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Artificial intelligence gives us more and more opportunities every day. Chatbots and their developing for client-communication are the hottest topics today. Many experts say that chatbots are the future. Let’s get a short review.
 
Who are they?

Chatbots are essentially programs pretending to be people that you can interact with through text or even voice. They are closely connected with a wide messenger’s distribution and I believe everyone has been already acquainted with them. It’s obvious that chat- bots’ popularity is starting to take off.
 
How can they enhance e-commerce?

1. First of all chat bot doesn’t get tired, being late or absent – it assists your clients 24/7 365 days per year and get significant workload on its shoulders. That is why they seem to be the best answer for e-commerce business owners to manage thousands of one-to-one conversations with customers.

2. The second point is that chat bots can understand natural language and communicate with people in the same manner making conversations realistic and trustworthy. So chat bots give online shop owners an opportunity to provide pleasant shopping experience for customers.

3. Chatbots are proactive. They can understand what the particular customer wants not only through a simple conversation, but also through analysis and collecting of personal and profile page data ( smartphone data, cookies and so on). All this information might help to improve the marketing strategy and provide customers with the best user experience.

4. Additionally, chatbots simply save customers’ time. You don’t need to waste time for searching the appropriate item, click on mass of characteristics, study a market and etc. You can simply say : Hey, I want to buy an efficient computer for my child. Bot does it for you with a great pleasure and at a quick pace.

5. Finally, all this points give more advantages for businesses: services become much more better and faster, the conversion becomes higher, sales increase, operational costs and salary charges reduce.

 

 
Fresh examples of using

The most outstanding example is already occurring in China, where consumers are using WeChat to fulfill their daily living and commerce needs. Soon, this system will gain prominence in the United States.

Further more brands like Walmart and Hyatt are testing customer service and shopping within apps on the new Facebook Messenger for Business App. A free messaging app, called Kik, has a bot shop for companies such as Sephora, Vine, and H&M. So it can be said that the part of the technology is already there.

Amazon’s voice bot messaging has brought the idea of personal assistant to the next level. Customers can talk to the bot and ask it to order items through Amazon Prime, get a pizza, purchase flowers and call for an Uber. Voice commands are making shopping easier than ever, but there are still many issues to work out.

 

 
What’s Coming in the Future?

Voice-based AI and mobile chatbots are the dominant trend right now, but it’s not crazy to think that this could evolve into something more personal and user-based. E-commerce data is there to help you segment and automate email messaging to certain customers, so it’s not silly to assume that this data will eventually merge with bots.

Imagine a personalized bot that talks to you, and only you, when you shop on the Target website. They’d know the last items you bought, deliver the most relevant products and even stock your shopping cart with suggestions. The days of taking hours to shop online will soon knock the pad. In the near future, all the work will be done for you.

Are you ready for this?
 

Kate Kviatkovskaya

Kate Kviatkovskaya

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The demand for healthcare services is growing at rapid pace due to constantly increasing number of people with chronic diseases. These days approximately every one of two individuals has one or more chronic diseases, and one of four has two or more chronic conditions. At the same time, there are more medical information today about different diseases and their treatment options than ever before.
 

According to IBM, healthcare data doubles every 2 years. It is also calculated that doctors would have to read 29 hours each workday to keep up with new professional insights. Obviously while dealing with this huge information flow, doctors don’t have enough capacities to decide how appropriate an option might be for a specific patient.

Additionally, the most expensive part of healthcare is the human resources, which adds to the supply-and-demand issues. I guess no one will doubt the fact that professional healthcare is costly.

These insights bring up several questions. How can we benefit from explosion of information in healthcare industry? Is it possible to cut the costs for people who seek healthcare treatment without sacrificing the quality of such services? Or even improving it? How do we find a balance after all?

The answer lies in two words: cognitive computing. It is a system that can handle massive amounts of unstructured data to enable a new class of data interpretation and learning systems. Cognitive systems process information by comparing it to a teaching set of data. So that the more data such a system can analyze, the more it learns, and therefore the more accurate it becomes with the course of time. To mimic the way the human brain works cognitive systems use data mining, pattern recognition and natural language processing.

The main advantage of these machine-learning systems is their ability to find patterns in datasets too large and complex for human brains to embrace. For doctors this means assistance of paramount importance in keeping track of records and making accurate clinical decisions. IDC predicts that by 2018 somewhat 30 percent of healthcare systems will be running cognitive analytics against patient data and real-world evidence to personalize treatment regiments. What’s more, IDC projects that during the same year physicians will tap cognitive solutions for nearly half of cancer patients and, as a result, will reduce costs and mortality rates by 10 percent.

For patients the ability of cognitive computing to act as an advisor and give an additional opinion allows an extra level of assurance in the service provided by the healthcare sector. Eventually the patients will have more confidence in the service they are receiving. Besides, involving cognitive computing into healthcare means availability of remote check-ups, including areas with relatively little healthcare provision. It is predicted that in the U.S., for example, in the nearest future 40% of primary care encounters will be delivered virtually, which will be possible thanks to cognitive systems.

Summing up, cognitive computing can help:

  • Healthcare specialists to manage all the data that is available to make more precise conclusions over the patients’ conditions
  • Patients by advising, and providing answers to the questions they have
  • Decrease costs for healthcare services

As data becomes more complex and diversified, cognitive computing will have an incredible impact on the healthcare industry.

In conclusion, let me give you one single real-life example. Watson (famous IBM cognitive system used to diagnose patients) was able to determine a rare form of leukemia in an old woman, while oncologists at the University of Tokyo had puzzled for about a year over her illness. After analyzing 20 million research papers Watson came up with the proper diagnosis. It took the system no more than ten minutes. Impressive, isn’t it?

 

alexandra-presniatsova

Alexandra Presniatsova

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Technological progress doesn’t stand still and products like Google Home and Amazon Alexa have already made a splash this year and will continue to grow next year. GSV Asset Management VP Li Jiang made a list of the more nascent and emerging products. Li points out that majority of projects are connected with robotics, alternative energy resources and augmented reality. So let’s see what new products the world’s expecting in the upcoming year.
 
10. Snap Spectacles

The Snap Spectacles allow you to move around, make videos from your perspective and stream them to Snapchat. Such spectacles are already available in California and in 2017 will get a much broader expansion.

 
9. Starship Technologies

Little delivery robots are believed to revolutionize the whole delivery processes. In late 2016 first robots appeared in Washington D.C. and Redwood City, CA and have already rolled around 11,600 miles and made 1.8 million people happy.

 
8. Electron (Rocket Lab)

Electron, Rocket Lab’s latest launch vehicle is going to deliver small satellites to low Earth orbit at an unprecedented frequency and at a dramatically decreased price. The company unveils its product as having revolutionary design, plug-in payload, carbon composite materials, avionics and has an ambitious goal of launching more than 100 rockets a year.

 
7. Zipline

Zip is a small robot airplane designed for delivering important lifesaving medicine. At present they are working in Rwanda and other markets to drop medical supplies and expected to go worldwide.

 
6. Remedy

Meet Remy, the world’s smartest medical AI. Remy works alongside your personal doctor and, using data from numerous other cases and its AI engine, can treat 70% of cases remotely and quickly find additional help for you as needed.

 
5. Tesla Solar

Tesla is making cost-effective roofs serving for saving solar energy for domestic use and as a backup energy source. The new lineup includes attractive roofing tiles that contain solar cells inside. Integrating solar cells inside roofing materials is a natural way to accelerate solar adoption.

 
4. Anki Cozmo

Cozmo is a miniature robot on tracks which is believed to become a part of your family. Endowed with AI, it has a talent to recognize people, remember their faces, change expressions on its ‘face’ and communicate with people. Cozmo is managed through an iOS or Android mobile app. It’s already launched on the market, but a bigger roll out is expected for 2017.

 
3. Octane AI

Octie is a real breakthough in the entire chatbot industry. Octane AI lets your business create a basic chatbot that will showcase products and answer customer service questions. Octie is easily customized, integrates with all possible social networks and makes real-time analytics. Real profit for business owners who prefer to focus on bigger strategy work.

 
2. Tesla Model 3

Not all technical characteristics are revealed yet, but Model 3 is expected to be most affordable among Teslas, expected starting is $35,000 before incentives. All Model 3s come with full autopilot hardware and can receive ever improving self-driving software updates over the air, i.e. your Model 3 would be able to get you to the office and back home itself.

 
1. Magic Leap

If Magic Leap releases its product in 2017 and it works the way the teaser videos show, it would be a real Magic Leap forward. For now we can just watch teasers and imagine how such a product will change our lives and attitude to technology.

So my question to the audience is: which one you will buy first?:)

 

Yulia Nenadovich

Yuliya Nenadovich

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Technology is winning its everyday challenges at a pace faster than ever before. As compared to the previous year, tech trends have become embedded to practically every sphere of digital business. There is constant growth of software spending on technologies because technology is now rooted in every sphere of digital business. For entrepreneurs and self-starters it is necessary to leverage strategic technologies to reach target audiences next year.
 

What is to become mainstream in 2017?

AI & Advanced Machine Learning

Artificial intelligence (AI) and advanced machine learning (ML) are represented by many technologies and techniques such as deep learning, neural networks, natural-language processing. They have a potential to create more advanced systems that are able to adapt. Such systems will be able to change future behavior, leading to the creation of more intelligent devices and programs. But the trend is to develop ML and AI to autonomously operated systems in long-term perspective. These techniques are likely to be introduced into almost every sphere of digital business as inborn components within a decade.

Virtual & Augmented Reality

The world is now ready for augmented reality (AR) and virtual reality (VR) technology while early-stage devices are springing up in different spheres. Much work is done to transform interaction of human beings to the next level by moving them to immerse environment with the help of VR. It allows undergoing training in remote places or creating certain scenarios under pre-established criteria. As for AR, it can blend the real and virtual worlds, which has great potential for application in lots of businesses. It is estimated by market researchers that worldwide revenues for the AR/VR market will grow from $5.2 billion in 2016 to more than $162 billion in 2020. That is why many observers claim that the year 2017 to be a starting point (or at least a transition period) of AR/VR versions of practically every application to emerge.

Intelligent Things

Robots, drones and vehicles-these intelligent things have spread tremendously through the current year. But what potential do they have for the coming year? It is predicted by Gartner agency and other research firms that the apps that control IoT devices will also use machine learning and AI. This means that all the ordinary elements of environment, from toothbrush to your car, may become interconnected and collaborate to make decisions in everyday practice. Major advancements are yet to come. Experts claim that solutions to tie every app which controls intelligent things together into a single, seamless user experience are to be made in the year 2017.
 

Digital Twins

Next year is predicted to be the time when digital twin’s idea will spread to most remote parts of the world. It is a software replica of a physical thing or system which uses sensor and physics data. The sphere of application of a digital twin will widen with the time and by the year 2020 they will likely to be used for improving operations and creating new things.

Conversational systems

Intelligent objects are predicted to have some form of conversational interface in the near future. And the coming year, in particular, is likely to produce a device mesh when there will be a merge of different interaction techniques resulting in innovative digital user experience. It is now represented by a trend in app development which lets users interact with apps through texting. The next year is likely to provide such solutions to other intelligent objects which surround us in everyday life.

Mesh App and Service Architecture

MASA- or “Mesh App and Service Architecture” is considered to be an IT-system which enables communication, collaboration and learning within some digital ecosystem. Such architecture will hold together and interconnect different services to enable users gain experience through shifting across different sections (e.g., desktop, smartphone, vehicles).

Adaptive Security Architecture

There is much room for new smart devices for better learning and protecting. It is especially necessary in the vulnerable system of IoT which can be brought down by DDoS attacks. The idea behind adaptive security architecture lies in recruiting AI smart solutions within security tools. IoT is now becoming a special frontier for security specialists. Will 2017 become a year when new remediation tools and processes will be embedded into IoT intelligent devices? The answer is to be given soon.

These are some of major tech trends we’re in store for in 2017. They seem strategic and have lots of potential to grow to autonomous systems, like in case with AI and advanced machine learning. Some of the abovementioned trends are likely to take off next year; others will boost their presence in the digital business in several years. But even ordinary people will soon be able to experience the world where boundaries between real and digital blur.

What’s your idea of the tech trends for 2017? Please feel free to share your thought in the comments below.

 

Yuliya Tolkach

Yuliya Tolkach

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Internet of Things(IoT) is extremely broad phrase, and can mean a great many different things. But it does not change the fact that each day more and more devices all over the world are being connected to the Internet. At that rate, Internet of Things (IoT) development projects are gaining popularity to say the least.

It is definitely the trend. This brings up a question: what programming languages are the most popular for IoT project? Well, according to the Eclipse Foundation survey, Java, JavaScript, C, and Python are the top four programming choices for developers who are building IoT solutions. Let’s look into them!

Java

Though some people question the use of Java in IoT it is not surprising to see Java as being the most popular among developers who are working on IoT solutions. The practicality of the statement “write once, run anywhere” still predetermines the choice in a great measure.

Java advantages are apparent. It is an object-oriented and platform independent language. Thus coding and debugging can be done on desktop and moved to any chip with a Java Virtual Machine afterwards. Therefore code can be run not only on places where JVMs are common (servers and smartphones), but also on the smallest machines. Minimum hardware dependency is a huge plus. This also means that Java is great from an economic standpoint: devotion to Java coding can pay back across various platforms.

Besides, by now Java has attracted an active community of millions software developers and is being taught as one of the primary programming languages in the majority of engineering degree programs. Consequently, finding someone skilled in Java programming should not constitute a problem.

Last but not the least, maturity and stability of this language make it even more attractive. When there are devices that are going to be remotely managed and provisioned for a long period of time, Java’s stability and care about backwards compatibility become important.

It should be taken into consideration thought that your choice of IoT platform should support Java. You should make sure available hardware support libraries should have control functions according to your requirements too.

Javascript

Combining some knowledge from other languages JavaScript has not only proven itself worthy on both the client and server side of the web, but it also has a huge potential in the growing Internet of Things domain.

The main difference between Javascript and Java is that JavaScript is a scripting language that has a range of existing libraries, plugins, and APIs, and many of them can be used to create complicated IoT apps easier and faster. Instead of building a range of new libraries and plugins, developers are free to reuse and further develop existing solutions around the web for absolutely new implementations.

Remarkably, applications that listen for events and respond when events occur are a strength of a JavaScript. Effective and secure communications and interactivity are of paramount importance in the IoT, and there are great systems for dealing with requests and events. For example, Socket.io maintains an open connection between the server and the browser and thus enables the server to push updates to the browser as they happen. This gives you a chance to see the changes in the IoT network without a page refresh. By providing real time event based communication across multiple devices Socket.io really comes in handy.

Additionally, much of the Internet is built on JavaScript and huge portion of the web functionality is enabled through JavaScript. Connecting up the web to our IoT devices and using the language that web pages and web apps already speak lead to simplicity in management.

It’s important to mention however, that Javascript would be a bad choice for lightweight embedded controllers.


C

Created to program the telephone switches C programming language has almost monopolized embedded systems programming. Its proximity to machine language makes it impressively fast.

C can create compact and faster runtime code. Still it should be noted that runtime speed isn’t the primary aspect of development to consider. Development speed should also be takes into account (and other languages may be much more efficient in that).

Another vote for stems from the fact that majority of the modern languages follow the syntax of C, which means that it is easy to learn and effective in accomplishing advanced tasks.

As both completing complex tasks and finding developers with extensive experience in C is relatively easy, its applicability to IoT projects speaks for itself.

Still, there are some drawbacks of C that make it less preferred in today’s development world, e.g. poor data security and no run time checking mechanism.

Python

Although Python originally is widely chosen for Web development, it has significantly gained popularity in the IoT coding arena for the past few years. Such huge advantages as its flexibility, writability, error reduction, and readability contributed to that greatly. Distribution of compact executable code is easy. Working in programming teams is easy. Known as organized and neat, its elegant syntax is great for database arrangement. Sure, Python is a good choice for building applications that take data, convert it into any sort of a database format and draw upon the tables for control information. Python also has libraries for all 3 main IoT protocols such as TCP/IP, Bluetooth and NFC.

Additionally, IoT projects involve lots of data analytics and Python has rich modules for that.

Finally, major IoT hardware platforms and micro-controllers, e.g. Arduino, Raspberry PI, Intel Galileo, are enabled for interactive communication through Python.

Probably, the main problem for Python is its runtime speed, especially in comparison to C. Still there is a number of ways to optimize the code so it runs more efficiently.

Steady increase in popularity of Python for IoT is evident.

So which programming language is the best for IoT?

No definite answer, guys… All the above languages influence the IoT space up to an extent. However, the preference of language today depends on the end use of the app, product or service you want to create. What do you think? I’d love to hear your thoughts in the comments!

 

alexandra-presniatsova

Alexandra Presniatsova

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We see this “Is Java out of business?” question pop up year after year. They say that Java is the least feature-rich language of the popular languages on the JVM and the slowest to move on new features in the last decade. There are also people who believe that because so many new JVM languages are being invented is proof that the Java language is lacking and that Java is no longer meeting the needs of many developers. And yet, by all external markers, Java is alive, well, and growing.

Here are several proofs for it:

1. TIOBE ranked Java as its top language of 2015 currently shows it enjoying 5% growth in use since 2014, more than any other programming language.

2. RedMonk has recently published the latest edition of its bi-annual list of the top programming languages. Compiled with the help of data obtained from GitHub and StackOverflow, this list tells us about the usage and discussion of a language on the web. Just like the previous years Java is among the top of the programming languages.

3. Further, the PYPL Index, which ranks languages based on how often language tutorials are searched on Google, shows Java clearly out in front with 23.9% of the total search volume.

Since Java first appeared it has gained enormous popularity. Its rapid ascension and wide acceptance can be traced to its design and programming features, particularly in its promise that you can write a program once, and run it anywhere. Java was chosen as the programming language for network computers (NC) and has been perceived as a universal front end for the enterprise database. As stated in Java language white paper by Sun Microsystems: “Java is a simple, object-oriented, distributed, interpreted, robust, secure, architecture neutral, portable, multithreaded, and dynamic.”

So here are the most common and significant advantages of Java that helped it to take its high position in a quite competitive environment of programming languages:

  • Java is easy to learn.
    Java was designed to be easy to use and is therefore easy to write, compile, debug, and learn than other programming languages.
  • Java is platform-independent.
    One of the most significant advantages of Java is its ability to move easily from one computer system to another. The ability to run the same program on many different systems is crucial to World Wide Web software, and Java succeeds at this by being platform-independent at both the source and binary levels.
  • Java is secure.
    Java considers security as part of its design. The Java language, compiler, interpreter, and runtime environment were each developed with security in mind.
  • Java is robust.
    Robust means reliability. Java puts a lot of emphasis on early checking for possible errors, as Java compilers are able to detect many problems that would first show up during execution time in other languages.
  • Java is multithreaded.
    Multithreaded is the capability for a program to perform several tasks simultaneously within a program. In Java, multithreaded programming has been smoothly integrated into it, while in other languages, operating system-specific procedures have to be called in order to enable multithreading.

Nonetheless things changed since the time when Java was created. In the recent years, many important languages have appeared and left an impact on the technology world. Due to their simplicity and user-friendliness, they have managed to surpass the more established languages. So we tried to make a list of reasons why Java is going to stay on the grind in the nearest future:

1. Java is time-proved.
You generally need a strong reason to switch from a language you’re currently using: it requires time to practice and learn new languages, and you have to be confident that the language you’re considering switching to will be supported in the long term. Nobody wants to build software in a language that will be obsolete in five years’ time.

2. JVM and the Java Ecosystem.
The Java Virtual Machine, or JVM. compiles programs into bytecode, which is then interpreted and run by the JVM. Because the JVM sits above your specific hardware and OS, it allows Java to be run on anything, a Windows machine, a Mac, or an obscure some flavor of Linux.

The big advantage granted by the JVM is in this increased compatibility and the stability it affords. Because your application runs in the VM instead of directly on your hardware, you can program said application once and trust that it is executable on every device with a Java VM implementation. This principle is the basis for Java’s core messaging: “Write once, run everywhere.” And it makes Java applications very resilient to underlying changes in the environment.

3. Java and the Internet of Things.
“I really think Java’s future is in IoT. I’d like to see Oracle and partners focused on a complete end-to-end storage solution for Java, from devices through gateways to enterprise back-ends. Building that story and making a success of it will help cement the next 20 years for Java. Not only is that a massive opportunity for the industry, but also one I think Java can do quite well,” said Mike Milinkovich, Executive Director of the Eclipse Foundation.

Oracle agrees. Per VP of Development Georges Saab, “Java is an excellent tech for IoT. Many of the challenges in IoT are many of the challenges of desktop and client Java helped address in the 1990s. You have many different hardware environments out there. You want to have your developers look at any part of the system, understand it and move on. Java is one of the few technologies out there that lets you do that.”
 
Thus, Java might have its detractors, and some of their arguments might even be reasonable. Nonetheless Java has evolved a lot since its inception, holds the lead in many areas of software development and has more prospects for the future. So, in our opinion, its survivability is not in doubt.

And what do you think? Is Java going to become one of the dead languages? Or it has all chances to survive? Feel free to share your thoughts in comments below!

 

yana-khaidukova

Yana Khaidukova

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It’s not a secret that technology does not stand still and every year gadgets are becoming smarter and the developers are trying to surprise users and make something incredible. Probably, one of the most expected smartphone of this year – is the new iPhone 7. It not only possesses all the necessary functions, but also belongs to the category of image devices.

As we have already known Apple will release its next-generation iPhone in a week, and with a launch date fast approaching, details about the new device have been leaking out at a rapid pace. As with most iPhone launches, we’ve seen a slew of rumors that have given us a solid look at what we can expect to see when Apple unveils its new iPhone on September 7.

Of course, as with any rumor cycle, we have seen some conflicting information, so there will still be an element of surprise when Apple CEO Tim Cook and other Apple executives debut the 2016 iPhone.

Well, let’s have a brief look of what we can expect from new iPhone 7.

Since the 3GS launched in 2009, Apple has used an alternating “S” naming formula to mark years where the iPhone does not receive a major redesign, saving its numbered upgrades for years where design changes are introduced. Releases have been as follows:

2007 – iPhone
2008 – iPhone 3G
2009 – iPhone 3GS
2010 – iPhone 4 (new design)
2011 – iPhone 4s
2012 – iPhone 5 (new design)
2013 – iPhone 5s
2014 – iPhone 6 and iPhone 6 Plus (new design)
2015 – iPhone 6s and iPhone 6s Plus

The next-generation iPhone is expected to be called the iPhone 7 and since we are expecting Apple to continue offering two versions of the iPhone – with 5.5 and 4.7-inch displays – we will also see an iPhone 7 Plus.

Every rumor we’ve heard about the iPhone 7’s look suggests Apple is aiming to make the iPhone 7 up to 1mm thinner, removing the headphone jack would be one way to help achieve this, forcing music fans to use wireless Bluetooth headphones, or headphones that connect via the Lightning port, or an adaptor, but other rumors suggest the iPhone 7 and 7 Plus will have a body that is the same thickness as the iPhone 6s.

A redesigned home button was one of the most active topics in the early iPhone 7 prediction conversation. The iPhone 7 would have a “Force Touch” home button. So instead of a physical mechanism, Apple will use its ‘Force Touch’ technology and a motor inside the iPhone to provide the sensation that the button is being physically depressed, similar to the “Force Click” touch pad included on the latest model MacBooks.

Many sources are expecting a significant step up in quality with the iPhone 7’s camera. New evidence appears to suggest that both new iPhone 7 models will have optical image stabilization capabilities. But a steady stream of sources have reported that the dual camera would likely be included on the 5.5-inch-screen iPhone 7 Plus and/or Pro and probably not the standard 4.7-inch-screen iPhone 7. The dual cameras in the iPhone 7 Plus will reportedly use two sensors to capture separate photos with different color patterns, merging them together for one final photograph. Capturing two images at once and merging them is expected to result in brighter, more detailed photos and better zoom functionality.

It’s also going to have faster processor, as the new version is expected to run on a new A10 chip that could be 50 per cent faster than the current A9X, with 3GB of RAM and a 2.37GHZ processor. Numerous sources have suggested that the phone will have 3GB of RAM, where the current model has 2GB.

As battery life remains one of the biggest complaints that users have against the iPhone, the new version will have a 1735 mAh capacity battery and the iPhone 7 Plus a 2810 mAh one – up from 1715 mAh and 2750 mAh respectively.

We can expect that Apple will continue on its path of introducing more powerful, efficient devices with each design iteration. The iPhone 7 and iPhone 7 Plus are expected to include next-generation A10 processors manufactured by TSMC. Internal storage space is getting a boost, with entry-level devices expected to start at 32GB instead of 16GB, and up to 256GB of storage may be available.

What is more, a part leak suggests the iPhone 7 could include dual SIM trays to allow the device to send and receive calls and messages from multiple phone numbers. Dual SIM trays would also allow the iPhone 7 to work with multiple carriers at the same time, ideal for traveling.

Another possible advantage of the new iPhone may be full waterproofing. Instead of adding armour to the outside of the iPhone to protect it from water, the method would coat electronic components found inside the iPhone in a protective waterproof material that would prevent them from getting damaged should water find its way in. If waterproofing the internals of the iPhone 7 doesn’t sound impressive enough to you, the next rumour might. It was published that the iPhone 7 could be waterproof – but not by creating a watertight body, or even waterproofing the internals. Instead, the patent suggests that the iPhone could dry itself by pumping water (or any other liquid, for that matter) out of the device via its speaker grills. Pretty cool, eh?

Well, my review is coming to the end. I hope you have found this information useful.

What do you think about these new features? Please feel free to share your thoughts with us. Thank you in advance!

 

Kate Kviatkovskaya

Kate Kviatkovskaya

Business Development Manager

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altabel

Altabel Group

Professional Software Development

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