FRONTEO's in-house developed AI engine "KIBIT"
"KIBIT" is
"Specialized AI" that helps find optimal information from vast amounts of data
"KIBIT" is an AI (artificial intelligence) developed in-house by FRONTEO and continues to be improved. It is a "specialized AI" that has strengths in natural language processing and network analysis, and by deriving discoveries from vast amounts of data, it provides experts working on solving problems with completely new perspectives and insights.
Linguistic AI for analyzing text
"KIBIT" processes large amounts of data on behalf of humans by reading people's implicit knowledge and intuition from text and reproducing human judgments and ways of searching for information.
It demonstrates high accuracy in analyzing not only English, but also special character codes and delimiter positions in Japanese and other Asian languages (Korean and Chinese).
Discovery and search from unstructured data
Documents, emails, and research papers contain large amounts of text data, which makes it difficult to analyze them as they are in the same way as numerical data.
KIBIT excels at analyzing this so-called unstructured data using the power of natural language processing to accurately find the information you need.
Unique Vectorization and Algorithms
At KIBIT, we have developed and use our own algorithm that is different from Transformer, which is the mainstream algorithm used in generative AI such as ChatGPT.
KIBIT has an algorithm that specializes in language understanding rather than sentence generation, making it optimized for document discovery and relevance detection.
Intuitive data visualization
We also place emphasis on "visualization" through mapping in order to intuitively grasp the overall picture of the information, its characteristics, and the relationships between elements.
This "mapping" process not only increases the value of information, but also leads to "serendipity," which allows for the discovery of unexpected information.
Difference between AI "KIBIT" and generative AI
Generative AI is an AI that generates content such as images and texts that are different from the original data based on learned patterns. ChatGPT and Gemini are well-known examples of language-based generative AI. Large-scale language models (LLMs) are a type of generative AI, and are deep learning models trained on huge amounts of text data.
On the other hand, FRONTEO's AI "KIBIT" reproduces the judgment and tacit knowledge of highly specialized experts using algorithms, and is adept at finding necessary information from vast amounts of data and leading to discoveries.
Specialized AI "KIBIT"
Reproducing expert thinking with algorithms
It specializes in replicating the excellent judgment and tacit knowledge of experts and locating information within documents, thereby supporting the high-level judgment of experts.
Support and implementation track record for many large companies
It has been adopted by large companies, including government agencies and major financial institutions, and has been accompanying their operations for many years, achieving success.
Light enough to operate at the same level as a laptop
The amount of calculation required for analysis is small by minimizing parameters, etc. Therefore, it is a power-saving, easy-to-implement AI engine that can operate at the notebook PC level.
No risk of hallucination
Since the model is constructed only from the data to be analyzed, there is no risk of hallucination and analysis can be performed with high accuracy.
Generative language AI, large-scale language models (LLM)
A model optimized for next word prediction
The AI model is optimized to continually predict the next word (token), and can generate answers to questions and summaries of sentences based on learned data.
Challenges in optimizing operations for each business
In recent years, it has continued to develop rapidly and is being increasingly adopted by companies, but there are still challenges to be overcome in optimizing its operations, and trial and error is ongoing.
Requires large-scale computing resources
The deep learning used in generative AI requires massive calculations in the hidden layers to output results, which requires large amounts of electrical energy.
Beware of hallucinations in the output
This is a general-purpose model that has been pre-trained with general information, and care should be taken when using it as the output results may be hallucinated.