By: Abhishek Agarwal, President, Judge India – Global Delivery, The Judge Group
The digital business needs IT systems and strategies that can handle a multi-channel digital globe that must obtain, analyze and interact with data from different systems and objects, wearables, Internet of Things (IoT), and Artificial Intelligence (AI).
Everyone understands the challenges organizations face with their legacy structures, but when it comes to meeting the emerging requirements of digital businesses, conventional techniques do not fulfill the criteria. Only about a third of technology in big companies is modernized enough. The necessity to suitably evaluate these non-modernized techniques and make them future-ready cannot be ignored anymore. Not modernizing IT systems will negatively affect the long-term growth of the organization and will have poor consequences playing havoc in a competitive environment.
Improved business productivity due to IT modernization is the best business prize on offer. IT modernization induces greater IT staff productivity and furthers IT cost reduction. On average, IT has the potential to increase annual revenue and business-operating expenses can profit out of this too. The IT department is at the heart of action confronting demands from all sides. Over the years, there has been a seamless integration of multiple departments, which have been driven by the IT systems. As the vast majority of organizations move onwards with their digital transformation journeys, having a single approach is not adequate.
Firstly, what is required is a dependable approach that optimizes core systems and prepares solid foundations to build upon. Secondly, an exploratory strategy needs to be embraced to expand the technology to innovate the business and push it forward. Technology is dynamic and constant upgrades are required to stay market-ready and adapt to the constant changes happening around.
The adoption of crucial modernized platforms and technologies through the cloud system is another core segment that needs to be addressed. It is essential to have an integrated cloud strategy aligned with the organization’s distinct business goals to effectively empower the IT modernization approach.
Many organizations’ custom applications continue running on-premises. Only a few have shifted to apps that run on Infrastructure-as-a-Service (IaaS) or Platform-as-a-Service (PaaS). Time and cost savings are key characteristics of PaaS as it liberates the IT division to assist, support, and innovate the business. The true quality of PaaS lies in driving a quickened application delivery time to the market with higher degrees of business innovation.
So, a hybrid approach is here to stay as organizations lack awareness of what IaaS or PaaS is. Suspicions about safety and operative risks are widely prevalent. Businesses, thus, gradually plan to execute vendor-provided cloud stacks (such as Microsoft Azure Stack) to combine their on-premises data center with the public cloud resulting in cloud vendors that aid hybrid integration.
Modern software engineering (MSE) is a paradigm for generating, strengthening, and operating applications with high skillfulness and systematic innovation. MSE is a pivotal way to handle emerging digital business requirements, and a wide variety of technology is in scope, both currently and schemed for the future.
MSE can cause improved overall performance in service categories. Reflecting on Return-on-Investment, IT modernization can help with rapidly deploying persistent innovation and offering improved cost savings alternatives. Further, advantages comprise of overall service delivery, innovation gains, and building cost efficiencies – all critical statements to further embrace MSE techniques for wider businesses and executing digital ambitions.
Process automation, a kind of modernized IT, pertains to the application of technology to configure computer software to grasp and interpret existing applications for processing a transaction, manipulating data, stimulating responses, and communicating with other digital systems and end-users.
Robotic process automation (RPA) is used to automate arduous and repetitive tasks and do away with the manual effort and the errors associated with manual work. Intelligent automation is the use of patterns and data from the past to perform actions or offer predictions to deliver the best future benefit. Cognitive automation is composed of self-learning systems that use pattern recognition, data mining and natural learning, and language processing to simulate the way a human brain works, and solve questions without human assistance.
Enhancing productivity and curtailing costs are the standout rationales to encourage organizations to use process automation. Furthermore, it can lead to progress in customer satisfaction and help to distinguish the business from competitors. IT modernization is not a business goal. Neither is it the only bedrock on which the progress of an organization depends. Regardless, if organizations do not modernize their IT systems, it will be quite challenging for them to deal with the emerging needs of the digital business trends and remain market-ready.
