How Software Development Companies can Benefit with AI
The advent of Artificial Intelligence (AI) and Machine Learning (ML), has brought a massive change in the way people did business. We no longer live in an era where these are considered as mere subjects for academic research. The whole world is riding the AI wave and the one getting the most out of it are the software development companies. Since they are already paving the way in the digital arena, these companies have a lot to gain from AI services and AI solutions. It not only increases productivity as a whole but also helps to serve the customers better. When brought together, AI and Machine Learning can positively impact the software development life cycle and thus simplify the work for software development companies.
Enhanced IT Infrastructure
One can reboot their entire IT infrastructure through automation and augmentation. AI and ML provide you with advanced management and monitoring tools to make that happen. This can give a good boost to your workflow and productivity. With infrastructure templates that are ready for configuration, you can get the support for more fast-paced deployments. Not only that you can scale up in respect of the variety and volume of the software deployments as well. AI allows one to implement different tools for data input etc that are a perfect fit for the job at hand.
AI can help one create a fully automated scaling solution that will increase the flexibility of its cloud platform. There are monitoring tools that can take out utilization metrics for live instances by using APIs. Besides that, you can also make use of incident management tools to activate alerts and escalation points. This is just the tip of the iceberg when it comes to the variety of tools that AI and ML have to offer you during the software development period.
Track Customer Behavior
If you know what your customers want it will help you serve them better and in a more precise manner. Machine Learning helps you track customer behavior by extracting and analyzing relevant data. Video streaming platform Netflix is the pioneer in using machine learning algorithms to manage customer experience. They have successfully implemented AI and ML to recommend personalized video content to the viewers. Besides that Netflix tracks customer viewing patterns and analyzes it to create specific content for viewers and subscribers. No wonder they are the market leaders in the streaming genre.
Apart from Netflix, Amazon has automated their picking and packing process in the warehouses with the help of Kiva. This helped them in saving a lot of time and effort and provide the customers with well-timed deliveries.
Having a conversational model that runs on self-service operations minimizes human interference at every level. This allows the professionals to focus more on the strategic part and less on the operations.
The Thing About Automation
The main aim of automation is to minimize human interference. For that you need stability, or else it is of no use. If you need human interference each time there was a new scenario then that would require changes in the script, incurring heavy cost on the company.
So basically, without proper support from the tech team or infrastructure to run and operate automation, implementation of AI becomes more of a hassle.
However, there are companies like HashCash Consultants that provide effective and efficient AI services and AI solutions to the ones in need of it. It can help software development companies to utilize their services at affordable costs. You get to enjoy the benefits of AI and Machine Learning without having to invest in building an entire infrastructure for automation. So, to conclude it is essential for software development companies to implement AI and Machine Learning for a smoother workflow and better customer service. However, in case you are not financially equipped to get it done on your own, you can get AI solutions and services from third party providers at affordable costs.
How Software Companies can Benefit with AI was originally published in Data Driven Investor on Medium, where people are continuing the conversation by highlighting and responding to this story.