June 12, 2023
AI inside Launches “AnyData,” a Multimodal AI Integration Platform, Supported by “InsideX,” an AI Implementation Consulting Team
Provides Assistance for the Issue Discovery Phase
Tokyo, June 12, 2023 – AI inside Inc., which promotes the democratization of AI by providing AI infrastructure, has announced the launch of “AnyData,” a multimodal AI integration platform including all the data, learning, and operating foundations demanded for AI development and implementation. This enables high value-added AI implementation that contributes to solving business issues, with the customers only required to prepare the data.
“Inside X,” established along with “AnyData,” is an AI implementation consulting team for upper management that has brought together professionals with a deep understanding of AI technology and its commercialization. The team provides comprehensive support utilizing “AnyData,” generative AI, and LLM to realize essential DX and data-driven management- from discovering potential business issues that benefit management activities, assessment, conceptualization, and requirement definition of AI technologies, to actual AI operations.
Background of Launch
In social activities of all kinds, data of various types and formats, such as documents, images, videos, audio, and numerical data, are exchanged and accumulated daily. While many companies and organizations are focusing on the DX to innovate their businesses through this data, the reality is that many of them have only improved operational efficiency in specific departments; essential DX is demanded to solve social issues through company-wide optimization and new business creation. Although companies have launched and promoted internal AI projects to achieve this, the actual implementations of AI have not been realized due to the lack of progress from the PoC (Proof of Concept) phase, in which verification is conducted to determine whether AI can be applied in workplaces.
For the successful implementation and continuous operation of AI that contributes to company-wide optimization and new business creation, it is necessary to construct systems that centrally manage the data that has been dispersed through the diversity of IT tools and make advanced decisions with understanding and organization of increasingly complex internal and external business environments. It is not easy for many upper management and decision-makers to build a system to realize essential DX and plan and execute AI implementation, as it requires specialized knowledge and experience in AI.
About “AnyData”
AI inside has launched “AnyData,” a multimodal AI integration platform. “AnyData” includes all the basic functionalities required for the development and implementation of AI; the “data foundation” that centralizes the management of structured and unstructured data and generates data marts*1, the “learning foundation” for data preprocessing and developing and evaluating of new AI models, and the “operation foundation” that enables high-quality and secure AI operations including performance monitoring and data governance. By making each foundation work together, AI can be maintained in real-time after the implementation, which allows proper management of AI lifecycles*2 and AI operations with continuous improvements.
We will initiate a high-value-added AI solution that helps our customers solve their business problems by utilizing the combination of AI inside technologies and the multimodal processing of data in various formats, such as numerical, image, and text.
The “AnyData” users do not have to have advanced knowledge or skill in AI and IT. All they need to do is prepare the data, which enables them to implement AI into their business, focusing on their primary functions, such as business growth or solving societal issues.
It is noted that the “learning foundation” is an integrated version of the “Learning Center,” a no-code AI development and operation tool that AI inside has provided to date. It will continue to be provided as a functionality of “AnyData.”
For inquiries on “AnyData”: https://any-data.inside.ai/contact/ (Japanese only)
*1 A database that extracts and aggregates only the necessary data from the data recorded and stored in an information system according to usage and purpose and stores the data in a readily usable format.
*2 A series of processes such as data collection, model creation, model training, deployment, and evaluation that are requisite to keep the implemented AI operating at a high quality.
Future Development
AI inside plans to mass-produce and sell generic AI solutions that can be immediately implemented in businesses regardless of the company’s size by developing AI models in collaboration with partner companies utilizing the “learning foundation” of “AnyData.”
We are also working on R&D of “Autonomous AI,” which autonomously interconnects each foundation included in “AnyData” to automatically generate new AI models that contribute to solving customers’ business issues. We will realize this disruptive innovation to create a future society where everyone can benefit from AI without being aware.
About “InsideX”
“InsideX” is an AI implementation consulting team for upper management that supports the realization of essential DX and data-driven management, including company-wide optimization and new business creation, rather than just improving operational efficiency in specific departments. In an increasingly complex business environment, our team of professionals with in-depth knowledge of AI technology and its commercialization will provide a comprehensive service leveraging generative AI and LLM, including “AnyData” and our originally developed Japanese LLM service “PolySphere-1”*3; from the discovery of potential business issues that contribute to the customer’s management activities to the assessment, conception, requirement definition of AI technology, and the actual operation of AI to achieve AI-driven business transformation.
For inquiries on “InsideX”: https://inside.ai/contact/insidex/ (Japanese only)
Kurando Takahashi, Principal of “InsideX,” commented;
AI has been considered as an indispensable technology for the accomplishment of DX even before the recent popularity of generative AI and LLM, and therefore has been introduced mainly in the front-line departments of companies. While they have seen success in AI solving issues in the workplace, we believe there are still many upper management and decision-makers who have been struggling with their AI projects for solving business problems with repeating PoC not leading to results. With the utilization of the knowledge and experience we have accumulated in implementing AI for companies and organizations in various industries, as well as “AnyData” and “PolySphere-1,” we will support not only individually optimized AI applications such as demand forecasting and failure detection but also offer assistance for true business transformation to realize the vision of each client by working together with their management. We will help accomplish DX with company-wide optimization for both the frontline and management.
“InsideX” Member Biographies
Kurando Takahashi
Project Associate Professor (Visiting), Tohoku University Data-Driven Science and AI Education and Research Center. Worked for a foreign consulting firm providing various consulting services related to company-risk management, including internal audits of operational and financial processes for multiple industries such as financial institutions, healthcare companies, and general trading companies. Joined aiforce solutions Inc. as Director and COO after working as Director and General Manager of the Corporate Planning Division of a business company, and achieved AI implementation that contributes to business mainly in manufacturing, distribution, retail, and other industries, including major consumer electronics manufacturers. Started working at AI inside in May 2022 due to an absorption merger. Has trained a total of more than 10,000 business personnel in AI and also supports DX internalization.
Article for reference: https://note.inside.ai/n/nd13086e75f2f (Japanese only)
Tomoaki Nishikawa
Project Associate Professor (Visiting), Tohoku University Data-Driven Science and AI Education and Research Center. Worked for PwC Consulting LLC and an AI startup, mainly in Japan and Southeast Asia, providing AI business consulting, big data analysis services, and conceptualization and planning of business models utilizing advanced technologies for the finance, manufacturing, and agriculture industries. Later engaged in establishing big data business divisions and AI business at business companies. Established aiforce solutions Inc. as CEO and has achieved AI implementations that benefit businesses in a wide range of industries, including general trading companies, pharmaceuticals, and financial institutions. Joined AI inside in May 2022 as a result of an absorption merger. U.S. Certified Public Accountant (Washington State).
Kunie Endo
Joined Fujitsu as a new graduate and experienced various new business divisions based on data utilization technology. Involved in big data and AI since 2010 and is engaged in new service planning, evangelist activities, and implementation consulting. Joined AI inside in July 2022 after working for RPA Technologies, Inc. and IBM Japan, Ltd. Currently, as a DX consultant, providing support for DX promotion in all aspects, such as supporting DX projects and participating in service planning for customer companies.
Article for reference: https://note.inside.ai/n/n69acd375477c (Japanese only)
About AI inside Inc.
AI inside is a tech company that conducts R&D and social implementation of cutting-edge technologies, such as generative AI, LLM, and autonomous AI. We provide multimodal AI solutions and professional services that facilitate data-driven business transformation to a wide range of government agencies, local governments, and private companies. We will create a prosperous society where we can all benefit from AI without being aware of it by leveraging our unique AI integration platform to promote business use of AI to provide comprehensive support for DX in all types of companies and organizations.
Company Name: AI inside Inc.
Location: 4th Floor, 3-8-12 Shibuya Shibuya-Ku, Tokyo, Japan
Representative: Representative Director, President & CEO Taku Toguchi
Founded: August 2015
Business details: Development and provision of artificial intelligence and related information services
Website: https://inside.ai/en/
*The service names appearing on this site are trademarks or registered trademarks of AI inside.
Contact for Press Inquiries
AI inside Inc.(https://inside.ai) Public Relations Unit
TEL: +81-3-5468-5041 E-mail:pr@inside.ai