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Rampant technological innovations in the areas of cloud, big data, machine learning, and artificial intelligence (AI) tend to provide the impetus for enterprises to innovate their legacy business models and lead the market. However, to enjoy the fruits of innovation, businesses have their work cut out for them. Many companies have little expertise in leveraging container technologies in the cloud for robust IT performance. Moreover, they lack a clear roadmap to achieve high returns on their data analytics and cloud investments. Developers, in addition, are finding it difficult to build secure AI-based applications due to the lack of understanding of guidelines and policies, especially in regulatory-intensive industries such as healthcare and finance. Consequently, firms feel they are forced to choose between innovation and security. They want their IT to perform seamlessly across multiple environments (on-premise, virtualization, containers, and cloud), minus the operational complexities associated with such hybrid infrastructure.
The company guides clients on having their RHEL install base running on the platform of their choice, be it IBM Power Systems or other compute platforms, based on their requirements.
During the interactions, Converge spends significant time understanding their business requirements and how they carry out operations. Organizations that follow manual and archaic ways of managing operations can benefit from able solutions delivered by a firm with a history of success, like the Converge family of companies. Converge helps modernize applications and workloads using AI and machine learning and deploys those solutions to the cloud. Additionally, the company aids clients in attaining insights internally for growing the business. “These solutions put our clients a cut above their competition in terms of business functionality and customer service provided to their customers,” says Luftig.
