{"id":4076,"date":"2024-03-21T11:50:00","date_gmt":"2024-03-21T02:50:00","guid":{"rendered":"https:\/\/cinnamon.ai\/?post_type=news&p=4076"},"modified":"2024-03-21T14:14:26","modified_gmt":"2024-03-21T05:14:26","slug":"20240321-pr-kc-llm-ver","status":"publish","type":"news","link":"https:\/\/cinnamon.ai\/en\/news\/20240321-pr-kc-llm-ver\/","title":{"rendered":"Generation AI option now available in "Knowledge Collector" that allows you to easily collect knowledge from audio, images, and videos"},"content":{"rendered":"

AI automatically extracts necessary information from voice input report<\/strong>
Generated AI provides accurate advice on reports<\/strong><\/p>\n\n\n\n

Our company has added a large-scale language model (LLM) to further expand data utilization to our original AI product "Knowledge Collector" that allows you to easily collect knowledge using various data input methods such as audio, images, and videos. "Knowledge Collector Generation AI Option" will be released from early April.<\/p>\n\n\n\n

Cinnamon AI's "Knowledge Collector" is a knowledge collection tool that combines AI technologies such as AI voice recognition and AI-OCR, and was officially released in November 2023. Many companies have praised its usefulness for its excellent voice recognition accuracy in noisy environments and speedy and detailed knowledge sharing using images and videos.<\/p>\n\n\n\n

With the introduction of the generation AI option, further knowledge utilization will be realized, such as more efficient information organization and original suggestion functions.<\/p>\n\n\n\n

for example,<\/p>\n\n\n\n

\u30fbAI automatically extracts necessary information such as ``when'', ``where'', ``what did you do'', ``what happened'', and ``the cause'' from near-miss reports in manufacturing, construction, etc.<\/p>\n\n\n\n

\u30fbSummary and suggest "meeting purpose", "content", "issues", "next action", and "sales AI advice" from the daily business report<\/p>\n\n\n\n

It can be used for risk assessment in the manufacturing and construction industries, as well as for improving the efficiency of sales management.<\/p>\n\n\n\n

Image of \u201cKnowledge Collector generation AI option\u201d<\/strong><\/p>\n\n\n

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[Example of voice input for near miss]<\/strong><\/p>\n\n\n\n

On the morning of December 15th, while inspecting machinery on the production line at the Tokai factory, he touched a mechanical part without wearing gloves. As a result, I sustained minor injuries to the fingers of my left hand. This was due to not wearing gloves and not paying sufficient attention to the rotating parts of the machine during work. From now on, I will make sure to wear gloves and be more careful when operating machinery.<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n
<\/div>\n\n\n\n

[Example of near-miss information extraction]<\/strong><\/p>\n\n\n\n

when<\/td>Morning of December 15th<\/td><\/tr>
where<\/td>Tokai factory production line<\/td><\/tr>
when you did what<\/td>While inspecting the machine<\/td><\/tr>
What became<\/td>He suffered a slight injury to the fingers of his left hand.<\/td><\/tr>
cause<\/td>Failure to wear gloves and not paying sufficient attention to the rotating parts of the machine during work<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n
<\/div>\n\n\n\n

[Example of voice input for daily business report]<\/strong><\/p>\n\n\n\n

Today, I had an interview with Mr. Suzuki from Nihon Seizo Co., Ltd.'s Manufacturing Headquarters. They said they wanted a communication tool based on technology-related information, so we asked them about some of the challenges they faced. Because there are few points of contact between each factory line and the manufacturing headquarters, the on-site workers may not know when to consult with the headquarters, or what they should consult with, or where they should consult. They said that they had to work very hard and spend a lot of time investigating the matter on their own, putting a burden on the staff. This often results in people at the site losing their minds and the project disappearing. As the manufacturing headquarters, I often feel that I should have consulted with them sooner, and I think that what we know about projects that disappeared without being able to consult with the headquarters is just the tip of the iceberg, and that there are actually quite a lot of such cases. , Mr. Suzuki seems to be thinking.<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n
<\/div>\n\n\n\n

[Example of information extraction and generation AI advice from daily business report]<\/strong><\/p>\n\n\n\n

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participant<\/td>\u2013 Mr. Suzuki (Nippon Manufacturing Co., Ltd., Manufacturing Headquarters)<\/td><\/tr>
Purpose of the meeting<\/td>\u2013 Confirmation of requests for communication tools based on technology-related information<\/td><\/tr>
Meeting content<\/td>\u2013 Sharing of issues due to lack of contact between on-site and manufacturing headquarters<\/td><\/tr>
assignment<\/td>\u2013 Because there are few points of contact between each factory line and the manufacturing headquarters, it is difficult for the on-site staff to know when to consult, the content of the consultation, and who to consult with. \u2013 On-site staff have to investigate on their own, which is time-consuming and burdensome, leading to projects disappearing.<\/td><\/tr>
next action<\/td>\u2013 Consider specific measures to improve communication between the workplace and the manufacturing headquarters \u2013 Establish a system and person in charge that makes it easy for the workplace to consult \u2013 Introduce a reporting system to understand on-site issues and consultation details<\/td><\/tr>
AI advice<\/td>\u2013 Consider establishing a regular meeting and reporting system to facilitate communication between the workplace and manufacturing headquarters. \u2013 By creating an environment where it is easy to consult with the on-site staff, projects can be prevented from disappearing.<\/td><\/tr><\/tbody><\/table><\/figure>\n<\/div><\/div>\n\n\n\n
<\/div>\n\n\n\n

"Knowledge Collector" supports a wide range of input methods, including text input using voice recognition, automatic text extraction using AI-OCR from photographic images such as handwritten and printed letters, video evidence, and free text. It can be used with a web browser (no app installation required) from various PCs and smartphones, and it is equipped with a no-code report builder function that allows you to freely customize report templates, making it easy and speedy to implement in each department across the company. is possible.<\/p>\n\n\n\n

By converting the data accumulated by Knowledge Collector into structured data using AI, it can be used as new value that will give companies a competitive advantage, such as planning new services, passing on know-how, and improving planning. (The creation and utilization of structured data that is optimal for data utilization will be handled by individual development.)<\/p>\n\n\n\n

<\/div>\n\n\n\n

\u25a0Looking for partners for \u201cKnowledge Collector\u201d<\/strong><\/p>\n\n\n\n

Cinnamon AI is looking for OEM partners, system integration partners, and sales partners for "Knowledge Collector."<\/p>\n\n\n\n

OEM partners can integrate Knowledge Collector into their product lineup to provide high-quality AI capabilities to their customers. System integration partners help customers streamline their business processes by enabling seamless system integration. In addition, by collaborating with sales partners, we develop marketing strategies and sales promotion activities tailored to the characteristics of the region and industry to reach the market.<\/p>\n\n\n\n

We are committed to providing valuable solutions to our customers through various partnerships. If you are interested in becoming a partner, please contact us.<\/p>\n\n\n\n

<\/div>\n\n\n\n

\u25a0Development background: Utilize AI to minimize the burden of knowledge collection and maximize its utilization<\/strong><\/p>\n\n\n\n

The knowledge accumulated by Japanese companies, many of which have been around for 100 years, is vast. On the other hand, the efficient inheritance and utilization of knowledge can be said to be an urgent task for many companies due to factors such as aging of workers, declining population, and delays in introducing DX. In addition, knowledge accumulation and reporting methods often vary depending on job type, department, and team, and technology and know-how become individualized, making it difficult to absorb valuable knowledge. Furthermore, as a barrier to companies collecting knowledge, the act of "writing and reporting" itself, whether by handwriting or typing on a keyboard, is a burden on the person in charge, and because of this, there are cases in which knowledge cannot be collected effectively.<\/p>\n\n\n\n

In order to solve these issues, Cinnamon AI has developed "Knowledge Collector" that allows users to easily input information using various methods. Recording voice "on the spot" when memories are vivid can not only improve the quantity and quality of information, but also reduce the input burden compared to normal text input. In addition, the introduction of AI products will eliminate paper records, which are often seen in labor-intensive industries, and will lead to paperlessness and digitization.
<\/p>\n\n\n\n

\u25a0 Introduction image of \u201cKnowledge Collector\u201d by industry<\/strong><\/p>\n\n\n\n

Since you can easily and freely create templates using the no-code report builder, you can implement them in each department throughout your company.<\/p>\n\n\n\n

[Insurance\/Finance\/Pharmaceuticals]<\/strong>
Daily business report \/ Adjuster business report \/ Information sharing<\/p>\n\n\n\n

[Manufacturing industry]<\/strong>
Trouble report \/ Inspection record \/ Daily work report \/ Near miss report \/ Daily awareness
Maintenance patrol records \/ submission \/ manual creation \/ research records \/ sensory evaluation<\/p>\n\n\n\n

[Logistics industry]<\/strong>
Business report\/transfer\/manual creation\/near miss report<\/p>\n\n\n\n

[Maintenance business]<\/strong>
Maintenance work record<\/p>\n\n\n\n

[Retail]<\/strong>
Customer opinions\/daily business report
<\/p>\n\n\n\n

\u25a0 Examples of knowledge utilization using \u201cKnowledge Collector\u201d<\/strong><\/p>\n\n\n\n

New service planning \/ Succession of know-how \/ Detection of human error \/ Unification of judgment criteria \/ Early detection \/ Productivity improvement \/
Sophistication of planning \/ Reduction of burden \/ Sharing of information \/ Improving communication \/ Eliminating human resource shortages through task shifting, correcting long working hours, improving the quality of work \/ Risk assessment<\/p>\n\n\n\n

\u25a0 \u201cKnowledge Collector\u201d UI image<\/strong><\/p>\n\n\n\n

Easily create report templates with no-code report builder<\/strong>
Voice input \/ pulldown \/ radio button \/ photo \/ video \/ barcode \/ QR code, etc.<\/p>\n\n\n\n

Easy input with smartphone<\/strong>
Available with browser app (no app installation required)<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

<\/p>\n\n\n\n

\u25a0Hyperautomation realized with Cinnamon AI's "IDP technology"<\/strong><\/p>\n\n\n\n

Since 2017, Cinnamon AI has been providing AI solutions such as the original high-precision AI-OCR "Flax Scanner", voice recognition technology, and natural language processing technology, mainly to major domestic companies. These advanced "IDP technologies (Intelligent Document Processing = advanced technology for analyzing documents and extracting and organizing information)," for which we have accumulated know-how as technological assets, are generative AI technologies that have shown new development in recent years. By incorporating AI technology that is evolving globally, such as integration with AI, we are realizing the development of even more innovative AI solutions.<\/p>\n\n\n\n

"IDP technology" is an important technology that is the basis for realizing hyper-automation in companies, and Cinnamon AI has excellent AI technology in this area, with papers accepted at top international conferences.<\/p>\n\n\n\n


<\/p>","protected":false},"excerpt":{"rendered":"

Generate necessary information from voice-input reports. AI automatically extracts and generates information. AI provides accurate advice on reports. We have developed our original AI product, "Knowledge," which allows you to easily collect knowledge using a variety of data input methods, including voice, images, and video.<\/p>","protected":false},"template":"","news-cat":[27],"news-tag":[],"class_list":["post-4076","news","type-news","status-publish","hentry","news-cat-press"],"acf":[],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/cinnamon.ai\/en\/wp-json\/wp\/v2\/news\/4076","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/cinnamon.ai\/en\/wp-json\/wp\/v2\/news"}],"about":[{"href":"https:\/\/cinnamon.ai\/en\/wp-json\/wp\/v2\/types\/news"}],"wp:attachment":[{"href":"https:\/\/cinnamon.ai\/en\/wp-json\/wp\/v2\/media?parent=4076"}],"wp:term":[{"taxonomy":"news-cat","embeddable":true,"href":"https:\/\/cinnamon.ai\/en\/wp-json\/wp\/v2\/news-cat?post=4076"},{"taxonomy":"news-tag","embeddable":true,"href":"https:\/\/cinnamon.ai\/en\/wp-json\/wp\/v2\/news-tag?post=4076"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}