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Visualization AI Project with Recommendations

S&P 500 Global


Conclusion: An interesting design solution proposed by the company S&P Global. It displays a division into 3 buttons that you can go to and see different articles, studies and ratings.

Recommendations: Our company has similar solutions, but using this example, you can make adjustments to our solutions and modify them a little, for example, make them movable when you hover over them with the mouse. Also, we should also think about adding a photo (appropriate to the industry or project theme) for these cells.


Conclusion: This design solution is concise and easy to understand for the user, it can be used both on the project website and in reports and studies. This solution is quite simple to implement and compact, which will save space for adding other important information.

Recommendations: This visualisation can be used to compare the performance of competitors. For example, we will be able to implement this visualisation for new projects, after conducting a detailed competitive analysis in them.


Conclusion: This visualisation can be useful for a company that is engaged in financial investments and risk assessment, including in the field of artificial intelligence. This visualisation is a visual and effective way to present information about the credit risk of countries, which can be useful for data visualisation and company reporting. With the help of this visualisation, we can consider the following parameters: The number of investors by country; Total Funding by country;

Recommendations: Our company should add a map of the world, with such parameters as: company profits; the number of investors; Total fundings. We can use this visualisation for the project Artificial Intelligence Industry Benchmarks . For example, we can replace the information in the cells with the information we need, for example, the financial condition of the leading countries in the direction we are researching.

This will be useful because:

  1. Visualising a world map with data on the financial health of competitors and their investors can help you determine how well competitors are doing in certain markets and what competitive advantages they have.

  2. Visualisation can help identify potential markets for business expansion.

  3. Identification of potential investors.

  4. Visualising a world map with data on the financial condition of competitors can help assess the market potential for different regions.


Conclusion: This visualisation displays a detailed road map. This visualisation clearly shows where and when it started, as well as the result, how it ended and in what period of time.

Recommendations: Our company may use this solution in the research and reports it creates, for example, to describe AI technology and its development, or for example, an AI solution invented by us or another and its phased implementation.


Conclusion: This visualisation is a visual and effective way to present information about the credit risk of various sectors of the economy, which can be useful for data visualisation and company reporting.

Recommendations: This is an interesting concise solution that can be used in future projects to help our company make more informed decisions in the field of financial investments and risk assessment in any of the industries.


Conclusion: This rating sheet describes in detail and helps to compare companies in many ways. The visualisation of this rating list is simple and concise, which the user likes. The data is readable and understandable, there are useful links.

Recommendations: Our company should use this rating list, for example, for a detailed description of the reports issued by our company, we should add the following parameters: Report title, Publication date, Link to the report, Analyst team that worked on the report, Industry that is being studied, Number of purchases / Number of views of the report.


Conclusion: An interesting design solution that is easy to understand for users can be used to visualise the geographic distribution of audiences, customers, users, or markets, which can help identify trends and identify potential opportunities for business expansion.

Recommendations: Our company should continue to implement this solution in its projects, for a detailed and visual display of data about investors, financial indicators, about the presence and number of competitors in a particular region. Also with the help of the map, we can determine market trends and competition in different regions of the world. You can use the map to identify the geographical areas where your main competitors are located and compare their presence and activity in different countries or regions.


Conclusion: This visualisation display shows tabs for industries researched by the company. The interface of this display is simple and clickable. 

Recommendations: We should consider implementing this solution for the project AI Framework. We can use this design solution for our project to display the Sectors, Industries, sub-industries we are researching and the modernised names of these industries.


Conclusion: This visualisation depicts the division of 100 leading companies in the AI industry. Visualisation is easy to perceive, dynamic and easy for users to understand. 

Recommendation: Our company can use this visualisation in its various projects. Using this visualisation, you can display information about the Top 50 or Top 100 companies / investors / countries using or implementing a particular technology.


Conclusion: By clicking on this button, the site takes us to a report developed by the company. Look concise. Also, the user does not need to search for a report in a separate database, the user can easily view the report. 

Recommendation: This design solution can also be used by our company. This solution can be implemented on each of the projects (providing reports or other studies), this button will look appropriate on the platforms, and will also help increase the number of views of our company's reports, as users will be able to find the report without additional effort.


Conclusion: This visualisation displays the ranking of the leading universities that research AI. The visualisation is easy to understand for every user. Also on this dashboard, you can switch parameters and see statistics by city and country. 

This visualisation is quite informative for the user. When seeing this kind of visualisation, the user immediately sees the information he needs, namely the leading university, country, number of authors and other additional parameters.

Recommendation: Our company should apply this solution for the "Artificial Intelligence Industry Benchmarks" project, "Rankings of Educational Institutions" tab. I believe that this interactive chart will be more concise in this tab, with the help of this solution, we will be able to display information about "Rankings of Companies by Industry", "Rankings of Companies by Region", "Overvalued AI companies" in one chart.


Conclusion: Is an interesting solution for data visualisation of scientific publications in the field of artificial intelligence. The visualisation allows the user to select various parameters for analysis, such as the number of articles, citations, and other metrics. This makes it useful for analysing and comparing the scientific activity of various researchers and companies in the field of artificial intelligence.

Recommendations: This visualisation will be useful for our company if we decide to research and determine who are the leading researchers in the field of artificial intelligence, and which companies are actively working in this field. This will help you understand which research and projects in the field of artificial intelligence are the most promising, as well as identify potential partners and competitors.

It will also be possible to implement this visualisation to analyse trends in scientific activity in the field of artificial intelligence.


Сonclusion: In this visualisation dashboard, we see the "Global and National AI Vibrancy Rankings" study. Visualisation data is easy to understand. Each of the visualisations is clickable, the functions that can be changed on dashboards are highlighted in green. When changing parameters, dashboards quickly change information without delay. In photo 3 - when you hover over the dashboard to each cell, there is additional information, this helps the user to understand the research material in more detail.

Recommendation: Our company should keep this visualisation solution in mind in order to implement it in future projects or update previous projects. With the help of these visualisations, we can demonstrate the following parameters: 

  • How the number of investments in the company has changed over a certain period;

  • How has the number of investors changed;

  • Company financing;

  • Number of employees and other useful information.


Conclusion: This is an interesting design solution implemented by the company Accenture. With this information platform, you can discover different levels of AI maturity across industries, company sizes, and geographies using the filters below. Click "Reset" to return to the general view.

Recommendation: Our company should consider implementing a similar dashboard for future and existing projects. This information panel can be used to visualise SWOT analysis. For a detailed display of strengths, weaknesses, as well as opportunities and potential threats for companies.


Conclusion: This is a design decision presented by the European Commission. Like all government sites, this one also has an official business style. This is definitely an advantage of this solution, since such functionality is inherent in both government and commercial organisations. The design is simple and understandable for the user, without unnecessary elements that may not be clear to the user who is considering such solutions for the first time. 

Recommendations: We should consider implementing this solution for the project AI Framework. We can use this design solution for our project to display the Sectors, Industries, sub-industries we are researching and the modernised names of these industries.


Conclusion: This decision is interesting for the structure of the global artificial intelligence market. The visualisation is made in the form of an interactive map of the world, which displays various data about the AI market.

Also one of the features is the use of different colours to display indicators such as the size of the market, the number of companies or the level of investment. This makes the visualisation more readable and understandable, allowing you to quickly navigate the data.

Recommendations: Our company can implement this kind of interactive map to track the growth of the AI market in different regions and countries. This will help to identify potential markets for investment in AI, as well as compare the degree of development of individual countries and regions.

Another way to use visualisation is to track the growth of specific AI market segments such as machine learning, natural language processing or computer vision. This will help determine which segments of the AI market have the greatest potential for growth and development, and which specific technologies to focus on.

You can also use visualisation to track trends and changes in specific industries such as healthcare, automotive, or finance. This will help to better understand how AI affects individual industries and which specific applications of AI may be the most promising for development. All these recommendations can be implemented in the project AI Industry Framework.


Conclusion: The Evident AI Index evaluates the different approaches enterprises are taking to achieve AI readiness. On this visualisation we see a clear visualisation, on this template there is an option to switch between "Rating / Grade", which allows users to see the indicators in two formats.

Recommendation: This visualisation can be used to analyse the competitive environment in the AI industry. For example, we can extend this example visualisation by creating a map that highlights the countries that are investing in AI research and development, as well as the companies that are leaders in this industry. This will help to better understand how resources are distributed in the AI industry and which companies have the greatest potential for development.

We can also upgrade the visualisation and use it to compare different countries and regions in the field of AI. We can create a similar visualisation that will highlight countries with high AI development, as well as key metrics such as the number of research papers, the number of AI-powered products entering the market, etc. This will help you better understand which regions are leading the AI industry and which could be potential markets for investment.


Conclusion: Ranking is not just for the AI industry. Simple and concise design. User-friendly. Relatively easy to implement. The categories are sorted alphabetically. Three parameters are considered "Market", "Last Updated" and "Refresh Date". Each market is clickable, when you click on it, the user follows the link.  This is a good design decision that the company has implemented for Gartner . This design solution is well suited for various divisions by industry, direction, technology.

Recommendations: We should consider implementing this solution for the project AI Framework. We can use this design solution for our project to display the Sectors, Industries, sub-industries we are researching and the modernised names of these industries.


Conclusion: This one shows a list of the best universities for the development of the Artificial Intelligence Industry. This design solution is concise. Display all the necessary data for the competitive analysis of universities. The ranking by Universities is also interesting, we can see 3 leading universities which are marked in the “World rank” with gold, silver and bronze colour. 

Recommendations: We can use this solution for the ranking list of education institutions in the project Artificial Intelligence Industry Benchmarks.


Conclusion: This interactive graph displays the key elements of the data warehouse. All four elements switch between themselves and there is an explanation for each of them. 

Recommendations: Our company can also implement such an interactive graph in order to visually demonstrate exactly which elements are included in our database and describe them in more details. This solution can be applied on platforms with dashboards.


Conclusion: An interesting design decision to display the solutions provided by the platform. Modern design, easy to understand, interactive, when you click on the parameters, a window appears with a description of the parameter.

Recommendations: In the future, it will be possible to implement such an interactive description of the services provided by the company.

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