Intelligent Apps - Latest Trends and PredictionsNovember 21, 2016
As we move from the present world of smartphones and mobile devices to smarter and hyper-connected future, it’s becoming increasingly important to think beyond mobile — in terms of building applications — to deliver rich, adaptive, personalized experiences to users. In other words, we need to develop intelligent apps — apps that are not limited by device constraints.
By utilizing a process of machine learning to develop applications that assist users in making accurate predictions and choices based on the historical and real-time data of a user, intelligent apps promise to further enrich customer experiences by providing businesses the opportunities to adapt to their rapidly changing needs and ways of engaging with them.
We’ve all heard the numbers — Gartner predicts 21 billion “things” will be connected to the internet by 2020, all exchanging data 24x7. According to CSC, a global leader in next-gen IT services and solutions, we’ll be producing 44X more data by 2020 than we did in 2009.
Because of this, we will also see an increasing need for businesses to respond to events as they happen. Intelligent applications could be the suitable solution. Having said that, let’s discuss the trends, predictions, and the multiple layers of technology crucial to the creation of intelligent apps that are expected to generate various new opportunities in the business landscape.
Intelligent Applications Will Define User Experiences with Machine Learning Technology
At the application layer, there are basically two main segments- 1) Newly developed apps enabled with application intelligence and 2) Existing apps enhanced by application intelligence.
The existing killer apps from the past years, such as last generation applications like Google web search, Amazon e-commerce, Uber transport app, Facebook social and Netflix have over the years invested heavily in machine learning and user data which places them ahead in the race in delivering significant value to its users through improved application intelligence.
However, the real apps of the future are the new generation of applications enabled with application intelligence, which with their unique breed of high-performance quality, relevant insights, and advanced machine learning models are expected to create immediate openings for specialized industry-specific deployment at the application layer.
New Interfaces Are All Set to Remodel Applications into Cross-platform “Macro-Services”
Intelligent application interfaces project an incredibly promising transformation in the way humans interact with one another and with the outer world. The inherent interface layers of intelligent apps such as the “natural interface” of text, speech, and vision are unlocking significant categories like conversational commerce, augmented reality (AR), and virtual reality (VR).
In the coming years, new generation platforms like Facebook Messenger, Slack, Alexa, and VR stores will be more open source, benefitting developers with added features that will make their life a bit less complicated in designing unique intelligent apps with enhanced offerings to the end user.
Developing Blocks and Learning Services for Intelligent Apps
As organizations embrace the microservices development paradigm, the capability to plug-and-play complex machine learning models and services in achieving specific functionalities become increasingly impressive.
The two predominant categories at this layer are the enablers of raw machine intelligence on one hand, and the providers of “Models as a Service” on the other.
The first segment is comprised of companies that render the core building blocks for engineers to develop intelligent apps like algorithms and deployment processes, whereas the second, precisely the new-age startups, offer central services that empower businesses to plug and play pre-trained models for mission-specific assignments like image tagging, product recommendations or natural language processing.
Both the categories exhibit exceptional values in developing intelligent apps targeted to leverage high levels of experiences that exceed the expectations of an end user.
Hardware companies specialized in storing and handling large volumes of photos, information logs, videos, and IoT data will play a crucial role in supporting businesses keep up with the new influx of data produced by intelligent applications.
As is the case with most technologies, early adopters of intelligent applications will have a significant competitive advantage in building the most compelling experiences for their customers, and (hopefully) more profitable businesses.