1. Deliver Better Internet-Based Experiences To Indian Audiences:

The market of applications defines itself from the choices of segregated audience patterns and while many applications perform globally on different scales, several applications have managed to scratch enterprise levels from the Indian consumer demographic. TikTok can be an example which in many cases surpassed even PUBG and Fornite as one of the top engrossing applications. While all of this as of yet was limited to consumers with handheld devices, with the JIO Giga Fiber factor India shall witness a growth in its broadband consumer growth which shall be recipients of other potential commodities like streaming media, game streaming, AR, VR, music streaming, smart homes, IoT etc.

2. Giant IoT Platform Control Them All:

With all these implementations into action, Reliance definitely understands the impact of upcoming technology and estimates a $2.8 billion revenue opportunity. Reliance aims to provide IoT facilities to the estimated 2 billion devices that could be interconnected. Placed all under one roof, this shall help facilitate devices really uniformly and more importantly shall be a part of the Artificial Intelligence and Machine Learning movement which almost any enterprise shall be looking to adopt. This shall help all enterprise owners manage their performance analytics brilliantly and customer support systems shall be more automated.

3. Cloud Implementations:

“Jio and Microsoft will partner to launch new cloud data centres in India, ensuring more of Jio’s customers can access the tools and platforms they need to build their own digital capability,” Nadella added.

It could be intriguing considering the role of Amazon in the world of cloud technologies, but Microsoft could have its own plans and reasons behind this. Own digital capabilities, in this case, might refer to reduced server costs and cloud infrastructure that shall encourage more enterprises and businesses in the IT sector. Russia’s face app scandal brought to our notice about its server infrastructure situated in the US, and data centers created in India might eliminate excessive reliance on foreign services for hosting their data. And more importantly, they get ownership of it as well.

4. Reliance Could Might Become The Biggest Data Cultivators:

With its IoT plan for the 2 billion devices and subsequent cloud infrastructure are the ingredients of the perfect AI and ML revolution that India is about to witness. Data cultivation is of great importance in today’s date and ensuring proper means of ownership can help fetch a great market value from other ML and AI startups from all across the globe and there shall be various clients surrounding it.

5. Great Time For Investors to Harness Indian IT Pool:

With such provisions now shall be a great time for foreign investors and application enthusiasts to outsource development tasks to Indian developers as the low development costs of developers and fancy provisions shall help you execute the initial implementations of your AI and ML aspirations at the best ratio of cost to quality. This shall assist almost any industry vertical and investors belonging to any domain.

Being one of the top mobile app development company, BrainMobi takes into close consideration the action of bigger players and its impact on the technology market. We aim to resolve every complexity and deliver every crucial intel that could bring you closer to your application development goals.

If the above plans excite you then feel free to write to us at sales@brainmobi.com and let our consultants come to your rescue.

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Last year Augmented Reality has emerged as a star of technologies with PokemonGo, one of the most downloaded games in the history of Appstore. Wearable technology has also caught fire with the release of new headsets by tech giants like Samsung, Google, Facebook pushing the limits of user experience with Virtual Reality technology. With the release of other wearable gears, both AR and VR are already been discussed as the next frontiers for mobile. Apple, Samsung and a countless number of Asia-based companies have been exploring new horizon with some successful discoveries. AI, Chatbots, and Messaging Apps are also posing as a new form of user interaction with some upgraded features.

To understand how the coming time could offer an evolution to the existing mobile app ecosystem, we have consulted many top mobile app developers to wit more on Growth of Mobile App Development in 2017:

Prominence of Internet of Things

Services of IoT apps are more critical as compared to mobile apps from any other category. With this aspect, IoT based mobile apps will be in dominance in 2017. So far the acceptance ratio and revenue generated both have been on the rise and the trend is expected to stretch at a faster pace. Many sectors including automobile, infrastructure, education, security, and healthcare industries are seeking ways to integrate IoT for business success. No doubt that the implication of IoT across mobile apps will be a great move in 2017 and onwards.

VR and AR Enabled Chats

It won’t be wrong to say that as soon as we hear these two concepts the first thing which flashes across our mind is the Pokemon craze that has got everyone crazy in 2017. Seeking the same kind of acceptance, many talented entrepreneurs have dish out their ideas to make people overcome the phenomenon of Pokemon and respond to their app similar to ever popular Pokemon. Be it chat or game, both VR and AR will definitely transform the way we interact with software systems and with each other.

High Demand for Big data apps

Developers are more likely to concentrate on building big data mobile apps that are a perfect balance of user-friendly interfaces and reliability, improved functionality. It won’t be wrong to say that soon mobile app will be a combination of IoT, cloud connectivity, and big data processing features.

Growth in GPS based apps

Use of GPS is going to see a new hike after the popularity of Pokemon. The trend set by the most well-known gaming apps has definitely made business owners and talented entrepreneurs rely on the technology to attain similar kind of success. There has already been an increase in the demand for such apps in the market. And it’s no surprise that such apps are accepted with open arms in several industries right from automation to IoT. Augmented reality will also be beneficial to 3D game developers to augment the engagement levels of their software.

Advance Hybrid technologies

With more upgraded features, tools like Ionic, AngularJS, PhoneGap, and Cordova seem to offer more inclination toward Hybrid app development. The instant increase in the acceptance level of hybrid tools is due to BYOD i.e. bring your own device practice across enterprises around the globe. It has been predicted that demand for mobile enterprise apps will be about 5 times higher than the combined supply capacity of developers. How the developers are going to tackle this challenge remains to be seen.

This list is endless as every day there is another more important contribution toward evolving the mobile app ecosystem to some degree. Feel free to add your recommendations to the list. the most liked comment will get a chance to have a session with our top mobile app developers who could help you frame a clear picture of how powerful mobile is going to become.

For development related queries, write to us.

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More Verticals
While it is already present in a lot of industry verticals, there is an ever-growing demand for making things more connected in almost every sector of the economy. This is where IoT comes in. Being based on interconnectivity of devices, it is highly effective in bringing together various devices. In this half of the year, we can see it expanding to more sectors, and in various fields in the existing sectors. There’s a lot more to be automated in houses than just lights and fans and those working on IoT know it and work hard to let it encompass as much area as possible.

More Data
This one was kind of obvious. There would certainly be a lot more data generated as more and more verticals are exposed to the awesomeness IoT possesses. The point to be noticed here is that the increase in data would lead to a lot of new insight that can be brought to us only with the help of data mining. That’s right, the Big Data industry would see a huge boost. The second half of 2017 would certainly see a great need for more work to be done on the data obtained from all of these devices.

More Marketplaces
Every vendor builds devices to be sold to the customers. Without a proper marketplace, it would be difficult to reach out to the customers. IoT marketplaces until now have been mostly electronic stores with a few IoT ready products on the showcase. In the latter half of the year, we might be able to see more IoT-centric marketplaces which would be the home of innovation. This is something I am really looking forward to because innovation moves me like nothing else does, and IoT brings a lot of innovation to the table.

More Learning
By learning, I mean machine learning. Machine learning has been here for a while as an integral part of artificial intelligence. IoT takes machine learning to a new level with unprecedented options of growth. With the help of the huge amount of data generated by IoT devices, the results of machine learning grow more precise since now there is more data to refine the results. Better analytics can also be done with the help of this advancement. Machine learning is bound to grow in the latter half of 2017.

So, there you have it. Or do you? Obviously, there are a lot of other fields that internet of things would come to in 2017. And that is what makes it important. But these were a few that I felt were absolutely necessary for this year.

BrainMobi is a leading IoT app development company. We have a team of technology enthusiasts which make revolutionary IoT apps. Connect with us at sales@brainmobi.com to get your IoT app built by innovative mobility experts who understand your ideas and give them the perfect wings.

Let us know why you find Internet of Things important in the comments below!

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Big Data is a term widely used to describe very large data sets which have a size which is so large that it can’t be handled using the common software tools prevalent in the market used to handle data. This data may be generated by social networks, banking, and financial services, e-commerce services, web-related services, internet search indices, scientific and document searches, medical records, web logs etc. Every app that you use generates a large amount of data which big companies use to find trends in the data or even to extract useful information from the data.

Big Data is associated with three Vs defining properties and dimensions:

Volume: This is the factor Big Data is most known for. Since we’re dealing with a lot of data, the volume is very large, almost incomprehensible. Facebook stores roughly 250 billion images. It has more users than China’s population and the number just keeps on increasing. Considering this factor, we can imagine how much data is generated by every single user. Much of that data is very valuable for companies. Let’s say, Facebook decides to add a new option for posting status updates. For doing so, Facebook would have to go through a large volume of data to find whether the users would like the new update or not. Based on this understanding, Facebook would decide whether it should go ahead and bring in the new option or not. And this is just one such example, m-commerce companies use information about the purchases to decide which what time of the year would be good for giving additional discounts which would lead to a lot of sales. The amount of data stored is insanely large, and with every passing second, a number of data increases.

Velocity: 250 billion images is a huge amount of data, isn’t it? But imagine the amount of increase in the data considering that Facebook users upload more than 900 million photos every day. This brings us to velocity. Velocity is the measure of the rate of increase of data. To handle this insanely huge amount of data, we would certainly need more responsive means of handling data.

Variety: Data comes in all shapes and sizes. From photographs to sensor data to tweets and encrypted data packets, data is everywhere, and in a surplus. The data is different from each other. Since there is so much variation in the types of the data, we can’t store data in the old rows and columns representation.

Additionally, we could consider the value to be a factor defining Big Data. It is important to choose which data is valuable and which data isn’t since a lot of resources are spent in handling the data. Data here is haphazard and needs special software to be handled properly.

In the next post, we would dig deeper into the world of Big Data with the tools that we use to handle these gigantic piles of data. Stay tuned until then. Do let us know your thoughts on our post in the comments below.

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