques for monetizing IoT applications.

ONE-TIME PAY + FREE APP

The most basic monetization method entails creating a simple product with everyday applications, like Jawbone and the Phillips Hue Connected Bulb for example, and offering the equipment for purchase which works in conjunction with a connected app for iOS & Android. This method is most effective for products where the manufacturing cost to market ratio is kept low.

SUBSCRIPTION-BASED

One of the major issues with the IoT is the amount of data generated regularly by their devices. The amount of data and possibilities are so staggering, it’s vital to understand and decide upon relevant metrics and analysis tactics. For developers, it means that the cost of maintaining many IoT apps calls for a constant stream of revenue. Companies like Audi offer a hotspot subscription, ranging from 6 to 30 months, for Audi Connect, their hotspot navigation system utilizing Google Earth and Voice to offer real-time alerts, weather and traffic. In some applications, data plans will likely emerge as a another way of tiering subscription-based purchases.

WHITE LABEL SERVICES

Perhaps the most profitable and complex option, monetizing IoT applications through white label services entails having the foresight to identify the future of the technology and the necessary human & financial resources to act upon it effectively through the creation of a template offering which businesses can rebrand as their own. Jasper Technologies created the Connected Car Cloud as a cloud-based turnkey solution for developing smart-cars with real-time diagnostics, safety, security, and more.

Acquired by Cisco for about $1.4 billion in March, Jasper is one of the big success stories of IoT monetization and a model for future innovators looking to capitalize on the business opportunities brought about by the Internet of Things.

Learn more about IoT through this awesome article with advice from early adopters via Computer World.