What is custom software?
Custom software is developed for a particular company to cover its critical functions or fill the gaps present in existing IT solutions. Customized software is generally designed for a single client, or a group of clients (customers) who decide what kind of functionality and processes the software should possess.
Artificial intelligence (AI) - Artificial intelligence has become one of the most lucrative options for effective custom software development. We have the resources and intelligence to deploy AI solutions that transform businesses and serve end-to-end purposes. With the help of AI we can made delivery by drones or something else, AI-powered products and solutions will become the norm. For instance, as Teradata reported, nearly 80% of enterprises invest in AI-enabled tools and technologies.
IoT (Internet of Things)- The prime example of innovation in IoT will be sensor-enabled pill bottles brought forth by Eli Lilly and Company bolstered the patient experience. A study conducted by Ericsson states that there will be nearly 22 billion internet-connected devices in the next 3-4 years.
Next-gen programming languages- It is also essential to note the rise of the coding language Rust in 2021. The reason why the language is gaining traction is mainly due to its potential adoption by Microsoft. Therefore, the language that first was considered a hobby among coding enthusiasts is becoming a major player.
Rise of native app tools- Native applications serve specific devices and often streamline the user experience in comparison to hybrid applications. Native tools can enhance the application’s performance, and businesses are aiming to employ the technology to derive the user experience. The advent of new challenges such as virtual learning, remote work, cloud computing, and more, custom solutions will shape these areas for a better experience.
Blockchain technology- The worries for data security and breaches are becoming more relevant today, blockchain offers a secure landscape to minimise distress. It can pave the way for forging processes that are ideal for upholding stringent safety standards where data exposure can be sensitive—for instance, the misuse of financial documents, identity theft, personal information, and more.
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