Artificial Intelligence is changing Mobile App Development

Mobile app development is revolutionizing our lives turning impossible into reality. What’s next on this fascinating journey of mobile development. Artificial Intelligence (AI) seems to be unanimous choice of industry analysts.

Artificial Intelligence

Artificial intelligence (AI) is rapidly becoming one of the most popular topics in both business and science and more leading tech companies are showing interest in AI investment. Google’s $400 million acquisition of DeepMind is a prime example of mainstream AI application. 

AI has not suddenly appeared in the application development scene. It has become noticeable to users in the form of Apple’s Siri. So According to Gartner’s Top 10 Strategic Technology Trends for 2017, “Intelligent Apps” is one of the top trends to watch out for 2017. Technologies like virtual personal assistants (VPAs) can make everyday tasks easier such as prioritizing emails and highlighting important content and interactions. Gartner also estimates that 6 billion connected “things” such as connected appliances, cars, wearables, and smart devices will be needing support from AI platforms by 2018.

Artificial Intelligence making different categories

But Artificial Intelligence is virtually making its way into different categories such as security tooling and enterprise applications. By 2018, most of the world’s largest 200 companies will exploit intelligent apps and utilize the full toolkit of big data and analytics tools to refine their offers and improve customer experience.

Gartner predicts that intelligent apps were one of the top ten strategic trends for 2017, more than just digital assistants that make it easy to complete common tasks such as prioritizing emails. Instead, every aspect of enterprise mobile apps will accommodate AI. In fact, Gartner anticipates 200 of the world’s largest companies will develop intelligent apps within the next year.

Mobile AI Will Transform Businesses

With the advancements in AI, mobile app developers today spend a lot more time thinking about how to collect, sort and store the data that their applications gather so they can feed it into the machine learning algorithm compared to the standard static algorithm that does not change.

Increase in Personalization

AI technologies are beginning to take hold in a variety of industries. eBay, Amazon and other giants in the retail industry have already proved the success of AI mobile apps. Many devices and applications will be written with algorithms that adapt and adjust based on observed behavior. Businesses can leverage the data collecting via point-of-sale machines, online traffic, mobile devices, and more. The algorithms will shift through this data collected, finding trends and adjusting apps to create richer contextual and personalized experiences.

Benefits of Using Artificial Intelligence

Mobile AI entices Retail Consumers

For retail market, AI technology is creating new frontiers redefining the potential of mobile apps enabled with artificial intelligence. Major retailers are integrating AI algorithms into their brands to serve and retain more customers.

Business apps will harvest the wealth of consumer information from POS, online traffic, mobile devices, etc. The algorithms within these apps will process and adjust its data to learn about trends and encourage the apps to create more contextual marketing messages and notifications. Hence Such rich, meaningful engagement technique will connect more users to the brand.

Predictive Intelligence Means Higher Revenue

It is not the first time that customers receive several types of notification related to products, offers, and various discounts periodically. Predictive AI algorithms observe customer’s history to determine their purchase tendencies and suggest custom options. Thus, predictive pattern-reading AI helps inspires more shopping and keeps businesses making more revenue.

AI Technology Generates Loyalty

Just like predictive intelligence, AI also empowers pattern detecting abilities. Such intelligence can be integrated into many Finance Apps. Where users constantly rely on their credit or debit cards for frequent banking and e-commerce transactions.

Understanding the patterns of card usage from previous transactions. These intelligent apps inform users about any instances of unusual or suspicious payment attempt. Hence this very assistance keeps customers using these apps and increases their loyalty to service providers.


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