What is the Deep Research feature? Explaining its incredible search and analysis capabilities

Digirise has conducted a detailed investigation of ChatGPT's new feature "Deep Research." Deep Research is attracting attention as the latest feature of ChatGPT, and due to its high performance, it is expected to bring revolutionary changes to the business scene of companies.

The biggest feature of this function is its overwhelming information gathering ability, which allows it to search and analyze hundreds of websites in just a few minutes. High-precision information analysis and summarization functions using GPT-4 make it possible to generate detailed reports of up to 20,000 characters. Of particular note is its high search accuracy. Compared to conventional AI search functions, it allows for more accurate and comprehensive information gathering.

Key features of Deep Research:

• Real-time web search and analytics
• Cross-reference function from multiple sources
• Data Reliability Assessment System
• Industry-specific analysis report creation function
• Customizable report formats

Actual testing has confirmed that the system delivers high-quality information comparable to that of human researchers, even for complex business issues. In particular, it has been shown to reduce the time required for corporate market research and competitive analysis by approximately 80% compared to conventional methods.

This innovative function is expected to become an important tool to accelerate the digital transformation of companies. We plan to actively deploy this deep research function to support companies.

Digirise proves the overwhelming performance of Deep Research!

As a leading company in AI training and implementation support, Digirise thoroughly tested the performance of Deep Research. As a result, we were able to confirm its overwhelming superiority over conventional AI tools.

Most notable is its performance on the Humanity Last Exam, a sophisticated assessment system covering over 3,000 questions and 100 specializations, in which Deep Research achieved an astounding accuracy rate of 26.61 TP3T, a significantly higher rate than other major AI models.

Below are the key performance indicators of Deep Research:

• Simultaneous analysis of multiple sources: up to hundreds of sites processed in minutes
• Report generation speed: Create a detailed report of over 20,000 characters in about 7 minutes
• Multilingual support: High-precision analysis available in 29 languages
• Accuracy of information: Sourced and evidence-based information provided

Its performance is particularly outstanding in specialized fields such as finance, medicine, and law. In our testing, we confirmed that it offers overwhelming time savings compared to traditional methods in corporate market research and competitive analysis.

Deep Research is not just about collecting information, it can also evaluate the relevance and reliability of the collected information. This allows for higher quality decision-making support. Such advanced analytical capabilities are expected to be a major advantage in corporate strategy planning and market analysis.

Potential for companies to use deep research

We conducted practical verification of specific scenarios in which Deep Research can be used in companies. As a result, we confirmed that it can be used in a wide range of situations, from business strategy planning to improving the efficiency of daily operations.

One of the most effective use cases is market analysis for new business development. Competitive analysis and market trend research that previously took several weeks can now be completed in just a few minutes, resulting in a more comprehensive report. Furthermore, since analysis can be performed from a global perspective, it is a particularly useful tool for companies considering expanding overseas.

Main use cases in actual business:

• Industry trend analysis: Understanding the latest trends and market size
• Competitor analysis: product/service comparison, strategy analysis
• Technology research: latest technology trends, collection of patent information
• Consumer insight: word-of-mouth analysis, understanding market needs
• Regulatory research: information on regulations in each country, compliance support

Particularly impressive was its use in the medical field. In investigating the latest research trends and treatments in the medical industry, Deep Research demonstrated its ability to gather information with high accuracy and support medical professionals in making decisions.

In the financial industry, it also outperforms traditional analytical tools in market trend analysis and risk assessment. For example, when analyzing trends in global financial markets, data from multiple sources can be integrated to provide a more comprehensive analysis.

AI tool introduction and utilization support guide

We provide AI training and AI tools for businesses. We have already implemented our services in over 200 companies, and have supported the use of AI in companies. We are particularly proud of our top track record in Japan for corporate AI training.

In order to help you experience the concrete effects of using AI, we are offering a free collection of 100 prompts that could not be introduced in the video. This collection of prompts summarizes practical use cases that directly lead to improved business efficiency. We also have a white paper that summarizes the winning strategy for introducing AI into companies.

We accept individual consultations regarding the use of AI in actual business operations and the introduction of tools. We will propose the most suitable method of using AI according to the size of the company and the industry. We also provide support for promoting and educating employees on the use of AI within the company based on our extensive track record.