How AI Based Mobile App Development Will Involve in 2018?

by Guest Author on January 20, 2018

in Guest Posts

Artificial intelligence, now as the 2017’s trendsetter, will set the benchmark in 2018. The latest Gartner’s report reveals that, for the world’s biggest 200 companies, by 2018 will all in all use intelligent apps and leverage big data analytics to reinvent their user experience strategies.

Currently, the market is whelmed with plenty of Intelligent apps, like, personal assistants, chatbots, and several more. A diverse range of AI-based mobile app development will unfold by 2018.
Indeed, 2018 is the year of personalized user experience. Businesses that deliver better stay precedingly in the competition. The blog post below features the essential things that a business should communicate to a mobile application development company.

Businesses have cited IT partners to incorporate AI into every development!
With the use of AI competition is getting aggressive, and no business in this era wants to stay back. Not just the user need to be delivered the customized experience, the employees too! The top brands have commenced asserting the terms of AI-based application in most of the sections to wipe out the hard work and use the human brain where it should be!

In the case of Forbes, it has Quill – a fantastic AI-based software. Quill accepts the structured data and obtains the meaningful structure and outputs a sound rich content. Similar to what a writer does. Moreover, it is well-abled to eliminate the irrelevant content.

Businesses for their growth and development have started implementing the smart apps, for which a few things need to be considered –

Data Lake
A data lake system should be robust and fast in indexing and cataloging. The data security, metadata management, data governance etc. features based on AI or machine learning are the most vital necessities of a robust mobile app development. The whole ecosystem should be equipped with active and constant data access, management and delivery.

Data as a service
Data as a service-enabled application must include seamless data discovery. Furthermore, each aspect of data provisioning, monitoring or even the tracking has to be in a remarkably quickened mode not slow-paced.

Analytics as a Service
Enterprise Analytics should incorporate the supportive traits like embeddable analytics and integrated broader aspects of hugely scaled enterprise functionalities. for the decisive and intelligent moves for the company, this service should be absolutely planned and executed.

Application development
A creative mobile app development should be furnished with prevailing cloud technologies such as Microsoft Azure, DevOps, etc. During the development process, each technique or framework must be in an updated arrangement to following the future scopes. Whatever be the platform, web or mobile, iOT devices, it should run perfectly.

Conclusion
2018 is the year of personalized experience. Businesses need to consider an intelligent mobile app development for the Data lake, DaaS, AaaS, and research-oriented implementation. To reap a variety of advantages of having AI based apps, plan it in a way that it works smoothly till 2025!

Guest article written by: Jessica Barnes is a Digital Marketing Strategist. A tech Blogger with over 6+ yrs. of global experience in IT industry. At present, She is associated with ViitorCloud Technologies.

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{ 1 comment… read it below or add one }

Jenny wilson February 13, 2018 at 16:19

“AI could also prove to be a great asset for gathering user insights and make suggestions for improvements when analyzing feedback. This could in return become a self-correcting and self-enhancing feature which many app developers and investors would preferably like to consider when deploying apps for the masses.

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