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AOS Data publishes innovation open data on data commerce DataMart.jp ~Improve productivity in the innovation field with Data to AI(R) work technique~

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AOS Data Co., Ltd. press release (2024.11.12) AOS Data Co., Ltd. AOS Data publishes innovation open data on data commerce DataMart.jp ~Improve productivity in the innovation field with Data to AI(R) work technique~ 11/19 AI-MIS(TM)×AI/DX Forum ~ Marketing Achieving departmental DX with best of breed ~ AOS Data Co., Ltd., a company that utilizes corporate data and AI
(Headquarters: Minato-ku, Tokyo, President and CEO: Takahito Sasaki, hereinafter referred to as AOS Data Inc.) helps researchers, policy makers, companies, and citizens involved in the field of innovation work on strengthening their competitiveness and creating new value through a variety of data such as market trends, technology trends, patent information, and investment data. , an important innovation that contributes to supporting data-driven approaches to solving problems Open data is an AI learning data commerce platform
“DataMart.jp” ( https://datamart.jp/

) We would like to inform you that it has been published.
https://prcdn.freetls.fastly.net/release_image/40956/460/40956-460-f6d4fa0529db05e961f0506170fe901c-872×585.png ■Rise of innovation data The use of open data in the field of innovation is playing an increasingly important role in modern society. Data is not just a collection of information, but a means of creating new value and promoting sustainable growth and solving social issues. Here, we will explain in detail the reasons why open data is attracting attention in the field of innovation from the perspectives of the progress of digitalization, social needs, and strengthening competitiveness. We look at how these factors are expanding the possibilities for using data and influencing the strategies of businesses and public institutions. Many factors are influencing the importance of open data in the field of innovation, including the development of the digital economy, improving competitiveness, and promoting sustainable growth. The main background is described below. 1. Development of digitalization and data-driven economy – Data is a new resource: In today’s increasingly digitalized society, data is considered an extremely valuable resource, sometimes referred to as the “oil of the 21st century.” Open data in the field of innovation facilitates the development of new products and services, accelerates decision-making, and is an important element for companies and research institutions to build competitive advantage. – Improving data analysis technology: With the advancement of AI and big data analysis technology, data that was difficult to find value in the past may yield new knowledge. As open data is increasingly provided, it has become easier to analyze and predict data based on diverse data sets, creating a foundation for businesses and governments to innovate through the use of data. 2. Contributing to solving social issues – Achieving the SDGs: The power of innovation is essential to achieving the United Nations SDGs (Sustainable Development Goals), which aim to realize a sustainable society. In particular, technological innovation using open data is considered one of the solutions to global issues such as climate change and resource depletion. By making environmental data, energy consumption data, etc. publicly available, companies and research institutions will be able to use the data to drive
sustainable innovation. – Improving healthcare and welfare: The availability of health and welfare data is driving innovation to provide better medical services and improve public welfare. For example, there are an increasing number of cases in which AI is contributing to improving diagnostic accuracy and streamlining drug development by utilizing open medical data. 3. Strengthening economic growth and competitiveness – Formation of a startup ecosystem: Open data in the field of innovation is also an important resource for startups. By opening market data, consumer trends, competitive environment data, etc., startups will be able to develop products and build business models that capture market needs. Many countries and cities are promoting openness of data as part of their support for startups, accelerating innovation. – Support for digital
transformation of small and medium-sized enterprises: Open data such as economic data, technology trends, and patent information is useful for small and medium-sized enterprises to realize innovation. This makes it easier for companies with limited budgets and resources to formulate strategies that utilize the latest technology and market information, leading to improved competitiveness. 4. Improving public transparency and citizen trust – Citizen participation in
policy-making: Open data is an important tool for governments to make information available to citizens and ensure transparency. By disclosing innovation policies and technology development support measures as data, citizens will be able to more easily confirm government policies and progress, improving their trust in policies. Also, citizens can express their opinions on policies based on data. Opportunities to make suggestions will increase and democratic policymaking will be encouraged. – Citizen-participatory innovation: By publishing open data, citizens and communities can voluntarily utilize data to propose and implement unique solutions to local issues. For example, by making traffic data open, citizen
participatory innovations are progressing, with residents proposing measures to alleviate local traffic congestion. 5. Promoting global cooperation and standardization – International competitiveness and a common data base: In the midst of global innovation competition, it is important to share data across countries and regions and build an open data base that can be referenced mutually. Through collaborative projects between international organizations and multiple countries, standardized data formats and common API specifications are being developed, allowing companies and research institutions in each country to utilize data more efficiently. – Knowledge and technology sharing: Open data in the field of innovation is accelerating the sharing of knowledge and technology in academia and industry, creating collaborations and collaborations across sectors. In the context of international research projects and the trend of open science, open data is the foundation for global collaboration and innovation. Image
URL: https://prcdn.freetls.fastly.net/release_image/40956/460/40956-460-73c83867759ac1b03ef09a6d89e32cc1-712×530.png The importance of open data in the field of innovation is increasing due to a variety of factors. As technology advances, the value of open data will continue to increase, and data-based solutions to social issues and economic development are expected. ■What is innovation data? Open data in the field of innovation is an important foundation for businesses, research institutions, governments, and even citizens to utilize data to create new value. In addition to patent data and R&D data, data is provided in a wide range of fields such as human resources, market analysis, and the environment, which also
contributes to sustainable growth and solving social issues. Here, we will introduce open data used in the innovation field and explain how each type of data is useful for promoting innovation. 1. Patent data – Number of applications and yearly increase/decrease – Number of patents registered in each technical field – Patent applicant information (company, research institution, individual, etc.) – Regional distribution of patents (by country and city) – Patent protection period and expiration date 2. Research and development (R&D) data – Research project progress and deliverables – Amount invested in research and development by governments and companies – Research themes and objectives by field – Status of international cooperation in research (joint research countries and institutions) – Publication status of research results and number of published papers 3. Technology trend data – Growth rate and future forecast of technology in each field – Development status and commercialization progress of new technologies – Technology lifecycle progress (maturity, TRL) – Number of research papers by technical field – Technology share and technology diffusion status by country and company 4. Startup data – Founding year and growth rate of startups – Distribution of startups by industry – Amount of startup funding and progress of investment rounds – Main technologies and products of the startup – Concentration of startup activity by region 5. Investment data – Trends in investment amount and investment status by field – Investor profiles and investment partnerships – Status of each investment round (Series A, B, etc.) – Return on investment (ROI) and risk assessment – Investment trends by country and region 6. Market analysis data – Market size trends and forecast data – Survey of consumer trends and purchase motives – Product/service share and competitive situation – Demand forecast and market needs by region – Release information of new products and services of competitors 7. Human resources data – Job information by field and human resource demand and supply situation – Demand and trends in technical skills – Career paths and backgrounds of researchers and engineers – Wage data for new graduates and experienced workers – Percentage of women and diverse human resources in specific fields 8. Educational data – Educational programs and curriculum by field – Online course availability and number of participants – Acquisition data of technical certifications and qualifications – Research results and number of researchers at educational institutions – Status of company in-house training and reskilling 9. Intellectual property data – Number and categories of intellectual property registrations (trademarks, patents, copyrights) – Protection period and renewal status of intellectual property rights – Intellectual property-related litigation data in each country – Record of transfer and licensing of intellectual property rights – Concentration of intellectual property related to specific technology 10. Policy and regulatory data – Types and outline of government innovation support policies – Regulations and legal guidelines in each field – History and impact assessment of policy changes – Government funding programs and budget distribution status – Technical regulations such as environmental regulations and energy regulations 11. Environmental data – Energy consumption and CO2 emissions data – Recycling rate and waste treatment status – Introduction status and diffusion rate of environmental technology – Water quality and soil conservation data – Certification data for green buildings and eco products 12. International cooperation data – International collaborative research projects and participating countries – Track record and status of global technology transfer – Research bases of multinational companies and inflow and outflow of technology – Status of cooperation agreements and memoranda between countries – Number and content of technical partnerships abroad 13. Innovation indicator data – Innovation ranking by country and region – Technology maturity assessment (TRL) for each field – Return on investment (ROI) and economic impact of innovation – Innovation index based on number of patents and research results – Social impact evaluation indicators (SDGs contribution, etc.) 14. Subsidy/subsidy data – Status of provision of subsidies and subsidies by field – Technical field and scale of support – Data on the number of grant applications and acceptance rates – Details of subsidy amount and usage – Analysis of the effect of subsidies on companies and researchers 15. Community/Event Data – Data on holding technical conferences and exhibitions – Workshop and seminar participant information – Status of hackathons and pitch contests – Innovation Forum theme and participating companies – Number and content of projects by local communities 16. Citizen participation data – Number and content of innovation ideas proposed by citizens – Achievements in citizen participation projects – Citizens’ opinions and reactions to innovation measures – Number of participants in the data utilization idea contest – Types and frequency of open data used by citizens Image
URL: https://prcdn.freetls.fastly.net/release_image/40956/460/40956-460-58ff69b4da629117ede7677fa9cdc820-871×516.png In this way, open data in the field of innovation is provided in a wide variety of areas and is the basis for creating new knowledge and value from various aspects such as research, policy, corporate activities, and citizen participation. ■From sharing and utilizing data to promoting DX where it is bought and sold as an asset AOS Data has the catchphrase “Data to AI(R)” and is developing a data one-stop service for AI & data-driven management in the AI/DX era.
Specifically, “aipapyrus.com” is a platform that digitizes paper and other analog information, “idx.jp” is a platform that safely shares and accumulates data within companies, and “data119” is a data recovery center that recovers lost data. We operate and provide one-stop solutions for managing the entire data lifecycle, including AI data processing center (data annotation service) “aidata.jp” for utilizing data. I’m doing it. “DataMart.jp” is a data trading marketplace between companies that is positioned next to the data lifecycle of data conversion, data sharing and storage, and data utilization, and promotes DX where corporate data is bought and sold as an asset. .
https://prcdn.freetls.fastly.net/release_image/40956/460/40956-460-24562726bb75e02355cadf1a46985c04-688×373.png ■Award-winning technology that supports AI learning data commerce “DataMart.jp” “DataMart.jp” is AOS Group’s legal tech technology that won the Minister of Economy, Trade and Industry Award, the cloud backup technology of “AOSBOX” that won the ITreview Grid Award for 13 consecutive years, won the ITreview Customer Voice Leaders award in November 2020, and the BCN AWARD. By combining the data management technology that won the highest award in the system maintenance software category for 15 consecutive years and the VDR technology of group company Legal Tech, which won the Minister of Economy, Trade and Industry Award, we create a secure data exchange, sharing, and storage system. It was developed as a solution to support the intelligent DX solution “IDX”. ■Recruiting innovation data providers In recent years, the field of innovation has been undergoing rapid changes, and the demand for innovation data is rapidly increasing, especially due to the development of digital technology and intensifying global market competition. Data-driven decision-making and strategic approaches are key for companies and research institutions to remain competitive and achieve sustainable growth. DataMart.jp aims to build a new data ecosystem that responds to this era of change, and is widely recruiting data providers who can provide high-quality innovation data. We hope to partner with you to create new value through data and build the future of the innovation field together. AOS Data will be holding the following forum, so please come and join us if it’s convenient for you. ■“AI-MIS(TM) Management Information Forum x AI/DX Forum Marketing” event overview (1) Date and time: Tuesday, November 19, 2024, 13:30-16:10 (Reception starts at 13:15) (2) Venue: Nikkei Hall & Conference Room
https://www.nikkei-hall.com/access/
   6F Nikkei Building, 1-3-7 Otemachi, Chiyoda-ku, Tokyo *The event will be held online and in a hybrid format. (3) Click here for details:
https://www.idx.jp/mis/forum5/ [About AOS Data Co., Ltd.] Name: AOS Data Co., Ltd. Representative: Takahito Sasaki Established: April 2015 Location: 4F Metro City Kamiyacho Building, 5-1-5 Toranomon, Minato-ku, Tokyo Capital: 100 million yen (capital reserve 1,525 million yen)   URL: https://www.aosdata.co.jp/ AOS Data continues to protect intellectual property using data management technology, and has been operating a cloud data business that stores the data of over 8,000 companies and over 900,000 domestic members in the cloud. We have achieved numerous results in the data recovery business, where we have recovered lost data for over 10,000 customers, and in the system data business, where we have supported data migration for over 13 million customers. We provide data asset management services tailored to the data lifecycle, including data migration, data backup, data recovery, and data erasure, and have been ranked number one in sales for 15 consecutive years in the system maintenance software category of the BCN Awards. A group company that received the Minister of Economy, Trade and Industry Award for its technology that supported investigation agencies, law firms, and major companies in resolving numerous cases through forensic investigation of evidence data and e-discovery services for evidence discovery. By integrating Legal Tech’s legal data business, we will further support customers in comprehensively protecting and utilizing their data assets through “data asset management” solutions that include data compliance, AI and DX data. We will contribute to society. In addition, we will promote the appointment and training of young members of the Ministry of Defense, and support the early retirement system, which was created with the aim of contributing to the Ministry of Defense’s securing and training of excellent human resources, and will ensure that engineers’ careers with cutting-edge technology are put to good use. We will contribute to Japanese society through industry-government
collaboration.

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