As artificial intelligence (AI) technology digs into on a regular basis life, a brand new challenge has emerged. It’s a harmonious integration of the overflowing AI models.
Recently, Deep Chic’s low -cost and high -efficiency AI development cases have caused crustal changes within the AI market. In that it has achieved similar performance to $ 5.6 million, which is one -tenth of the initial development cost of ‘Chat GPT’, the corporate has proved that it cannot lead AI technology alone.
AI innovation didn’t stop here. There are numerous AIs from enterprise levels to day by day work, and models specialized in each field equivalent to medical, law, and finance are also introducing them one after one other. As well as, the world of AI is expanding day-to-day because the multimodal function that handles text, image, voice, and video without delay is added.
But this rapid development has made recent homework for corporations. I’m frightened about when and the right way to use any of the various AIs. It is not any longer a single AI to fulfill the complex requirements of the corporate.
The universal AI model was confirmed that the work accuracy was only half the extent in comparison with the system that mixes various AI models since it doesn’t understand the specialized terms and regulations by industry. In today’s business environment, which requires real -time decision -making and rapid response, collaboration between various AIs is crucial, and corporations are facing the duty of securing each cost efficiency and system stability on this integration process.
■ AI orchestration, AI model integration solution
On this background, ‘AI Orchestration’ is attracting attention as a brand new alternative. The AI Orchestration is a technology that effectively integrates and coordinates various AI models, just because the orchestra conductor harmonizes several instruments. The important thing point is to pick and mix AIs with different characteristics and strengths.
The AI Orchestration offers three key features. First, real -time model selection and shift. The day by day query is robotically deployed with high-performance models equivalent to ‘GPT-4’ for skilled evaluation, and the flexible operation in keeping with traffic is feasible. Second, automated resource management uses computing resources efficiently and robotically expands or reduces in keeping with demand. Third, integrated monitoring can manage the status of multiple AI in real time and automatic recovery or backup may be converted in case of problems. These benefits greatly increase the steadiness and efficiency of the AI system, resulting in reducing the operating costs and improving the standard of service.
■ Global Big Tech and Korean corporations’ AI orchestration competition
Global corporations are dominating the AI orchestration market with their strengths. AWS has built the ‘AI Market Place’ that may freely select and mix models of varied AI corporations equivalent to Antropic and Staffic AI through the bed rock platform. Microsoft has introduced GPT-4-oriented integrated solutions based on an exclusive partnership with Open AI, and Google provides multimotedal services on its vertex AI platform based by itself farm and Geminai.
The domestic market can also be fierce. Naver is targeting the market with hybrid strategies that mix hyperclopa X with a central vertical integration, and Kakao combines its own and external models.
On this market situation, Vessle AI is using a customized orchestration strategy by industry based on ML Ops expertise to supply differentiated solutions. Specifically, for financial sectors and manufacturers where security is very important, it provides a versatile platform that encompasses the on -premises and the cloud environment, and has achieved practical results with industry -specific solutions.
■ Performance of AI Orchestration proven as a specialized solution for every industry
Within the mobility industry, it was labeled by manual and rear camera video every week, and it took two to 3 months to reflect the brand new road situation within the model. The bezle platform was introduced to determine GPU cluster automation and pipelines, in order that each time the labeling data got here in, the model was enrolled and distributed. Because of this, the model update cycle has been shortened by several days and unnecessary redundancy has been reduced, leading to simultaneous team efficiency and accuracy.
Within the insurance industry, the corporate has reduced the response time by 30% by establishing AI chatbots that handle complex insurance data by searching augmented (RAG) method to address various customer inquiries received 24 hours, and maintained consistency of counseling quality by updating real -time updates and improved service interworking by 20%.
In the sphere of research/consulting, we’ve built an AI pipeline that efficiently analyzes market research data. The intelligent search and automatic summary function reduced the project data survey time by greater than 50%, and the automated learning pipeline immediately reflected the most recent insights to greatly improve client response and satisfaction.
■ Conclusion
Gartner predicts that 75%of all corporations will introduce the AI orchestration system by 2026. This shows that it’s a vital element for survival of corporate survival.
The AI orchestration can be a brand new paradigm beyond only a trend. The flexibility to effectively coordinate various AI models can be a core competitiveness, and corporations with integrated operation know -how will lead the market. Ultimately, it is anticipated that more progressive AI utilization can be spread, because it is the important thing to realizing the true business value of AI beyond easy efficiency.
Ahn Jae -man, CEO of Vessel AI
