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What is AI?

Artificial intelligence or AI is a broad-spectrum computer science branch involved with creating smart machines and software applications with the capability to perform tasks that traditionally required human intelligence. This interdisciplinary science uses a mix of technologies such as machine learning (ML), natural language processing (NLP), and deep learning, and approaches to augment the performance abilities of the tech industry. AI equips machines and software applications to learn from experience, adjust their performance as per new inputs, train themselves on the job, and perform human-like tasks.

How does AI Help in Custom Application Development?

1

User-Centric Experience

The prime role of AI in applications is to gather and process user-specific data and use it to augment the user experience. An example of this would be the recommendations you see on your Netflix account, complete with the percentage that a new show or movie matches your viewing interests. AI remembers and uses its memory to create an experience that places the user at its core.

2

Time-Effective Development Process

Deploying AI in the custom application development process helps speed up the process, allowing developers to build robust devices in smaller time frames and with greater efficiency.

3

Algorithms That Engage Users

Another key role of AI in applications is to use its algorithms to keep the users productively engaged. Businesses today are leveraging this aspect by integrating identical AI algorithms into a broad range of products for a more uniform, incentive-based, and well-rounded approach. This is made possible by leveraging inputs from various data points such as online traffic, mobile devices, and point-of-sale machines, and then strategically using these to offer a more comprehensive user experience.

4

Integrating Hardware Tech into Application Processes

Smartphones today come loaded with a range of advanced hardware technologies such as GPS, cameras, microphones, voice notes, and so on. AI facilitates the collection of data from these hardware features to make applications more personalized and relevant in their outcomes.