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AI LIFECARE(Digital BioHealth)

Medical Big data
It is a national-level medical and bio-integrated big data including information on genomes, clinical, public health, and personal lifestyle, and is used for data-based personalized precision medical care, vaccine and treatment for infectious diseases.
Technical overview

Technology that intelligently finds hidden meanings from self-generated or vast amounts of data collected from outside

Atypical data proliferation and relationship analysis technology and data association-based search technology It is possible to build high-quality learning data for deep learning or service composition service intelligence and advancement through big data analysis

Necessity and importance

(Markets) The global big data market is expected to grow 13.5% annually to $189.6 billion in 2019, reaching $410.7 billion in 2025

(Policies) The government is fostering this technology field with K-ICT's top 10 strategic industries ('17), data industry revitalization strategies ('18), and ICT R&D technology roadmap 2025 ('20)

Applications

<  Data  computing  technology  applications  >

Areas Description
Medical

Personal health care, customized medical support

Manufacturing

Detection of abnormalities in parts, process efficiency, and product production efficiency

Financial

News trend analysis, industry risk analysis, commercial district analysis, marketing support

Safety

Preemptive response to disasters, self-driving safety analysis, and CCTV safety response

Technical overview

Computing technology that enables flexible sharing of computing resources such as servers, storage, applications, and services according to changes in user needs or demands In order to provide various application services such as artificial intelligence and IoT, large-scale, high-speed, distributed, and parallel processing is possible, and low-latency, low-power, and high-reliable environments are provided Multi/distributed cloud platforms utilize for DevOps, provisioning, service mesh, cloud application management, virtualization (virtual machines/containers, etc.), serverless, edge computing technologies

Necessity and importance

(Markets) The global edge computing market is expected to grow 26.5% annually from $2.8 billion in 2019 to $9 billion in 2024

(Policies) Establishing an institutional and policy foundation for fostering cloud industries and establishing related ecosystems, such as the enactment of the Cloud Computing Development and User Protection Act ('15) and the 2nd Basic Plan for Cloud Computing Development ('19~21)

Applications

<   Data  computing  technology  applications  >

Areas Description
Autonomous operation

Supports cloud orchestration that enables intelligent integrated configuration/operation of various cloud infrastructures such as distributed/multi/edge

AI computing

Cloud Edge-based Machine Learning&Support for Artificial Intelligence Services

Industrial sites

Support for edge server systems that can be variably expanded/reconstructed in harsh industrial sites

High-performance computing

Support for high-performance cloud technologies that enable high-speed and large-scale operations required by supercomputers, machine learning, and big data