Businesses across industries want specialized software developers and vendors that understand their domain. This approach provides them with better quality and efficiency.
They also prefer outsourcing companies that follow Agile and DevOps development methodologies. This allows them to meet their dynamic business needs and ensure faster product delivery.
AI and ML
AI is being deployed to automate processes, improve user experience, and enable better data analysis. To implement these technologies, enterprises are seeking AI and ML programmers. Outsourcing can help companies hire these experts quickly and save money in the long run.
Choosing an agency with a robust quality delivery framework is crucial for successful AI projects. Outsourcing firms typically have a portfolio of prior work that can be examined for relevance to the project at hand.
A leading cable TV company, Sky, leveraged ML and NLP to monitor calls in their contact center and glean customer insights. This process boosted efficiency by allowing them to reduce their operational costs by 80%. Additionally, they were able to meet their customers’ satisfaction perceptions by delivering accurate and personalized answers. AI also helps with strategic decision-making by identifying patterns and trends in large datasets. This can be used to prioritize features, predict customer behavior, and develop marketing campaigns.
Robotic Process Automation
Robotic process automation is one of the fastest-growing software segments and can significantly boost business operations by digitally empowering crucial processes with resilience and scalability. However, it can be time-consuming and expensive to find in-house teams with the right mix of technical skills and development experience.
Outsourcing these tasks to a specialist firm like Gigster can help companies avoid the risks of compromising application security. Moreover, the geographically agnostic nature of RPA opens up opportunities for outsourcing to countries where the political or regulatory environment might not allow offshoring.
For example, universities can use RPA tools to automate admissions and other administrative processes and free up their staff to focus on more complex activities. Students can be enrolled in their courses without the need for manual emails or paperwork and academic reports can be automatically generated to make it easier for schools to close accounts at year-end. RPA can also help ease financial reconciliation by comparing invoices, bills, and bank statements.
Cloud-Native Software Development
Software development outsourcing is a huge industry, and it’s growing even more. Companies are looking for software developers and vendors that specialize in specific domains, and they want to work with partners that can help them deliver the best results.
One of the biggest trends in software development outsourcing is cloud-native software development. This approach allows companies to update and deploy their applications more easily, and it can help them achieve unprecedented agility and scalability.
Another trend in software development outsourcing is microservice architectures, which allow companies to develop more complex apps by deploying them as a collection of smaller, independent services. This can reduce the number of bugs in an app and make it easier to troubleshoot issues software development outsourcing. It can also help improve security by limiting the scope of data that an attacker has access to. In addition, microservices can be built more quickly than traditional monolithic applications. This can help businesses save money by reducing the amount of time and resources they need to devote to an application.
As the pace of business continues to accelerate, it is vital that companies consider the impact on their cybersecurity. Cyberattacks are increasingly common and can have devastating consequences.
The best way to mitigate these risks is by ensuring that companies work with a reputable outsourcing partner that has a strong track record in delivering security-first projects. This means setting clear communication channels and implementing project management software to facilitate transparency, accountability, and collaboration.
It is also critical to ensure that the security of sensitive data throughout the software development lifecycle is managed correctly. This can be achieved by using a combination of symmetric and asymmetric encryption. It is important to classify data according to its level of sensitivity and then ensure that only the necessary team members have access to it. In addition, it is imperative to use a secure cloud infrastructure and implement best practices in secure coding. Finally, a comprehensive risk assessment should be conducted prior to selecting a vendor for software development outsourcing.