Kingland Systems continues to innovate with the fourth generation of its enterprise software platform. The platform provides artificial intelligence (AI) focused on data management, extended enterprise data management capabilities, new analytics, and cloud optimised DevOps software to support high performance software strategies. It also accelerates specific solution delivery by avoiding extensive customisation, providing 60% to 80% of core capability on Day 1, and focussing remaining time and budget on unique client requirements.
The platform uses a microservices architecture of more than 40 components to create client specific and cloud optimised solutions, and consists of four elements covering cognitive computing, data analytics, enterprise data management, and an enterprise applications foundation that accelerates project implementation and provides cloud optimisation, scalability and automated testing and deployment. The fourth-generation platform updates all these elements.
Tony Brownlee, a partner at Kingland, explains: “The fourth-generation platform formalises our cognitive computing capability and reimagines how master data management needs to operate on a modern platform. The microservices architecture helps our clients build, maintain and upgrade solutions.” He adds: “The platform is not a product, but key capabilities and components that solve clients’ problems and deliver quick, agile systems that can be maintained over years to come.”
The AI element of the platform is cloud-based and uses application programming interfaces (APIs) and software-as-a-service (SaaS) delivery to integrate with legacy systems. Its focus is on data management, data collection, and business process automation, and it has been enhanced in response to client requests to unlock data in legacy documents.
Brownlee says: “Our AI engine is very fast. It can read a 300-page document and extract data in seconds. This helps users discover and maximise new data. Typically, the data covers customers, legal entities and individuals, noting their location, services they have received, how they are related to each other, and news about issues such as mergers and acquisitions or bankruptcy.”
The company is also experiencing growing demand for cloud-based machine learning, particularly for risk, credit risk, transaction processing, clearing and settlement, and compliance. Brownlee comments: “Clients want more machine learning and the ability to load diverse types of data. The goal is to deliver data faster than can be done internally at a lower cost.”
While Kingland continues to invest in its technology and deployments across a number of industries, Brownlee concludes: “The fourth generation is something to celebrate for us. It can solve some significant problems in the world.”
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