Solving problems today involves a close collaboration of engagement, intelligence, and records systems. Multiexperience horizontal platforms like Outsystems, Mendix, and Microsoft PowerApps create seamless integrations between AI and intelligence in their LC application development strategies.
Mature LCNC platforms provide studios, enterprise connector pools, and continuous integration/ continuous delivery (CI/CD) deployment models. They increasingly focus on continuous testing (CT) by supporting for business-driven developmentbased test automation frameworks. They also come bundled with functional accelerators like self-service, case management, legacy modernization, business operations, and field service applications. They have experienced marketplace models that provide the flexibility to adopt solutions faster. Industry platforms for sales and service like Salesforce, SAP, Oracle, and Microsoft Dynamics have an insights-driven strategy embedded within the LC experience. For example, the AI-powered Infosys Enterprise Service Management Café is built on top of Infosys' ServiceNow platform and has over 65 industry recipe apps for clients.
The digital experience platform's LC strategies focus on omnichannel friendliness, standardized approaches, and connected experiences. Classic examples are digital commerce platforms like SAP Commerce, Magento, HCL Commerce, Salesforce Commerce Cloud, Shopify, and Infosys SKAAVA. These e-commerce providers embrace microservices-based headless approaches to provide maximum flexibility and agility with studio models and recommendation engines. Digital content management and marketing platforms (Adobe AEM and Sitecore) follow the same LC approach for rapid digitization, forms-based application development, and template-based brand portal development.
Enterprises need a well-defined playbook on the fitment of the strategy for the application lifecycle. They must establish stronger governance, operations, security, and monitoring mechanisms for scaled deployment, as well as a collaborative development model to ease community development.
An American multinational investment bank, in association with Infosys, enabled a multimedia conferencing asset management solution as a service powered by a platform model. The solution offers capabilities like real-time service management, intelligent preventive health check on resources, threat management, and JIT secured access token activation. This solution built on Infosys ServiceNow creates an experience for multiple B2C and B2E roles and integrates a wide variety of solutions.
Scale and agility are two core value propositions of any LCNC strategy. A rich studio environment enables to build applications faster and create a WYSIWYG experience.
AI-based co-development is a significant trend in multiexperience horizontal platforms. Examples of critical accelerations are in areas where the experience metadata and properties are auto-filled, development suggestions and recommendations are combined with integrated development environments, and alerts are created during development stages. We will soon see real-time semantic code analysis powered by AI and actionable recommendations, coding autocomplete models, AI-powered implementation review, and more. The direct benefit will be in multiapplication factory development models, where integration is needed for multiple backend systems.
Infosys delivered more than 12 reactive web and mobile apps in just four to five months for a Singaporean multinational telecommunications conglomerate. The company's time to market became five times faster and cost of development reduced by nearly three times.
A standardization-friendly approach that coexists with robotic pair programming models is essential for industry adoption. The critical patterns adopted by the platforms are:
Extending the LCNC-generated code with open standards enables better business adaptability and builds broader acceptance and confidence among communities.
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