According to a study by Transparency Market Research (TMR), the global market for artificial intelligence is estimated to gain an impressive 36.1% CAGR between 2016 and 2024, increasing by the end of 2024 from $126.14 billion in 2015 to $3,061.35 billion.
Artificial Intelligence (AI) was just a buzzword a few years back until the IT industry market players started levering the full potential of this technology. Be it Google, IBM, Facebook or any other IT industry mammoth, all of them are putting AI in front of everything.
Several firms and startups are now highly favoring the adoption of AI as well as Machine Learning (ML) and Natural Language Processing (NLP) to optimize their performances and functionalities. Instead of seeing them as expenses, several firms are recognizing them as investments that would only help in the longer run.
A research by Price Water house Cooper revealed that artificial intelligence would be a fundamental technology in the future. Most industries would adopt the AI Business Strategy as their main fulcrum. If one doesn’t realize, the trend has already began where there are a few industries right now which have already been influenced by these and are depended on them heavily for advancement and implementation.
In this article, let’s have a look at the ways IT industry is getting transformed by implementing the AI Business Strategy.
Artificial Intelligence uses a series of algorithms that can be applied directly to aid programmers when it comes to writing better code and overcoming software bugs. AI has been developed to offer suggestions for coding purposes that enhance efficiency, increase productivity, and offer clean, bug-free code for developers. By judging the structure of the code, AI can offer useful suggestions that can improve the productivity and help to cut downtime during the production stage.
The benefit of automation is that almost every piece of work can be done without human intervention. Through the use of Machine learning and deep learning applications, several firms can go a long way in automating backend processes, that help enable cost savings and reduce human intervention. AI Business Strategy enabled methods enriches over time as the algorithms adjust to enhance productivity and learn from mistakes.
Deployment control entails various stages during software development, which means that the software versioning control is a beneficial and vital role during the deployment stage. Since Artificial Intelligence is all about predicting issues, it can be a useful and integral tool in predicting problems during the versioning stage that can be overcome, without any hiccups; this also helps overcome issues as they arise, and developers don’t have to wait until the last stage to enhance the application’s performance.
Quality assurance is all about ensuring the right tools that are used in the software development cycle. Simply put, by using AI and Machine learning methodologies, developers can use AI tools to fix bugs and issues within the applications, and adjust them automatically during development cycles.
Tools like “Bugspots” can be used effectively to enable all software bugs are eliminated, and all possible gaps are plugged, without human intervention. Natural Language Processing power chatbots and intelligent virtual assistants to communicate with users this also enhances the overall quality.
Building Secure Systems
Data security is of the utmost essential when it comes to securing confidential data. Government firms, as well as private organizations, store tons of customer, strategic, and other forms of data that requires to be secured at all times.
Through the use of algorithms, Artificial Intelligence can offer the necessary security and help to create a layered security system which enables a high-security layer within these systems. Through the use of advanced algorithms, AI helps identify potential threats and data breaches that also offer the necessary provisions and solutions to avoid such loopholes.
Usually the hosting server is bombarded with millions of requests on a day to day basis. The server, in turn, is required to open web pages that are being requested by the users. Due to the continuous inflow of requests, servers can often become unresponsive and end up slowing down in the long run.
AI, as a service, can help optimize the host server to enhance customer service as well as to improve the operations. As IT needs progress, AI Business Strategy will be increasingly used to integrate IT staffing demands and provide seamless integration of the current business functions with technological functions.