Many Companies Struggle to Integrate AI into Operational Systems
With the increasing adoption of artificial intelligence (AI) in various sectors, many companies face real challenges in integrating AI solutions into their operational systems. Integration complexity, infrastructure limitations, time-consuming implementation processes, and the need for data security and sovereignty are major challenges in accelerating technology adoption.
Many companies have AI strategies. However, during implementation, they often face obstacles in integrating with existing systems, integrating with the AI ecosystem, infrastructure limitations, and lengthy procurement processes before solutions can be used operationally.
“Indonesia has a very strong foundation for AI innovation. However, in order to optimise its impact, a platform is needed that can integrate solutions, strengthen collaboration between ecosystem players, ensure data security, and accelerate measurable implementation. The AI marketspace acts as a catalyst and enables all of these processes to run more simply and efficiently,” said Head of Industry Solution at Lintasarta, Nurendrantoro, in an official statement on Thursday (25/2).
According to him, the AI marketspace model allows solutions to be integrated, implemented, and scaled within a standardised and secure ecosystem, so that the industry can reduce technical complexity while accelerating time-to-value. This approach is built on the foundation of Lintasarta’s 4C, namely Connectivity for system reliability, Cloud for infrastructure scalability, Cybersecurity for data security and compliance, and Collaboration for ecosystem orchestration.
As an implementation, Lintasarta AI Marketspace Universe (LAMPU) is present as a vehicle to manage various digital and AI solutions such as Software as a Service (SaaS), Compute Services, Application Programming Interface (API) Services, data services, cybersecurity, connectivity, to AI and analytics. Through this approach, the main focus remains on providing solutions that are relevant and have a real impact on the business needs of the industry. (Medcom/I-2)