As mobile devices become smaller and smarter, artificial intelligence (AI) is steadily gaining significant popularity among users and developers alike. Every now and then mobile developers around the world are working assiduously to develop and employ the emerging technology in mobile app development which is aimed at improving the way users interact with apps. Already, there are several signs, indications, and signals revealing that the AI will dominate the future of mobile apps.
In the tech world, AI is believed to hold immense potential and Indian app developers are gradually embracing and integrating this relatively new technology into their mobile app development seeing that it presents the best bet for the future. Already, the current mobile app market is consequently being flooded with new mobile applications and models leading to the creation of new and improved mobile app development services.
Even if you don’t notice it, AI is already around you and it has come to stay. In the past, this technology was only regarded as a futuristic concept for movies but today it has become a reality. And there is no better time to get involved with the trend than now. Interestingly, many Indian app developers are beginning to discover that mobile development and AI share common features and can make a perfect match. Obviously, there are lots of possibilities that can be accrued from the advancement of AI.
Combining artificial intelligence (AI) with mobile development will result in the creation of intelligent apps. Basically, this is concerned with the design and development of mobile apps that have the ability to learn, think logically, and solve problems. In a bid to effectively engage users, transform customer experience, and ultimately retain them, many app developers and top app development companies in India alike are already working to integrate the technology into their mobile applications.
The impact of AI on mobile development
Many tech and industry experts are suggesting that AI will be a major trend in various sectors, particularly in the mobile application development. To this end, everyone in the industry including, startups, growing businesses, and top app development companies are investing in artificial intelligence (AI) with the aim of providing efficient customer services and bring about a positive change. While some are incorporating the technology in the form of chatbots, others are looking to embed it into the infrastructure of their mobile app development as assistants to create smart apps.
Already, some tech giants like Uber, Amazon, eBay and the rest are making use of AI and judging from the look of things, it is a meaningful realization. With this new technology, Indian app developers are helping businesses support their customers with relevant, seamless, and personalized services. With time AI in mobile apps will understand customer behavior, thanks to its ability to effectively gather massive amounts of data from previous customer interactions and learn them. Apart from helping to bring customers closer to the business, AI-enabled apps are also helping to enhance customer interaction thereby boosting customer retention rate.
Basically, Indian app developers are finding ways to make use of the data that businesses are getting via mobile devices, online traffic, and point-of-sale machines to impact both business and consumer experience with AI’s influence. As more artificial and machine learning-driven apps make their way into app stores, things will change in the way and manner people communicate and interact. In a bid to create more insightful, context-rich experiences, the algorithms will be able to sift through the obtained data, find correlations and trends and get the apps adjusted to suit the personal needs of the user.
Obviously, there is much to achieve with these artificial intelligence algorithms in mobile app development. There is a wide range of AI-based mobile app development projects undertaken by Indian app developers. With the development of personal assistants, chatbots, and other artificial intelligence features, many big companies are already reinventing their user experience (UX) strategies. And in order to remain ahead of the competition, other businesses are following suit.
The future of AI-driven apps
Now that the entire ecosystem has been enhanced with regular and active access of data management and delivery, many Indian app developers will be employing AI which will become an essential necessity for robust mobile app development in the near future. Basically, there is every need for systems featuring data governance, data security, and metadata management to be fast and robust in indexing and cataloging.
Here are other ways through which AI development will impact the industry
It’s no longer news that businesses are adopting cloud computing technology to improve their services. It may interest you to know that Indian app developers will not only be adopting this technology to enhance development but will also be using it to troubleshoot errors in AI-driven apps.
As already mentioned, many businesses are already seeking to enhance customer interaction by investing mobile app development. However, integrating AI will help to boost convenience for customers and also help businesses reach a wider target audience. Businesses will not only be using AI-driven apps to observe internal communications, but these will help to simplify business activities in several ways.
Today, people are using location-based apps to search and find virtually anything they need in any location. AI-enabled apps will be synchronizing users’ interest, as well as their frequent searches to create results. Basically, these apps will be using obtained data to provide more desirable suggestions. Already, Google users can easily search for promotion offers, nearby restaurants and department stores with their smartphone via Google Assistant or Siri.
Internet of Things (IoT)
In recent times, there has been an increase in a range of new technologies due to the desire to further increase the mobility of users. IoT is one of such recent developments making waves in the industry. No doubt, AI will be enhancing the development of IoT helping smartphone users manage real-life events in the near future.
AR and VR
Together with AI, Augmented Reality (AR) and Virtual Reality (VR) is taking both the gaming and entertainment industry by storm. The release of Oculus Rift, Google Cardboard, Samsung Gear VR and other numerous models of VR devices are already influencing the industry.
The Internet of Things — or IoT — is taking the IT sector by storm. Although it only boasted two billion systems in 2006, it's set to reach 200 billion connected devices by 2020 — and even more beyond that.
As companies and consumers all continue to explore the benefits of the IoT, one thing has become clear: the IoT needs proper encryption.
Given the sheer amount of online and network-oriented threats today — including everything from traditional viruses to advanced malware and malicious computer coding — data encryption is necessary to ensure the long-term success of the IoT.
Establishing these protocols while the IoT is still in its infancy will provide additional integrity to IoT-fueled projects and generate increased interest in the platform as a whole.
Overcoming the Roadblocks to Success
Modern society is well on its way to embracing the IoT for everything from industrial automation to in-home convenience, but there are two significant roadblocks to the platform's success.
1. Power Consumption
Today's IoT networks, which contain servers, access points and peripheral devices, consume enormous amounts of power altogether, but some tools require more power than others.
While traditional network-level encryption tools are optimized for larger systems and infrastructure, they don't always scale down to smaller formats in an efficient or viable manner.
Developing a chip with higher energy efficiency and the ability to scale down minimizes the strain on current and local power grids and makes it easier to secure individual devices via existing encryption methods.
2. Data Security
Consumers have received an enormous dose of reality in the 21st century. Those who haven't fallen victim to a cyber attack or hack probably know someone who has. The number of data breaches involving consumer information is troubling.
There are even rumors of foreign entities interfering with U.S. elections, including the 2016 election of President Donald Trump. Data security is in the spotlight now more than ever before, and it's a tremendous obstacle for the IoT to overcome.
However, a new chip manufactured by the team at MIT solves both of these problems. Not only does it focus specifically on public-key encryption — a straightforward and user-friendly method of modern encryption — but it also consumes 1/400 of the power of comparable chips.
It also uses 90% less memory than current chips, which lets researchers execute commands and complete processes up to 500 times faster.
Encrypting Consumer Data via Mathematics
The newest chip utilizes elliptic-curve encryption. It's a highly sophisticated, dominant form of data security often used in HTTPS connections. MIT's latest advancement efficiently breaks this system down for use on the individual devices that comprise the IoT.
As noted by the team at MIT, "cryptographers are coming up with curves with different properties."
The new chip is flexible enough to support all the known curves in use today, giving it maximum compatibility with different organizational and governmental standards. The team hopes to implement additional support for any future curves, as well.
Making Advancements in Artificial Intelligence
The team at MIT is also making headlines in the area of artificial intelligence (AI). Between self-driving cars and increased automation both in the factory and the home, AI is a hotbed of debate. Whether consumers are in favor of automation or against the idea altogether, one thing is for sure: AI-driven robots must operate by an acceptable set of ethical standards.
Just like encryption, it's a subject that invites multiple interpretation and solutions.
To spur development into the future of AI ethics and programming, MIT recently took a poll of the online public. By seeking the input of the average consumer, the school hopes to play an essential role in how next-gen robotics make decisions, prioritize tasks and interact with their human counterparts on a daily basis.
How MIT Is Safeguarding Our Future
Between the increased need for data security and sophisticated AI, IT experts have their work cut out for them.
The work of individuals and groups like the team at MIT is already making headway into these areas, but society is only at the beginning of what will likely become a long-term, complicated relationship with technology.
Image by Kevin Ku
The past decade witnessed the emergence of two of the most significant technologies- virtual reality and Internet of Things.
Virtual reality refers to the use of technology to counterfeit an environment where the digital world seems real. It aims to place the user inside an experience, consequently enabling them to interact with the 3D worlds. On the other hand, Internet of Things is all about making real-world objects connect and manipulate in the digital world.
While both these technologies work to bring augmented ease to our lives, it's the convergence of the two that offer the most promising opportunities. Becoming quickly enmeshed in the prevailing times, the two disruptive technologies have largely revolutionized the industrial platform.
The meeting point of the two technologies boasts of immense potential. Let’s understand this with some examples.
The encroachment of telepresence depicts the colossal potential of the confluence of IoT and VR. If we talk about a typical video conference, the system includes a monitor screen, sound system, and codec. You can add additional speakers or a projector screen to improve the video conference experience. However, with telepresence, it is not the same.
With an aim to extend near lifelike audio and video quality, telepresence leverages compound multi-codec, multi-monitor, and multi-speakers. It has successfully transformed the way we can communicate with others over long distances. It offers the ability to look and move freely within a real-world environment, giving the illusion of actually being present there.
Telepresence has efficaciously eliminated the time and financial constraints related to travel. Offering all the benefits of a face-to-face interaction, it has made long-distance meetings exceedingly convenient.
2) Virtual Smart Cities
An increasing number of cities around the world are looking to become “smart” in order to improve comfort, reduce costs and consumption of resources and augment the quality of life of its citizens. Consequently, for the concept to materialize, it is significant that Internet of Things along with its accessibility to public grows. This will enable adequate accurate data to be amassed in cities for analysis and forecasting.
Moving ahead, these cities need to be integrated into a well-controlled virtual environment. This will allow an accurate analysis of the prevailing city conditions as well as help in making predictions of the impending future scenario. Thus, any kind of risk or disaster can be effectively monitored to simulate its effects.
The union of VR and IoT technologies has greatly assisted the healthcare field by bringing improved ease to patients as well as doctors. A competent example of this is robotic-assisted surgery, which has been in use for quite some time now. Also known as da Vinci Surgical System, it allows the surgeons to perform a least invasive surgery. A camera along with a few tools is inserted into the body through a relatively small opening that allows the surgeon to get a full view of the operating area without exposing the patient to the ordeal of a large incision.
The system includes a 3D HD vision system and small wristed devices that revolve and bend much better than the human hand, thus enabling improved vision, control, and accuracy.
But, this is just the beginning. It is anticipated that VR surgeries will soon control real da Vinci systems, permitting surgeons to operate on patients while sitting in their offices.
Considering the potential of the two technologies, more and more companies are investing into the development of new applications of both virtual reality and internet of things and because of that, in past several years so many IoT App development companies has been evolved in the market. In the following year, it is predicted to see a growing number of integration of smart objects within virtual simulations, for purposes such as leisure, training, or damage prevention.
The IoT is one of those amazing bits of technology that will give us a remarkable edge. It will also cut both ways. It is automating many jobs and making them much easier to do and offering very lucrative jobs for those who are in possession of the right skill set.
Still, its unavoidable that IoT is going to kill many jobs. In manufacturing alone the IoT is going to eliminate millions of jobs as they are replaced by what machines can do.
Add to that the fact that IoT and cognitive computing combined are going to threaten many top level and very prestigious positions as our advancing computers learn how to do jobs that require thought as opposed to just mechanical tasks.
Make AI and IoT Work Harder to Your Benefit.
The intelligent employee is going to try to find the best way to leverage the changes in AI and the rapidly growing power of IoT. Thomas Davenport, professor at Babson College recommends that employees who are concerned about losing their jobs look for ways to use the power of AI and IoT as opposed to allowing it to automate jobs alone.
Tap Into Crowd Powe .
According to Tripp Braden who recruits for Strategic Performance Partner ” “Most businesses are built on the idea of an ideal worker being like an eagle, strong, self-motivated, and independent worker.” The typical model is becoming a lot more team powered and companies and individuals need to take advantage of that in order to future proof their jobs.
Tamara McCleary agreed with that assessment. “As we head into a new age, we are disrupting the notion of one job being completely distinct from another. IoT is also leading to shifts in collaboration between fields,” McCleary continued to state that . “It is breaking down barriers between different fields such as big data, security, energy and utilities, smart buildings, and industrial manufacturing. And for many companies, IoT is enabling a transition from product to services. This shift demands more skill versatility from workers.”
Be an Expert in Your Field and Constantly Learn.
Its not enough to become an expert, but you must also learn consistently and continue to grow in your chosen career field. If some area of that field is being automated, becoming an expert in the automation and how it can benefit your company is going to future proof your job and keep you ahead of the game.
Build Your Own Brand.
Become what is known as a thought leader in your area. Even if you don’t know all that there is to know about Iot or AI, get great professional head shots. Build your brand on LinkedIn and also on social media such as Facebook and Twitter. If you’re visible only on LinkedIn, with just 184 million users and you are conspicuously absent on Facebook (1.5 billion users) then you’re not doing as much as you could be to build that brand and surpass the other thought leaders in your arena.
Make Smart Choices.
Whatever business you are in, make smart choices and decisions that will future proof your job. Gather as much data as you can and use it to make better business decisions that will show you up as a leader in thought and in action.
Be Creative and Be Forward Thinking.
What works today in IoT and your job isn’t going to work tomorrow. Be willing to adapt in order to overcome obstacles and problems in your job. In order to future proof your position, you’re going to have to be willing to change as rapidly and as dramatically as IoT is changing.
My first hands-on experience with a drone goes back to summer of 2012 when I visited my little cousin in Cincinnati. It was what he called a quadcopter. My cousin would place it on his palm and launch it from there with an Xbox-type-controller. It could easily go around the neighborhood, making rounds near the lake before settling back on my cousin’s palm.
It had a rotating camera with which he used to spy on his brother and complain their mother. That was best holiday of my life. We were all kids, free, careless and had a drone to play around. It was a cute toy that everybody in the neighborhood used to adore.
Image Source: https://gadgetsdeal.in
We used to watch a lot of sci-fi movies, and the notion of a full-scale robot that is indistinguishable from a human used to fascinate us the most. A neighboring guy who returned from Japan after spending most of the childhood there used to tell us the story of how kids over there would fight their home-made robots against each other on heavy bets.
The term AI started making rounds in mainstream media the same time. Artificial intelligence (AI, also machine intelligence, MI) is intelligence displayed by machines, in contrast with the natural intelligence (NI) displayed by humans and other animals. Yes, NI or natural intelligence is a term now.
What is AI?
AI is defined by two definitions that overlap each other at the time of mobile application development and conceptualization.
- Machines perceives its environment and takes actions that maximize its chance of success at some goal.
- Machine mimics/ emulate "cognitive" functions that humans associate with other human minds, such as "learning" and "problem solving".
AI and Drones
Image Source: blog.hbcommunications.com
Did I mention my cousin and I used to control the quadcopter with a joystick? If you look at the 1st definition of AI, it talks about reaching or arriving at the goal without human intervention. That’s, an AI-enabled drone just need a goal to trigger a series of reaction in order to realize its goal. The goal could be fed to it by a human directly with the help of a computing device capable of natural language processing and run party applications.
The delivery drones and AI
There are many reasons people would prefer a drone over a delivery boy. Drones are cute, they don’t need to call you for direction, they don’t give a damn about traffic, they are harmless, and they don’t expect tips. For businesses, keeping a force of delivery drones is much less of an expense than a team of human delivery boys. They may be costly to procure but they don’t expect remuneration like humans. And with AI, they are becoming as smart as a trained human.
Image Source: https://cdn.technologyreview.com
A delivery drone must be, extremely, cautious of its surrounding and should be able to take decisions on its own. To pick items from one place to another, it must be location-aware and connected to the internet. In addition, it should protect itself from birds and bad weather.
As defined in the second definition of Artificial Intelligence, an important facet of AI enabled machines is this that they can learn from their experience. That is if an intelligent drone learns that the shortest path from A to B isn’t via c but D. It’ll will take the route via D whenever it has to go to B.
My cousin quadcopter with AI: A concept
What if, the quadcopter I grew up playing with was AI enabled. My cousin would never have needed a controller to control it. He would just tell the quadcopter to spy on his brother 10 times a day and it would do that several times a day while my cousin is resting his bumps in front of the video game, sharing popcorn with me. When it is done making the spying round, it would email interesting photos straight to their mother.
That would have made our childhood lazy, have given us a lot more time to play video games, made us lot more arrogant humans who expects things to be done by themselves. After all, technology is supposed to make our life easier and it evolves as our life complicates further. Otherwise, we don’t need a drone in the first place.
The invisible drone
Not in a literal sense but those drones would be so small that they will become invisible at a height to an everyday viewer. Come on, we don’t see every object that flies over us. Even when it does, we don’t give a damn. We have better things to do. For example, my boss’s wife had a birthday last week and it took me three hours in blistering cold to pick her the best cake.
Well jokes apart, they could see you when you couldn’t. If at all they will be visible they would look like a fly. Such a small size means, they can charge their battery with a light source in your house in seconds while looking like an innocent fly enjoying bright light at night.
This one is scary: The drone swarm
Coming back to my cousin’s quadcopter, except this time there will thousands of it together.
They could overpower guns and technology that armed forces have used for years. Think about it: in a city like New York, squads of tiny quadrotors could roam around to gather intelligence.
They can attack a warship while having a footprint too small for a gun or missile to hunt them down. Nonetheless, one missile can hunt down a couple of member, but the swarm will rearrange and keep going.
Image Source: lowcost2.ru
Pocket drones are small enough to carry in your pocket without feeling uncomfortable. They fly indoors, in your home and bring your smartphone when you left it in the bathroom, pick your newspaper as soon as you sit on your couch or bring your favorite book or a chilled bottle of beer during bedtime.
Sounds too good to be true! This is just the beginning.
Believe it or not, but the possibilities that the Internet of Things, IoT brings to the table are countless. The internet of things, IoT continues to be the next big thing in technology, and now the new phase of the internet of things is pushing everyone hard to ask questions about the data collected by sensors and devices of IoT.
Undoubtedly, the internet of things, IoT will generate a tsunami of data, with the swift expansion of sensors and devices connected to the IoT. The sheer volume of data being produced by the internet of things will rise exponentially in the upcoming years. This generated data can provide extremely valuable insight to figure out what’s working well and what’s not. Moreover, the internet of things, IoT, will point out the issues that often arise and provide meaningful and actionable insight into new business opportunities and potential risks as correlations and associations are made.
Examples of IoT Data:
- Data that improves productivity of industries through predictive maintenance of equipment and machinery
- Data that assists smart cities in predicting crime rates and accidents
- Data that creates truly smart living homes with connected devices
- Data that provides doctors real-time insight into information from biochips to pacemakers
- Data that gives critical communication between self-driven automobiles
That’s great news, but it’s not possible for humans to monitor, analyze and understand all of this data using traditional methods. Even if they reduce the sample size, it will simply consume too much of their time. Undoubtedly, finding actionable insights in terabytes of machine data is not a cakewalk, just ask a data scientist. The biggest challenge is to find ways to analyze the deluge of performance data and information that the internet of things, IoT devices creates. The only possible way to keep up with the terabytes of data generated by IoT devices and sensors and gain the hidden insights that it holds is using Artificial Intelligence, commonly known as AI.
Artificial Intelligence (AI) and IoT
Artificial intelligence, also known as machine intelligence (MI) is the intelligence that is exhibited by machines or software. John McCarthy, the person who coined this terminology back in 1955, describes it as "the science and engineering of making intelligent machines". In a nutshell, AI is a branch of computer science that emphasizes the creation of an intelligent machine that thinks intelligently, the way intelligent humans think and works and reacts like humans.
In an IoT environment, Artificial Intelligence (AI) can aid business enterprises take the billions of data points they have and prune them down to what’s really helpful and actionable. The general principle is akin to that in retail applications i.e. review and analyze the data you have collected from different sources to find out similarities or patterns, so that better business decisions can be made.
To be able to figure out the potential risks or problems, the collected data has to be analyzed in terms of what’s normal and what’s not. Abnormalities, correlations, and similarities need to be identified based on the real-time streams of data generated. The collected data combined with Artificial Intelligence makes life easier with predictive analytics, intelligent automation, and proactive intervention.
Artificial Intelligence in IoT Applications
- New sensors will enable computers and smart devices to “hear,” gather sonic information about the user’s ambience
- Visual big data will allow computers and smart devices to gain a deeper insight of images on the screen, with the new AI app that understands the context of images
These are some of the promising applications of Artificial Intelligence in the internet of things, IoT ecosystem. The potential for highly personalized services are countless and will dramatically change the way people live. For example, Amazon.com can suggest what other books and movies you may like, helping Saavn and Gaana to determine what other songs you may love listening, and your family doctor would receive notification if you’re not feeling comfortable.
Here Are Some Challenges Facing AI in IoT
- Artificial Stupidity
- Ethical and legal Issues
Gartner has predicted that by the end of next year, 6 billion connected devices will be requesting support, which means that processes, technologies, and strategies will have to be in place to respond to them. It is important to think of connected devices less as ‘things’, but more as customers or consumers of services in themselves. The need for Artificial intelligence, AI will become more prominent at the stage when the number of connected devices and sensors increase manifold.
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Two years ago, IBM announced a groundbreaking partnership with another colossal tech pioneer – Apple, in order to enhance the mobile enterprise space. In little over 25 months, the two companies have declared a major breakthrough – on October 25th, IBM officially announced that the company will incorporate the famous Watson capabilities into the MobileFirst for iOS ecosystem. The integration will bring deep data analysis, natural language processing and even more features to iOS 10.
The Intelligence Inside
This is just the most recent dramatic outcome of the IMB/Apple partnership. You may recall that just a few weeks ago, IBM’s VP of WaaS, Fletcher Previn said that each Mac deployment will cost the company around $535, in comparison to PCs. Seemingly, this latest move will have a huge impact on a wide range of “real-life” situations and strengthen Apple’s growing position in enterprise IT. In fact, according to the IMB, business apps will now have the ability to understand and even learn on the basis of data analytics.
But the question you might be asking yourself is – how will all of this work in practice? Well, Mahmoud Naghshineh, general manager of the Apple/IBM partnership explains that an average technician would be able to literally ask the F&F app to look up some suggestions on how to solve a specific equipment problem. The app would essentially enable them to pay more attention to the piece of equipment – and as Apple puts it – would provide a “hands-free” solution when a technician needs it most.
What’s more, as numerous experts predicted last year, a technician that is using an app with Apple Watch support will be able to call up some kind of intelligent support system, while keeping their smartphones in their pockets. Basically, cognitive technology coupled with mobile aims to be transformational – its goal is to change how workers interact with enterprise applications in order to assist any company, and eventually, any industry move forward.
The Future Lies in Contextual Awareness
And while IBM’s Watson is smart enough to listen closely, learn from you and make increasingly refined suggestions in reaction to certain situational needs, the system is still not contextually aware. You have to understand that modern voice assistants, like Google Now and Siri, are simply comprised of pattern matching and voice recognition software, tied closely to a number of typical questions and answers. But cognitive computing is a more powerful beast.
Watson delivers a comprehensive set of abilities based on technologies like computer learning, reasoning and decision technologies; language and speech systems are disturbed, high-performance computing. Simply put, Watson always learns from previous interactions with humans and machines, and gains in knowledge over time. The system can learn from past experiences, and consequently learn and create conclusions from different experiences. Once we move into “Cognitive Era", and when this system merges with, for instance, 3pl logistics and other eCommerce software solutions, most companies that leverage the technology will have the highest probability of success.
It is Just a Quest of Ethics
While IBM is still enthusiastic, the company knows that these forms of AI are the peak of our society’s digital transformation, and that they are likely to have a long-lasting effect on our society. Artificial Intelligence systems are augmenting human intelligence in every field imaginable, and will transform our lives on a personal and professional level, in the long run. As a matter of fact, we are likely to see cognitive robots integrated into our society as bartenders, receptionists and even doctors. They could even be useful as carers of our kids and elderly.
AI systems such as IBM’s Watson are indeed powerful, and like with all powerful tools, we have to take great care of their usage. We have to agree that IBM’s job as a part of the global community is to make sure that the cognitive tech they (and others) develop is manufactured the right way and only for the right reasons. The company may be involved in several efforts to advance our overall understanding if problems affecting the ethical development of AI occur.
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