Micro Information Technology (CEO Dong-wook Ahn) is embarking on a two-track strategy this yr. The principal focus is ▲development of the multi-modal data platform (MDP) 'smartbiG' and ▲advancement of 'CRaaS (Clinical Research as a Service)', an integrated solution for optimizing hospital systems and clinical research.

Micro Information Technology was established in 2006 and has been constructing data capabilities for 17 years. By extracting key information from data held by the corporate, providing insights and utilization plans, the corporate has expanded its business in various fields, including big data, artificial intelligence (AI), healthcare, and metaverse.

CEO Ahn Dong-wook emphasized that “we must first understand the essence of information.” “It’s true that digital transformation and digital documentation have made great progress each domestically and internationally, but most of them remain at the gathering stage,” he said.

The reason is that although there may be an emphasis on data, the truth is that it doesn’t advance to the stage of utilization and just stays in a state of accumulation. The quantity of information equivalent to bank card payment information is big. Even in hospitals, various forms of data equivalent to handwritten records, patient vital information,

Representative Ahn said, “That is why I felt the necessity for MDP.” “To be able to integrate and utilize every type of structured and unstructured data equivalent to text, photos, and videos, it’s mandatory to reduce data pre-classification and labeling work in addition to the flexibility of artificial intelligence (AI) models to ‘immediately understand’.” Here's the reason.

It’s in the identical context that multimodal language models (LMMs) are gaining prominence over large-scale language models (LLMs). If you happen to can have a look at a picture, describe it in language, after which draw it back as a picture, you may significantly reduce the info learning time.

So, he said, “Constructing MDP is the duty of ‘making AI more human-like’ in that it sees with the eyes, understands with language, and builds a fancy pondering system like a human.” He added, “MDP is a term and phenomenon that appeared for the primary time in Korea.”

Areas where LMM is anticipated to be effective include space (aviation), hospitals (medical care), and finance. Micro Information Technology goals for an 'end-to-end' data solution and has introduced a lineup of solutions suited to every purpose. Amongst them, medical data stood out by far.

In December last yr, we accomplished the primary development of CRaaS, an integrated clinical research support solution that supports your entire process, including medical data utilization, clinical research efficiency, and data quality optimization.

CRaaS includes ▲'Smart CDW', a predictive framework solution liable for analyzing and visualizing unstructured medical data ▲'Smart TA' and 'Mediscan', a hospital readout service specialized in unstructured document data classification and natural language processing ▲PACS data de-identification and metadata extraction Solution 'Smart Blur' ▲ Indicator visualization solution 'Smart KPI' ▲ Data deliberation solution 'Smart DRB' ▲ Scenario-based clinical research data search and extraction solution 'Smart CDRS' ▲ Data safety zone and open lab ▲ Provides CDW-based auto-completion function We also provide a case record sheet called ‘Smart CRF’.

Right now, the reason is that if the multi-modal data platform Smart Big is applied, security issues may be solved through Data Fabric, an information integration technology.

Smart Big is a medical alliance platform that gives deep learning model learning, development, distribution, and inference with one click. Now, the plan is to expand right into a ‘universal platform’ and process big data in various fields. It supports a personal cloud environment useful for small and medium-sized organizations in addition to a virtual storage environment.

He emphasized that the optimal platform that reflects 'specialized domain knowledge' may be built through data processing experience in various fields. For instance, within the aerospace field, satellite images and Web of Things (IoT) data may be collected and used to detect various errors, failures, and abnormalities.

CEO Ahn said, “I need to enter the financial sector in earnest in the longer term.” It is because by interpreting financial data, customized and personalized consulting may be realized. This can also be true in medicine. AI-based customized diagnosis becomes possible.

As well as, we’re developing ▲Data Quality Management (DQM) ▲Identity ALC Access Management (IAM) ▲Dynamic Consent ▲Patient Assessment Results (PRO) ▲Transfer of non-public information to 3rd parties and distribution hub (Health Data Hub), etc. .

The explanation why micro-information technology was in a position to quickly access LMM is due to its technological prowess. Since its establishment, it has been step by step advancing into the worldwide market through data visualization and utilization, full-scale healthcare business, expansion of the unstructured text evaluation market, and completion of the large data solution lineup.

Specifically, he said it was necessary to expand from a unified solution to a platform. The reason is that it shouldn’t be an answer that requires customization, but acts as a ‘function’ that operates throughout the company environment. Through this, the best strength was that anyone could use it conveniently by lowering the barriers for users, from small businesses that had difficulty managing data to large-scale corporations and institutions.

Meanwhile, Micro Information Technology is pursuing the ‘Misso Fly Up’ strategy and goals to attain sales of 100 billion won by 2025.

In the longer term, we plan to strengthen the prompt engineering field and invest heavily in hiring excellent talent and developing AI to advance 'interactive interface (UI) and services'. We’re also making large-scale investments in hardware (HCI), cloud, MLOps, and data security.

Ahead of this yr's relocation of the headquarters' recent headquarters (Gwacheon Knowledge Industrial Complex) and the completion of the Daejeon branch's Healthcare R&D Center and recent headquarters (Daejeon International Science Business Belt), where the healthcare business headquarters is situated, internal solidarity and communication culture might be strengthened. We plan to share AI and data technology and exchange technology between headquarters through the community meeting 'Smile' of developers (SW/AI), which accounts for 89% of all members.

As well as, it was announced that the '2024 Smile Solution Day', where 17 years of healthcare, data technology, innovation cases, and various business models may be seen without delay, might be held in the primary half of the yr.

Dong-wook Ahn, CEO of Micro Information Technology, said, “The multimodal data platform is a core technology that eliminates data uncertainty and envisions a brighter future. Through this, we are going to do our greatest to strengthen the competitiveness of the healthcare industry and double sales.”

Reporter Jang Se-min semim99@aitimes.com