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Data Science: Redefining Web Development
The constant overlapping of internet and data science in today’s world has brought forth some significant changes to web development. With the introduction of artificial intelligence, web development is greatly simplified. Starting from the design phase to incorporating findings into apps, AI coupled with data science can flawlessly analyze patterns in large amounts of data.
This enables AI-powered apps to turn the bulk of user-generated data into actionable insights, saving time and costs for the company. Data science can also assist in personalizing an app according to the user’s preference by fine-tuning the process of data analysis. This provides users with a superlative experience, changing their perspective of the electronic devices.
The arrival of new generation smart-phones and their built-in AI capabilities has paved way for AI-powered apps to set a new direction for app development and the next trend in the consumerist world. The cookies stored in the browsers and the data provided by the users in their web sessions will be the primary source for the web app developers to launch upgrades and enhancements. With speed, functionality and reliability still being a necessity, incorporating a user’s data to feel the functionality of apps can further boost the app development process.
The developer no longer has to decide what goes where in the app menu. Web development directs the app upgrades with the help of data science, allowing users to express their desires or demands with the application directly via online forums and social media. The development teams can then collect the streams of data and satisfy the users in the next upgrade.
With the current advancements, the demand for coders has lessened, inducing fear in web app developers of losing their jobs. That isn’t the case. Programmers and coders will be in demand higher than ever, but with an upgraded skill set and expertise in data science and data analysis.
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