Mobile App Development Progress in 2018

In initial days of mobiles especially smartphones, the first firms or enterprise was an informational app in public app’s store and it is designed for customer. As these companies have also evolved to Develop Apps that automate, streamline or re-invent client’s facing and employee’s centric business methods. Now companies with increasing demand from business for apps, you can see emergence of development tools which authorize the developer. It also enables the business to move further with new targets or initiatives.

The pace of chance is insistent and mobile is seen like less of standalone app’s project. Also it’s integral to digital imitative which spans the IOT (Internet of things), data analytics, and business project management and augmented. Some new areas are also gains attention. We consider its growth in 20017 to 2018 is artificial intelligence and ambient intelligence.

Mobile’s Growth & getting smarter(Mobile App Development)

When it continues to be main focus for company, there is an interest in AI (Artificial Intelligence) with personal digital assistants (Google, Alexa, COrtana and Siri) and artificial intelligence (AI). This new tech craze is driven through leading companies such as FaceBook, Amazon and Google. AI by definition is exhibited by machine to show them as rational agents which makes decision by perceiving their surroundings. This agent would be computer which simulates human communication. It is now a reality based technological advancement in big data, natural language processing, sensors and cloud together in form of storm.

Now, a term ambient intelligence is also momentum. Ambient intelligence is born to service that improves our lives and digital inter-connectedness to produce information. It is also enabled by combination of different platforms. The big data, cloud, deep learning and neural network with GPUs (Graphic processing units) can produce AI (artificial intelligence). For example, AI can reply and learn from our behaviors by combination of mobile devices and advances sensors which translates our actions (facial images, location, temperature etc.). For example, AI can build smart system which replies the presence of people and environment lighting and switch heating accordingly. 

In 2017, you’ll see apps of chatbots and hype especially in client facing scenarios where chart provide us user interface. These personal digital assistance and so called bots plays an important role for development of apps in user friendly way however they can provide us utility because we can continue this technology. However AM & AI are also hot topic which continues to consume mindshare in business of 2017. It is also targeted at client facing apps is now yet to come. This path is used to follow mobile apps where basic experimentation is used with simple integration and basic features

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It can converts to more complex apps which can integrates with sources and also extend employee workflows and internal business. Some challenges we have to face through AI that can be mirror of mobile- adoption, performance, usage, security and data management. This change can demand greater speed of development that is supported by technologies which is based on native app development, agile, user centric processes, micro-services architecture and new technologies that are ised to support agility.x